Estimating uncertainty in density surface models.
PeerJ
; 10: e13950, 2022.
Article
em En
| MEDLINE
| ID: mdl-36032955
ABSTRACT
Providing uncertainty estimates for predictions derived from species distribution models is essential for management but there is little guidance on potential sources of uncertainty in predictions and how best to combine these. Here we show where uncertainty can arise in density surface models (a multi-stage spatial modelling approach for distance sampling data), focussing on cetacean density modelling. We propose an extensible, modular, hybrid analytical-simulation approach to encapsulate these sources. We provide example analyses of fin whales Balaenoptera physalus in the California Current Ecosystem.
Palavras-chave
Texto completo:
1
Coleções:
01-internacional
Base de dados:
MEDLINE
Assunto principal:
Ecossistema
/
Baleia Comum
Tipo de estudo:
Prognostic_studies
Limite:
Animals
Idioma:
En
Revista:
PeerJ
Ano de publicação:
2022
Tipo de documento:
Article
País de afiliação:
Reino Unido