Combining Spatial–Temporal Remote Sensing and Human Footprint Indices to Identify Biodiversity Conservation Hotspots

Combining Spatial–Temporal Remote Sensing and Human Footprint Indices to Identify Biodiversity Conservation Hotspots

Considering Inner Mongolia as the study area, the ecological theory of climate change, and human activities affecting a wide range of biodiversity patterns, MODIS multi-timeseries remote sensing image data were used and the interannual variation index was obtained by the method of fitting the curve...

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Bibliographic Details
Main Authors: Yuting Lu, Hong Wang, Yao Zhang, Jiahao Liu, Tengfei Qu, Xili Zhao, Haozhe Tian, Jingru Su, Dingsheng Luo, Yalei Yang
Format: Article
Language:English
Published: MDPI AG 2023-10-01
Series:Diversity
Subjects:
climatic change
human activities
biodiversity
hotspot identification
Online Access:https://www.mdpi.com/1424-2818/15/10/1064

Internet

https://www.mdpi.com/1424-2818/15/10/1064

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