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Wildlife monitoring across multiple spatial scales using grid-based sampling


McKelvey, Kevin S.; Cushman, Samuel A.; Schwartz, Michael K.; Ruggiero, Leonard F. 2009. Wildlife monitoring across multiple spatial scales using grid-based sampling. In: McRoberts, R. E.; Reams, G. A.; Van Deusen, P. A.; McWilliams, W. H., eds. Prooceedings of the Eighth Annual Forest Inventory and Analysis Symposium; October 16-19 2006; Monterey, CA. Gen. Tech. Rep. WO-79. Washington, DC: U.S. Department of Agriculture, Forest Service: 137-142.

Recently, noninvasive genetic sampling has become the most effective way to reliably sample occurrence of many species. In addition, genetic data provide a rich data source enabling the monitoring of population status. The combination of genetically based animal data collected at known spatial coordinates with vegetation, topography, and other available covariates enables development of habitat relationships and evaluation of population attributes, such as connectivity. Colocating animal occurrence sampling on an extensive vegetation plot grid, such as the forest inventory and analysis grid, provides opportunities to develop statistical models and monitor animal populations.

Keywords: wildlife monitoring, multiple spatial scales, grid-based sampling, noninvasive genetic sampling


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Title: RMRS Other Publications: Wildlife monitoring across multiple spatial scales using grid-based sampling
Electronic Publish Date: June 30, 2009
Last Update:
June 30, 2009

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