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Yi, Y. J., Cheng, X., Yang, Z. F., & Zhang, S. H. (2016). Maxent Modeling for Predicting the Potential Distribution of Endangered Medicinal Plant (H. Riparia Lour). in Yunnan, China. Ecological Engineering, 92, 260-269.
https://doi.org/10.1016/j.ecoleng.2016.04.010

has been cited by the following article:

• TITLE: Prediction of the Distribution of Perennial Cultivated Grasses in the Northwest Sichuan Plateau, China under Climate Change

  AUTHORS: Bin Guo, San Wang, Chao Chen, Mingtian Wang, Tingting Li

  KEYWORDS: Clmatei Change, MaxEnt Model, Dominant Factor, Perennial Cultivated Grasses, Northwest Sichuan Plateau

  JOURNAL NAME: Journal of Geoscience and Environment Protection, Vol.7 No.10, October 25, 2019

  ABSTRACT: In order to determine the threshold and potential distribution of climatic conditions for perennial cultivated grasses in the Northwest plateau of Sichuan, China, the niche model is used to simulate the main climatic factors affecting the distribution of perennial cultivated grasses, and to predict the current and future climate change prospects. The results show that: 1) Wet index, accumulated temperature, isothermal, and annual average temperature range are the four major climatic factors affecting the distribution of perennial cultivated grasses in the Northwest Sichuan Plateau. 2) Model training and prediction data can be achieved well under the appropriate range of major climatic factors. 3) Under the background of climate warming, from now to 2080, the potential distribution of perennial cultivated grasses in the Northwest plateau of Sichuan, China will increase. The study aims to provide scientific decision-making basis for maintaining grassland ecosystem stability and promoting desertification management and even industrial restructuring of agriculture and animal husbandry.