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Species distribution models are increasing in popularity for mapping suitable habitat for species of management concern. Many investigators now recognize that extrapolations of these models ...
. Materials and methods Maximum entropy model Consider a region with geographic divisions given by X = {x1, x2, …, xn}. Suppose some species lives in the region, and the fraction of the species that lives ...
composite maximum entropy models . The composite models either subdivided the total species distribution into four geographic quadrants or by fifteen subspecies to capture spatially relevant variation in P ...
with the software Maximum Entropy Species Distribution Modeling (MaxEnt), Version 3.4.4, which uses machine learning algorithms and applies the maximum entropy method. The choice of predictors ...
The models predicting the spatial distribution of species can simulate the suitability of species habitats on different spatial scales, based on species records and site characteristics to gain ...
Habitat suitability models are useful tools for a variety of wildlife management objectives. Distributions of wildlife species can be predicted for geographical areas that have not been extensively ...
DIVA-GIS’ Bioclim ecological model and maximum information entropy model Maxent software to estimate the potential distribution areas of various Citrus species . The results show that the Citrus genus ...
work aimed to investigate the potential distribution of D. suzukii on Madeira Island to better understand the limits of its geographical distribution on the island using the Maximum Entropy modeling ...
The knowledge of the geographical distribution and habitat preferences of marine species is the key to protecting marine ecosystems. Modeling the distribution of marine species through environmental ...
and the distribution sites of wild Morchella species , this study used a maximum entropy (MaxEnt) model to predict the changes in the geographic distribution of Morchella species in different historical periods (the Last ...
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