Random encounter model is a reliable method for estimating population density of multiple species using camera traps

Author:

Palencia Pablo1ORCID,Barroso Patricia1ORCID,Vicente Joaquín1ORCID,Hofmeester Tim R.2ORCID,Ferreres Javier1,Acevedo Pelayo1ORCID

Affiliation:

1. Instituto de Investigación en Recursos Cinegéticos (IREC) CSIC‐UCLM‐JCCM C/Ronda de Toledo 12 13071 Ciudad Real Spain

2. Department of Wildlife, Fish, and Environmental Studies Swedish University of Agricultural Sciences SE‐90183 Umeå Sweden

Funder

Ministerio de Ciencia e Innovación

Ministerio de Economía y Competitividad

Publisher

Wiley

Subject

Nature and Landscape Conservation,Computers in Earth Sciences,Ecology,Ecology, Evolution, Behavior and Systematics

Reference63 articles.

1. Pine marten density in lowland riparian woods: A test of the Random Encounter Model based on genetic data

2. Ignoring uncertainty in predictor variables leads to false confidence in results: a case study of duck habitat use

3. Bolker B.(2019).emdbook: Ecological Models and Data in R; R package version 1.3.12. Available from:https://cran.microsoft.com/snapshot/2022‐02‐14/web/packages/emdbook/index.html

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