| |
Research Request
for Proposals |
Research Reports
DOT Project Number: 90-00-LRTF-404
Fiscal Year: 2004
Award: $21,000.00
Principal Investigator: Diane Debinski,
Department of Ecology, Evolution and Organismal Biology,
Iowa State University,
debinski@iastate.edu
Other Project Participants: Stephen
Hendrix, Department of Biological Sciences, University
of Iowa; Jessica Skibbe, Department of Ecology,
Evolution and Organismal Biology, Iowa State University
Summary Report:
SUSTAINING POLLINATOR DIVERSITY IN A FRAGMENTED
LANDSCAPE: THE ROLE OF ROADSIDES AND RAILROAD
RIGHTS-OF-WAY
Introduction
The fragmented landscape of the Midwest USA creates
prairie pieces embedded in an inhospitable matrix,
potentially impermeable to dispersing individuals.
Concern over the loss of pollinator diversity and its
ecological and economic consequences has been growing in
recent years as conservationists and others have begun
to focus on previously undervalued ecological services.
The major cause of the loss of pollinator diversity
throughout the world is thought to be habitat
fragmentation. Additional causes of pollinator diversity
loss include increased application of insecticides,
habitat loss due to agriculture, and urbanization.
We examined butterfly responses to linear prairies
(roadsides, railroad rights-of-way, trails, etc.) and
block prairies (state preserves and private prairies) in
order to better understand the conservation value of
these most common types of remnants. We studied the
butterfly community in prairie remnants to answer four
questions: 1) How do different guilds of species respond
to local environmental variables? 2) How do
configuration and composition of landscape elements of
differing diversity of floral resources affect butterfly
diversity at point locations in the landscape? 3) Which
of five spatial extents, ranging from local to 0.5-2 km
radius around a site (landscape) predict point-level
butterfly diversity? and 4) How do local and landscape
variables affect butterflies in linear compared to block
habitats?
Methods
In the summer of 2004 we sampled the butterfly
communities in ten block and 25 linear habitats in the
northwest quarter of Iowa (Fig. 1). The block habitats
sampled represent a wide range of sizes (26 –160 acres)
and the landscape surrounding them varied considerably
in the relative amount of landscape elements. Two 100m
by 5m transects were established at each site.
We sampled butterflies three times during the growing
season (June, July, and August) visiting each site once
for butterflies. Butterfly surveys were conducted
between by walking each 100 m transect at a pace of 10
m/min during ideal environmental conditions and
observing butterflies within 2.5 m on either side and in
front of the observer. During each visit, all
butterflies (including skippers) were counted.
Floral resources at the site were surveyed by direct
counting flowering ramets within the 100m transect
during each round of butterfly sampling. A relevé of the
transect was performed to approximate relative
proportions of forbs, native grass, non-native grass,
standing dead vegetation and bare ground.
We quantified resources in the landscape surrounding
each block habitat and ten linear habitats within 2 km
centered in the middle of the site. We analyzed the
landscape data using nested spatial extents of 0.5, 1.0,
1.5 and 2.0 km because different guilds of pollinators
(e.g., immobile vs. mobile; habitat-sensitive vs.
disturbance-tolerant) may respond to landscape features
at different spatial extents. We used digital color
infrared orthophotographs taken in 2002 along with the
program ArcMap 8.3 to divide each landscape into
visually distinct, homogeneous polygons. The boundaries
of the polygons were checked for any recent land use
changes and each polygon was assigned a landscape
element and given a resource value of 0-5 on the basis
of diversity of floral sources in the polygon.
We used a number of multivariate analyses (canonical
correspondence analysis, multivariate analysis of
variance, partial least squares regression, and multiple
linear regression) to assess differences in community
composition between linear and block habitats and the
effects of local and landscape variables on butterfly
abundance. Butterfly habitat guilds were classified a
priori based on host plant and nectar resource
affinities. Disturbance-tolerant (DT) species survive
well in agricultural settings and/or in urban areas and
occur throughout Iowa. Habitat-sensitive (HS) species
are associated with native prairie habitat and require
conservative plants for either larval or adult
resources.

Results
In 2004 we surveyed 1130 individual butterflies and 32
species. The most common species in order of decreasing
abundance were Eastern-tailed Blue (Cupido comnyntas),
Orange Sulfur (Colias eurytheme), Common Wood Nymph (Cercyonis
pegala), Long Dash Skipper (Polites mystic) and Regal
Fritillary (Speyeria idalia).
The total number of species was significantly greater in
linear compared with block habitats (F1,33=14.01,
p=0.001) as was the total number of DT species
(F1,33=13.01, p=0.001). Additional response variables
tested were not significantly different between linear
and block habitats (total abundance: F1,33=1.30, p>0.05;
DT abundance: F1,33=2.47, p>0.05; HS abundance:
F1,33=0.32, p>0.05; and total number of HS species
F1,33=1.65; p>0.05). Multivariate analyses clearly
separated linear from block habitats based on butterfly
community composition. Multivariate analysis of variance
indicated no differences in environmental variables
between linear and block habitats at the local scale,
but significant differences in landscape environmental
variables between linear and block habitats.
The local variable that was most highly correlated with
butterfly community response was litter. HS abundance
was positively correlated with litter while DT abundance
was negatively correlated with litter. At the landscape
scale, the amount of roads surrounding the habitat was
the most important variable at all spatial extents.
Results from partial least squares regression suggest
there are indeed effects of the landscape on butterflies
at all extents investigated (local; 0.5, 1.0, 1.5, and
2.0 km). The 0.5 km landscape extent was the most highly
correlated with butterfly community abundance. Variance
partitioning using partial canonical correspondence
analysis indicated that landscape variables at all
spatial extents add additional explanatory power beyond
local variables with little overlap in percentage of
variation explained.
Discussion
From this we conclude that linear habitats harbor a
different assemblage of butterflies than block habitats,
and linear habitats provide important resources for
habitat-sensitive species in Iowa, thus increasing the
overall diversity of butterflies. Our results provide
evidence for mass effects, where local populations are
not self-sustaining on linear habitats due to a decrease
in species richness with increasing habitat size.
Additional information on birth and death rates in
linear habitats is necessary to validate source-sink
dynamics.
In terms of management decisions, varying the amount of
litter will produce opposite effects on abundance of DT
and HS species. These data suggest that by decreasing
the frequency and intensity of prescribed fires,
managers could increase the diversity of HS species on
prairie fragments.
We know that butterflies immigrate to high-quality
patches, which suggests they are either assessing
patches from a distance or moving within the landscape
and sampling. Our results support the hypothesis that
butterflies are making decisions based both on the local
and landscape environmental factors. Additionally, the
sphere of environmental influence for a butterfly occurs
at a relatively small spatial extent suggesting that
butterflies are sampling the landscape immediately
surrounding the prairie remnant.
Roads are highly and positively correlated with some
species such as Anatrytone logan, Celastrina neglecta,
and Pholisora catullus. A. logan is a habitat-sensitive
species which uses grass species as host plants and may
be responding positively to roads because of the
associated increased connectivity grassy roadsides
provide. Alternatively, C. neglecta and P. catullus,
both DT species, larvae require host plants commonly
found in roadside ditches (Melilotus officinalis and
Chenopodium album respectively) and may be responding to
a higher abundance of those species. Although grassland
and minimum distance to the nearest polygon with high
floral resources are associated with block habitat
sites, only Speyeria idalia is positively correlated
with the minimum distance to nearest polygon with high
floral resources. This species is of special concern in
Iowa and given these results, in order to increase the
abundance of S. idalia, patches of habitat should be
created with high floral diversity in close proximity to
preserves.
This research allowed us to evaluate the role of small
linear strip prairies in the larger context of
preserving butterfly diversity. From such information we
developed predictive models that are useful in guiding
development of future roadside plantings and railroad
right-of-way management. Additional research on
butterfly movement and behavior is necessary to evaluate
the safety of linear habitats for butterflies. Negative
factors of roadsides such as mortality due to automobile
traffic and pesticide drift and/or direct spraying on
agricultural buffer strips, roadsides, and railroad
rights-of-way may outweigh the benefits such as nectar
and host plant resources prairie plantings and remnants
provide. Critical questions therefore include: how are
butterflies using the roadsides and do the benefits of
roadside prairie fragments outweigh the ecological
costs?
|
|