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Modeling forest bird species' likelihood
of occurrence in Utah with Forest Inventory and Analysis and Landfire
map products and ecologically based pseudo-absence points
Zarnetske, Phoebe L.; Edwards, Thomas C., Jr.; Moisen, Gretchen G. 2007. Modeling forest bird species' likelihood of occurrence in Utah with Forest Inventory and Analysis and Landfire map products and ecologically based pseudo-absence points. In: McRoberts, Ronald E.; Reams, Gregory A.; Van Deusen, Paul C.; McWilliams, William H., eds. Proceedings of the Seventh Annual Forest Inventory and Analysis Symposium; 2005 October 3-4; Portland, ME. Gen. Tech. Report WO-77. Washington, DC: U.S. Department of Agriculture Forest Service. p. 291-306
Estimating species likelihood of occurrence across extensive landscapes is a powerful management tool. Unfortunately, available occurrence data for landscape-scale modeling is often lacking and usually only in the form of observed presences. Ecologically based pseudo-absence points were generated from within habitat envelopes to accompany presence-only data in habitat classification models (HCM) for the northern goshawk (Accipiter gentilis atricapillus). We built models at two resolutions, using predictor variables derived from 250-m Forest Inventory and Analysis map products, 30-m U.S. Department of Agriculture Landfire map products, and digital elevation models. Cross-validation provided an assessment of models' predictive capabilities. Use of ecologically based pseudo-absence points to accompany extant presence points in HCM can be a powerful asset for species conservation.
Keywords: modeling, bird species, Utah, Forest Inventory and Analysis (FIA), Landfire, map, habitat classification models (HCM), pseudo-absence points
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http://www.fs.fed.us/rm/pubs_other/wo_gtr077_291_305.pdf
PDF File Size: 2.4 MBWO-GTR-77: http://www.treesearch.fs.fed.us/pubs/13156
Title: RMRS Other
Publications: Modeling forest bird species' likelihood of occurrence
in Utah with Forest Inventory and Analysis and Landfire map products
and ecologically based pseudo-absence points
Electronic Publish Date: November 7, 2007
Last Update: June
27, 2008