Amount and Type of Forest Cover and Edge are Important Predictors of Golden-Cheeked Warbler Density

The condor

Rebecca G. Peak¹ 

关键词: abundance;    density;    detection probability;    distance sampling;    habitat variables;    landscape variables;    Setophaga chrysoparia;   

DOI  :  10.1525/cond.2013.120043

学科分类：动物科学

来源: Central Ornithology Publication Office

【 摘 要 】

Abstract. Considered endangered by the U.S. Fish and Wildlife Service, the Golden-cheeked Warbler (Setophaga chrysoparia) breeds exclusively in the juniper-oak (Juniperus ashei-Quercus spp.) woodlands of central Texas. Large-scale, spatially explicit models that predict population density as a function of habitat and landscape variables can provide important insight for its management and recovery. We used distance sampling to model detection probability and to estimate the density and abundance of singing male Golden-cheeked Warblers on Fort Hood Military Reservation. We used an information-theoretic approach to evaluate hypotheses concerning the effects of proportion of forest type and forest cover, forest-edge density, and patch size on density. We fitted generalized linear models with detection probability as an offset term to predict density as a function of the habitat and landscape variables, calculate a model-based density and abundance estimate, and map density across the area sampled. The design...

【 授权许可】

CC BY