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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,...
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| Publicado no: | PLoS One |
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| Main Authors: | , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Public Library of Science
2016
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5017679/ https://ncbi.nlm.nih.gov/pubmed/27611683 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pone.0162447 |
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