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Hierarchical species distribution models

June 1, 2016

Determining the distribution pattern of a species is important to increase scientific knowledge, inform management decisions, and conserve biodiversity. To infer spatial and temporal patterns, species distribution models have been developed for use with many sampling designs and types of data. Recently, it has been shown that count, presence-absence, and presence-only data can be conceptualized as arising from a point process distribution. Therefore, it is important to understand properties of the point process distribution. We examine how the hierarchical species distribution modeling framework has been used to incorporate a wide array of regression and theory-based components while accounting for the data collection process and making use of auxiliary information. The hierarchical modeling framework allows us to demonstrate how several commonly used species distribution models can be derived from the point process distribution, highlight areas of potential overlap between different models, and suggest areas where further research is needed.

Citation Information

Publication Year 2016
Title Hierarchical species distribution models
DOI 10.1007/s40823-016-0008-7
Authors Trevor J. Hefley, Mevin Hooten
Publication Type Article
Publication Subtype Journal Article
Series Title Current Landscape Ecology Reports
Series Number
Index ID 70192617
Record Source USGS Publications Warehouse
USGS Organization Coop Res Unit Seattle

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