Journal article
A standard protocol for reporting species distribution models
D Zurell, J Franklin, C König, PJ Bouchet, CF Dormann, J Elith, G Fandos, X Feng, G Guillera-Arroita, A Guisan, JJ Lahoz-Monfort, PJ Leitão, DS Park, AT Peterson, G Rapacciuolo, DR Schmatz, B Schröder, JM Serra-Diaz, W Thuiller, KL Yates Show all
Ecography | Published : 2020
DOI: 10.1111/ecog.04960
Abstract
Species distribution models (SDMs) constitute the most common class of models across ecology, evolution and conservation. The advent of ready-to-use software packages and increasing availability of digital geoinformation have considerably assisted the application of SDMs in the past decade, greatly enabling their broader use for informing conservation and management, and for quantifying impacts from global change. However, models must be fit for purpose, with all important aspects of their development and applications properly considered. Despite the widespread use of SDMs, standardisation and documentation of modelling protocols remain limited, which makes it hard to assess whether developm..
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Awarded by National Science Foundation
Funding Acknowledgements
DZ, CK and GF acknowledge support from the German Science Foundation (DFG, grant no. ZU 361-1/1). BS acknowledges support by the German Science Foundation (grant no. SCHR1000/6-2) and by the Volkswagenstiftung and Niedersachsisches Ministerium fur Wissenschaft und Kultur (METAPOLIS, ZN3121). BS and PJL acknowledge support by the joint BiodivERsA-project GreenFutureForest (grant no. 01LC1610A). WT was supported by the GAMBAS project funded by the French National Research Agency (ANR-18-CE02-0025). PB was partly funded by OPNAV N45 and the SURTASS LFA Settlement Agreement, being managed by the U.S. Navy's Living Marine Resources program under Contract no. N39430-17-C-1982. CM acknowledges funding from National Science Foundation grant DBI 1565046 and DBI 1661510. JF acknowledges the support of the National Science Foundation (USA) grant no 1853697. GGA and JE acknowledge support of the Australian Research Council via grant DP180101852.