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Species distribution modelling using MaxEnt: overview and prospects

open access: yesTheriologia Ukrainica
Niche modeling of species has become increasingly important in the context of accelerating climate change and anthropogenic impacts on the biosphere. One such tool for predicting the potential distribution of species is the maximum entropy method (MaxEnt)
Yuliia Novoseltseva
doaj   +2 more sources

On a Robust MaxEnt Process Regression Model with Sample-Selection [PDF]

open access: yesEntropy, 2018
In a regression analysis, a sample-selection bias arises when a dependent variable is partially observed as a result of the sample selection. This study introduces a Maximum Entropy (MaxEnt) process regression model that assumes a MaxEnt prior ...
Hea-Jung Kim, Mihyang Bae, Daehwa Jin
doaj   +3 more sources

Habitat Suitability of Danaus genutia Based on the Optimized MaxEnt Model. [PDF]

open access: yesInsects
Danaus genutia, commonly known as the tiger butterfly, is a visually appealing species in the Danaidae family. As it is not currently classified as endangered, it is excluded from key protected species lists at national and local levels, limiting focus on its population and habitat status, which may result in it being overlooked in local butterfly ...
Yao J   +5 more
europepmc   +4 more sources

Feature tuning improves MAXENT predictions of the potential distribution of Pedicularis longiflora Rudolph and its variant [PDF]

open access: yesPeerJ, 2022
Pedicularis longiflora Rudolph and its variant (P. longiflora var. tubiformis (Klotzsch) Tsoong) are alpine plants and traditional Chinese medicines with important medicinal value, and future climate changes may have an adverse impact on their geographic
Ru Bao, Xiaolong Li, Jianghua Zheng
doaj   +2 more sources

Prediction of potential suitable area of Phoebe zhennan in Guizhou Province based on MaxEnt model

open access: yesGuangxi Zhiwu, 2023
To reveal the potential distribution characteristics of Phoebe zhennan in Guizhou Province and its response mode to environmental factors. Based on the geographical distribution points of P.
Shanyun YANG   +5 more
doaj   +1 more source

Novel Ensemble Approaches of Machine Learning Techniques in Modeling the Gully Erosion Susceptibility

open access: yesRemote Sensing, 2020
Gully erosion has become one of the major environmental issues, due to the severity of its impact in many parts of the world. Gully erosion directly and indirectly affects agriculture and infrastructural development.
Alireza Arabameri   +6 more
doaj   +1 more source

Convex foundations for generalized MaxEnt models [PDF]

open access: yesAIP Conference Proceedings, 2014
We present an approach to maximum entropy models that highlights the convex geometry and duality of generalized exponential families (GEFs) and their connection to Bregman divergences. Using our framework, we are able to resolve a puzzling aspect of the bijection of Banerjee and coauthors between classical exponential families and what they call ...
Rafael Frongillo, Mark D. Reid
openaire   +1 more source

Modeling the responses of Coffee (Coffea arabica L.) distribution to current and future climate change in Jimma Zone, Ethiopia

open access: yesSains Tanah: Journal of Soil Science and Agroclimatology, 2022
Coffee arabica species have already been affected by climate change, with socioeconomic implications. Smallholder farmers have encountered and will continue to confront issues in maintaining their coffee plants' productivity.
Fedhasa Benti Chalchissa   +2 more
doaj   +1 more source

Prediction of potential suitable areas for endangered karst obligate plant Excentrodendron tonkinense in China

open access: yesGuangxi Zhiwu, 2023
Excentrodendron tonkinense is a constructive species of karst seasonal rainforest and a karst obligate plant, which is also one of the national secondary key protected wild plant and an IUCN endangered plant, with high ecological economic value. In order
Yulian WEI   +9 more
doaj   +1 more source

A prediction of suitable habitat mapping of Pinus roxburghii sarg. using maxent modeling

open access: yesEnvironment Conservation Journal, 2021
Prediction of the potential geographic distribution of species is essential concerning various purposes in protection and conservation. The present study focused on predicting the distribution of Pinus roxburghii Sarg.
Leishangthem Chanu Langlentombi   +1 more
doaj   +1 more source

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