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A Spatio-Temporally Explicit Random Encounter Model for Large-Scale Population Surveys
Random encounter models can be used to estimate population abundance from indirect data collected by non-invasive sampling methods, such as track counts or camera-trap data. The classical Formozov–Malyshev–Pereleshin (FMP) estimator converts track counts into an estimate of mean population density,...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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Public Library of Science
2016
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5017679/ https://www.ncbi.nlm.nih.gov/pubmed/27611683 http://dx.doi.org/10.1371/journal.pone.0162447 |