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The Scientific World Journal
Volume 2012 (2012), Article ID 428206, 10 pages
http://dx.doi.org/10.1100/2012/428206
Research Article

Applying Fuzzy Logic to Comparative Distribution Modelling: A Case Study with Two Sympatric Amphibians

1Rui Nabeiro Biodiversity Chair, Centro de Investigação em Biodiversidade e Recursos Genéticos (CIBIO), Universidade de Évora, 7004-516 Évora, Portugal
2Division of Ecology and Evolution, Imperial College London, Silwood Park Campus, Ascot SL5 7PY, UK
3Laboratorio de Biogeografía, Diversidad y Conservación, Departamento de Biología Animal, Facultad de Ciencias, Universidad de Málaga, 29071 Málaga, Spain

Received 30 October 2011; Accepted 28 December 2011

Academic Editors: M. Baguette and B. Tóthmérész

Copyright © 2012 A. Márcia Barbosa and Raimundo Real. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Linked References

  1. J. Romero and R. Real, “Macroenvironmental factors as ultimate determinants of distribution of common toad and natterjack toad in the south of Spain,” Ecography, vol. 19, no. 3, pp. 305–312, 1996. View at Google Scholar · View at Scopus
  2. J. W. Arntzen and J. Alexandrino, “Ecological modelling of genetically differentiated forms of the Iberian endemic golden-striped salamander, Chioglossa lusitanica,” Herpetological Journal, vol. 14, no. 3, pp. 137–141, 2004. View at Google Scholar · View at Scopus
  3. R. Real, A. M. Barbosa, I. Martínez-Solano, and M. García-Paris, “Distinguishing the distributions of two cryptic frogs (Anura: Discoglossidae) using molecular data and environmental modeling,” Canadian Journal of Zoology, vol. 83, no. 4, pp. 536–545, 2005. View at Publisher · View at Google Scholar · View at Scopus
  4. J. W. Arntzen and G. Espregueira Themudo, “Environmental parameters that determine species geographical range limits as a matter of time and space,” Journal of Biogeography, vol. 35, no. 7, pp. 1177–1186, 2008. View at Publisher · View at Google Scholar · View at Scopus
  5. R. Real, A. M. Barbosa, A. Rodríguez et al., “Conservation biogeography of ecologically interacting species: the case of the Iberian lynx and the European rabbit,” Diversity and Distributions, vol. 15, no. 3, pp. 390–400, 2009. View at Publisher · View at Google Scholar · View at Scopus
  6. R. Real, A. M. Barbosa, and J. M. Vargas, “Obtaining environmental favourability functions from logistic regression,” Environmental and Ecological Statistics, vol. 13, no. 2, pp. 237–245, 2006. View at Publisher · View at Google Scholar · View at Scopus
  7. A. Estrada, R. Real, and J. M. Vargas, “Using crisp and fuzzy modelling to identify favourability hotspots useful to perform gap analysis,” Biodiversity and Conservation, vol. 17, no. 4, pp. 857–871, 2008. View at Publisher · View at Google Scholar · View at Scopus
  8. A. Antunez, R. Real, and J. M. Vargas, “Biogeographical analysis of the amphibians in the southern valleys of the Betic Cordillera,” Miscellania Zoologica, vol. 12, pp. 261–272, 1988. View at Google Scholar · View at Scopus
  9. A. M. Barbosa, R. Real, and J. M. Vargas, “Use of Coarse-resolution models of species' distributions to guide local conservation inferences,” Conservation Biology, vol. 24, no. 5, pp. 1378–1387, 2010. View at Publisher · View at Google Scholar · View at Scopus
  10. A. Loureiro, N. F. de Almeida , M. A. Carretero, and O. S. Paulo, Atlas dos Anfíbios e Répteis de Portugal, Instituto da Conservação da Natureza e da Biodiversidade, Lisbon, Portugal, 2008.
  11. J. M. Pleguezuelos, R. Márquez, and M. Lizana, Atlas y Libro Rojo de los Anfibios y Reptiles de España, Dirección General de la Conservación de la Naturaleza-Asociación Herpetológica Española, Madrid, Spain, 2002.
  12. G. C. Reese, K. R. Wilson, J. A. Hoeting, and C. H. Flather, “Factors affecting species distribution predictions: a simulation modeling experiment,” Ecological Applications, vol. 15, no. 2, pp. 554–564, 2005. View at Google Scholar · View at Scopus
  13. P. Sastre, P. Roca, and J. M. Lobo, “A geoplatform for improving accessibility to environmental cartography,” Journal of Biogeography, vol. 36, p. 568, 2009. View at Google Scholar
  14. Quantum GIS Development Team, “Quantum GIS geographic information system,” Open Source Geospatial Foundation Project, http://qgis.osgeo.org/.
  15. GRASS Development Team, “Geographic Resources Analysis Support System (GRASS) Software,” Open Source Geospatial Foundation Project, http://grass.osgeo.org/.
  16. A. M. Barbosa, R. Real, J. Olivero, and J. M. Vargas, “Otter (Lutra lutra) distribution modeling at two resolution scales suited to conservation planning in the Iberian Peninsula,” Biological Conservation, vol. 114, no. 3, pp. 377–387, 2003. View at Publisher · View at Google Scholar · View at Scopus
  17. A. M. Barbosa, R. Real, and J. Mario Vargas, “Transferability of environmental favourability models in geographic space: the case of the Iberian desman (Galemys pyrenaicus) in Portugal and Spain,” Ecological Modelling, vol. 220, no. 5, pp. 747–754, 2009. View at Publisher · View at Google Scholar · View at Scopus
  18. A. M. Barbosa, R. Real, and J. M. Vargas, “Erratum to " Transferability of environmental favourability models in geographic space: the case of the Iberian desman (Galemys pyrenaicus) in Portugal and Spain" [Ecological Modelling 220, 747–754, 2009],” Ecological Modelling, vol. 222, no. 4, p. 1067, 2011. View at Publisher · View at Google Scholar
  19. Development Core Team R, “R: a language and environment for statistical computing,” R Foundation for Statistical Computing, 2009, http://www.r-project.org/.
  20. M. B. Araujo, W. Thuiller, P. H. Williams, and I. Reginster, “Downscaling European species atlas distributions to a finer resolution: implications for conservation planning,” Global Ecology and Biogeography, vol. 14, no. 1, pp. 17–30, 2005. View at Publisher · View at Google Scholar · View at Scopus
  21. L. Bulluck, E. Fleishman, C. Betrus, and R. Blair, “Spatial and temporal variations in species occurrence rate affect the accuracy of occurrence models,” Global Ecology and Biogeography, vol. 15, no. 1, pp. 27–38, 2006. View at Publisher · View at Google Scholar · View at Scopus
  22. A. Guisan and N. E. Zimmermann, “Predictive habitat distribution models in ecology,” Ecological Modelling, vol. 135, no. 2-3, pp. 147–186, 2000. View at Publisher · View at Google Scholar · View at Scopus
  23. H. Akaike, “Information theory and an extension of the maximum likelihood principle,” in Proceedings of the 2nd International Symposium on Information Theory, B. N. Petrov and F. Csaki, Eds., pp. 267–281, Akadémia Kiadó, Budapest, Hungary, 1973.
  24. K. P. Burnham and D. R. Anderson, Model Selection and Multimodel Inference: A Practical Information-Theoretic Approach, Springer, 2nd edition, 2002.
  25. M. J. Crawley, The R Book, John Wiley & Sons, Chichester, UK, 2007.
  26. A. H. Fielding and J. F. Bell, “A review of methods for the assessment of prediction errors in conservation presence/absence models,” Environmental Conservation, vol. 24, no. 1, pp. 38–49, 1997. View at Publisher · View at Google Scholar · View at Scopus
  27. J. M. Lobo, A. Jiménez-Valverde, and R. Real, “AUC: a misleading measure of the performance of predictive distribution models,” Global Ecology and Biogeography, vol. 17, no. 2, pp. 145–151, 2008. View at Publisher · View at Google Scholar · View at Scopus
  28. P. Dutilleul, “Modifying the t test for assessing the correlation between two spatial processes,” Biometrics, vol. 49, no. 1, pp. 305–314, 1993. View at Google Scholar · View at Scopus
  29. T. F. Rangel, J. A. F. Diniz-Filho, and L. M. Bini, “SAM: a comprehensive application for Spatial Analysis in Macroecology,” Ecography, vol. 33, no. 1, pp. 46–50, 2010. View at Publisher · View at Google Scholar · View at Scopus
  30. H. Visser and T. De Nijs, “The map comparison kit,” Environmental Modelling and Software, vol. 21, no. 3, pp. 346–358, 2006. View at Publisher · View at Google Scholar · View at Scopus
  31. A. Hagen-Zanker, G. Engelen, J. Hurkens, R. Vanhout, and I. Uljee, Map Comparison Kit 3 User Manual, RIKS Bv, Maastricht, The Netherlands, 2006.
  32. M. P. Robertson, M. H. Villet, and A. R. Palmer, “A fuzzy classification technique for predicting species' distributions: applications using invasive alien plants and indigenous insects,” Diversity and Distributions, vol. 10, no. 5-6, pp. 461–474, 2004. View at Publisher · View at Google Scholar · View at Scopus
  33. J. S. Cramer, “Predictive performance of the binary logit model in unbalanced samples,” Journal of the Royal Statistical Society Series D, vol. 48, no. 1, pp. 85–94, 1999. View at Google Scholar · View at Scopus
  34. L. A. Zadeh, “Fuzzy sets,” Information and Control, vol. 8, no. 3, pp. 338–353, 1965. View at Google Scholar · View at Scopus