Estimating uncertainty in density surface models
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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.
Miller , D L , Becker , E A , Forney , K A , Roberts , J J , Cañadas , A & Schick , R S 2022 , ' Estimating uncertainty in density surface models ' , PeerJ , vol. 10 , e13950 . https://doi.org/10.7717/peerj.13950
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DescriptionThis work was funded by OPNAV N45 and the SURTASS LFA Settlement Agreement, and being managed by the U.S. Navy’s Living Marine Resources program under Contract No. N39430-17-C-1982.
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