The Dynamics of Temperate Forest Fragmentation: an Examination of Susceptibility to Woody Invasive Species
by
Lauren B. Buckley '00
A Thesis
Submitted in partial fulfillment of the requirements for
the Degree of Bachelor of Arts with Honors in Biology
WILLIAMS COLLEGE
Williamstown, Massachusetts
June 2000
Acknowledgements
Abstract
Introduction
Forest Fragments as Habitat IslandsMethods
Implication of Island Theory for Conservation Biology
Indirect Effects of fragmentation
Invasive Species
The Dynamics of Fragment Invasion
Summary
Forest Description and HistoryResults
Study Fragment Selection
Fragment Descriptions
Experimental Design
Analysis
Richness, Diversity, and Evenness
Edge EffectsDiscussion
Area Effects
Species Diversity and Evenness
Dominance and Distribution of Invasive Shrubs
Edge Associated Gradients of InvasionConclusions
Increased Susceptibility to Invasion in Smaller Fragments
The Capacity of Diversity and Evenness to Reflect Change
Community Importance of Dominant Invasive Shrubs
When an ecosystem is fully functioning, all the members are present at the assembly.
To speak of wilderness is to speak of wholeness.
| - Gary Snyder |
Acknowledgements:
I wish to acknowledge the landowners who afforded access to the study fragments
and the wisdom of individuals and land trusts dedicated to preserving the woodlots
that served as my large study fragments. My advisor Dr. Joan Edwards provided
guidance and assistance that allowed me to address large issues of island biogeography
within the woodlots of a small community; Dr. Jerry Reiter provided instrumental
statistical assistance; Dr. Dick Birnie and Sharon Macklin gave me the GIS and
remote sensing tools to expand the scale of my consideration of forest spatial
patterning; Dr. David Smith provided experimental design consultation; Dr. Hank
Art shared his knowledge of forest history and provided review; and numerous
other ecologists offered stimulating conversations and advice. I also acknowledge
the encouragement of my housemates and friends, the ecologists at the Rocky
Mountain Biological Laboratory for teaching me that ecology is a philosophy;
my parents for introducing me to the patterns of nature; and natural wildness
for inspiration.
Although my personal perspective is less extreme, I offer E.O. Wilson's sentiment
that "there's nothing more romantic than biogeography".
Abstract: Forest fragmentation
and the invasion of non-native species are two current threats to global biodiversity.
We investigate whether fragmentation increases the susceptibility to woody invasive
species in ten remnants (2 to 126 ha) of Eastern deciduous forest. We counted
all woody individuals in plots located in belt transects at the edge and center
of each fragment and midway between. While 40% of edge individuals are invasive,
interior regions have fewer invasives (14%). Species richness, abundance of
individuals, and the percentage of invasive species decline significantly from
both the edges to the centers of the fragments and with increasing fragment
area. These patterns result from increased susceptibility to invasive species
in edge regions and in smaller fragments. The increase in non-native species
with decreasing fragment area does not correspond to an equivalent decline in
the native species community, suggesting that non-native species may colonize
an empty habitat niche associated with the fragment edge. However, the interiors
of larger fragments had a richer community of native species. Overall community
diversity and evenness indices do not vary with fragment size, which suggests
their ineffectiveness in assessing the integrity of fragmented forests. The
diversity and evenness indices do, however, reflect the expansion of the non-native
species community with decreasing fragment area. Our results provide support
for conservation efforts dedicated to preserving large tracts of eastern deciduous
forests in order to minimize the invasion and dominance by non-native woody
plants.
Introduction:
Forest fragmentation has been described as one of the most pressing threat to
global biodiversity (Wilcox and Murphy 1985, Stork 1997, Raven and McNeely 1998).
Fragmentation induces transformations of the physical structure of communities
that compel changes in species composition and distribution. As much as 40%
of eastern deciduous forests exists as small isolated woodlots in the midst
of commercial, agricultural, and residential properties (Yahner 1995). Many
of fragments are severely affected by the invasion of non-native species (Schulze
et al. 1996). It is among these isolated eastern deciduous fragments
that this study has been conducted.
We study the effects of fragmentation on invasive species density and distribution
in fragments of mixed deciduous hardwood in Williamstown, MA. To elucidate the
dynamic interactions between forest fragmentation and the presence of invasive
species, we address three questions. We consider the relationship between the
density of invasive species and the following three factors: (1) distance from
the edge of the fragment; (2) fragment size; and (3) species richness or species
diversity of the fragment. We examine the correlation of species composition
with these factors by censusing vegetation at three distances from the edge
of ten habitat fragments spanning a spectrum of areas from 1ha to 126ha.
Although fragmentation and the associated losses of biodiversity occur globally,
much research has focused on hot spots, areas of tremendous biodiversity, that
are primarily located in tropical areas (Douglas 1998). While concentrating
fragmentation studies on regions of rich biodiversity incurring colossal rates
of destruction is justified, fragmentation also presents a tremendous threat
to temperate ecosystems. The lesser degree of alarm with which the fragmentation
of temperate forests, such as eastern deciduous forests, has been viewed may
be attributed to the greater population densities and broader geographic ranges
of temperate species. Additionally, much of the most severe fragmentation is
historic, having initiated with European arrival in North America in the 17th
century (Wilcove et al. 1986). However, the destruction of 95-97% of
old growth forests throughout the continental United States provides cause for
concern.
I first review the existing degree of understanding of the dynamics of forest
fragmentation. Forest fragments remain isolated among a sea of agricultural
and residential land, compelling comparison to isolated oceanic islands and
application of the theory of island biogeography. The edges of the fragments
are human-induced ecotones, transition zones between community types. At the
ecotone between forest and open land, forests are subject to microclimates and
seed inputs unlike those present in the forest interior. The plants that thrive
at forest margins are often opportunistic, pioneer species, many of which are
non-native to the fragmented region. The presence of non-native species may
cause further alterations in species composition and species richness through
resource competition and alteration of their microenvironments.
Forest Fragments as habitat islands
An underlying question of community ecology involves patterns of species distributions
in space. Much of the initial work in this area of community ecology is summarized
by Preston's species-area relationship, which suggests that community species
richness is an exponential function of the available area of habitat. The relation
assumes the form
where S denotes species richness, A denotes area, and z denotes a community
parameter indicating the breadth of species ranges or how rapidly new species
are added with increasing area (Preston 1962). The capacity of larger areas
to sustain more species serves as the underlying premise for the equilibrium
theory of island biogeography, developed by MacArthur and Wilson (1967).
According to island biogeography, the number of species on an island is a function
of the island's colonization rates and extinction rates. The immigration rate
will decline with increasing distance from adjacent islands due to the increasing
distance from the source pool. The extinction rate will decrease as island size
increases, due to a greater ease of obtaining resources and evading predators
on larger islands (MacArthur and Wilson 1967). If the positions of islands are
selected stochastically, larger islands will tend to possess greater habitat
heterogeneity (Yahner 1995).
The theory of island biogeography has been applied to forest fragmentation by
relating species of true oceanic islands to those of isolated forest patches.
The theory has proven successful in capturing the trends in species immigration
and extinction of a variety of fragmented habitats (see review in Simberloff
1988, also Harris 1984). Island biogeography theory has been effectively used
to address changes in species composition associated with tropical rain forest
fragmentation. The most prominent of these studies is the Biological Dynamics
of Fragmentation project, a long term study of fragmentation conducted on land
cleared for grazing in the Brazilian Amazon (Lovejoy et al. 1986, Bierregaard
et al. 1992, Lovejoy and Oren 1981).
Despite the success of numerous studies in using island theory to address habitat
fragmentation, questions remain as to the validity of applying island biogeography
to the study of habitat fragmentation. A primary issue of contention is that
the barriers for movement between habitat islands (ie. mountains or roads) may
be extremely distinct from those of ocean islands (ie. open water) (Margules
et al. 1982). While the ocean separating habitat islands is inhospitable to
many species, the lands between forest fragments may be marginally accommodating
for species. Hence, the scale of isolation and the inter-fragment matrix may
differ markedly (Doak and Mills 1994). Whittaker (1998) cites non-random patterns
of community assemblage as rational for preferring to address fragmentation
with empirical observation over theoretical analysis. While empirical studies
may better suit the design of particular conservation reserves, the application
of island biogeography theory to habitat fragmentation remains essential to
understanding the fundamental dynamics of fragmentation.
When applying the theory of island biogeography to habitat fragmentation, the
time since isolation must be considered. Saunders (1991) observed that species
richness depends upon time since isolation. Often, a newly formed fragment initially
contains more species than it is capable of sustaining without access to the
resources of adjacent forests. A loss of species termed species-relaxation
will occur until the fragment reaches a sustainable level of species richness
(Saunders 1991). Successful reproduction and maintenance is necessary for the
survival of the remaining species.
An increasing incidence of habitat fragmentation associated with human land
use has resulted in an increasing number of species existing as metapopulations
(New 1997). Metapopulations are assemblages of local populations sustained
by a balance of the extinction and colonization (Levins 1970 cited in Hill,
Thomas, and Lewis 1996). Metapopulations are characterized by the following
four conditions: (1) local breeding populations occupy discrete habitat patches,
although individuals are exchanged through relatively infrequent migration;
(2) the small local populations network to form a larger population with a longer
duration that any local population; (3) patches are sufficiently connected to
allow recolonization; and (4) sufficient spatial and environmental variation
exists to prohibit simultaneous extinction of all local populations (Hanski
and Kuussaari 1995). The rescue effect enacted by metapopulations allows
the separated groups to periodically serve as sources or sink of species; when
a species becomes locally extinct, individuals from another group will recolonize
the essentially vacated community niche. In this manner, the effective area
of a habitat fragment may be augmented (Thomas and Hanskii 1997).
Implication of Island Theory for Conservation
Biology
Island biogeography has been used in the debate, which has become referred to
as SLOSS (single large or several small), which addresses which reserve design
methodology is more effective in furthering conservation initiatives (Wilcox
and Murphy 1985). While it is undisputed that more and larger reserves should
universally be preferred, the SLOSS debate treats conservation priority in cases
of limited resources. The foremost of the initial attempts to apply the principles
of island biology to reserve design was Diamond's (1975) suggestion that, in
the absence of empirical data, reserves should be preferred which are larger,
less separated, circular rather than elongated, and connected by corridors (Figure
1).

Figure 1: Diamond (1975) suggested that in the absence of empirical data,
reserves
should be preferred which are larger (A), less separated (B), circular rather
than
elongated (C), and connected by corridors (D).
Simberloff and Abele (1976) rebutted the assertions by claiming that the application
of island biogeography to reserve design was premature and that the species-area
relationship (SAR) is actually neutral in deciding between a single large and
several small reserves. In homogenous habitat, a large reserve will indeed be
able to support more species than several small reserves. However, environmental
heterogeneity significantly determines species composition on relatively small
scales. Hence, depending on the degree of overlap in species composition between
reserves, several small reserves may support more species than a single large
reserve. Several small reserves would be stochastically likely to include a
greater number of habitat types (Simberloff and Abele 1976).
While many accept Simberloff and Abele's SAR reasoning, they criticize their
argument's failure to consider a spectrum of other conservation concerns. Researchers
warn of the danger of using species richness as a reserve selection criterion
in the absence of concern for particular species. Diamond (1976) stresses the
need for minimum population size considerations because (1) some habitats only
exist on large patches; (2) food supplies may be seasonally or spatially patchy;
(3) low population densities of some species may cause low recolonization potential;
and (4) hot spots of high resources only constitute a fraction of habitat. Maintaining
his support of large reserve areas, Diamond (1976) suggests that optimal reserve
design entails a large reserve accompanied by smaller reserves. The small reserves
would be intended to avoid environmental catastrophe and provide habitat for
species excluded from the larger patch by competition (Diamond 1976).
As source populations will seldom be available in actual reserve designs, Terborgh
(1976) claims that logic suggests minimizing extinctions. Further, extinctions
may initially effect the most vulnerable species in consistent order across
smaller reserves (Terborgh 1976). Cole (1981) constructed a model (although
with somewhat questionable methods) that countered the conclusions of Simberloff
and Abele (1976). Wilcox and Murphy (1985) criticize the assumption of Simberloff
and Abele (1976) that most species are fairly innocuous to fragmentation. They
stress the distinction between habitat fragmentation and the issue of SLOSS.
While fragmentation concerns species relaxation, the SLOSS issue involves which
reserve configuration will support more species following relaxation (Wilcox
and Murphy 1985).
Diamond's (1975) selection criteria favoring large and connected reserves appears
generally desirable. Reflecting on the irreversibility of fragmentation and
the large-scale habitat requirements of some species (Sullivan and Shaffer 1975),
we suggest that large conservation reserves are essential to the preservation
of biodiversity. The synergistic effects of loss of area (as dictated by species-area
relationships) and fragmentation (including isolation as addressed by island
biogeography as well as edge effects) may render a single large tracts of land
preferable to several smaller tracts (Whittaker 1998).
An emerging concept in considerations of habitat patches is that of the vegetation
matrix surrounding habitat islands. The density and type of vegetation between
forest patches is important in determining the ease with which species are able
to move between fragments. In areas with poor inter-fragment potential for migration,
corridors function as strips of habitat that connect habitat fragments by allowing
for species movement. The effectiveness and desirable characteristics of corridors
vary widely according to the type of habitat and species composition (Saunders
1991). Indeed, corridors may actually be detrimental to some species that would
thrive better in isolation (Whittaker 1998).
Indirect Effects of Fragmentation
The formation of a new ecotone at the transition from the edge of the forest
into the surrounding cleared land causes a profusion of edge effects
(Wales 1972). Murcia (1995) cites three general types of edge effects: abiotic
environmental changes, direct biological effects, and indirect biological effects.
Direct biological effects include shifts in the abundance and distribution of
species subject to degrees of physiological tolerance to physical edge conditions
such as desiccation, temperature, and wind. Indirect effects propagate through
changes in species interactions compelled by the changing physical edge conditions
(Murcia 1995). Microclimate, vegetation structure, and floristic composition
delineate edge habitats (Williams-Linera et al. 1998). Although numerous
studies have calculated edge width for fragments of particular microclimates
and species compositions, no general method exists for estimating edge width
(Matlack and Litvaitis 1999). However, the ratio of the area of edge to the
total area of the fragment has been found to be instrumental in configuring
spatial vegetation patterns (Chen et al. 1996).
Abiotic Edge Effects
Microclimate changes are small scale variations in the subsuming climate
caused by alterations of a forest's physical characteristics. The open agricultural
or residential land surrounding forests fragments incurs more ground solar radiation
during the day as well as increased atmospheric reradiation at night than the
forest sub-canopy, which is cooler, moister, and less variable. This microclimate
dichotomy creates a temperature and moisture gradient perpendicular to the forest
edge (Murcia 1995). Higher radiation levels permeate the edge of the forest.
This increase in radiation varies according to the edge aspect. While a south
facing edge may receive 180-200 hours of sunlight during mid-summer months,
the corresponding north facing edge may receive only 20-60 hours (Geiger 1966
cited in Ranney 1977). This difference in radiation accounts for the more pronounced
edge effects observed along southern edges (Palik and Murphy 1990). A synthesis
of tropical forest fragmentation presents the range of microclimate alteration
at forest edges as occurring within 15-60m. Physical microclimate changes such
as wind extend as far as 100m (Laurence et al. 1997).
Increased radiation also elevates edge temperatures above those of forest interiors.
The high albedo (reflectance) of cleared lands, which may be 50% greater than
that of forests, results in increased energy along the forest edges (Colwell
1974 cited in Ranney 1977). The wind that sweeps across open lands also permeates
the forest edges. Increases in temperature and wind velocity coupled with the
lesser evapotranspiration in open lands decreases air as well as soil moisture
(Murcia 1995). An additional source of abiotic effects is the introduction of
chemical compounds such as fertilizers from croplands into adjacent forests
(Murcia 1995).
Direct and Indirect Biological Effects
Increased solar radiation may augment plant growth along the fragment edges.
Understory cover density was observed to increase from 15% at forest interiors
to 40% along forest edges (Barrick 1945 cited in Ranney 1977). Altered abiotic
conditions along the forest margins may favor the colonization of shade-intolerant,
pioneer species. Plants exhibiting pioneer traits are disproportionately non-native
species.
The ability of plants to germinate in the altered abiotic conditions will also
determine species composition. Changes in light input alone achieved through
patch clearing may differentially favor the germination of weedy species (Nee
and May 1992). A study conducted in fragments of Brazilian rainforest found
that a native herb, Heliconia acuminata, was between 3 and 7 times more
likely to germinate in continuous forests than in forest fragments of 1to 10
ha (Bruna 1999). A study of the distribution of shade tolerant tree seedlings
in 1, 10, and 100 ha fragments of tropical rainforest observed a decline in
seedling density towards the edge of the fragment and as the size of the fragment
decreased (Benitez-Malvido 1998). Edge effects were found to be more responsible
for the observed trends than area loss. A decrease in seed rain was attributed
to increased seed mortality, reduced seed output and dispersal, high seed predation,
and lower seedling establishment (Benitez-Malvido 1998).
Interior forest species may not be as limited by edge microclimate as by competition
from edge species (Palik and Murphy 1990). The edges will often receive greater
seed input due to the transport of wind dispersed seeds between fragments (Ranney
et al. 1981). Additionally, edges may attract seed-dispersing herbivores
to forage the augmented herb cover. Birds are able to find many nesting sites
and food sources in the multi-level vegetation of forest edges (Matlack and
Litvaitis 1999). Hence, augmented fruit and seed dispersal may increase the
relative densities of animal and bird disperse species, many of which are berry
producing invasive species (Cox 1999). Models suggest that dispersal ability
is the most essential determinant of invasive spread (Higgens et al.
1999).
The traits cited as promoting propagation along forest edges are largely characteristic
of invasive species. These traits include abundant seed production, wide seed
dispersal, the ability to germinate under a variety of conditions, rapid growth,
preference for high light environments, the ability to withstand disturbance,
and strong competitive abilities (Cox 1999). In a study of transitions along
a forest-field gradient, a principle component analysis found the first two
components to be related to the forest edge (Meiners and Pickett 1999). Accordingly,
species richness, the Shannon-Weiner diversity index, and the percent total
cover increased from the forest interior to edge in the study. The edge also
possessed greater heterogeneity of vegetation structure. Much of this increase
in species richness and diversity may be attributed to colonization by invasive
species (Meiners and Pickett 1999). Hence, one should couple considerations
of species richness and diversity with knowledge of the composition of edge
vegetation in order to accurately assess vegetation changes associates with
fragmentation (Saunders 1991).
Invasive Species
The majority of fragmentation studies emphasize the loss of native species rather
than colonization by invasive species (for an exception, see Brothers and Spingarn
1993). I use the terms non-native and invasive species interchangeably throughout
this paper to indicate species that are non-indigeous members of the local plant
community (although not all non-native plants have invasive propagation patterns).
The competitive ability of many invasive species presents a serious threat to
native biota. In accordance will the theory of island biogeography, the reduced
selection pressures subjected on island biota may render the island more susceptible
to invasion (Carlquist 1974). Reduced abundance of young trees and seedlings
is often attributed to either fragmentation of populations or competition with
introduced species. Such is the case for a threatened native tree, Dombeya
acutangula, on La Renunion Island in the Indian Ocean (Gigord et al. 1999).
Although forest edges and fragmentation often allow for the invasion of non-native
species, in several cases, the isolation of forest fragments has prevented invasion
by non-native species. One observation of greater invasive cover within forests
of greater area and connectivity occurred in the case of an invasive honeysuckle
shrub, Lonicera maacki (Hutchinson and Vankat 1998).
The spread of invasive species generally occurs through two means: populations
either advance steadily or establish isolated populations from an initial center
of introduction (Shigesada and Kawasaki 1997, Baker 1986). While the first of
these strategies is independent of disturbance, the spatial and temporal scales
of disturbance orchestrate the second (Bazzaz 1986). In a study of the forest
colonization of Lonicera maackii, small populations propagated through
a series of small dispersal events for approximately ten years; at that time,
a dramatic population expansion occurred due to the advent of seed reproduction
by the initial colonizers (Deering 1999).
In most systems, disturbance, (including clearing and fire), encourages alien
invasion by reducing light and resource competition (Brothers and Spingarn 1993).
Although disturbed habitats may be the most susceptible to invasion by non-native
species, in some communities a degree of disturbance is essential to maintaining
ecosystem integrity, a notion encapsulated by the intermediate disturbance
hypothesis (Roberts et al. 1995). The edge response of the forest
may hinder further invasion. A dense wall of vegetation that develops in the
increased radiation of the forest edge ultimately reduces interior light levels
and wind speed and hinders the entrance of seed disperses (excepting birds to
a degree) (Brothers and Spingarn 1993). Despite the hope offered by this finding
for the integrity (associated with factors such as ecosystem health or sustainability)
of small fragments, the fear remains that future assaults on native biota may
arise among shade tolerant non-native species (Brothers and Spingarn 1993).
Issues of Fragment invasion
Distance from the Fragment Edge
The primary question which this study intends to address is the manner in which
the density of invasive species changes along a transect from the edge to the
interior of habitat fragments. We anticipate that invasive density will decrease
towards the interior of the fragments because light and seed inputs will dwindle.
Although few studies have explicitly considered the relationship between invasive
density and distribution and degrees of habitat fragmentation, precedence for
this study is provided by a study conducted in 7 Indiana old growth forest stands
ranging in size from 7 to 23 ha. Vegetation was censused along five belt transects
dispersed from the edge to the center of the fragment with consideration granted
to edge aspect (Brothers and Spingarn 1993). 37 of the 58 non-native species
censused among the 7 fragments were observed only on the exterior transect,
while an additional 6 non-native species did not extend beyond 2m into the fragment.
The mean species richness of invasives declined from 11.1% to 1.5% from the
exterior transect to the transect extending 8m into the interior. At a distance
of 50m from the edge, only 10% of the plots harbored even a single non-native
species. Invasive species density decreased sharply beyond the edge, and the
invasive species that did manage to permeate into the interior were generally
small, isolated, and non-reproducing individuals (Brothers and Spingarn 1993).
Although edge effects have been observed to end abruptly in several studies,
no distinct discontinuity existed between the edge and interior of forest fragments
in Wisconsin (Ranney et al. 1981). However, vegetation beyond 10-15m
into the fragments possessed characteristics of interior forests (Ranney et
al. 1981). Matlack (1994) found edge species distribution to correspond
with a distinct climatic gradient. While most edge species were confined to
within 5m of the forest margin, some more shade tolerant species reached their
peak densities as far as 40m, the greatest distance censused, into the fragments
of eastern deciduous forest.
The maximum edge penetration of a sugar maple and beech dominated forest fragment
was found to be 45m and 5m, on the south and north aspects, respectively (Palik
and Murphy 1990). Meiners and Pickett (1999) observed that non-native species
were restricted to within 20m of the forest edge. A review of edge effects suggested
that edge effects generally do not extend beyond 50m into the fragment (Murcia
1995). Previous research involving Lonicera maackii also supports the
decline in invasive species presence from the edge to the interior of forest
fragments (Luken and Goessling 1995, Rose and Fairweather 1997). While the most
dramatic edge effects are fairly well contained, subtler effects extend much
father. Subtle effects have been observed to permeate up to 300m into Brazilian
fragment interiors (Laurance et al. 1998).
Fragment Area
Our experiment also intends to tests whether the density of invasive species
is correlated to patch size. As discussed above, invasives are anticipated to
be more abundant at the edges of fragments. As smaller patches have a greater
ratio of edge to interior area (Haila 1999) (Figure 2), the density of invasives
is anticipated to be correlated to patch size. Additionally, if seed dispersal
is the determining factor of invasive distribution, the seeds of invasive species
will be able to reach the interior of the small forest fragments more readily
than that of large fragments. The size of the patch may also effect the fragment's
ability to withstand disturbance (Zuidema, Sayer, and Dijkman 1996).

Figure 2: Given an equal edge width, fragments that are (A) smaller or
(B) less circular
will have a greater ratio of edge area to interior area.
Small fragment may lack interior forest types entirely. Observation of edge
effects in 1 ha and 10 ha fragments as well as continuous section of Brazilian
rainforest supported this assertion (Malcolm 1994). Data from a study of fragmented
woodlots in Wisconsin were fit to a species-area curve. Total woody species
richness was observed to increase with increasing woodlot size to approximately
2.3 ha. This area was interpreted as the threshold above which interior forest
types may be differentiated. Accordingly, the lesser species richness of fragments
with areas greater than 2.3 ha may be attributed to the exclusion of invasive
species (Levenson 1981). Another study of Wisconsin fragmentation estimated
a threshold of 3 ha for the initiation of interior forest (Ranney et al.
1981). These estimated threshold areas correspond well with that of 2 ha estimated
for a mature oak forest in New Jersey (Forman and Elfstron 1975 cited in Levenson
1981). A 4.7 ha sugar maple and beech dominated forest was estimated to consist
of 41% edge conditions (Palik and Murphy 1990). A study of fragments of Australian
bushland ranging in size from 5 to 200ha found that the correlation between
remnant size and integrity was due to the greater habitat heterogeneity present
in larger patches (Gilfedder and Kirkpatrick 1998).
A mathematical "core-area" model based on data from an 18-year study
of Brazilian fragmentation is employed by Laurance et al. (1998) to estimate
the critical fragment area below which edge effects become prominent. This area
threshold was estimated to be between 100 and 400 ha in the Brazilian rainforest,
depending on the shape of the fragment. However, despite the degradation of
small fragments by edge effects, fragments with areas below this threshold do
afford substantial conservation contributions. Conversely, the effects of fragmentation
may be considerable in much larger fragments (such as 1000 ha), particularly
if the fragment shape distinctly deviates from circular (Laurance et al.
1998).
Fragmentation Dynamics of Species Richness and Diversity
A lingering question in the study of fragmentation involves whether invasive
density is correlated to the species richness or species diversity of fragment.
Although the presence of a correlation may be empirically considered through
simple field observations, the causes of any observed correlation between species
richness and diversity and invasive cover are difficult to isolate. Observed
correlations may result from differential invasion in fragments with either
high or low species diversity and richness or, alternately, changes in forest
composition induced by the presence of invasives. The association between community
stability, including resistance to invasion, and species diversity continues
to be debated (Case 1991). In his classic text on invasivity, Elton (1958) suggested
that the resistance to invasion of a community increases with species richness.
However, a theoretical treatment yielded the converse prediction (May 1973).
Two recent models fail to resolve this discrepancy. One model suggests that
communities can increase resistance to invasion through increasing species number
and thus the strength and variance of interspecific competition (Case 1991).
Strongly interacting species deter invaders due to their low densities. Dependence
on species richness invokes the theory of island biogeography as a determinant
of invasivity (Case 1991). A model of the spread of invasive plants in South
Africa predicts that augmented native plant diversity may open a community to
invasion (Higgens et al. 1999).
Empirical support has been gathered in support of each of these concepts. A
long-term study of an herb invasion in a mountain beech community found that
species rich sites experienced a greater incidence of invasion (Wiser et
al. 1998). Conversely, a study of grassland ecosystems found that increased
species richness increases resistance to invasion (Tilman 1997). This discrepancy
may be able to be resolved by considering functional diversity rather than species
diversity parameters (Huston 1997).
The presence of non-native plants has generally been found to decrease species
richness and diversity (Woods 1993). A study of the invasion of a non-native
honeysuckle, Lonicera tatarica, in four New England forests showed a
decline in the herb cover, species richness, and the density of tree seedlings
when the L. tatarica cover exceeded 30% (Woods 1993). The study, however, highlighted
the influence of the environmental conditions in determining invasive behavior.
In Williamstown's Hopkins forest, which possesses more acidic and less nutrient
rich soil than the other 3 forests, L. tatarica cover was directly correlated
with herb cover and species richness (Woods 1993). Examination of all the invasives
in the forest community of Williamstown will allow for further exploration of
this trend.
Distribution Patterns in Space and Time
Distinct life characteristics of invasive species may lend to distribution patterns
that are differentiated from those of native species. Due to possibly greater
seed dispersal and resistance to environmental variation, invasive species may
have greater ranges than the native species. However, this effect may be countered
by the observation that invasive species tend to possess clumped distributions.
The density of invasives may also correlate with the time since last disturbance
of the habitat patch. The extended life cycles of forest species, particularly
trees, may delay a forest's response to fragmentation (Haila 1999). Due to the
opportunistic quality and capacity for effective resource competition of many
invasive species, which may be r-selected species, the density of invasives
in recently disturbed patches may be anticipated to be high. Alternatively,
the time required for invasives to establish may compel invasive density to
be low in recently disturbed patches. A study of the invasion of a non-native
honeysuckle, Lonicera maackii, observed a ten-year delay in population
explosion (Deering 1999). If greater abundance of invasives along forest margins
is primarily due to dispersal limitations, the importance of the edge in determining
the distribution of early successional forests may be eliminated as the forest
matures. Wiser et al. (1998) documented the invasion of mountain beech
forests by an invasive herb in a long-term study spanning 23 years. The frequency
of the invasive herb in observation plots increased from 11% to 43% and eventually
reached 57% in 1970, 1985 and 1993, respectively. Over the span of observation,
the subset of possible habitats occupied by the herb increased as dispersal
limitations were overcome through time. While edge-related patterns were observed
to be most prominent along newly created edges within eastern deciduous forests,
edge patterns sometimes remained persistent along edges following 55 years of
succession (Matlack 1994).
Summary
Having reviewed the literature providing precedence for the current study, we
now consider the relation of the current study to the existing body of work
addressing fragmentation and the invasion of non-native species. Much work has
been conducted regarding species loss due to fragmentation and the influence
of edge effects on species composition. Although some general theory regarding
fragmentation exists, overarching trends may linger unacknowledged. Studies
addressing the invasion of non-native species have emerged only relatively recently
(Brothers and Spingarn 1993). Although many studies have attempted to formulate
characteristics that describe either the environments that are preferentially
invaded or the plants that are capable of this invasion, few comprehensive theories
of invasion have been developed (Cox 1999). The microenvironment and resource
availability changes induced by fragmentation often augment the competitive
advantages of invasive species. Thus, a clear link exists between the study
of fragmentation and the study of invasive colonization. Few studies address
this interrelation. The current study attempts to expound upon the relationship
between fragmentation and invasion by non-native species in the context of the
eastern deciduous forest. By doing so, we will be linking two of the most severe
current threats to global biodiversity.
Methods:
Forest Description and History
The study was conducted in eastern-deciduous forests fragment patches in Williamstown,
Berkshire County, Massachusetts (42° 42' 43" N, 74° 12' 22"
W). The study fragments were located in a broad, low elevation valley enclosed
by the Taconic range to the west and Mount Greylock and other adjacent peaks
to the east. Forests in Williamstown have incurred a fate similar to that of
other eastern deciduous forests since European settlement: initial expanses
of relatively virgin forests were cleared for agriculture and resource extraction
until the late 1800's at which point forests reestablished. Development and
agriculture fragment much of the present forests. Indeed, 40% of all eastern
deciduous forests currently exists as small, isolated woodlots (Yahner 1995).
Shortly after the initial colonization of Williamstown in 1753, the Williamstown
forest cover was reported to be 98% (Brooks 1974). By 1800, the town's population
of 2086 had cleared 20,000 acres of land, leaving only 33% of the town's land
forested. A decline in farming beginning in the 1850's allowed fields and pastures
to develop into second growth forests (Brooks 1974). Forest cover expanded to
64% and 66% in 1952 and 1972, respectively (Brooks 1974). Although the population
of Berkshire County expanded by 36% during this time interval, the percent of
agriculture and open land decreased from 21 to 15 percent between 1952 and 1972
(Brooks 1974). Many of the reestablishing forests occur as woodlots that were
logged at least into the 1970's (Saterson 1977). A study of the forest history
of Williamstown revealed a shift in beech (Fagus grandifolia.) and maple
(Acer spp.) abundance from presettlement to the present. While Williamstown's
forests initially consisted of 42% beech and 18% maple, the dominance had shifted
to 18% and 35%, respectively, by 1977, accompanied by an increased abundance
of birch (Betula spp.) and ash (Fraxinus spp.) (Saterson 1977).
Of the approximately 1200ha of land within Williamstown, we estimate that approximately
70% currently exists as forests. This estimate is based upon the area of land
classified as forest in the Massachusetts GIS (geographic information system)
1997 land-use classification. This assessment corresponds to Weatherbee's (1996)
estimate of 70% for the average forest cover of the towns within Berkshire County.
At least 8.9% of the forests within Williamstown currently exist as small, isolated
patches (as estimated with land use classifications, see figure 3). This figure
may be an underestimate, because the tracts considered to be continuous include
some fragmentation by roads and patches only connected by narrow corridors.
The high proportion of continuous forest cover within Williamstown may be attributed
to the steep terrain surrounding the central valley (figure 4). A town ordinance
prevents building at elevations above a prescribed height in order to protect
watershed quality.
Regions of the forest study fragments are progressing through secondary succession,
a redevelopment of the forest following disturbances such as timber harvest,
agricultural clearing, or fire. Eastern deciduous forest succession initiates
with the establishment of seedlings of shade-intolerant, pioneer species including
aspen (Populus spp.) and black cherry (Prunus serotina) (Yahner
1995). This initial establishment is followed by species with intermediate shade
tolerance such as white oak (Quercus alba), northern red oak (Quercus
rubra), yellow birch (Betula alleghaniensis), and red maple (Acer
rubrum). The forest gradually reaches a mature state indicated by an increasing
incidence of shade tolerant species including sugar maple (Acer saccharum)
and American beech (Fagus grandifolia). These species will dominate a
relatively stable community until the reoccurrence of disturbance (Yahner 1995).
A stable, late successional community develops from several decades to a few
hundred years following the initiation of secondary succession (Yahner 1995).
Although some small patches of older forests may exist among the study fragments,
we estimate that the majority of the forest fragments are 75 to 150 years old.
Several of the fragments include clear signs of former agricultural uses, such
as stone walls, stone foundations, and trails.
| Figure 3: The regions of Williamstown's forests that exist as small, isolated fragments (purple), as larger, contiguous tracts (green), and as non-forested land (white). The forest patches were defined using the Massachusetts GIS 1997 landuse classification. Roads may actually fragment some forest regions depicted as continuous. Some continuous regions may be only connected by narrow corridors. | ![]() |
![]() |
Figure 4: The valley in which Williamstown is situated is confined by the Taconic Crest to the west and Mt. Greylock and adjacent peaks to the east. In this digital elevation model depiction of Williamstown, the areas of lighter shading represent higher elevations. The Massachusetts GIS 1997 Williamstown landuse polygons (green) are overlain and the locations of the 10 study fragments are shown (purple). |
Study Fragment Selection
Our study included censusing of ten temperate hardwood forest fragments, ranging
in area from 2 to 126ha. We chose fragments that were approximately circular
in shape, without narrow bottleneck sections or long, narrow projections. We
preferred fragments with only slight inclinations and a southern edge that was
distinct and roughly parallel to a west-east transect. Fragments were isolated
from other forested regions by at least 100m, although exceptions are noted
in the fragment descriptions. While uncultivated agricultural land or pastures
delineated the majority of fragment edges, road corridors bordered several fragments.
Due to the limited number of potential study fragments within a feasible distance
from the center of Williamstown, the fragments deviate from these selection
criteria as noted in the fragment descriptions.
We used graphical information system (ESRI ArcView 3.1 GIS) and remote sensing
(Research Systems ENVI 3.1) technologies to locate the study fragments. The
fragments were initially identified using the Massachusetts GIS 1997 landuse
classification layer in GIS (figure 5). The GIS landuse layer provided areas
and perimeters for the polygons classified as forests. Massachusetts GIS developed
the landuse layer by interpreting 1:25000 aerial photographs taken in 1971 and
1985. The layer has since been updated with aerial photographs from 1990 and
1991/1992 (MassGIS, http://www.state.ma.us/mgis/lu-doc.htm.
We used the GIS roads layer to locate the fragments on a paper 1971 USGS landuse
map, in which the landuse polygons were depicted on a Williamstown and Berlin
quadrangle topo map. We examined the fragments in GIS using digitized aerial
photographs with 5 meter resolution (figure 6). As final criteria for fragment
selection, we used a satellite (SPOT Landsat) image of Williamstown with 20m
resolution in the ENVI image processing program. We combined the three satellite
bands into a color composite image indicating the degree of reflectance of the
land surface. The remote sensing image revealed the extent of forest cover and
heterogeneity (figure 7).
| Figure 5: A map of Williamstown landuse based upon the delineations of the Massachusetts GIS 1997 landuse map showing cropland (lavender), pasture(light magenta), forest (green), wetland (light blue), open land (dark magenta), residential (medium blue), commercial or industrial, (yellow) and water (dark blue). | ![]() |
Figure 6.: A satellite (SPOT Landsat) image of Williamstown with 20m
resolution with the study fragments outlined in
purple. The image is a color composite of the intensity of reflectance reported
by 3 satellite bands. Open lands (and
other high reflectance areas) are magenta and forested (low reflectance) areas
green. A lack of correspondence between
forest edges on the satellite image and the drawn polygons results from both
the lesser resolution of the satellite image and inaccuracies in associating
the satellite image with ground points. The causes of misalignment were confirmed
by checking
one fragment boundary using a GPS (geographic positioning system).
Fragment Descriptions
The study fragments ranged in area from 2 to 126 ha (figure 8). We categorized
fragments as small (2 to 5ha), moderate (5 to 25 ha), and large (25 to 126 ha)
sized in order to facilitate data interpretation. We chose 5 ha as a conservative
threshold above which a fragment is able to sustain more stable, interior forest
types (Levenson et al. 1981 and Ranney et al. 1981). While there were three
of each small and moderately sized fragments, the large size category included
four fragments. All study fragments (except those with unknown history: the
Chenail South, Mt. Hope East, and Hopper fragments) are predominantly primary
forest, meaning that they have not been completely cleared, although the fragments
have been exposed to variable degrees of disturbance (H. Art, personal communication).
Descriptions of each of the study fragments, presented from smallest to largest,
follow. Directions to the fragments are given in Appendix A.

Figure 8: The areas of the ten fragments in hectares. The fragments are
categorized as small (2 to 5 ha), moderate (5 to 25 ha), and large (25 to 126
ha).
Small Fragments (Figure 9)
Airport plot: This oblong fragment is located between agricultural pastures
and land cleared for an airport. A downward slope begins near the 10m boundary
of the edge transect and continues down into a streambed. Beyond the stream,
the slope rises up to level ground upon which the middle transect is located
in a mid-successional forest composed of birches (Betula spp.), ironwood
(Carpinus caroliniana), and maples (Acer spp.) as well as some
aspen (Populus tremuloides). Between the middle and interior transects,
the forest abruptly shifts to being dominated by shrubs and small trees including
hawthorns (Crataegus sp.) and buckthorns (Rhamnus spp.), suggesting the
possibility of recent disturbance. While much of the plot is primary, disturbances
such as woodlot grazing have occurred. Hawthorn (Crataegus sp.) is indicative
of old pastures (H. Art, personal communication). Although some large
trees are present, remnants of stone walls suggested an agricultural history.
Mt. Hope east: This fragment occupies a flat hilltop surrounded by a
residence and grassy fields. The north side of the fragment is dominated by
softwood species. An old boiler is present in the northern section of the fragment.
Due to the narrow width of the fragment and a desire to avoid the effects of
the west-east edge, two plots of the middle and interior transects are located
behind the other three plots.
Chenail south: Cows are able to enter this fragment from their surrounding
pastures. A clearing in the northeast corner of the fragment harbors a small
house that was absent from the land use maps. The middle and interior transects
were positioned somewhat west of the edge transect in order to avoid a steep
slope both to the north of the edge transect and south of the middle and interior
transects.
![]() |
![]() |

Moderate Fragments (Figure 10)
Chenail north: This primary forest fragment is located just north of
the Chenail south fragment and is also surrounded by cow pastures. An intermittent-stream
bed is present near the eastern edge of the transects. The interior plot is
shifted north slightly to avoid a wagon trail. A stone foundation is located
west of the interior transect.
Luce Road: The southern edge of this fragment is confined by a low-traffic
dirt road beyond which is a reservoir. While a portion of the remaining boundary
borders a cornfield, fallow fields surround the rest. A decrepit, large-mesh
wire fence spans the southern edge. The elevation of the fragment drops sharply
into a valley beyond the interior transect. Although most of the fragment is
primary, the northern portion was logged in the Spring of 1998 (H. Art, personal
communication). Some areas of the fragment include coniferous vegetation.
A number of down trees in the interior transect may have influenced plant composition
is some plots.
Mt. Hope west: Portions of this predominantly primary fragment have been
used for woodlot grazing (H. Art, personal communication). An old building
is located at the western edge of this fragment, which is surrounded by open
fields. The middle transect was shifted west to avoid a clearing associated
with another buildings. Wagon paths traverse the fragment, although none were
in the study transects. The middle transect is located on a moderate to steep
downward slope. The interior transect is at the base of this slope. A large
section of relatively narrow forest extends west-east beyond the region containing
the transects.
![]() |
![]() |

Large Fragments (Figure 11)
Hopper Road: While residences delineate the western and north edges of
this fragment, open fields border the remainder. The southeast corner of the
fragment is connected to the large, contiguous forest at the base of Mount Greylock
by a narrow swath of vegetation. However, the vegetation appears too sparse
and narrow to affect fragment dynamics by serving as a corridor for the movement
of animals. Two of the edge plots did not run along the same west-east parallel
as the other three plots due to a non-linear edge. A wide-mesh wire fence spans
the eastern portion of the edge transect. A stream runs west-east through the
fragment beyond the interior transect.
Sloan Road: Open fields and residences border the fragment, excepting
the northern edge, which is fragmented by a road. The large fragment size and
absence of visible disturbances may be attributed to its being managed by a
local land trust. As such, there was a trail in its northern region. The northern
region has experienced past disturbance, likely from woodlot grazing (H. Art,
personal communication).
Greylock Highschool: While the fragment is mainly primary forest, woodlot
grazing occurred in an area referred to as the east knob (H. Art, personal
communication). Roads, fields, and the high school at the southeastern edge
delineate the fragment margins. As this fragment is also managed by a land trust,
a trail runs along the fragment's edge. A river flows west-east just south of
the interior transect. Two of the interior transect plots were shifted somewhat
westward to avoid a trail.
Deer Ridge: Fallow agricultural fields confine the southern and western
edges of this mainly primary fragment, while residences delineate the north
and eastern edges. An old road running north-south marks the center of the plot.
The transects are located to the west of this road. The land generally slopes
downward from the road westward. Some other signs of prior human disturbance,
such as stone walls are visible. While the southern section of the fragment
is owned by the state, the northern section is part of the Mt. Hope Farm property.
The edge transect does not run precisely west-east, but is actually oriented
north-west to south-east. A substantial river flows slightly further into the
fragment beyond the edge plot. The middle and interior transects are oriented
approximately west-east; due to the large size of the fragment, We did not recognize
a need for parallel orientation with the edge plot. The middle and interior
plots are located at a higher elevation that the edge plot and slope marginally
downward to the west.
![]() |
![]() |
![]() |
![]() |
Figure 11: Landsat TM 30m resolution satellite images of the four large
sized fragments. Arranged left to right in order of increasing fragment area,
the fragments are Hopper Road, Sloan Road, Greylock, and Deer Ridge.
Experimental Design
We censused woody vegetation along three transects within each of the ten study
fragments. The outer edges of the three transects were located at the edge of
the fragment, the center of the fragment, and midway between. We located the
edge transect along a relatively linear edge section of at least 50m and as
near to the midpoint of the fragment's southern exposure as possible. The southern
edge was chosen to maximize edge effects. Southern edges may incur enhanced
edge effects due to their greater duration of sun exposure (Palik and Murphy
1990). Middle and interior transects were oriented parallel to and directly
behind the edge transect (figure 12). We assessed the distance of the north-south
axis of each fragment using the measuring tool in ArcView GIS. Areas at the
northern edge that were significantly narrower that the remainder of the fragments
were excluded from the distance measurements. Where noted in the above fragment
descriptions, we positioned the middle and interior transects at distances deviating
from their measured intended location in order to avoid extreme disturbances
(such as old wagon trails) that were uncharacteristic of the fragment.
![]() |
Figure 12: A map of the Hopper fragment showing the experimental design. In each of the 10 study fragments, a transect was located along the southern edge, at the center of the fragment, and midway between. The three transects were aligned parallel to each other. The middle and center of each plot was located using a GIS measuring tool. |
![]() |
The west-east transect axis consisted of ten 5m contiguous plots. An outer and inner row of plots each extending 5 m were located along this axis (figure 13). We eventually combined the ten 5mx5m plots along the outer and inner transect into two rows of 10mX5m plots by combining adjoining plots along the west-east axis. While data collection was facilitated by the 5mX5m plot size, combining the data reduced the effects of environmental heterogeneity. |
Figure 13: Each of the three transects within a
fragment consisted of both an outer and an inner
row of ten 5mx5m plots.
We identified to species all woody shrubs that were taller that .25m and trees
that we taller than waist height (approximately 1.0 m). Species were distinguished
as trees or shrubs by growth habit. Species that characteristically have a single
dominant trunk and lack low branches were considered to be trees. We classified
trees as either seedlings or mature trees: we considered individuals with diameters
(dbh) less that (12 cm) to be seedlings. We counted consolidated clumps of stems
as single shrub individuals. We conducted vegetation censusing in a random plot
ordering from late September through mid November. We censused approximately
half of the fragments following the occurrence of substantial leaf loss.
Analysis
We defined tree and shrub species as either native or non-native according to
Weatherbee (1996). For each plot, we grouped tree and shrub species to determine
the species richness, total number of individuals, percent invasive species
(number invasive species/ total number of species), and percent invasive individuals
(number invasive individuals/ total number individuals). As no significant differences
were observed between the outer and inner rows of the middle and interior transects,
we combined the outer and inner row data for much of our analysis. We calculated
diversity indices as detailed below.
Our statistical analysis accounted for the non-independent sampling associated
with the similar environmental conditions of the 10 contiguous plots within
each transect.
Non-independence is accommodated by using the transect as a clustering variable
for the plots. We used the survey regression functions of the Stata 6.0 (Stata
Corporation) statistics and data analysis program. The problem of non-independence
of plots can generally be accommodated using regression terms for the fragment,
region, and the cross of the fragment and region. However, as the regression
matrix columns corresponding to the area of the fragments (which we wished to
use as a predictor variable) were not linearly independent from those of the
fragment dummy variables, we instead used the survey regression functions to
predict on the plot level. Survey regressions account for sampling clusters
of non-independent entities within a population (such as surveying blocks of
houses within a town). The model residuals were checked for an approximately
linear distribution in order to meet the assumptions of normally distributed
error with mean zero for linear regressions. All percentages were square-root
transformed in order to avoid the lack of linearity of percentage errors.
The two forms of analysis presented consider fragment area to be either a continuous
or discrete variable. It is infeasible for either to illustrate the clustered
design graphically. Instead, when fragment area was considered to be a continuous
variable, regression graphs show parameters in relation to fragment area as
the independent variable and each data point in the figure is the mean of the
ten plots within each transect. Although only showing the mean results in some
loss of information, it avoids making incorrect visual conclusions due to the
clustering of plots. The linear trend lines depicted are only approximations
as they are based on the transect means. We present the regression table for
the survey linear regression model, showing the significance level and r
-value
for the overall model. We tabulate the coefficient, standard error, and p-value
for each effect in the model. The coefficient, derived from the regression equation,
assesses the contribution of each effect in determining the value of the response
variable. We also present whether the slope of the trendline for each independent
relationship is significantly different from zero (as calculated with a survey
regression).
In the graphs showing fragment area or region as a discrete variable, data are
means of the observations for each plot within each transect. The standard errors
shown are smaller than actual errors because they fail to account for non-independence
of plots. Significant pairwise differences were calculated using a survey regression.
Some cases are not differentiated pairwise despite the appearance of significant
differences based on error bars due to the portrayal of error without accounting
for non-independence.
Diversity and evenness indices were calculated on the transect level due to
the relatively small size of the plots. Thus, the diversity and evenness indices
did not involve a clustered experimental design. The data were analyzed using
linear regressions and ANOVAS in JMP 3.2.6 (SAS Institute) or Stata 6.0.
Species richness, evenness, and diversity
Although most ecologists agree that it is desirable to invoke the notion of
species diversity to distinguish between communities with equal species
richness but different community compositions, uncertainty arises in methods
for assessing species diversity (Hurlbert 1971). Many indices of diversity have
been developed to gauge community heterogeneity, most of which are wrought with
mathematically undesirable qualities and are difficult to interpret (Peet 1974).
Hurlbert (1971) has gone so far as to claim that species diversity has become
a "non-concept" due to its various and disparate definitions. Species
diversity is generally held to be composed of two components: the richness of
species and the evenness of species abundances (Peet 1975). In our assessment
of species diversity, we use Hill's diversity numbers which are generally more
interpretable than the commonly used Simpson and Shannon (also referred to as
Shannon-Weaver or Shannon-Wiener) indices from which they are derived (Ludwig
and Reynolds 1988). We use the unbiased form of Simpson's index, which ranges
from 0 to 1 and gives the probability that two species drawn at random from
a population belong to the same species. If ni is the number of individuals
of the ith species, n is the total number of individuals and S is the total
number of species in the sample, then Simpson's unbiased estimator (Simpson
1949) assumes the form:
![]() |
Shannon's index, which is based on information theory, indicates the average
"uncertainty" in predicting the species to which a randomly chosen
individual belongs. Shannon's index is as follows (Shannon and Weaver 1949):
![]() |
Hill's diversity numbers assess the "effective number of species" in a sample, which is the degree to which proportional abundances are distributed among species (Hill 1973). The diversity numbers are in units of number of species, where N1 and N2 indicate the number of abundant and very abundant species, respectively. As diversity decreases, both diversity numbers N1 and N2 approach 1 (Hill 1973):
![]() |
where
= Shannon's Index and
= Simpson's Index
Some ecologists avoiding compounding species richness and evenness in diversity
indices in favor of analyzing the two parameters independently (Ludwig and Reynolds
1988). Although we provide analysis of the diversity numbers N1 and N2, treating
species diversity and evenness independently is our primarily approach employed.
We use the modified Hill's ratio to assess species evenness. The ratio, which
is the fraction of very abundant to abundant species, approaches zero as the
dominance of a single species increases (Alatalo 1981). The modified Hill's
ratio (E) has the advantage of being independent of species richness of the
sample, unlike the commonly applied J' of Pielou (Peet 1974):
![]() |
The N1 and N2 diversity numbers as well as the modified Hill's ratio were calculated
by considering the species in the entire transect. This eliminated the stochastic
effects of the small sizes of plots.
Results:
| 27.8% of the 61 tree and shrub species present in the study fragments were invasive (Appendix B). Our observations included 32 native tree species, 12 native shrub species, 2 non-native tree species, and 15 non-native shrub species (figure 14). | ![]() |
| Figure 14: The combined proportion of native and non-native
tree and shrub species censused in all the study fragments. |
Edge Effects
Fragment edges have significantly more invasive plants than the interior. While,
on average, 40% of the individual plants sampled in the edge transect are invasive,
middle and interior regions have fewer invasives (19% and 14%, respectively).
The percent of invasive species also declines with mean values of 36%, 16%,
and 19%, respectively (Figure 15). While both the percent invasive species and
individuals significantly differentiated the edge from the middle and interior
regions, the middle and interior regions were not significantly different (Table
1).
![]() |
Figure 15: Both the percent of invasive individuals and invasive species decline significantly from the edge to the interior of the fragments. Data are mean of the values for the 10 fragments. The percent invasive individuals and percent invasive species of the edge region are significantly differentiated from both the middle and interior regions. |
Table 1: A survey linear regression model (p=.0254, r2=.1396) showing
that percent
of invasive individuals and invasive species decline significantly from the
edge to the
interior of the fragments.

The influence of edge effects was observed to decline beyond the outer row
(0 to 5m) of the edge transect to the inner row (5 to 10 m) (Figure 16). The
species richness and number of individuals decline significantly beyond 5m into
the fragment (Table 2). The degree of differentiation between the outer and
inner rows was independent of size class. The decline in percent invasive species
and individuals between the outer and inner rows was non-significant but suggestive.
The effect of area was removed from the model for each parameter and was significant
in all cases (Table 2). When treating the trendlines independently for each
position (outer or inner) and parameter, each response was significantly correlated
with area, excepting the trends for species richness and number individuals
(Figure 16). The outer and inner rows of the middle and interior transects did
not posses differentiated species richness, number individuals, percent invasive
species, or percent invasive individuals.
![]() |
![]() |
![]() |
![]() |
Figure 16: The (A) species richness, (B) number individuals, (C) percent
invasive species, and (D) percent invasive individuals for the outer (0-5m)
(green) and inner (5-10m) (purple) rows of the edge region. Data are means of
the ten 5x10m2 plots in the 10 study fragments. Although the outer and inner
rows of the middle and interior transects were not significantly differentiated
(data not shown), the outer row parameters are significantly higher than those
of the inner row of the edge transect (Table 2). When treating each trendline
individually, species richness, number individuals, percent invasive species,
and percent invasive individuals were significantly correlated with area excepting
the trends for species richness and total number individuals for the outer row.
The outer and inner rows are not significantly different from each other unless
the effect of area is removed (Table 2).
| Table 2: A survey linear regression model (p=.0008,
(r*r)=.2959) examining the significant differences in community parameter values between the outer and inner rows. |
![]() |
Area Effects
Species richness, the number of individuals, and percent invasive species and
individuals decreased with larger fragment sizes and from the edge to the interior
of the fragments (Figure 17). Regression models incorporating fragment area
and region were highly significant in their ability to account for trends in
species richness, percent invasive species, and percent invasive individuals.
The regression model for number individuals was suggestive, while non-significant
(Table 3). Despite the significance of the overall models, the degree of significance
of the individual terms varies. While increasing area was not significantly
correlated with decreases in the number of individuals (p=.152) in the regression
model, this correlation was significant for species richness (p=.037), percent
invasive species (p=.000), and percent invasive individuals (p=.000). While
the trend of decreasing community parameter values with increasing fragment
area was significantly differentiated between the edge and both the middle and
interior transects in all cases, the trend was not significantly differentiated
between the middle and interior transects for any parameter.
![]() |
![]() |
![]() |
![]() |

Larger fragments appear to have decreased susceptibility to invasive species
at the edge region, as a significant correlation exists between increases in
area and increases in species richness (p=.042), number individuals (p=.048),
percent invasive species (p=.007), and percent invasive individuals (p=.013)
(Table 4). The distances from the fragment edge to the middle and interior transects
are proportional to the size of the fragment. Because of this compounding of
distance to the fragment edge and fragment area for the middle and interior
regions, the observation of the effects of fragmentation in the edge region
is notable. Larger forest fragments had significantly greater area to perimeter
ratios (figure 18).
Table 4: The effect of area on edge parameters in a survey linear
regression model. The effect of area is most pronounced at the edge
region. Although the distance into the fragment of the middle and
interior transects vary with fragment size, the trends for the universally
located edge fragment lend strength to our conclusions regarding the
effect of fragment size on the four considered parameters.
![]() |
![]() |
Area is significantly correlated with species richness when considering native
and invasive species independently . Regression analysis significant differentiates
the trends for native and invasive species and the trend for the edge region
from that of the middle and interior regions. (Table 5)When considering the
correlation with area for each combination of vegetation type (native or invasive)
and region independently, the species richness of invasive edge and middle species
decreased significantly with increasing fragment area. The converse trend was
observed for the native community in the interior region; the species richness
of the interior native community increased significantly with increasing fragment
area (p=.022). This trend is also perceptible, though non-significant, for the
edge and middle regions. The abundances of native and invasive species are significantly
differentiated (p=.007) when considered across all fragment regions, but fragment
area is not a significant factor in the regression model (Figure 20). Only the
number individuals of the edge and middle regions are significantly differentiated
in the regression model (p=.019) (Table 6)
Table 5: A survey linear regression model below that uses fragment area,
region, and
vegetation type (native or invasive) to predict species richness.
Table 6: A survey linear regression model below that uses fragment area,
region, and vegetation type (native or invasive) to predict number individuals.

When considering the trends independently for each type and region combination
as with species richness, the relationship between number individuals and area
was significant for invasive edge and middle species. Corresponding to the trend
observed for native, interior species richness, the number of native individuals
in the edge region increased significantly (p=.000) with increasing fragment
area.
Neither the species richness nor abundance of native species is significantly
correlated with fragment area or fragment region. However, when invasive species
are considered independently, the effect of fragment area and region of invasive
species richness and abundance is accentuated beyond that observed in the general
model (Table 7). Increasing fragment area is observed to be a significant deterrent
of species invasion, as increasing area is a significant effect for reducing
both the species richness (p=.000) and number individuals (p=.016) of invasive
species. While the invasive species richness of the edge region was significantly
differentiated from both the middle and interior regions, the number of invasive
edge individuals was only significantly differentiated from the middle region
(Table 7).
Table 7: A survey linear regression analysis of the invasive species
exclusively further clarifies the trends observed in figures 19 and 20. As the
species richness and number of native species is observed to be largely unaffected
by area, the significance of the correlation between species richness and abundance
of invasive species and fragment area is greater than that of the combined model.
The survey linear regression models relating native species richness and abundance
with area and fragment region are not significant.
Species Diversity and Evenness
Fragment size category did not significantly influence overall diversity and
evenness, although the transect did have a significant effect on N1 (p=.0291),
N2 (p=.0499), and the MHR (p=.0534) (Figure 21). The diversity and evenness
indices tended to increase from the interior to the edge of the fragments. While
pairwise comparisons of N1, N2, and the MHR were significantly (or highly suggestively)
differentiated the edge transect, the middle and interior regions were not significantly
differentiated (Table 8). The trend of greater diversity and evenness indices
values in the edge transect is most accentuated in the small fragments (Figure
22). Considering only the small fragments, the transect is a significant effect
for N1 (p=.0374), N2 (p=.0163), and the MHR (p=.0229). The edge transect was
significantly differentiated, according to pairwise comparisons, from the middle
and interior transects. Transect position did not have a significant effect
when the moderate and large sized plots were considered independently (Figure
22).
![]() |
![]() |
| Figure 21: The species diversity (Hill's diversity numbers N1 and
N2) and evenness (Modified Hill's ratio) of the fragments considering transect
and size category. Fragment regions with different letters within each size
class and diversity or evenness measure are significantly different at p=.05.
While fragment size class does not significantly influence overall diversity
and evenness, the transect does have a substantial effect on N1 (p=.0291),
N2 (p=.0499), and the Modified Hill's Ratio (p=.0534) (Pairwise comparisons
compiled in table 8). The parameters are shown as means (n=3,4) with one
standard error. |
![]() |
Table 8: The p-values for Fisher's LSD pairwise comparisons between transect
for the diversity and
evenness indices.
| Transect |
N1
|
N2
|
Modified Hill's Ratio
|
| Edge- middle |
0.048
|
0.058
|
0.063
|
| Edge- interior |
0.001
|
0.02
|
0.021
|
| Middle-interior |
0.449
|
0.607
|
0.604
|
Figure 22: The trend of greater diversity and evenness indices values
in the edge transects
is most accentuated in the small fragments. Considering only the small fragments,
the fragment
region is a significant effect for N1 (p=.0374), N2 (p=.0163), and the Modified
Hill's Ratio
(p=.0229). Different letters indicate cases that are significantly different
(p<=.05). The transect
did not have a significant effect when the moderate and large sized plots were
considered
independently. Data are means (n=3,4) with one standard error.
No significant relationship between the diversity (N1 and N2) and evenness indices
(MHR) and fragment area (as a continuous variable) exists when considering native
and invasive species together. However, regression models incorporating the
effects of area and fragment region were significant predictors of the diversity
and evenness indices for the invasive species community (Figure 23, Table 9).
Area was significantly inversely correlated with N1, N2, and MHR for non-native
species in the regression models. The models significantly differentiated the
higher indices for the edge region from those of the middle regions for each
diversity and evenness index, while the edge and interior regions were also
significantly differentiated for N1. The regression models for native species,
granting consideration to area and fragment region, were not significant. When
considering the trends for each combination of fragment region and vegetation
type (native or invasive) individually, significant declines in N1, N2 and the
Modified Hill's Ratio are observed with increasing fragment area for the invasive
species of some fragment regions. The N1 diversity number decreases with increasing
area for the non-native species of the edge (p=.0032) and middle transects (p=.0649).
A similar trend is observed for N2 for the non-native species of the edge (p=.0081)
and interior (p=.0546) transects. A significant (p=.0004) decrease in the Modified
Hill's ratio occurs with increasing fragment area for non-native species of
the edge transect. There were no significant trends when examining the effects
of fragment area on the diversity and evenness indices for native species in
each region independently (Figure 23).
![]() |
Figure 23: Hill's diversity numbers (1) N1 and (2)
N2 and (3) the Modified Hill's ratio in relation to fragment area for both
(a) non-native and (b) native species in the edge (red), middle (blue),
and interior (green) regions. There were no significant relationships between
the diversity and evenness indices and fragment area or region when considering
native and invasive species together. A survey linear regression model showed
significant effects of fragment area and region on the diversity and evenness
of the invasive species community (Table 9). There were no significant trends
for the native diversity and evenness indices. A linear regression line
is shown for either suggestive or significant relationships. When considering
the trendlines independently, the N1 diversity number decreases with increasing
area for the non-native species of the edge (p=.0032) and middle transects
(p=.0649). A similar trend is observed for N2 for the non-native species
of the edge (p=.0081) and middle (p=.0546) transects. A significant (p=.0004)
decrease in the Modified Hill's ration occurs with increasing fragment area
for non-native species of the edge transect. The trend for the middle transect
is non-significant. The regressions are not significantly different between
fragment region for any index, although fragment region is a significant
|
![]() |
|
![]() |
|
![]() |
|
![]() |
|
![]() |
Table 9: A survey linear regression model that considers the
influence of fragment area and region on the diversity and evenness
indices of the non-native community.

Dominance and Distribution of Invasive Shrubs
Shrub species richness and number of individual shrubs declined from the edge
to the interior of the fragments (Figure 24). While the number of trees tended
to increase in a converse (but non-significant) manner from the fragment edge
to interior, there was no clear trend for tree species richness between the
fragment regions (Figure 24, Table 10).
![]() |
![]() |
Figure 24: The (A) species richness and (B) number of individuals of
shrubs and trees for the edge, middle,
and interior regions of the forest fragments. Data are means of the ten plots
in each of the ten fragments with
one standard error. Transect regions within each vegetation type category with
different letters are significantly
different at p=.05. Fragment region significantly affected species richness
and number individuals, while
significantly differentiating trees and shrubs (Table 10).
Table 10: A survey linear regression model that uses fragment region
and
vegetation type (tree or shrub) to predict species richness and number individuals.
Native shrubs decline beyond the edge transect to remain stable in the middle
and interior of the fragment. However, invasive shrubs continue their decline
beyond the middle region to an abundance approximately equal to that of native
shrubs in the interior region (Figure 25). These trends apply to both species
richness and number of shrubs. In survey linear regression models considering
the species richness and abundance trends for the three vegetation types together,
the edge region was significantly differentiated from the middle and interior
regions for both species richness and abundance (Table 11).
![]() |
![]() |
Figure 25: The (A) species richness and (B) number of individuals of
invasive and native shrubs and native
trees for the edge, middle, and interior forest fragment regions. Data are means
of the ten plots in each of
the ten fragments with one standard error. Fragment regions within each vegetation
type with different letters
are significantly different at p=.05. A survey linear regression model considers
whether the edge, middle,
and interior regions had significantly different species richness and abundance
for each vegetation type (Table 11).
Table 11: A survey linear regression model that examines the contributions
of fragment region and vegetation type for predicting the species richness
and number individuals.
While more species of invasive shrubs are present in more fragmented areas,
the species richness of native trees and shrubs are not significantly influenced
by fragment area (Figure 26). In a survey linear regression model incorporating
vegetation type, area, and fragment region, the decrease in species richness
with increasing fragments area was significantly differentiated from the edge
to the middle and interior regions (Table 12). When considering the trendlines
for each vegetation type and fragment region combination independently, the
species richness of invasive shrubs decreased significantly with increasing
area for all regions (Figure 26). Although the individual trendlines were not
significantly differentiated between the regions, in a regression model considering
exclusively invasive shrubs, increasing area was significantly correlated with
decreasing species richness (p=.000) in a manner that significantly differentiated
the edge from the middle and interior regions (Table 13). The individual trendlines
and regression models for native shrubs and trees were not significant.
![]() |
![]() |
![]() |
Figure 26: The species richness of (A) invasive shrubs, (B) native shrubs, and (C) native trees for the edge (red), middle (blue), and interior (green) forest fragment regions. Data points are means of the ten plots in each of the ten fragments. A survey linear regression was used to predict species richness incorporating terms for vegetation type, area, and fragment region (table 12). When considering the trendlines independently, the slope of the relationship with fragment area is significantly differentiated from zero for invasive shrubs in all regions. The individual trendlines for native shrubs and trees were not significant |

![]() |
shrubs in the following survey linear regression model. The regressions for the species richness of native shrubs and native trees alone were not significant. |
While more invasive shrub individuals are present in more fragmented areas,
the species richness of native trees and shrubs do not correlate with fragment
area (Figure 27). The number individuals was significantly greater in the middle
than in the interior regions and was significantly differentiated between vegetation
types in a survey linear regression model incorporating vegetation type, area,
and fragment region (Table 14). Fragment area was not a significant effect in
the model. When considering the trendlines for each vegetation type and fragment
region combination independently, the number individuals of invasive shrubs
decreased significantly with increasing area for the edge and interior regions
(Figure 27). Although the individuals trendlines were not significantly differentiated
between the regions, in a regression model considering exclusively invasive
shrubs, increasing area exerted a significant influence in decreasing the number
individuals (p=.015) that was significantly differentiated between the edge
and interior regions (Table 15). The individual trendlines and regression models
for native shrubs and trees were not significant.
![]() |
![]() |
![]() |
Figure 27: The number individuals of (A) invasive shrubs, (B) native shrubs, and (C) native trees for the edge (red), middle (blue), and interior (green) forest fragment regions. Data points are means of the ten plots in each of the ten fragments. A survey linear regression was used to predict number individuals incorporating terms for vegetation type, area, and fragment region (table 12). When considering the trendlines independently, the slope of the relationship with fragment area is significantly differentiated from zero for invasive shrubs the edge and interior regions. The individual trendlines for native shrubs and trees were not significant. |
Table 14: A survey linear regression model was highly significant (p=.0000)
and accounted for 20.7% of the variance in the data when incorporating
terms for vegetation type, area, and fragment region.

Table 15: Most of the observed trends for number individuals observed
in figure 27 may be attributed to correlations between the number individuals
of invasive shrubs and fragment area. Area and fragment region were used to
predict the number individuals of invasive shrubs is the following survey linear
regression model. The regression for native shrubs was suggestive but not
significant overall (p=.0874), although it did distinguish the edge region from
the middle (p=.010) and the interior (p=.014) regions. The regression fornative
trees was not significant.

Three dominant invasive shrubs are prominent in the fragments' woody species
community. When the abundances of barberry (Berberis thunbergii), honeysuckle
(Lonicera spp.), and buckthorn (Rhamnus spp.) are considered together,
they account for 22.3% of all woody individuals sampled across all fragments
and all regions. These three invasive species also represent 43.7% of shrub
individuals and 54.3% of invasive shrub individuals. Figure 28 shows the percentage
of all woody individuals, all shrubs, and invasive shrubs accounted for by the
combined abundances of barberry, honeysuckle, and buckthorn with respect to
fragment region and fragment size. The percentages for all three measures consistently
decline from the fragment edges to interiors, although the percentage of invasive
shrubs is approximately equal for the middle and interior regions (Figure 28a).
All three measures of community importance of these species consistently increase
as fragment size decreases (Figure 28b). The significance and degree of variation
between the fragment sizes and regions for the percent presence of the three
dominant invasive shrubs is summarized in a regression table (Table 16). Although
none of the regression models incorporating fragment size or region are significant
overall, there are some significant differences between individual region and
size terms.

Figure 28: The percent of all woody plants, all shrubs, or invasive shrubs
that the three dominant invasive
shrubs, barberry (Berberis thunbergii), honeysuckle (Lonicera spp.),
and buckthorn (Rhamnus spp.),
account for. The data are shown with respect to (A) fragment region and (B)
fragment size category.
Data are means of the ten plots in each of the ten fragments with one standard
error (not accounting for
the clustered experimental design). Categories within each measure of community
importance with different
letters are significantly different at p=.05.
Table 16: The effects of fragment region and fragment size are considered
independently in the following
survey linear regression analysis that predicts the community importance of
three dominant invasive shrubs.

The percent of woody plants accounted for by the three dominant invasive shrubs
declines with increasing area. This trend is significant for the middle region
and suggestive for the edge and interior regions when each region is considered
independently (Figure 29). When incorporating the effects of area and fragment
region in a regression model, the influence of increasing area on decreasing
the percent of the invasive shrubs is significant (p=.000) in a manner that
significantly differentiates the trend for the edge region from that of the
middle and interiors (Table 17).
Figure 29: The percent of all woody plants accounted for by the following
three dominant invasive
shrubs: barberry (Berberis thunbergii.), honeysuckle (Lonicera spp.),
and buckthorn (Rhamnus spp.)
in the edge (red), middle (blue), and interior (green) regions. Data points
are means of ten plots
within each transect for the ten fragments. The percent invasives of the middle
region considered
independently is significantly inversely correlated with area (p=.038). The
correlations with area
for the percent invasives in the edge and interior regions are suggestive, while
not significant
(p=.057 and p=.114, respectively).
Table 17: A survey linear regression model using fragment area and
region to predict the community importance of the three dominant invasive
shrubs (p=.0001, (r*r) =.2761).

The patterns of fragment invasion are different among the three dominant invasive
species (Figure 30). While barberry has the greatest overall presence, it is
less evenly distributed across fragment sizes and regions than honeysuckle or
buckthorn. While the communities in several regions of variously sized fragments
are composed of nearly 25% barberry, the percentage of honeysuckle generally
remains below 10% while that of buckthorn generally remains below 15%. The fragment
interiors have significantly fewer barberry individuals than the edge regions.
The plant communities of large fragments appear to be highly resistant to invasion
by barberry, as there are very few barberry individuals in any region of the
large fragments. In regression models incorporating the effect of fragment size
and region on the abundances of each of the three invasive shrubs, the models
for honeysuckle and buckthorn were suggestive, while not significant, with p-values
of .288 and .0891, respectively. The edge and middle transects were significantly
differentiated for buckthorn (p=.031). Fragment size and region did significantly
influence the dominance of barberry in the community (Table 18).
As with the percent of community vegetation, fragment size and region were only
significant predictors of the number of invasive shrub individuals for barberry
(p=.0001) (Figure 31). The large and small fragments had significantly different
barberry abundances (p=.000). The models for honeysuckle and buckthorn were
suggestive, but non-significant, with p-values of .230 and .084, respectively.
Although regression models predicting both percent community composition and
number invasive individuals using fragment size, region, and invasive species
as predictor variables, were significant (p=.003 and p=.001, respectively),
the three dominant invasive shrubs were not significantly differentiated pairwise
(Figure 31).
Figure 30: The percent of all woody plants accounted for by one of the following three dominant invasive shrubs: (A) barberry (Berberis thunbergii), (B) honeysuckle (Lonicera spp.), and (C) buckthorn (Rhamnus spp.). The data are shown with respect to both fragment region and fragment size category. Data are means of the ten plots in each of the ten fragments with one standard error. Fragment regions within a fragment size category with different letters are significantly different at p=.05. In survey linear regression models incorporating the effect of fragment size and region on the abundances of each of the three invasive shrubs, the models for honeysuckle and buckthorn were suggestive, while not significant, with p-values of .288 and .0891, respectively. The edge and middle transects were significantly differentiated for buckthorn (p=.031). Fragment size and region did significantly influence the dominance of barberry in the community (Table 18). Although a regression model predicting percent community composition using fragment size, region, and invasive species as predictor variables, was significant (p=.003), the three dominant invasive shrubs were not significantly differentiated pairwise.
Table 18: A survey linear regression model examining the contributions
of fragment
region and size to determining the percent of woody plants accounted for by
barberry
(p=.002, (r*r)=.2422).
Figure 31: The absolute number of (A) barberry (Berberis thunbergii),
(B) honeysuckle (Lonicera spp.), and (C) buckthorn (Rhamnus spp.).
The data are shown with respect to both fragment region and fragment size category.
Data are means of the ten plots in each of the ten fragments with one standard
error. Fragment regions within a fragment size category with different letters
are significantly different at p=.05. As with the percent of community vegetation,
fragment size and region were only significant predictors of the number of invasive
shrub individuals for barberry (p=.0001). The large and small fragments had
significantly different barberry abundances (p=.000). The models for honeysuckle
and buckthorn were suggestive, but non-significant, with p-values of .230 and
.084, respectively. Although a regression model predicting the number invasive
individuals using fragment size, region, and invasive species as predictor variables,
was significant (p=.001), the three dominant invasive shrubs were not significantly
differentiated pairwise.
Discussion:
Invasive woody species are prominent in the vegetation of Williamstown, MA.
Invasive species accounted for 27.8 percent of the woody species observed in
this study. This estimate of woody invasive species corresponds to that of Weatherbee
(1996) who placed the figure at 27 percent in 1995 for the entirety of flora
in Berkshire County. Weatherbee's (1996) estimate represented a ten percentage
point increase over the 17 percent reported in 1922 for the region. While she
noted the addition of 35 native species in the interim, 107 non-native species
were introduced.
Edge Associated Gradients of Invasion
The introduction and expansion of invasive species in Williamstown's remnant
woodlots are severely influencing their forest composition, most extensively
in small fragments and at the edge regions. The 40 percent of edge individuals
or 36 percent of edge species in the study fragments that are non-native are
a testament to the severity of the threat to the forest ecosystems associated
with fragmentation. These numbers may be greater than those of some other studies
because we exclusively considered the southern edges, where there may be a greater
presence of invasive species. Brothers and Spingarn (1993), who studied all
the vegetation in seven patches of Southern Indiana old-growth forest, attributed
the greater non-native presence along southern and western edges to microclimate
influences such as increased exposure to sunlight. While they observed a mean
of 11.1 non-native species in edge transects, the number of non-native species
fell to 1.5 at 8m into the fragment. While 86% of edge transects were occupied
by non-native species, non-native species were present in only 22% of the transects
located 8m into the fragments. The dynamics of the fragments examined in this
study may be differentiated from those observed by Brothers and Spingarn (1993)
as bird-dispersed invasive shrubs, with their effective dispersal capabilities
and substantial abundance, were largely absent from their study.
The decline in invasives in the middle and interior fragment regions suggests
that edge effects decline towards the centers of the fragments. While the percentage
of invasive species and individuals in the middle transect are approximately
half the values for the edge transect, the community importance of the invasive
species does not decline significantly between the middle and the interior region.
The trend of decreasing species richness and diversity (as assessed with the
Shannon index) with increasing distance from the edge of the fragment was also
observed by Meiners and Pickett (1999) in a study of all the vegetation along
a forest-field gradient in an eastern deciduous forest.
A decline in total species richness, number individuals, and percent invasive
species and individuals initiated between the outer (0-5m) and inner (5-10m)
rows of the edge transect. The decline in species richness and number individuals
was more pronounced than the decline in invasive species presence. The experimental
design of this study does not allow determination of whether the decline in
species richness occurs as an abrupt transition beyond the edge region (considered
to be 10m in this study) or as a more gradual transition. These declines in
the magnitude of edge effects correspond to observed changes in microclimate
parameters (Brothers and Spingarn 1993). In relation to the forest edge, the
microclimate 2m into the forest had light levels reduced to 1% of edge levels
and air and soil temperatures were reduced, while relative humidity increased
(Brothers and Spingarn 1993).
Increased Susceptibility to Invasion in Smaller
Fragments
The declines in total species richness, number individuals, and percent invasive
species and individuals with increasing fragment area indicate that resistance
to invasion by non-native species appeared to be greater in larger fragments.
The decline in percent invasive species and individuals was substantial. While
a lesser, but significant, trend was observed for overall species richness,
the trend was not significant for the number individuals.
Most of the increased resistance to invasion of larger fragments occurred in
the edge region. The middle and interior transects are located at distances
from the edge of each fragment that are proportional to the size of each fragment
(see methods section). Thus, it could be feasible that the observed decrease
in species richness, number individuals, and percent invasive species and individuals
with increasing fragment area for the middle and interior transects may simply
be a function of measuring these parameters at greater distances from the edge
in larger fragments. Indeed, our experimental design does not allow me to reject
the hypothesis that the effect of fragment area in the middle and interior regions
is simply a function of sampling method. However, because the location of the
edge region does not depend on fragment area, the trend of decreasing species
richness, number individuals, and percent invasive species and individuals with
increasing fragment area for the edge region can only be attributed to increased
susceptibility to invasion in fragments of smaller area.
A hypothesis for the trends observed for species richness, number individuals,
and percent invasive species and individuals is that larger fragments have greater
seed sources for native species. A greater abundance of native seeds may allow
for more native species establishment even in the presence of a constant input
of invasive seeds. Fragments with larger areas may contain more native species
according to the species-area relationship. Greater resistance to disturbance
(ie. lesser tree falls) in the larger fragments may also increase their resistance
to invasion. The lesser effect of fragment size in the interior of the fragments
lends hope that interior types are able to persevere relatively unaltered in
fairly small fragments.
My observation of a linear relationship between community richness or diversity
parameters and fragment area is contrary to some previous research. Several
other studies have shown a unimodal relationship between fragment area and parameters
such as species richness, number individuals, and diversity (Levenson 1981,
Ranney et al. 1981). These studies suggest that a threshold area exists
above which a forest fragment is able to sustain interior forest conditions.
The threshold area for temperate hardwood forests was estimated to be approximately
2 to 3 ha (Levenson 1981, Ranney et al. 1981). Below this threshold,
the species richness of a forest plot should increase with increasing fragment
area due to the greater area of edge, which adds considerable heterogeneity.
Above the threshold, the species richness of the plots is expected to remain
constant or decrease with increasing fragment area. Observed decreases in species
richness may be attributed to a lesser proportional area edge, greater community
stability afforded by greater area, or lesser edge effects (Levenson 1981).
The resolution of the data in this study does not allow determination of the
threshold area concept, as only three fragments with areas of less than 5 ha
were examined. Despite being unable to assess whether a threshold exists within
small areas, this study shows no indication of a distinct threshold at areas
greater that 5 ha. Within the trends of decreasing species richness, number
individuals, and percent invasive species and individuals, the data do not reveal
any discontinuities that would suggest that a threshold area for supporting
interior forest types. As the data only represent three variably separated regions
in each transect, the discontinuity may occur in a fragment region not censused
by the edge, middle, or interior transects. This lack of a threshold area suggests
that the transition to interior forest types is gradual rather than abrupt.
Additionally, interior and edge forest types may be differentially distinguished
in different fragments due to peculiarities of microclimate or vegetation.
The decreasing species richness and number individuals with increasing fragment
area are primarily due to the exclusion of invasive species. To determine the
factors accounting for the decreases in species richness and number individuals,
we considered the species richness and number individuals for native and invasive
species independently. The trends are clearly different for native and non-native
species. While the species richness of invasive species decreases with increasing
fragment area, the species richness of native species increases with increasing
fragment area. The increase in native species with increasing fragment area
is rather slight and only significant for the interior transect. An analogous
trend is observed for the number of native and invasive individuals. The increases
in native species presence in the interior region of larger fragments suggest
that either the native species may be displaced by the invasion of non-native
species or that the greater stability of larger communities allows for a richer
forest with a greater number of species and individuals. Although we did not
analyze the size of individuals, the forest successional stage and time since
disturbance may influence the species richness and number of individuals.
Given the small magnitude of the decrease in native species richness and abundance
in the interiors of small fragments, our results suggest that invasive species
are primarily invading empty community niches rather than displacing native
species. These empty community niches result from changes in forest structure
along edges induced by fragmentation. The propagation of invasive species to
canopy gaps in the forest interior may displace native shrubs and suppress native
tree seedlings, as a canopy gap is less likely to represent an empty community
niche than is an introduced forest edge. Whereas the interior forest may be
considered to be composed of a single canopy community and a single understory
community, cross sectioning of the forest by fragmentation introduces additional
potential habitat. The increased access to the understory shrub layer associated
with fragmentation provides ideal nesting sites for birds that serve as dispersal
vectors of berried invasive seeds (Matlack and Livaitas 1999). The forest edges
afford increased access for other seed dispersing species including mammals
(Cox 1999). In addition to increased seed input of invasives at the forest edge,
many invasive species are r-selected and thus well suited to colonize a newly
introduced edge environment with their abundant seed production, wide seed dispersal,
ability to germinate in diverse environments, and rapid growth. The characteristics
of non-native species that allow for success in the edge environments include
a preference for high light environments and an ability to withstand disturbance.
The success of invasive species in the edge environments may result in reduced
native herb cover and reduced native seedling recruitment (Cox 1999).
It is unclear why an empty niche would exist within a community as natural edges
have traditionally existed. However, the structure of human-induced edges differs
from that of natural edges. While natural edges have undergone succession at
the margin of the forest, an interior type forest canopy remains when human-induced
edges are formed. The attributes that delineate natural edges, such as changes
in environmental conditions or barriers such as rivers, differ from those of
human-induced edges. The high richness and abundance of non-native species may
be self-limiting through density-dependent mechanisms. The great abundance of
invasive species at the edge region may create a barrier to light and disturbances
(associated with elements such wind and animals). This vegetation barrier may
limit the penetrance of edge effects, ultimately restricting the dominance of
non-native species (Brothers and Spingard 1993).
The Capacity of Diversity and Evenness to Reflect
Community Changes
The edge regions of the fragments tended to have greater diversity and evenness
index values than the middle or interior regions. Greater diversity may result
from the higher light levels at the edge regions, which might reduce resource
competition. More species in small abundances (due to initial dispersal limitations)
may be the result of reduced competition. Spatial heterogeneity in the severity
of edge effects could also allow the coexistence of many species. Changes in
community structure (such as the proportion of native and invasive species)
accompany this greater diversity. Smaller fragment areas also tended to have
greater diversity and evenness indices. This may result from a less stable community
allowing the addition of non-native species. When considering overall diversity
there were no significant correlations between index values and fragment area.
However, the diversity and evenness index values for the invasive species community
tended to decrease with increasing fragment area. This trend was most accentuated
at the edge and middle fragment regions. As both the species richness and abundance
of invasive species declines in larger fragments, the diversity and evenness
of the non-native species community may be expected to decline. Additionally,
increased community stability in the larger fragments could cause only a few,
superior competitor invasive species to permeate into the interior of the fragments,
lending to decreased diversity and evenness.
Our results suggest that applying diversity indices without supplementary information
may yield spurious results. Species diversity indices are frequently used as
a means of quantifying the integrity of an ecosystem. However, diversity indices
have mathematical weaknesses (see methods section), which may weaken the ability
of indices to distinguish patterns in a community. Many of the indices are troublesome
to interpret and the large quantity of available indices may compel confusion
and difficulties in comparing diversity between studies. The most significant
shortcoming of diversity and evenness is that the community structure may change
dramatically without altering the value of the index. This can occur if the
changes in the abundance and distribution of individuals within different species
counterbalance each other. As is the case with invasive species, functional
groups can enter a community in the same abundance and distribution as the functional
groups they replace. The results of this study provide examples of the weaknesses
of diversity indices. The diversity indices for the entire community failed
to reflect the changes in community composition that were suggested by examining
species richness and number individuals directly. The failure of the diversity
indices to distinguish community changes was highlighted by examining the diversity
and evenness trends for invasive and native species individually. At a minimum,
diversity indices should be supplemented with information regarding the composition
of the community (ie. percentage of invasive species, age structure by dominance
and abundance, proportion of woody and herbaceous plants). In the case of fragmentation
studies such as this, information regarding species richness or abundance trends
for native and invasive species individuals is essential (Saunders 1991). The
vegetation structure in different fragment regions and fragments of different
sizes clearly revealed differences that were not indicated by the diversity
indices.
While diversity and evenness indices may not accurately portray forest community
structure and dynamics, the concept of diversity is useful for broadly assessing
ecological conditions and as a means of conveying the impact of fragmentation.
Indeed, the concept of diversity has been an effective catch phrase used to
summon public concern over the integrity of ecosystems. The concept of diversity
should continue to be applied when appropriate. However, we should also use
additional parameters and support the development of an alternative parameter
that is more indicative of community conditions. We must not prolong the misconception
that a more diverse community necessarily possesses more ecological integrity.
As observed in this study, diversity may actually be increased through fragmentation
by adding invasive species to the plant community. In cases where a concise
parameter is unnecessary, parameters such as species richness, individual abundances,
and evenness should be used. In addition, distinguishing between native and
non-native species is useful.
A central question relating to diversity in the study of fragmentation, is whether
non-native species differentially invade species rich or poor communities (Case
1991, Tilman 1997, Higgens et al. 1999, and Wiser et al. 1998).
Any correlation between species richness or diversity and the abundance of native
species may be due to differential invasion in fragments with either high or
low species diversity and richness or, alternately, changes in forest composition
induced by the presence of invasives. When plotting the transect species diversity
against the mean percent invasive species and abundances for each transect observed
in this study, a clear positive correlation emerges. However, interpretation
of the trend highlights the difficulty in distinguishing whether diverse fragment
regions were preferentially invaded or whether the addition of the invasive
species results in increasing diversity in the fragment. The trend was plotted
against overall diversity, which was observed to remain relatively stable across
the spectrum of fragment sizes. This would suggest that the diversity-invasive
abundance relationship may be due to differential invasion of high diversity
environments. However, the diversity of the invasive species community was observed
to increase with decreasing fragment area and, hence, increasing invasive presence.
This suggests that some portion of the diversity-invasive abundance trend is
due to a greater presence of invasive species in the more diverse, smaller fragments,
but does not appear to account for the entirety of the trend.
Due to the lack of stringency in this conclusion, we chose not to explicitly
include an analysis of the diversity-invasive abundance relationship in our
results section. Our inability to uncouple the two potential causes of the correlation
results from the observational nature of our experiment. We lack information
regarding the pre-fragmentation species richness and diversities of the study
areas. Our study is also somewhat hampered by the coupling of area and edge
effects. An experiment in which fragmentation was initiated as an experimental
treatment following acquisition of data regarding pre-fragmentation control
conditions would remedy these issues. While such studies have proved successful,
inducing fragmentation was neither feasible nor desirable in the context of
this study.
Community Importance of Dominant Invasive Shrubs
When native and invasive shrubs are considered separately, the species richness
and number individuals of native shrubs are not correlated with fragment area.
However, the species richness and number individuals of invasive shrubs declines
from the edge to interior transects and with increasing fragment area. We attribute
the stronger pattern for invasive shrubs (as compared to native shrubs) to the
growth and reproductive properties of invasive species. Invasive species are
generally opportunistic (Cox 1999). Their ability to disperse widely and rapidly,
grow quickly in a variety of conditions, and tolerate disturbance allow them
to become abundant along the edges of small fragments (Cox 1999). However, the
shade intolerance of invasive species causes them to decline towards to fragment
interiors to a greater degree than native species. The limited number of native
shrubs present within the fragments suggests that the invasive species are filling
a relatively empty niche in the fragments.
The influence of the invasive shrubs is likely dependent upon their time since
invasion. A delay of approximately ten years has been observed for the population
explosion of some invasive shrubs such as a honeysuckle species (Deering 1999).
We lack extensive knowledge of the fragments' disturbance history or the history
of invasion in the plots. Hence, an explosion of the invasive shrub population
could occur once the invasive communities have existed in the fragments for
some minimum duration. Such a population explosion of invasive shrubs may have
a detrimental impact on populations of native shrubs. An additional potential
future threat to the native shrub communities would be the invasion of non-native
species with similar traits to those currently in the fragments, excepting shade-intolerance.
If non-native shrubs are eventually able to invade the shady interiors of the
fragments their populations could increase substantially and have significant
ramifications for the native species community.
A concern for the integrity of the forest fragment communities involves the
ability of native species to propagate. As we primarily examined mature vegetation,
we cannot assess the rates of native and invasive seedling recruitment. The
somewhat small influences of invasive species perceived in this study may be
a product of a time lag associated with the long lifecycles of woody trees and
shrubs. The mature tree communities likely preceded the introduction of non-native
species. The potential role of invasive species in suppressing germination and
growth of native seedling cannot be evaluated with this study's data. Studies
of seedling abundance could reveal the potential suppression of native seedlings.
A study of the distribution and abundance of shade tolerant tree seedlings in
1, 10, and 100 ha fragments of tropical rainforest observed a decline in seedling
density towards the edge of the fragments and as the size of the fragments decreased
(Benitez-Malvido 1998). This suppression of native seedlings also extends to
the herb communities. In a study conducted among a fragmented Brazilian rainforest,
a native herb, Heliconia acuminata, was between 3 and 7 times more likely
to germinate in continuous forests than in forest fragments of 1to 10 ha (Bruna
1999).
The population trends for the three dominant invasive shrubs (barberry (Berberis
thunbergii), honeysuckle (Lonicera spp.), and buckthorn (Rhamnus
spp.)) correspond to those observed for the entirety of invasive shrubs.
While these three taxa account for approximately 50% of invasive shrubs in the
middle and interior fragment regions, their invasive shrub community importance
increases to nearly 70% in the edge region. Thus, if populations of these three
shrubs could be controlled, the majority of invasive species would be excluded
from the fragments. While resisting fragmentation and preserving large forest
areas appears to be sufficient to suppress barberry populations, large fragments
are less able to resist invasion by honeysuckle or buckthorn (Figures 30 and
31). The intention of this study was to assess the broad dynamics of fragmentation
rather than prescribe management techniques for particular invasive species.
However, our results reveal the impact of invasive species on remnant forest
patches and lend support to studies evaluating the population dynamics of invasive
species with the intent developing management techniques.
Conclusions:
This study examines the theoretical framework that exists for understanding
the dynamics of forest fragmentation by considering a case study among ten eastern-deciduous
forest remnants. We observed a decrease in species richness, number individuals,
and percent invasive species and individuals from the fragment edges to their
interiors, suggesting the influence of edge effects. The influence of edge effects
declines within 10m of the fragment edge. We also observed a decrease in these
parameters with increasing fragment area. This suggests that larger areas are
less susceptible to invasion due to factors that may include increased seed
sources, greater community stability, or increased resistance to invasion.
Decrease in species richness, number individuals, and percent invasive species
and individuals from the fragment edges to their interiors were primarily attributed
to patterns of colonization by invasive species, as the native species community
was less influenced by fragment region and area. Although the invasive species
community did not appear to influence the native species community extensively,
the species richness and number individuals did tend to increase in the interior
of the fragments with increasing fragment area. The limited presence of native
shrubs in the fragments suggests that invasive shrubs may be filling a previously
empty community niche. While it does not appear that invasive woody species
are substantially displacing native woody species, our study does not address
the changes in the community of native herb species or seedling recruitment
due to fragmentation. A thorough understanding of the dynamics of forest fragmentation
in the study forests cannot be complete without considering the entire vegetation
community. However, examining woody invasive species has provided an understanding
of the forest framework within which non-woody plants exist.
Non-native species tend to have a greater capacity for dispersal, as non-native
species tend to use effective dispersal vectors, such as birds, more often than
do native species. This may allow non-native species to colonize edge habitats.
Dispersal limitations for the invasive shrubs could be overcome in future years,
ultimately allowing the community dominance of the invasive shrubs to increase
and prove detrimental to native species communities. Much of the invasive species
presence in the fragments was accounted for by three dominant invasive shrubs:
barberry (Berberis thunbergii), honeysuckle (Lonicera spp.), and
buckthorn (Rhamnus spp.). The ability to manage populations of these
three bird dispersed shrubs may allow for the majority of invasives to be excluded
from forest fragments.
Changes in forest community structure were not captured by diversity or evenness
indices, questioning the effectiveness of considering responses to forest fragmentation
with diversity indices alone. The data also highlight the fact that increases
in diversity may be due to the addition of non-native species rather than an
increase in forest integrity (associated with factors such as ecosystem health
or sustainability). The study generally validates much of the existing body
of knowledge regarding the response of forests to fragmentation. We expand the
developing collection of case studies that consider the dynamics of fragmentation
within particular ecosystems.
Our study reveals the relevance of broads concerns with the loss of species
and changes in forest structure to the eastern deciduous forests tracts remaining
amongst agricultural lands. We also provide a framework for future research
projects in the study region. An important element of this framework is the
use of GIS and remote sensing techniques to locate and examine forest fragments.
Potential future studies could quantify the microclimate transitions from the
edges to interiors of the fragments; compare the physiological response of native
and invasive plants to fragmentation; investigate differences in satellite images
between fragment regions or fragments of differing area; examine the herbaceous
communities of the fragments; or consider the seedling recruitment of native
and invasive species in the fragments.
While our study lends some hope that the introduction of invasive species resulting
from forest fragmentation may be expanding the community rather than displacing
native species, the changes in forest structure resulting from fragmentation
are clearly revealed. Our results provide support for conservation efforts dedicated
to preserving large tracts of eastern deciduous forests in order to minimize
the invasion and dominance by non-native woody plants.
Back to Table of Contents
Literature Cited:
Alatalo RV. 1981. Problems in the measurement of evenness in ecology. Oikos
37:199-204.
Baker HG. 1986. Patterns of plant invasion in North America. In Mooney
HA and Drake JA
(eds.). Ecology of Biological Invasions of North America and Hawaii.
New York:
Springer-Verlag.
Bazzaz FA. 1986. Life history of colonizing plants: some demographic, genetic,
and physiological
features. In Mooney HA and Drake JA (eds.). Ecology of Biological Invasions
of North
America and Hawaii. New York: Springer-Verlag.
Benitez-Malvido J. 1998. Impact of forest fragmentation on seedling abundance
in a tropical rain
forest. Cons. Biol. 12:380-389.
Bierregaard RO, Lovejoy TE, Kapos V, dos Santos VK, and Hutchings 1992. The
biological
dynamics of tropical forest fragmentation. Bioscience 42: 859-866.
Brooks RRR. 1974. Williamstown, the first two hundred years 1753-1953
and twenty years later, 1953-
1973. Williamstown historical commission. 1974.
Brothers TS and Spingarn A. 1993. Forest fragmentation and alien plant invasion
of central
Indiana Old-growth forests. Con. Biol. 6:91-99.
Bruna EM. 1999. Seed germination in rainforest fragments. Nature 402: 139.
Carlquist S. 1974. Island biology. New York: Columbia University Press.
Case TJ. 1991. Invasion resistant species build-up and community collapse in
metapopulation
models with interspecies competition. Biological Journey of the Linnean Society
42: 239- 266.
Chen J, Franklin JF, and Lowe JS. 1996. Comparison of abiotic and structurally
defined patch
patterns in a hypothetical forest landscape. Con. Biol. 3: 1996.
Cole BJ. 1981. Colonizing abilities, island size, and the number of species
on archipelagoes. Am.
Nat 117:629-38.
Cox GW. 1999. Alien species in North America and Hawaii: impacts on natural
ecosystems.
Washington, DC: Island Press
Deering RH 1999. Forest colonization and developmental growth of the invasive
shrub Lonicera
maacki. American Midland Naturalist 141: 43-50.
Diamond JM. 1975. The island dilemma: lessons of modern biogeographic studies
for the design of natural
reserves. Biological Conservation 7: 129-146.
Diamond JM. 1976. Island biogeography and conservation: strategy and limitations.
Science 193: 1027- 1029.
Diamond JM and May RM. 1981. Island Biogeography and the design of nature reserves.
In May
RM (ed.). Theoretical Ecology. Oxford: Blackwell.
Doak DF and Mills LS. 1994. A useful role for theory in conservation. Ecology
75: 615-616.
Douglas K. 1998. Hot spots: why are there so many species in the tropics. New
Scientist 158: 32-36.
Elton CS. 1958. The ecology of invasions by animals and plants. New York:
John Wiley & sons.
Gigord L, Picot F, and Shykoff JA 1999. Effects of habitat fragmentation on
Dombeya
acutangula (Sterculiaceae), a native tree on La Renunion (Indian Ocean).
Biological
Conservation 88:43-51.
Gilfedder L and Kirkpatrick JB 1998. Factors influencing the integrity of remnant
bushland in
subhumid Tasmania. Biological Conservation 84: 89-96.
Haila Y. 1999. Islands and Fragments. In Hunter ML (ed.). Maintaining biodiversity
in forest
ecosystems. Cambridge: Cambridge University Press
Hanski I and Kuussaari M. 1995. Butterfly metapopulation dynamics. In Cappuccino
N and Price PW,
eds. Population dynamics: new approaches and synthesis. San Diego: Academic
Press.
Harris LD. 1984. The fragmented forest: Island biogeography theory and the
preservation of biotic
diversity. Chicago: University of Chicago Press.
Higgens SI, Richardson DM, Cowling RM, and Trinder-Smith TH. 1999. Predicting
the
landscape-scale distribution of alien plants and their threat to plant diversity.
Conservation Biology 13: 303-313.
Hill MO. 1973. Diversity and evenness: a unifying notation and its consequences.
Ecology 54: 427-432.
Hill JK, Thomas CD, and Lewis OT. 1996. Effects of habitat patch size and isolation
on dispersal by
Hesperia comma butterflies: implications for metapopulation structure.
Journal of animal ecology
65: 725-735.
Hulbert SH. 1971. The non-concept of species diversity: a critique and alternative
parameters. Ecology 52:
577-586.
Huston MA 1997. Hidden treatments in ecological experiments: reevaluating the
ecosystem
function of biodiversity. Oecologia 110: 449-460.
Hutchinson TF and Vankat JL. 1998. Landscape structure and spread of the exotic
shrub Lonicera
maacki (Amur Honeysuckle) in Southwestern Ohio Forests. Amer. Midl. Nat.
139:383-390.
Kellman M, Tackaberry R, Meave J. 1996. The consequences of prolonged fragmentation:
lessons
from tropical gallery forests. In Schelhas J and Greenberg R (eds.). Forest
Patches in
Tropical Landscapes. Washington, DC: Island Press.
Laurence WF, Bierregaard RO, Gascon C, Didham RK, Smith AP, Lynam AJ, Viana
VM,
Lovejoy TE, Sieving KE, Sites JW, Andersen M, Tocher MD, Kramer EA, Restrepo
C,
and Mortiz C. 1997 Tropical Forest Fragmentation: synthesis of a diverse and
dynamic
discipline. In Laurence WF and Bierregaard (eds.). Tropical forest fragmentation:
Ecology,
management, and conservation of fragmented communities. Chicago: University
of Chicago Press.
Laurance WF, Ferreira LV, Rankin-De Merona LM, and Laurance SG. 1998. Rain forest
fragmentation and the dynamics of Amazonian tree communities. Ecology 79: 2032-2040.
Levenson JB. 1981. Woodlots as biogeographic islands in Southeastern Wisconsin.
In Burgess
RL and Sharpe DM (eds.). Forest island dynamics in man-dominated landscapes.
New
York: Springer-Verlag.
Lovejoy TE and Oren DC. 1981. The minimum critical size of ecosystems. In Burgess
RL and
Sharpe DM (eds.). Forest island dynamics in man-dominated landscapes.
New York:
Springer-Verlag.
Lovejoy TE, Bierregaard RO, Rylands AB, Malcom JR, Quintela CE, Harper LH, Brown
KS,
Powell AH, Powell GVN, Shubart HOR, and Hays MB. 1986. Edge and other effects
of
isolation on Amazon forest fragments. In Soule ME (ed.).Conservation Biology:
the
science of scarcity and diversity. Sunderland, MA: Sinauer Associates.
Ludwig JA and Reynolds JF. 1988. Statistical ecology: a primer on methods
and computing. New York:
John Wiley & Sons.
Luken JO and Goessling M. 1995. Seedling Distribution and potential persistence
of the exotic
shrub Lonicera maackii in fragmented forests. Amer. Mid. Nat. 133: 124-130.
MacArthur RH and Wilson EO. 1967. The theory of island biogeography.
Princeton: Princeton
University Press
Malcolm JR. 1994. Edge effects in Central Amazonian Forest Fragments. Ecology
75: 2438-2445.
Matlack GR. 1994. Vegetation Dynamics at the Forest Edge- trends in space and
successional
time. Journal of Ecology 82: 113-123
Matlack G and Litvaitis J. 1999. Forest Edges. In Hunter ML (ed.). Maintaining
biodiversity in
forest ecosystems. Cambridge: Cambridge University Press.
May RM. 1973. Stability and Complexity in Model Ecosystems. Princeton:
Princeton University Press.
Meiners SJ and Pickett STA. 1999. Changes in community structure and population
responses
across a forest-field gradient. Ecography 1999 v22 N3 p261-267
Murcia C. 1995. Edge effects in fragmented forests: implications for conservation.
TREE 2: 58- 62.
Nee S and May RM. 1992. Dynamics of metapopulations: habitat destruction and
competitive
coexistence. Ecology 61: 37-40.
New TR. 1997. Butterfly Conservation. Oxford: Oxford university press.
Palik BJ and Murphy PG. 1990. Disturbance verses edge effects in sugar-maple/beech
forest
fragments. Forest Ecology and Management 32: 187-202.
Peet RK. 1974. The measurement of species diversity. Annual review of ecology
and systematics 5:285- 307.
Peet RK. 1975. Relative diversity indices. Ecology 56: 496-498.
Preston FW. 1962. The canonical distribution of commonness and rarity: part
1. Ecology 43: 185- 215.
Ranney JW. 1977. Forest island edges: their structure, development, and importance
to regional
forest ecosystem dynamics. Oak Ridge, TN: Oak Ridge National Laboratory.
Ranney JW, Bruner MC, and Levenson. 1981. The important of edge in the structure
and
dynamics of forest islands. In Burgess RL and Sharpe DM (eds.). Forest island
dynamics
in man-dominated landscapes. New York: Springer-Verlag.
Raven PH and McNeely JA. 1998. Biological Extinction: Its scope and meaning
for us. In Guruswaour LD
and McNeely JA. Protection of global biodiversity: Converging strategies.
Durham: Duke
University Press.
Roberts MR and Gilliam FS. 1995 Patterns and Mechanisms of Plant Diversity in
Forested
Ecosystems: implications for forest management. Ecological Applications 5:969-977.
Rose S and Fairweather PG. 1997. Changes is floristic composition of urban bushland
invaded by
Pittosporum undulatum in northern Sydney, Australia. Australian journal of botany
45: 123-149.
Saterson KA. 1977. A vegetation history of Williamstown 1752-1977. Williams
College: unpublished thesis.
Saunders DA, Hobbs RJ, and Margules CR. 1991. Biological consequences of ecosystem
fragmentation: a review. Cons. Biol. 5:18-32.
Schulze DE, Bazzaz FA, Nadelhoffer KJ, Koike T, and Takatsuki S. 1996. Biodiversity
and
Ecosystem Function of temperate deciduous broad-leaved forests. In Mooney HA,
Cushman JH, Medina E, Sala OE, and Schulze ED. Functional Roles of Biodiversity:
A
global perspective. England: John Wiley & Sons Ltd.
Shannon CE and Weaver W. 1949. The mathematical theory of communication.
Urbana, IL: University
Illinois Press.
Shigesada N and Kawasaki K. 1997. Biological Invasions: Theory and Practice.
Oxford: Oxford
University Press.
Simberloff DS and Abele LG. 1976. Island biogeography theory and conservation
practice. Science 191:285-
286.
Simberloff D and Abele LG. 1982. Refuge design and island biogeographic theory:
effects
of fragmentation. Am. Nat. 120:41-50.
Simberloff D 1988. The contribution of population and community biology to conservation
science. Ann. Rev. Ecol. Syst. 19:473-511.
Simpson EH. 1949. Measurement of diversity. Nature 163: 688.
Sullivan Al and Shaffer ML. 1975. Biogeography of the Megazoo. Science 189:
13-17.
Stork NE. 1997. Measuring Global Biodiversity and its decline. In Reaka-Kudla
ML, Wilson DE, and Wilson
EO. Biodiversity II: understanding and protecting our biological resources.
Washington, DC: Joseph
Henry Press.
Terborgh J. 1976. Island biogeography and conservation: strategy and limitations.
Science 193: 1029-1030.
Thomas CD and Hanski I. 1997. Butterfly Metapopulations. In Hanski IA and Gilpin
ME, eds.
Metapopulation Biology: ecology, genetics, and evolution. San Diego:
Academic Press.
Tilman D. 1997. Community invisibility, recruitment limitation, and grassland
biodiversity. Ecology 78:81-92
Wales BA. 1972. Vegetation analysis of north and south edges in a mature oak-hickory
forest.
Ecological Monographs 42: 451-471.
Weatherbee PB. 1996. The flora of Berkshire County Massachusetts. Dalton:
the Studley Press.
Whittaker RJ. 1998. Island Biogeography: Ecology, evolution, and conservation.
Oxford:
Oxford University Press.
Wilcove DS, Mclellan CH, and Dobson AP. 1986. Habitat fragmentation in the temperate
zone. In
Soule ME (ed.).Conservation Biology: the science of scarcity and diversity.
Sunderland,
MA: Sinauer Associates.
Wilcox BA and Murphy DD. 1985. Conservation Strategy: the effects of fragmentation
on
extinction. American Naturalist 125:879-87.
Williams-Linera G, Dominguez-Gastelu V, and Garcia-Zurita ME. 1998. Microenvironment
and
floristics of different edges in a fragmented tropical rainforest. Cons. Biol.
12:1091-1101
Wiser SK, Allen RB, Clinto PW, and Platt KH. 1998. Community structure and forest
invasion by an exotic herb over 23 years. Ecology 79: 2071-2081
Woods KD. 1993. Effects of invasion by Lonicera tatarica L. on herbs
and Tree Seedlings in Four
New England Forests. Am. Midl. Nat 130: 62-74
Yahner RH. 1995. Eastern Deciduous Forests. Minneapolis: University of
Minnesota Press.
Zuidema PA, Sayer JA, and Dijkman W. 1996. Forest fragmentation and biodiversity:
The case
for intermediate sized conservation areas. Environmental conservation 23: 290-297.
Back to Table of Contents
Appendix A: Study fragment descriptions and directions.
* UTM coordinates based upon the 1983 UTM projection, zone 18N.
Back to Table of Contents
Appendix B: Species list of all species observed in study
fragments
Back to Table of Contents
Appendix C: Species composition of study fragments
Note that some Lonicera spp. identifications are uncertain as noted in
Appendix B.






Back to Table of Contents
|