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Resource-based predictive modeling of species occurrence has strong application in wildlife management because it provides information on the relationship between animals and landscape features, and it offers spatially explicit guidance in identifying critical habitat throughout large areas (Johnson et al. 2004; Guisan and Thuiller 2005).
To model the spatial distribution of WNV infections in humans across Orange County and to identify the associated environmental or economic variables, we used Maxent (Version 3.1.0), a machine learning algorithm, which has previously been used for modeling of species distributions [55].
Understanding ecological diversity in a phylogenetic context is critical because the assumption that there is a close relationship between ecological and evolutionary similarity is at the foundation of a wide range of biodiversity research, including ecological niche modeling of species ranges in the future [1], [2], [18].
Effective modeling of species with overlapping generations should include accurate information on population age structure (Hancock et al. 2011).
Increasing availability of high-resolution temporal and spatial paleoclimatic data have greatly aided and improved fine-scale modeling of species' historical geographic movements.
To this end, we suggested a framework that includes the modeling of species distributions and corresponding environmentally associated intraspecific variation using population-level genetic and phenotypic variation and the subsequent integration of the resulting models with species-level information and socio-economic data to finalize prioritization (Thomassen et al. 2010).
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This hypothesis became known as the "blitzkrieg model" of species extinction.
Clearly the author feels that conservationists are exploiting new models of species delimitation, but that is beyond the control or intent of the taxonomists; there is no basis to claim that taxonomists are guilty of the same offense.
Logistic regression models of species distributions were constructed.
Therefore, the models of species without delays are approximate at best.
A model of species and particulate formation in laminar diffusion flames is presented.
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