FN Archimer Export Format
PT J
TI A quantitative review of abundance‐based species distribution models
BT 
AF Waldock, Conor
   Stuart‐Smith, Rick D.
   ALBOUY, Camille
   Cheung, William W. L.
   Edgar, Graham J.
   Mouillot, David
   Tjiputra, Jerry
   Pellissier, Loïc
AS 1:1,2;2:3;3:4;4:5;5:3;6:6;7:7;8:1,2;
FF 1:;2:;3:PDG-RBE-HALGO-EMH;4:;5:;6:;7:;8:;
C1 Landscape Ecology, Inst. of Terrestrial Ecosystems, ETH Zürich Zürich, Switzerland
   Swiss Federal Research Inst. WSL Birmensdorf, Switzerland
   Inst. for Marine and Antarctic Studies, Univ. of Tasmania Hobart TAS, Australia
   IFREMER, Unité Écologie et Modèles pour l'Halieutique Nantes, France
   Inst. for the Oceans and Fisheries, Univ. of British Columbia Vancouver BC ,Canada
   MARBEC, Univ. de Montpellier, CNRS, Ifremer, IRD Montpellier ,France
   NORCE Climate, Bjerknes Centre for Climate Research Bergen ,Norway
C2 ETH ZURICH, SWITZERLAND
   WSL, SWITZERLAND
   UNIV TASMANIA, AUSTRALIA
   IFREMER, FRANCE
   UNIV BRITISH COLUMBIA, CANADA
   UNIV MONTPELLIER, FRANCE
   NORCE CLIMATE, NORWAY
SI NANTES
SE PDG-RBE-HALGO-EMH
UM MARBEC
   DECOD
IN WOS Ifremer UMR
   WOS Cotutelle UMR
   DOAJ
   copubli-france
   copubli-europe
   copubli-univ-france
   copubli-int-hors-europe
IF 5.9
TC 37
UR https://archimer.ifremer.fr/doc/00740/85251/90285.pdf
   https://archimer.ifremer.fr/doc/00740/85251/90286.docx
LA English
DT Article
DE ;abundance-based species distribution model;biodiversity modelling;population density;random forest;species abundance model;species distribution model;systematic conservation planning
AB The contributions of species to ecosystem functions or services depend not only on their presence but also on their local abundance. Progress in predictive spatial modelling has largely focused on species occurrence rather than abundance. As such, limited guidance exists on the most reliable methods to explain and predict spatial variation in abundance. We analysed the performance of 68 abundance-based species distribution models fitted to 800 000 standardised abundance records for more than 800 terrestrial bird and reef fish species. We found a large amount of variation in the performance of abundance-based models. While many models performed poorly, a subset of models consistently reconstructed range-wide abundance patterns. The best predictions were obtained using random forests for frequently encountered and abundant species and for predictions within the same environmental domain as model calibration. Extending predictions of species abundance outside of the environmental conditions used in model training generated poor predictions. Thus, interpolation of abundances between observations can help improve understanding of spatial abundance patterns, but our results indicate extrapolated predictions of abundance under changing climate have a much greater uncertainty. Our synthesis provides a road map for modelling abundance patterns, a key property of species distributions that underpins theoretical and applied questions in ecology and conservation. 
PY 2022
PD JAN
SO Ecography
SN 0906-7590
PU Wiley
VL 2022
IS 1
UT 000730509300001
DI 10.1111/ecog.05694
ID 85251
ER

EF