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![]() Mapping Wildlife Habitat in the Lewis Creek Watershed ![]() Personnel: David E. Capen, Lisa Osborn, Sean MacFaden, Reed Sims ![]() Cooperators: Natural Resource Conservation Service |

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Introduction
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As part of a special USDA research project to demonstrate GIS applications for natural resource
assessment and community planning, a land-cover/land-use (LCLU) GIS coverage was developed for
the Lewis Creek Watershed in northwestern Vermont. This watershed lies within Chittenden and
Addison Counties in Vermont and encompasses portions of seven towns: Charlotte, Hinesburg,
Monkton, Starksboro, Ferrisburg, Bristol, and Huntington. To complement the LCLU coverage, a list
of wildlife species that were expected to occur in the region of the
watershed was compiled. For each species, habitat(s) where the species would be
likely to
occur and related habitat associations to one of twelve classes of land cover or land use were
identified.
The resulting "species-habitat" matrix, when linked with the LCLU coverage in a GIS, can be
used to predict the distribution of wildlife species within the watershed.
![]() Land Use/Land Cover Mapping ![]()
The primary source for LCLU was Vermont's unique resource of 1:5000 digital orthophotos, which
have been produced over a six-year period, 1995-2000. Photographs for Addison County were taken
in early spring 1995; those for Chittenden County were recorded in spring 1999. The Vermont
Digital Orthophoto Quads (DOQs) are available from the Vermont Mapping Program
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The LCLU coverage was developed by on-screen digitizing using ArcInfo GIS. The
high-resolution DOQs allowed us to delineate 0.01 acres as the minimum mapping unit.
Polygons were labeled at intervals throughout the digitizing process. Land-use/land-cover
classes and codes were those recommended by the Technical Advisory Committee of Vermont
Center for Geographic Information (VCGI), and are available from (VCGI). These codes are
an expansion of the U.S.G.S. LCLU categories developed by Anderson et al. (1976) for use
with remotely sensed images. Initially, we labeled 30 different classes were labeled, but when the two
coverages were joined the number of classes were consolidated, because the main function of the
coverage was as a tool for wildlife habitat analysis and many of the remaining codes were for
different types of developed areas. The final result was twelve land cover classes.
![]() Figure 1: Twelve-class land-cover map for the Lewis Creek Watershed, Vermont Figure 2. Close-up of 12-class land-cover map for the Lewis Creek Watershed, Vermont ![]()
There has been no assessment of the accuracy of the LCLU coverage, although it is
believed to be quite accurate because of the detail visible on the DOQs.
![]() Habitat Conservation Planning ![]()
Experienced conservation planners, with an understanding of wildlife habitat, would design a
habitat conservation plan for a watershed that would provide a diversity of land-cover types
maintained in a configuration that would allow movement of animals within and among different
habitat types. The most important component of such a plan would be "connectivity," the
antithesis of habitat fragmentation. Whether land-cover types are open fields, forest,
wetlands, rivers, or ponds, the most important feature in a habitat conservation plan is
connectivity. If habitat connectivity is achieved in only a single land-cover type, such as
forest, however,
species that prefer a mix of habitat types might not be present or might not survive adequately.
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In most Vermont landscapes, ownership patterns make comprehensive planning for wildlife
difficult, and ideal conservation plans are rarely achieved. Fragmentation of habitat
is the most serious threat, but just as important is the fact that areas most suitable
for agriculture and human settlement also are often the highest quality wildlife habitat.
Thus, acres conserved for wildlife too often
are those that remain after the most productive sites are developed.
![]() Species-Habitat Matrix ![]()
One approach for assuring that a diversity of wildlife is conserved within a
conservation district, such as a watershed, is to compile a list of wildlife
species that would be expected to occur in the watershed, identify areas where
these species occur, and be certain that adequate amounts of habitat for all
species are conserved. To provide for this approach in the Lewis Creek watershed, a matrix of species for the watershed and habitats that relate to
the LULC mapping were compiled.
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A list of wildlife species-amphibians, birds, mammals, and reptiles-thought
to be present in the Lewis Creek watershed was developed. This list was modified from a more comprehensive
database of terrestrial vertebrates in Vermont and New Hampshire compiled for the New England Gap Analysis Project. For each species in this list, the
LCLU classes where the species could be found were indicated. The species-habitat matrix does not project
"preferred" habitat, but rather all habitat classes that would fall within the normal home
range of a species. Thus, a wide-ranging mammal, such as a coyote, would be associated
with most of the habitat (LCLU) classes in the database.
![]() Figure 3. Species-habitat matrix indicating specific land-cover classes in which individual species are assumed to occur in the Lewis Creek Watershed, Vermont ![]()
The species-habitat matrix, linked to the LCLU
coverage in a GIS, can easily be used to project a map of the expected distribution of each
of the wildlife species in the matrix. For this purpose, a "project" for
ArcView GIS that links the species-habitat matrix with the LULC coverage was created.
![]() Figure 4. Example ArcView query showing land-cover classes that may serve as habitat for the Jefferson salamander, Lewis Creek Watershed, Vermont ![]()
The entire list of wildlife in the species-habitat matrix may be use to produce
maps of species richness. The Gap Analysis Program uses such data to produce maps
of "species richness." This involves predicting the distribution of each species
in the database, then overlaying all distribution maps and identifying areas where
the greatest number of species occurs. This approach may be appropriate for large
geographic areas (Gap Analysis is a national program) but is too cumbersome, or
even misleading, for conservation planning in a single watershed. Such "hotspots"
of species richness for a single watershed would likely feature areas where different
land-cover types intersect, and thus might identify a highly fragmented region.
![]() Habitat Indicator Species ![]()
Another approach is to select "habitat indicator species." Some wildlife species show
narrow preferences for certain habitat conditions; e.g., the indigo bunting is a bird
that is found during the breeding season in fields with abundant brush, such as small
hardwood trees. In contrast, other species, such as the red fox, survive best in areas
where several habitat types converge, providing abundant edge habitats where the fox
finds prey species. A suite of species that collectively require a diversity of habitat
types comprise the habitat indicators for an entire watershed-planning unit. Habitat
indicators should be species that are reasonably abundant and easy to identify and monitor.
A subset of 29 wildlife species from the species-habitat matrix that meet theses
criteria was designated. No rigorous
method was used to identify these species, and certainly others could be just as appropriate.
![]() Figure 5. Possible habitat for the indigo bunting, a habitat indicator species in the Lewis Creek Watershed, Vermont ![]()
The project's objective was to promote citizen participation in assessing and monitoring wildlife
habitat in the Lewis Creek watershed. The Lewis Creek Association currently has an active
program for monitoring a select few mammals through winter tracking. They expand
that effort to include more species, in more habitat types, in more seasons of the year.
Field activities to locate and monitor selected wildlife species will serve to validate
predictions from the species-habitat
matrix and to identify best examples of habitats for each of the species monitored.
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| Updated: 12 December 2002 |