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Updated: May 30, 2025

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在当前和未来的气候变化下,基于MaxEnt的预测适合Leymus secalinus的潜在分布

Shimeng Zhao1, Zongxian Zhang1, Changyu Gao1

  • 1Key Laboratory of Efficient Forage Production Mode, Ministry of Agriculture and Rural Affair, College of Grassland Science, Shanxi Agricultural University, Jinzhong 030801, China.

Plants (Basel, Switzerland)
|January 25, 2025
PubMed
概括

草地退化是中国北部的一个问题,但本土草 Leymus secalinus 可以帮助恢复它. 本研究确定了关键因素和未来适合L.secalinus的地区,以指导保护工作.

关键词:
莱姆斯 (Leymus secalinus) 是一个干燥的植物.环境变量环境变量共享社会经济路径 (SSP) 场景种类分布建模 (SDM) 是一种方法.适合的区域适合的区域.

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