Estimating uncertainty in density surface models

Autor: David L. Miller, Elizabeth A. Becker, Karin A. Forney, Jason J. Roberts, Ana Cañadas, Robert S. Schick
Jazyk: angličtina
Rok vydání: 2022
Předmět:
Zdroj: PeerJ, Vol 10, p e13950 (2022)
Druh dokumentu: article
ISSN: 2167-8359
DOI: 10.7717/peerj.13950
Popis: 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.
Databáze: Directory of Open Access Journals