(Article of periodic en Anglais - 2014)

Document title

Very high resolution environmental predictors in species distribution models : Moving beyond topography?

Authors(s) and Affiliation(s)

PRADERVAND J.-N. (1) ; DUBUIS A. (1) ; PELLISSIER L. (2) ; GUISAN A. (1) ; RANDIN C. (3) ;
(1) Univ., Lausanne, SUISSE
(2) Univ., Aarhus, DANEMARK
(3) Botanisches Inst. der Univ., Basel, SUISSE


In this study, the AA. tested the influence, in species distribution models (SDMs), of predictors derived from a very high resolution (VHR) digital elevation model (DEM) by comparing the predictive power of models for 239 plant species and their assemblages fitted at 6 different resolutions in the Swiss Alps. They also tested whether changes of the model quality for a species is related to its functional and ecological characteristics. The results suggest that improving resolution of topographic data only is not sufficient to improve SDM predictions – and therefore local management – compared to previously used resolutions (here 25 and 100 m). More effort should be dedicated now to conduct finer-scale in-situ environmental measurements (e.g. for temperature, moisture, snow) to obtain improved environmental measurements for fine-scale species mapping and management


Article of periodic

published at : Progress in physical geography / ISSN 0309-1333 / CODEN PPGEEC

Editor : Sage Publications, London - ROYAUME-UNI (1977)

Millesime : 2014, vol. 38, no1 [pp. 79-96]

Bibliographic references : 2 p.

Collation : 6 fig., 5 tabl.



INIST-CNRS, Cote INIST : 14648 A

Digital Object Identifier

Go to electronic document thanks to its DOI : doi:10.1177/0309133313512667

Tous droits réservés © Prodig - Bibliographie Géographique Internationale (BGI), 2014
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