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Published on: October 11, 2016
Comparing habitat suitability and connectivity modeling methods for conserving pronghorn migrations
Erin E Poor1, Colby Loucks, Andrew Jakes
1Conservation Science Program, World Wildlife Fund, Washington D. C., USA. erinpoor@vt.edu
Identifying effective wildlife corridors is crucial as terrestrial migrations decline. This study found that Maxent habitat suitability models combined with least-cost modeling best identified pronghorn migration corridors in fragmented prairie landscapes.
Area of Science:
- Ecology
- Conservation Biology
- Wildlife Management
Background:
- Terrestrial long-distance migrations are declining globally, with significant losses in North America.
- Habitat fragmentation poses a major threat to migratory species, necessitating research on effective corridor identification.
- Limited research exists comparing different modeling approaches for identifying migration corridors in fragmented landscapes.
Purpose of the Study:
- To compare the effectiveness of different habitat suitability and connectivity models in identifying pronghorn migration corridors.
- To evaluate the performance of maximum entropy (Maxent) and expert-based (Analytic Hierarchy Process) habitat suitability models.
- To assess the utility of least-cost modeling (LCM) and circuit theory for connectivity analysis.
Main Methods:
- Habitat suitability was modeled using Maxent and Analytic Hierarchy Process, incorporating variables like distance to wells, water, roads, NDVI, land cover, terrain shape, and fence presence.
- Connectivity was modeled using least-cost modeling and circuit theory, with habitat suitability outputs serving as cost surfaces.
- Pronghorn GPS movement data from spring and fall migrations were used to validate the identified corridors.
Main Results:
- The combination of Maxent habitat suitability models and LCM for connectivity analysis yielded the best results for identifying pronghorn migration corridors across both seasons.
- Maxent models outperformed expert-based models in predicting habitat suitability for pronghorn migrations.
- LCM corridors contained a higher number of pronghorn GPS locations compared to circuit theory corridors, indicating superior performance.
Conclusions:
- Maxent coupled with LCM provides a robust approach for identifying critical migration corridors in fragmented landscapes.
- Expert-based models offer a cost-effective alternative for corridor identification when species location data are scarce.
- A tiered approach to corridor conservation, considering varying widths and mitigation actions like fence removal, is recommended for effective conservation planning.
Related Concept Videos
Migration
Habitat Fragmentation
Conservation of Declining Populations
Conservation of Small Populations
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Predator-Prey Interactions

