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Updated: Jul 5, 2025

Integrating Remote Sensing with Species Distribution Models; Mapping Tamarisk Invasions Using the Software for Assisted Habitat Modeling SAHM
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在气候变化下,Prosopis juliflora - - 世界上最严重的100种外来入侵物种之一 - - 的全球空间分布,使用多种机器学习模型

S Vazeed Pasha1, C Sudhakar Reddy2

  • 1Forest Biodiversity and Ecology Division, National Remote Sensing Centre, ISRO, Balanagar, Hyderabad, 500 037, India. vazeedpashashaik@gmail.com.

Environmental monitoring and assessment
|January 24, 2024
PubMed
概括

气候变化促进了入侵物种的传播. 这项研究预测了Prosopis juliflora的全球入侵风险,确定了脆弱区域,并告知了保护工作对其扩张的信息.

关键词:
机器学习 机器学习利基相似性网站 (NSSs) 是一个很好的选择.SDM SDM SDM SDM SDM SDM SDM SDM SDM SDM SDM SDM SDM SDM SDM SDM SDM

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