Non‐stationarity and local approaches to modelling the distributions of wildlife

By Patrick E. Osborne, Giles M. Foody, S. Suárez‐Seoane. 2007

185 citations recorded by the source corpus.

Subfields: Ecology, Economics and Econometrics

View Paper: https://www.semanticscholar.org/paper/93dc8d6e2d58e3afabe311643ffad71c5a017f44

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Citations in the corpus

Species Distribution Modeling in the Tropics: Problems, Potentialities, and the Role of Biological Data for Effective Species Conservation (2009, methodology): “…and Jetz 2007), generalized linear mixed models (GLMM, Muñoz and Real 2006; Rhodes et al. 2006), geographically weighted regression (GWR, Osborne et al. 2007), varying coefficient modeling (VCM, Osborne et al. 2007), and Bayesian model averaging with logistic regression (Thomson et al. 2007).”
Species-specific tuning increases robustness to sampling bias in models of species distributions: An implementation with Maxent (2011, methodology): “For example, the respective areas used or calibration versus evaluation should not differ in the available nvironments or biotic contexts, and the populations in each area hould have the same inherited niche-related characteristics (espeially regarding physiology; Osborne et al., 2007; Williams and ”
Remotely sensed spectral heterogeneity as a proxy of species diversity: Recent advances and open challenges (2010, background): “Finding ecological proxies of species diversity is important for developing effective management strategies and conservation plans for natural areas at various spatial scales, whether local (e.g. Osborne et al., 2007), regional (e.g. Wohlgemuth et al., 2008) or global (e.g. Rahbek et al., 2007).”
Methods to account for spatial autocorrelation in the analysis of species distributional data : a review (2007, background): “This may or may not be very different in real data, where both non-stationarity (Ver Hoef et al. 1993, Brunsdon et al. 1996, Foody 2004, Osborne et al. 2007) and bias in parameter space (e.g. less complete data coverage in warmer regions) can be found (Lennon 2000, but see Hawkins et al. 2007 for…”
Measuring and modelling biodiversity from space (2008, methodology): “Various methods may be used to model non-stationary relationships and have been applied in the modelling of wildlife distributions from remote sensing (Foody, 2005; Osborne et al., 2007).”