Species distribution modeling of northern sea otters (

Enhydra lutris kenyoni MaxEnt data‐limited habitat mapping sea otter species distribution modeling

Journal

Ecology and evolution
ISSN: 2045-7758
Titre abrégé: Ecol Evol
Pays: England
ID NLM: 101566408

Informations de publication

Date de publication:
Mar 2024
Historique:
received: 19 07 2023
revised: 16 02 2024
accepted: 22 02 2024
medline: 8 3 2024
pubmed: 8 3 2024
entrez: 8 3 2024
Statut: epublish

Résumé

Species distribution models (SDMs) are used to map and predict the geographic distributions of animals based on environmental covariates. Typically, SDMs require high-resolution habitat data and time series information on animal locations. For data-limited regions, defined as having scarce habitat or animal survey data, modeling is more challenging, often failing to incorporate important environmental attributes. For example, for sea otters (

Identifiants

pubmed: 38455143
doi: 10.1002/ece3.11118
pii: ECE311118
pmc: PMC10920031
doi:

Types de publication

Journal Article

Langues

eng

Pagination

e11118

Informations de copyright

© 2024 The Authors. Ecology and Evolution published by John Wiley & Sons Ltd.

Déclaration de conflit d'intérêts

We have no competing interests to declare.

Auteurs

Elizabeth L Hasan (EL)

College of Fisheries and Ocean Sciences University of Alaska Fairbanks Fairbanks Alaska USA.

Kristen B Gorman (KB)

College of Fisheries and Ocean Sciences University of Alaska Fairbanks Fairbanks Alaska USA.

Heather A Coletti (HA)

National Park Service, Southwest Alaska Inventory and Monitoring Network Anchorage Alaska USA.

Brenda Konar (B)

College of Fisheries and Ocean Sciences University of Alaska Fairbanks Fairbanks Alaska USA.

Classifications MeSH