• Login
  • Register
  • A Virtual Museum on the State's Fish Biodiversity

    Methodology Literature for Species Distribution Models

    Reviews of SDM literature

    Elith, J. et al., 2006. Novel methods improve prediction of species’ distributions from occurrence data. Ecography, 29(2), pp.129–151.

    Elith, J. & Leathwick, J.R., 2009. Species distribution models: ecological explanation and prediction across space and time. Annual Review of Ecology, Evolution, and Systematics, 40, pp.677–697.

    Franklin J. 2010. Mapping Species Distributions: Spatial Inference and Prediction. Cambridge, UK: Cambridge Univ. Press. 320 pages

    Guisan A, Zimmermann NE. 2000. Predictive habitat distribution models in ecology. Ecol. Model. 135:147–86

    Guisan, A. & Thuiller, W. (2005) Predicting species distribution: offering more than simple habitat models. Ecology Letters, 8, 993–1009.

    Richards CL, Carstens BC, Lacey Knowles L. 2007. Distribution modelling and statistical phylogeography: an integrative framework for generating and testing alternative biogeographical hypotheses.J. Biogeogr. 34:1833–45

    Schröder B. 2008. Challenges of species distribution modeling belowground. J. Plant Nutr. Soil Sci. 171:325–37

    Stauffer DE. 2002. Linking populations and habitats: Where have we been? Where are we going? In Predicting Species Occurrences: Issues of Accuracy and Scale, ed. JM Scott, PJ Heglund, ML Morrison, MG Raphael, WA Wall, et al., pp. 53–61.

    Sampling Bias and Species Occurrence Data

    Anderson, R.P. & Gonzalez Jr, I., 2011. Species-specific tuning increases robustness to sampling bias in models of species distributions: An implementation with Maxent. Ecological Modelling. 222(15), pp. 2796-2811

    Costa, G.C. et al., 2009. Sampling bias and the use of ecological niche modeling in conservation planning: a field evaluation in a biodiversity hotspot. Biodiversity and Conservation, 19(3), pp.883-899.

    Graham, C.H. et al., 2008. The influence of spatial errors in species occurrence data used in distribution models. Journal of Applied Ecology, 45(1), pp.239–247.

    Johnson, C.J. & Gillingham, M.P., 2008. Sensitivity of species-distribution models to error, bias, and model design: an application to resource selection functions for woodland caribou. Ecological Modelling, 213(2), pp.143–155.

    Leitão, P.J., Moreira, F. & Osborne, P.E., 2011. Effects of geographical data sampling bias on habitat models of species distributions: a case study with steppe birds in southern Portugal. International Journal of Geographical Information Science, 25(3), pp.439-454.

    Lobo, J.M., 2008. More complex distribution models or more representative data? Biodiversity Informatics, 5(0).

    Newbold, T., 2010. Applications and limitations of museum data for conservation and ecology, with particular attention to species distribution models. Progress in Physical Geography, 34(1), pp.3 -22.

    Phillips SJ, Dudik M, Elith J, Graham C, Lehmann A, et al. 2009. Sample selection bias and presence-only models of species distributions. Ecol. Appl. 19:181–97

    Phillips, S.J. & Dudík, M., 2008. Modeling of species distributions with Maxent: new extensions and a comprehensive evaluation. Ecography, 31(2), pp.161–175.

    Phillips, S.J. & Elith, J., 2010. POC plots: calibrating species distribution models with presence-only data. Ecology, 91(8), pp.2476–2484.

    Rota, C.T. et al., 2011. Does accounting for imperfect detection improve species distribution models? Ecography. 34(4) pp. 659-670.

    Veloz, S.D., 2009. Spatially autocorrelated sampling falsely inflates measures of accuracy for presence-only niche models. Journal of Biogeography (J. Biogeogr.), 36, pp.2290–2299.

    Wisz, M.S. et al., 2008. Effects of sample size on the performance of species distribution models. Diversity and Distributions, 14(5), pp.763–773.