Estimating uncertainty in density surface models

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 mu...

Full description

Bibliographic Details
Main Authors: David L. Miller, Elizabeth A. Becker, Karin A. Forney, Jason J. Roberts, Ana Cañadas, Robert S. Schick
Format: Article
Language:English
Published: PeerJ Inc. 2022-08-01
Series:PeerJ
Subjects:
Online Access:https://peerj.com/articles/13950.pdf
_version_ 1797413070167867392
author David L. Miller
Elizabeth A. Becker
Karin A. Forney
Jason J. Roberts
Ana Cañadas
Robert S. Schick
author_facet David L. Miller
Elizabeth A. Becker
Karin A. Forney
Jason J. Roberts
Ana Cañadas
Robert S. Schick
author_sort David L. Miller
collection DOAJ
description 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.
first_indexed 2024-03-09T05:12:15Z
format Article
id doaj.art-b7af2697e3c346c9a671a56d49254c35
institution Directory Open Access Journal
issn 2167-8359
language English
last_indexed 2024-03-09T05:12:15Z
publishDate 2022-08-01
publisher PeerJ Inc.
record_format Article
series PeerJ
spelling doaj.art-b7af2697e3c346c9a671a56d49254c352023-12-03T12:48:39ZengPeerJ Inc.PeerJ2167-83592022-08-0110e1395010.7717/peerj.13950Estimating uncertainty in density surface modelsDavid L. Miller0Elizabeth A. Becker1Karin A. Forney2Jason J. Roberts3Ana Cañadas4Robert S. Schick5Centre for Research into Ecological & Environmental Modelling and School of Mathematics & Statistics, University of St Andrews, St Andrews, Fife, ScotlandOcean Associates, Inc. under contract to Marine Mammal and Turtle Division, Southwest Fisheries Science Center National Marine Fisheries Service, National Oceanic and Atmospheric Administration, La Jolla, CA, United States of AmericaMarine Mammal and Turtle Division, Southwest Fisheries Science Center, National Marine Fisheries Service, National Oceanic and Atmospheric Administration, Moss Landing, CA, United States of AmericaMarine Geospatial Ecology Laboratory, Nicholas School of the Environment, Duke University, Durham, NC, United States of AmericaMarine Geospatial Ecology Laboratory, Nicholas School of the Environment, Duke University, Durham, NC, United States of AmericaMarine Geospatial Ecology Laboratory, Nicholas School of the Environment, Duke University, Durham, NC, United States of AmericaProviding 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.https://peerj.com/articles/13950.pdfDensity surface modelsDistance samplingUncertainty quantificationSpatial modellingSpecies distribution modellingModel uncertainty
spellingShingle David L. Miller
Elizabeth A. Becker
Karin A. Forney
Jason J. Roberts
Ana Cañadas
Robert S. Schick
Estimating uncertainty in density surface models
PeerJ
Density surface models
Distance sampling
Uncertainty quantification
Spatial modelling
Species distribution modelling
Model uncertainty
title Estimating uncertainty in density surface models
title_full Estimating uncertainty in density surface models
title_fullStr Estimating uncertainty in density surface models
title_full_unstemmed Estimating uncertainty in density surface models
title_short Estimating uncertainty in density surface models
title_sort estimating uncertainty in density surface models
topic Density surface models
Distance sampling
Uncertainty quantification
Spatial modelling
Species distribution modelling
Model uncertainty
url https://peerj.com/articles/13950.pdf
work_keys_str_mv AT davidlmiller estimatinguncertaintyindensitysurfacemodels
AT elizabethabecker estimatinguncertaintyindensitysurfacemodels
AT karinaforney estimatinguncertaintyindensitysurfacemodels
AT jasonjroberts estimatinguncertaintyindensitysurfacemodels
AT anacanadas estimatinguncertaintyindensitysurfacemodels
AT robertsschick estimatinguncertaintyindensitysurfacemodels