Results 1 to 10 of about 9,956 (117)

Predicting the potential distribution of Atractylodes lancea in China under CMIP6 climate scenarios using an optimized MaxEnt model [PDF]

Frontiers in Plant Science
Atractylodes lancea is an important medicinal plant in China, and climate change may affect wild-resource conservation and cultivation planning.
Yunyun Sun, Jinchuan Guo, Shimao Chen, Xiaosu Xiang, Wanbo Xing, Yan Zhang, Qiya Ji, Yunan Cao, Tangyi Peng, Tangyi Peng, Qingshan Yang, Qingshan Yang, Qingshan Yang   +12 more
doaj   +2 more sources

Evaluation of Maximum Entropy (Maxent) Machine Learning Model to Assess Relationships between Climate and Corn Suitability

Land, 2022
Given the impact that climate change is projected to have on agriculture, it is essential to understand the mechanisms and conditions that drive agricultural land suitability.
Abigail Fitzgibbon, Dan Pisut, David Fleisher   +2 more
doaj   +3 more sources

On a Robust MaxEnt Process Regression Model with Sample-Selection

Entropy, 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

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

PeerJ, 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

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

Remote 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, Omid Asadi Nalivan, Sunil Saha, Jagabandhu Roy, Biswajeet Pradhan, John P. Tiefenbacher, Phuong Thao Thi Ngo   +6 more
doaj   +1 more source

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

Sains 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, Girma Mamo Diga, Alemayehu Regassa Tolossa   +2 more
doaj   +1 more source

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

Guangxi 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, Bin WANG, Dongxing LI, Fang LU, Fuzhao HUANG, Jianxing LI, Feng HE, Wusheng XIANG, Ting CHEN, Xiankun LI   +9 more
doaj   +1 more source

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

Guangxi 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, Mingtai AN, Feng LIU, Yang ZHANG, Li TIAN, Cuiyu CHEN   +5 more
doaj   +1 more source

The Most Important Factors that Affect the Potential of Groundwater Resources Piranshahr Watershed (West Azarbaijan) Using the MaxEnt Model and the GIS [PDF]

پژوهش‌های آبخیزداری, 2020
Groundwater is the most important and vital natural resource in arid and semi-arid regions. The purpose of the study is to determine the potential of groundwater in different areas of the watershed and prioritize the factors affecting it.
Mehdi Teimouri, Omid Asadi Nalivan
doaj   +1 more source

Maxent-directed field surveys identify new populations of narrowly endemic habitat specialists [PDF]

PeerJ, 2017
Background Rare or narrowly endemic organisms are difficult to monitor and conserve when their total distribution and habitat preferences are incompletely known.
Cody M. Rhoden, William E. Peterman, Christopher A. Taylor   +2 more
doaj   +2 more sources