Results 181 to 190 of about 14,330 (285)

Predicting the Potential Distribution of <i>Aconitum carmichaelii</i> Debeaux in China Under Climate Change Using an Optimized MaxEnt Model. [PDF]

Plants (Basel)
Chen J, Zhang W, Cui S, Zhu X, Chen Y, Ren J, Liu Z, Liu Y, Liao H, Zhou J.   +9 more
europepmc   +1 more source

Ensemble Modeling of Shifts in the Suitable Distribution and Ecological Niche of the Alpine Tibetan Medicinal Herb Corydalis hendersonii Hemsl. Under Climate Change and Human Activity

Ecology and Evolution, Volume 16, Issue 6, June 2026.
Corydalis hendersonii, a rare alpine Tibetan medicinal herb, faces increasing threats from climate warming and intensified human activity. Using a biomod2 ensemble species distribution model that integrates climate variables and the Human Footprint Index, we predict that suitable habitats will remain stable or slightly expand under SSP126 but contract ...
Dehua Wu, Yanlei Liu, Zhixian Jing, Siqi Liu, Ba Qiang, Weiwu Chen, Yiheng Wang, Chuanzhi Kang, Zekun Zhang   +8 more
wiley   +1 more source

Predicting the potential suitable habitats of Rosa roxburghii and its key pest Grapholita molesta in China using the MaxEnt Model. [PDF]

PLoS One
Qin H, Wu S, Luo G, Lu M, Xiang H, Li Z.
europepmc   +1 more source

Impact of an Updated Climate Database on Model Performance and Niche Variability in Species Distribution Modeling

Ecology and Evolution, Volume 16, Issue 6, June 2026.
This study introduces an updated open‐access climate database (1992–2021) to replace outdated baselines in species distribution modeling, specifically for CLIMEX and MaxEnt applications. By synchronizing contemporary climate data with recent species occurrences, the researchers demonstrate how to reduce predictive uncertainty and capture localized ...
Jae‐Woo Song, Sunhee Yoon, Sunghoon Jung, Wang‐Hee Lee   +3 more
wiley   +1 more source

Environmental drivers of rabies in the Volga region of Russia: application of the maxent model. [PDF]

Front Vet Sci
Zakharova OI, Korennoy FI, Liskova EA, Demidova TN, Iashin IV, Blokhin AA.   +5 more
europepmc   +1 more source

Modeling the Susceptibility of Ips sexdentatus with Maximum Entropy (MaxEnt)

Forests are most affected by climate change and related factors. Climate change causes changes in the distribution of host trees and their associated pests. Predictive models that determine the spatial distributions of species are important for applications that will guide planners in the field of ecology and conservation. It is predicted that the ever-
openaire   +1 more source

Over three‐quarters of earthworm species lack protection in China, a crisis exacerbated by climate change

Ecography, Volume 2026, Issue 6, June 2026.
Earthworms, as ‘ecosystem engineers', play a crucial role in regulating ecosystem functions and shaping community structures. Due to climate change, earthworms face severe survival pressures and extinction risks. However, whether conservation efforts targeting aboveground biodiversity can cover the long‐neglected earthworm diversity remains unknown. To
Yajie Zhou, Shuo Zhang, Wen Qin, Zhuoyi Wu, , Shaolin Peng, Ting Zhou   +6 more
wiley   +1 more source

Assessing the invasive risk of Rhinotermitidae in China under current and future global warming scenarios using the MaxEnt model. [PDF]

Front Zool
Hussain R, Xing L, Hua Y.
europepmc   +1 more source

The relative roles of in situ diversification and lineage dispersal underlying diversity patterns at the assemblage level

Oikos, Volume 2026, Issue 6, June 2026.
Speciation, extinction, and dispersal are the historical processes influencing the spatial distribution of lineages and strongly influence diversity patterns. Here, we apply a recently developed methodological approach to quantify the relative legacies in situ diversification history (i.e.
Arthur Vinicius Rodrigues, Gabriel Nakamura, Leandro Duarte   +2 more
wiley   +1 more source

Prediction of suitable distribution areas for Alismatis Rhizoma based on the MaxEnt model and study on quality-environment correlation. [PDF]

Front Plant Sci
Wang Z, Zhao Z, Yang G, Zhang H, Li J, Lan Z.   +5 more
europepmc   +1 more source