Estimating the movements of terrestrial animal populations using broad-scale occurrence data

As human and automated sensor networks collect increasingly massive volumes of animal observations, new opportunities have arisen to use these data to infer or track species movements. Sources of broad scale occurrence datasets include crowdsourced databases, such as eBird and iNaturalist, weather s...

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Detalles Bibliográficos
Autores principales: Supp, Sarah R., Bohrer, Gil, Fieberg, John, La Sorte, Frank A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Review
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8665594/
https://www.ncbi.nlm.nih.gov/pubmed/34895345
http://dx.doi.org/10.1186/s40462-021-00294-2

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8665594/
https://www.ncbi.nlm.nih.gov/pubmed/34895345
http://dx.doi.org/10.1186/s40462-021-00294-2

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