We test a new species distribution modelling (SDM) framework, while comparing results to more common distribution modelling techniques. This framework allows for the combination of presence‐only (PO) and presence‐absence (PA) data and accounts for imperfect detection and spatial bias in presence data. The new framework tested here is based on a Poisson point process model, which allows for predictions of population size. We compared these estimates to those provided by experts on the species.
Using a novel model approach to assess the distribution and conservation status of the endangered Baird's tapir
C. Schank,M. Cove,M. Kelly,E. Mendoza,Georgina O'Farrill,R. Reyna-Hurtado,Ninon F. V. Meyer,Christopher A. Jordan,José F. González-Maya,D. Lizcano,R. Moreno,Michael T. Dobbins,Víctor H. Montalvo,Carolina Sáenz‐Bolaños,E. Jiménez,N. Estrada,J. Díaz,J. Sáenz,Manuel Spínola,A. Carver,J. L. Fort,C. Nielsen,F. Botello,Gilberto Pozo Montuy,Marina Rivero,J. A. Torre,Esteban BRENES-MORA,Oscar Godínez-Gómez,Margot A. Wood,J. Gilbert,Jennifer A. Miller
Published 2017 in Diversity and Distributions
ABSTRACT
PUBLICATION RECORD
- Publication year
2017
- Venue
Diversity and Distributions
- Publication date
2017-09-18
- Fields of study
Biology, Mathematics, Environmental Science
- Identifiers
- External record
- Source metadata
Semantic Scholar
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