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Abstract
Viability Assessment
of Ecological Communities Based on Species Area Requirements and Disturbance
Scale In the Northern Appalachian Ecoregion
Mark G. Anderson
The Nature Conservancy
Boston, Massachusetts
The objective of this research was to design a conservation reserve
system that included multiple viable examples of all ecological community
types within one specific ecoregion - the Northern Appalachians. Toward
this goal, we developed and defined a comprehensive list of the ecological
communities in the ecoregion that, if appropriately protected, should
serve as "coarse filters" for the conservation of associated
species, ecological processes and evolutionary environments. Actual
examples of each community were identified and each occurrence was required
to meet specific viability criteria to qualify for inclusion in the
reserve system. The viability criteria were designed relative to the
natural size of the community in the ecoregion and were scaled to insure
that each occurrence would be large enough to 1) contain at least 25
female territories of all associated species that breed in this community
and 2) meet the minimum area requirements identified for any associated
area-sensitive species. Additionally the occurrence had to be large
enough to recover from characteristic disturbances. Adequate size was
determined relative to the size of severe disturbances patches from
catastrophic disturbance occurring over the last century. Lastly each
occurrence had to meet an internal condition standard and a measure
of landscape context. We assessed 1500 community occurrences in the
region compiled from state Natural Heritage databases and an analysis
of roadless areas. In total, 510 community occurrences (34%) met the
viability criteria. These were distributed across 120 community types
with 38 occurrences being large matrix-forming forest types and 482
being patch communities. Replicate viable occurrences were identified
across biophysical subregions to increase the overall chances of each
community persisting over time.
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