Biodiversity Research

Fine-scale regional distribution modelling of rare and threatened species: bridging GIS Tools and conservation in practice

  1. Arnaud Lyet1,2,3,*,
  2. Wilfried Thuiller4,
  3. Marc Cheylan1,
  4. Aurélien Besnard1

Article first published online: 17 JAN 2013

DOI: 10.1111/ddi.12037

Issue

Diversity and Distributions

Diversity and Distributions

Volume 19, Issue 7, pages 651–663, July 2013

Additional Information

How to Cite

Lyet, A., Thuiller, W., Cheylan, M., Besnard, A. (2013), Fine-scale regional distribution modelling of rare and threatened species: bridging GIS Tools and conservation in practice. Diversity and Distributions, 19: 651–663. doi: 10.1111/ddi.12037

Author Information

  1. 1

    Laboratoire de Biogéographie et d'Ecologie des Vertébrés, Ecole Pratique des Hautes Etudes, Centre d'Ecologie Evolutive et Fonctionnelle, CNRS UMR 5175, Montpellier Cedex 5, France

  2. 2

    Conservatoire d'Espaces Naturels de Provence – Alpes du Sud, Aix en Provence, France

  3. 3

    World Wildlife Fund – US, Washington, DC, USA

  4. 4

    Laboratoire d'Ecologie Alpine, UMR CNRS 5553, Univ. Joseph Fourier, Grenoble Cedex 9, France

* Correspondence: Arnaud Lyet, World Wildlife Fund – US, 1250 24th Street NW, Washington, DC 20037, USA.
E-mail: Arnaud.Lyet@wwfus.org

Publication History

  1. Issue published online: 13 JUN 2013
  2. Article first published online: 17 JAN 2013

Funded by

  • European Commission
  • French Ministry of the Environment. Grant Numbers: NAT/F/000143, 066866 GOCE
  • ANR DIVERSITALP. Grant Number: 2007-BDIV-014

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Appendix S1. Additional methodological information about data collection, habitat variable selection, data analysis and impact of forest management.

Appendix S2. Relationship between factors used in the multimodel inference and geographic database sources.

Appendix S3. Detail of the field survey effort throughout the study area.

Appendix S4. Analysis of residuals from the multimodel inference.

ddi12037-sup-0002-TableS1.docxWord document25KTable S1. Habitat cover classification used to build the land cover factor.
ddi12037-sup-0003-TableS2.docxWord document19KTable S2. Detail of sampling effort per mountain between 1994 and 2008.
ddi12037-sup-0004-FigS1.docxWord document219KFigure S1. Distribution of the survey throughout the study area between 1994 and 2008.
ddi12037-sup-0005-FigS2.docxWord document297KFigure S2. Spatial distribution of the residuals from the multimodel inference.
ddi12037-sup-0006-FigS3.docxWord document53KFigure S3. Boxplot of the residuals from the multimodel inference approach for the 100 presence points used to calibrate the models and grouped by mountain.
ddi12037-sup-0007-FigS1.jpgimage/jpg1445K 
ddi12037-sup-0008-FigS2.jpgimage/jpg1774K 
ddi12037-sup-0009-FigS3.pdfapplication/PDF5K 
ddi12037-sup-0010-legends.docxapplication/PDF22K 

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