Results 151 to 160 of about 23,163 (285)
Techniques for fine resolution MaxEnt image analysis
, 1997 The Maximum Entropy Method (MaxEnt) is a Bayesian technique for the reconstruction of images from imperfect or noisy data. The development of MaxEnt is discussed.
Gresham, David
core +1 more source
Ecology and Evolution, Volume 16, Issue 9, September 2026.Using a national 800‐grid framework, we classified vegetation–climate zones in South Korea into ecotone and core areas based on threshold values derived from zonal statistics. We then integrated species occurrence, climate, topography, and ecosystem service variables to compare biodiversity and ecological characteristics among these zones.
Byeong‐Joo Park +2 more
wiley +1 more source
MaxEnt alternatives to pearson family distributions
In a previous MaxEnt conference [11] a method of obtaining MaxEnt univariate distributions under a variety of constraints was presented. The Mathematica function Interpolation [], normally used with numerical data, can also process "semi-symbolic" data ...
Barrie J. Stokes (21291623)
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Ecology and Evolution, Volume 16, Issue 9, September 2026.We employed maximum entropy species distribution modeling to assess current and future suitable habitat for Tetramorium caldarium, a pantropical invasive ant species, using 346 occurrence records and bioclimatic variables projected under two climate scenarios (RCP 2.6 and RCP 8.5) for 2050 and 2070. The model demonstrated excellent performance (AUC = 0.
Mohamed Nasser +8 more
wiley +1 more source
Ecology and Evolution, Volume 16, Issue 9, September 2026.We investigated niche divergence among Aegla clades of freshwater crustaceans from southern South America. Results show distinct climatic preferences with low overlap, rejecting conservatism and linking ecology to diversification, highlighting niche divergence driving freshwater biodiversity.
Gislaine Puli +4 more
wiley +1 more source
Interaction Effects Do Not Consistently Improve the Transferability of Species Distribution Models
Ecology and Evolution, Volume 16, Issue 9, September 2026.Species distribution models (SDMs) are a widely used tool in ecology, macroecology, biogeography and conservation biology. We provide the first systematic evaluation of how the incorporation of predictor interactions in SDMs affects their transferability across a wide range of taxa and regions.
Duarte S. Viana +2 more
wiley +1 more source
A Hybrid MaxEnt/HMM based ASR System
, 2005 The aim of this work is to develop a practical framework, which extends the classical Hidden Markov Models (HMM) for continuous speech recognition based on the Maximum Entropy (MaxEnt) principle. The MaxEnt models can estimate the posterior probabilities
Yasser Hifny +2 more
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Ecography, Volume 2026, Issue 9, September 2026.The Pan‐Himalayan region harbors exceptional biodiversity, yet the origins and underlying mechanisms driving this remarkable diversity remain poorly understood, especially among species‐rich invertebrates. Pimoa spiders exhibit an intercontinental disjunct distribution across three major mountain regions: the Rockies, the Alps, and the Pan‐Himalaya ...
Xiaoqing Zhang +9 more
wiley +1 more source
Metsanduslikud UurimusedClimate change poses significant challenges to the survival of ecologically and economically important tree species. This study uses species distribution modelling to assess the current and future potential habitats of Afzelia africana and Pterocarpus ...
Tessi Donald Romaric Yehouenou +2 more
doaj +1 more source