Five Valleys Land Trust
GAP initiated a project with the Five Valleys Land Trust (FVLT) to demonstrate the application of GAP data to conservation activities. The Trust needed to identify priority areas for conservation in their large service area.
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MoRAP Project: Aquatic GAP Pilot Project
The principal goal of this project was to identify riverine species, habitats, and ecosystems and species not adequately represented (i.e., gaps) in the matrix of conservation lands in Missouri.
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Rapid Fire Regime Condition Class Assessment Process
Fire Regime Condition Class (FRCC) is an index used for allocation of fire funding and resources prioritization of fuels and restoration treatments, and evaluation of the success and failures of historical wildfire management activity. A rapid mid-scale process provides spatial fire regime condition class data at resolutions appropriate for multi-area planning, assessment of potential long-term effects of alternative conservation strategies, prioritization of projects, development of fire management plas, and revision and amendment of agency forest and resource land management plans..
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Joint Fire Science Program Project
The overall goal of the Joint Fire Science Program Project was to contribute to our knowledge of historical and modern fire regimes within northern Michigan, Minnesota, and Wisconsin.
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Utah Fire Assessment Project
The Utah Fire Assessment Project used GAP land cover data to help identify general hazard areas at a state-wide level for fire management. The assessment defined, and then ranked risks, values, and hazards and assigned a final analysis rating based on a combination of these factors.
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Charting Sin Nombre Virus Infections in Deer Mice
Environmental data from remote sensing and geographic information system maps were tested as possible indicators of Sin Nombre virus (SNV) infections in deer mouse (Peromyscus maniculatus) populations in the Walker River Basin, Nevada and California. Deer mice from 144 field sites were tested for the presence of SNV infections. Remote sensing and geographic information systems data were used to characterize the vegetation type and density, elevation, slope, and hydrologic features of each field site. The data retroactively predicted infection status of deer mice with up to 80% accuracy. If models of SNV temporal dynamics can be integrated with baseline spatial models, human risk for infection may be assessed with reasonable accuracy.
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Bird Conservation Planning in the Interior Low Plateaus
Researchers at Cornell used Gap state data, along with satellite imagery, GIS, and Breeding Bird Atlas data to develop landscape-level habitat models for the Interior Low Plateaus. Their goals were to identify areas of species richness, identify and prioritize areas for potential acquisition or partnerships, identify areas with high restoration potential, identify areas where nesting bird management is a priority, and identify areas that require more intensive inventories.
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Modeling Wildlife Habitat Corridors in the Greater Grand Staircase-Escalante Ecosystem
Researchers at the Center for Landscape Analysis used Gap Analysis data to identify potential animal movement corridors for black bear, bald eagle, desert bighorn sheep, mountain lion, and peregrine falcon. Potential travel corridors for species were analyzed according to the spatial relationship between roads and the species’ preferred habitat.
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Analyzing Wildlife Movement Corridors in Montana Using GIS
In this project, researchers delineated landscape routes offering the best chance of success for wildlife moving among the three large core protected areas in the Northern Rockies — the Salmon-Selway, Northern Continental Divide, and Greater Yellowstone Ecosystems. Using ARC/GRID and Montana Gap Analysis data, they derived habitat suitability models for three umbrella species, which were combined with road density information to create kilometer-scale cost surfaces of movement.
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Using Spatial Analysis to Drive Reserve Design: A Case Study of a National Wildlife Refuge in Indiana and Illinois
The goal of this project was to identify focus areas for future conservation that complement an existng reserve. Planners followed three guiding principles in designing the reserve: (1) focus on the most important remaining and restorable FWS trust resources; (2) emphasize corridors, particularly the Kankakee River, and connectivity among existing managed areas and areas of high resource value; and (3) enhance the effective size of existing protected areas by providing connectivity, improving the adjacent matrix, and protecting contiguous areas.
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Predicting the Risk of Lyme Disease: Habitat Suitability for Ixodes scapularis in the North Central United States
The purpose of this study was to determine the distribution of I. scapularis in the upper Midwest based on data from Wisconsin, northern Illinois, and the Upper Peninsula of Michigan, and to explain the environmental factors that facilitate or inhibit the establishment of I. scapularis .
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Identifying Big Game Migration Corridors in Wyoming
Given that disruption of migration can reduce the size and viability of big game herds, natural resource managers are increasingly focused on maintaining the quality of migration corridors. Because resources for land and wildlife management are limited, managers need to know which corridors are at risk from disturbances. The study presented here is intended to help identify areas of the state where migration corridors are most at risk.