Nondetection sampling bias in marked presence-only data.

ABSTRACT: Species distribution models (SDM) are tools used to determine environmental features that influence the geographic distribution of species' abundance and have been used to analyze presence-only records. Analysis of presence-only records may require correction for nondetection sampling bias to yield reliable conclusions. In addition, individuals of some species of animals may be highly aggregated and standard SDMs ignore environmental features that may influence aggregation behavior.We contend that nondetection sampling bias can be treated as missing data. Statistical theory and corrective methods are well developed for missing data, but have been ignored in the literature on SDMs. We developed a marked inhomogeneous Poisson point process model that accounted for nondetection and aggregatio

SUBMITTER: Hefley TJ 

PROVIDER: S-EPMC3892331 | biostudies-literature | 2013 Dec

REPOSITORIES: biostudies-literature