Landscape-Level Habitat Modeling and Mapping for Conservation Planning: Use of GAP Analysis

AuthorWayne Myers, Joseph Bishop, and Robert Brooks
Pages113-126
Chapter 9
Landscape-Level Habitat Modeling
and Mapping for Conservation
Planning: Use of GAP Analysis
by Wayne Myers, Joseph Bishop, and Robert Brooks
I. Introduction
The challenge of conducting environmental assessments in support of plan-
ning for conservation of biodiversity is formidable. In fact, biodiversity is it-
self intriguingly nebulous. It is intrinsically an area-based concern, but it is
also necessarily a temporal matter. The picture literally changes moment by
moment at a micro scale, and setting the scope at the entire taxonomic spec-
trum is beyond contemporary technological capacity. At the largest (earth)
scale, biodiversity is a losing proposition since extinctions are virtually cer-
tain to outpace the rate at which new species emerge and are classified. It be-
comes necessary to adopt expedients in order to make reasonable progress,
and these expedients may include knowledge-based speculation in a formal-
ized manner.
Gap analysis1is an expedient approach that has been applied extensively
in the United States, as well as influencing biodiversity planning efforts else-
where. In fact, the U.S. Geological Survey (USGS)2has established the Gap
Analysis Program (GAP) to utilize gap analysis on a state and regional basis
with the objective of identifying gaps in conservation planning and cover-
age. Simply stated, GAP analysis utilizes computerized geographic infor-
mation systems (GIS) to create a series of overlay maps of features relevant
to biodiversity-based conservation. In general, the process involves correla-
tion for two sets of criteria identifying land areas according to: (1) the ele-
113
1. J. Michael Scott et al., Gap Analysis: A Geographic Approach to Protection of
Biological Diversity,Wildlife Monographs (No. 123, 1993).
2. Pennsylvania GAP Analysis Project research was conducted under sponsor-
ship of USGS Cooperative Agreement No. 14-16-0009-1548, Research Work
Order No. 40. See Myers et al.,infra note 5.

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