Results 151 to 160 of about 9,643 (228)

The Potential Distribution of <i>Phytophthora nicotianae</i> in China on the Basis of MaxEnt Model Analysis. [PDF]

Ecol Evol
Bi C, Li M, Chen H, Zhao J, Zha H, Wu D, Zhao F, Yang P.   +7 more
europepmc   +1 more source

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

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

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

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

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

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

Potential Distribution Pattern and Ecological Suitability Analysis of <i>Hippophae Tibetana</i> Schltdl in China Based on the MaxEnt Model. [PDF]

Ecol Evol
Ma T, Yong D, Xu D, He Z, Zhuo Z.
europepmc   +1 more source

Predicting the potential distribution of three medicinal <i>Gentiana</i> species in China under climate change scenarios with the MaxEnt model. [PDF]

Front Plant Sci
Luo J, Li X, Liu Y, Zhang S, Liu A, Liu Y, Zhou Y.   +6 more
europepmc   +1 more source

MaxEnt model-based prediction of potential suitable habitats of three Trichosanthes L. species in China under future climate change scenarios. [PDF]

Front Plant Sci
Wang X, Ding Y, Duan C, Xu Y, Zhang C, Wang Z.   +5 more
europepmc   +1 more source