Evaluating models to assess the distribution of Buxus balearica in southern Spain

Applied Vegetation Science

Volumn 14, Issue 2, 2011, Pages 256-267

  Navarro Cerrillo, R M ^a   Hernandez Bermejo J E ^a   Hernandez Clemente R ^a  

^a UNIVERSITY OF CÓRDOBA   (Spain)

Author keywords

Environmental gradient; Habitat distribution model; Mediterranean shrubs

Indexed keywords

BUXUS; BUXUS BALEARICA;

EID: 79952076227     PISSN: 14022001     EISSN: 1654109X     Source Type: Journal    
DOI: 10.1111/j.1654-109X.2010.01112.x     Document Type: Article

References (42)

1. Allouche, O., Tsoar, A. & Kadmon, R. 2006. Assessing the accuracy of species distribution models: prevalence, kappa and the true skill statistic (TSS). Journal of Applied Ecology 43: 1223-1232.
2. Anderson, R.P., Lew, D. & Peterson, A.T. 2003. 'Evaluating predictive models of species' distributions: criteria for selecting optimal models. Ecological Modelling 162: 211-232.
3. Araújo, M.B. & Williams, P.H. 2000. Selecting areas for species persistence using occurrence data. Biological Conservation 96: 331-345.
4. Araújo, M.B., Pearson, R.G., Thuiller, W. & Erhard, M. 2005. Validation of species-climate impact models under climate change. Global Change Biology 11: 1504-1513.
5. Austin, M. 2007. Species distribution models and ecological theory: a critical assessment and some possible new approaches. Ecological Modelling 1-2: 1-19.
6. Beaumont, L.J., Hughes, L. & Poulsen, M. 2005. Predicting species distributions: use of climatic parameters in BIOCLIM and its impact on predictions of species' current and future distributions. Ecological Modelling 2: 251-270.
7. Blanca, G. (Ed.) 1999. Libro Rojo de la flora silvestre amenazada de Andalucía. Tomo I: especies en peligro de extinción. Consejería de Medio Ambiente, Junta de Andalucía, Sevilla, ES.
8. Cumming, G.S. 2000. Using between-model comparisons to fine-tune linear models of species ranges. Journal of Biogeography 27: 441-455.
9. Elith, J., Graham, C.H., Anderson, R.P., Dudik, M., Ferrier, S., Guisan, A., Hijmans, R.J., Huettmann, F., Leathwick, J.R., Lehmann, A., Li, J., Lohmann, L.G., Loiselle, B.A., Manion, G., Moritz, C., Nakamura, M., Nakazawa, Y., Overton, J.Mc.C., Peterson, A.T., Phillips, S.J., Richardson, K.S., Scachetti-Pereira, R., Schapire, R.E., Soberón, J., Williams, S., Wisz, M.S. & Zimmermann, N.E. 2006. Novel methods improve prediction of species' distributions from occurrence data. Ecography 29: 129-151.
10. Feldmeyer-Christe, E., Ecker, K., Küchler, M., Graf, U. & Waser, L. 2007. Improving predictive mapping in Swiss mire ecosystems through re-calibration of indicator values. Applied Vegetation Science 10: 183-192.
11. Felicísimo, A.M., Francés, E., Fernández, J.M., González-Díez, A. & Varas, J. 2002. Modeling the potential distribution of forests with a GIS. Photogrammetric Engineering & Remote Sensing 5: 455-461.
12. Friedman, J.H. 1991. Multivariate adaptive regression splines. Annals of Statistics 19: 1-141.
13. Graham, C.H. & Hijmans, R.J. 2006. A comparison of methods for mapping species ranges and species richness. Global Ecology and Biogeography 15: 578-587.
14. Guisan, A. & Zimmermann, N.E. 2000. Predictive habitat distribution models in ecology. Ecological Modelling 135: 147-186.
15. Guisan, A., Zimmermann, N.E, Elith, J., Graham, C.H., Phillips, S. & Peterson, A.T. 2007. What matters for predicting spatial distributions of trees: techniques, data, or species' characteristics? Ecological Monographs 4: 615-630.
16. Hirzel, A.H., Hausser, J., Chessel, D. & Perrin, N. 2002. Ecological-niche factor analysis: how to compute habitat-suitability maps without absence data? Ecology 83: 2027-2036.
17. Hoffman, J., Aguilar-Amuchastegui, N. & Tyre, A. 2010. Use of simulated data from a process-based habitat model to evaluate methods for predicting species occurrence. Ecography 33: 656-666.
18. Jeschke, J.M. & Strayer, D.L. 2008. Usefulness of bioclimatic models for studying climate change and invasive species. Annals of the New York Academy of Sciences 1134: 1-24.
19. Kohavi, R. & Provost, F. 1998. Glossary of terms. Editorial for the special issue on application of machine learning and the knowledge of discovery process. Machine Learning 30: 271-274.
20. Lazaro, A., Traveset, A. & Castillo, A. 2006. Spatial concordance at a regional scale in the regeneration process of a circum-Mediterranean relict (B. balearica): connecting seed dispersal to seedling establishment. Ecography 29: 683-696.
21. Liu, C., Berry, P.M., Dawson T, P. & Pearson, R.G. 2005. Selecting thresholds of occurrence in the prediction of species. Ecography 28: 385-393.
22. Leathwick, J.R. & Whitehead, D. 2001. Soil and atmospheric water deficits, and the distributions of New Zealand's indigenous tree species. Functional Ecology 15: 233-242.
23. Matsui, T., Takahashi, K., Tanaka, N., Hijioka, Y., Horikawa, M., Yagihashi, T. & Harasawa, H. 2009. Evaluation of habitat sustainability and vulnerability for beech (Fagus crenata) forests under 110 hypothetical climatic change scenarios in Japan. Applied Vegetation Science 12: 328-339.
24. Muñoz, J. & Felicísimo, A.M. 2004. Comparison of statistical methods commonly used in predictive modelling. Journal of Vegetation Science 15: 285-292.
25. Navarro Cerrillo, R.M., Lara Fernández, A., Blanco Oyonarte, P., Calzado Martínez, C., López Quintanilla, J., Fernández Cancio, A., Guzmán Álvarez, J.R. & Sánchez Salguero, R. 2006. Aproximación a la definición del hábitat fisiográfico del Abies pinsapo Boiss. en Andalucía. Investigación Agraria Sistemas y Recursos Forestales. Fuera de serie, 137-152.
26. Pape, M. & Gaubert, P. 2007. Modelling ecological niches from low numbers of occurrences: assessment of the conservation status of poorly known viverrids (Mammalia, Carnivora) across two continents. Diversity and Distributions 13: 890-902.
27. Peterson, A.T. 2006. Uses and requirements of ecological niche models and related distributional models. Biodiversity Informatics 3: 59-72.
28. Phillips, S.J. 2006. Maxent software for species habitat modelling, ver. 2.2.0. (accessed 15 June 2009)
29. Phillips, S.J. & Dubik, M. 2008. Modelling of species distributions with Maxent: new extensions and a comprehensive evaluation. Ecography 31: 161-175.
30. Phillips, S.J., Anderson, R.P. & Schapire, R.E. 2006. Maximum entropy modelling of species geographic distributions. Ecological Modelling 190: 231-259.
31. Rogers, D.J., Hay, S.I. & Packer, M.J. 1996. Predicting the distribution of tsetse flies in West Africa using temporal Fourier processed meteorological satellite data. Annals of Tropical Medicine and Parasitology 3: 25-241.
32. Segurado, P. & Araujo, M. 2004. An evaluation of methods for modelling species distributions. Journal of Biogeography 31: 1555-1568.
33. Soberón, J. & Peterson, A.T. 2005. Interpretation of models of fundamental ecological niches and species' distributional areas. Biodiversity Informatics 2: 1-10.
34. Solano, E. & Feria, T.P. 2007. Ecological niche modelling and geographic distribution of the genus Polianthes L. (Agavaceae) in Mexico: using niche modelling to improve assessments of risk status. Biodiversity Conservation 16: 1885-1900.
35. Stockwell, D.R.B. & Noble, I.R. 1992. Induction of sets of rules from animal distribution data: a robust and informative method of analysis. Mathematics and Computers in Simulation 33: 385-390.
36. Stockwell, D.R.B. & Peterson, A.T. 2002. Effects of sample size on accuracy of species distribution models. Ecological Modelling 148: 1-13.
37. Theurillat, J.P. & Guisan, A. 2001. Potential impact of climate change on vegetation in the European Alps: a review. Climatic Change 50: 77-109.
38. Thomas, C.D., Williams, S.E., Cameron, A., Green, R.E., Bakkenes, M., Beaumont, L.J., Collingham, Y.C., Erasmus, B.F.N., De Siqueira, M.F., Grainger, A., Hannah, L., Hughes, L., Huntley, B., Van Jaarsveld, A.S., Midgley, G.F., Miles, L., Ortega-Huerta, M.A., Peterson, A.T. & Phillips, O.L. 2004. Biodiversity conservation: uncertainty in predictions of extinction risk/effects of changes in climate and land use/climate change and extinction risk. Nature 430: 6995.
39. Thuiller, W. 2004. Patterns and uncertainties of species' range shifts under climate change. Global Change Biology 10: 2020-2027.
40. Thuiller, W., Araújo, M.B. & Lavorel, S. 2004. Do we need land-cover data to model species distributions in Europe? Journal of Biogeography 31: 353-361.
41. Vapnik, V. 2000. The nature of statistical learning theory. 2nd ed. Springer-Verlag, New York.
42. Yll, E.I., Perez-Obiol, R., Pantaleon-Cano, J. & Roure, J.M. 1997. Palynological evidence of climatic change and human activity during the Holocene on Minorca (Balearic Islands). Quaternary Research 3: 339-347.