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Spatial variations in the difference in elevational shifts between greenness and temperature isolines across the Tibetan Plateau grasslands under warming 期刊论文
SCIENCE OF THE TOTAL ENVIRONMENT, 2024, 卷号: 906
作者:  Zhang, Lei;  Shen, Miaogen;  Yang, Zhiyong;  Wang, Yafeng;  Chen, Jin
收藏  |  浏览/下载：32/0  |  提交时间：2024/03/01
Alpine grasslands  Climate change  Elevational movement  Spatial variability  Vegetation greenness  
Spatiotemporal variations of leaf senescence velocity on the Tibetan Plateau grasslands 期刊论文
ECOLOGICAL INDICATORS, 2023, 卷号: 156
作者:  Tang, Yusong;  Chen, Rui;  Xie, Jiangliu;  Ma, Dujuan;  Wang, Changjing;  Wang, Cong;  Xie, Qiaoyun;  Yin, Gaofei
收藏  |  浏览/下载：1/0  |  提交时间：2024/03/01
Leaf senescence velocity  Tibetan Plateau  Normalized difference greenness index  Vegetation phenology  
Impacts of Climate Change and Human Activities on NDVI in the Qinghai-Tibet Plateau 期刊论文
REMOTE SENSING, 2023, 卷号: 15, 期号: 3
作者:  Sun, Lu;  Li, Hao;  Wang, Jia;  Chen, Yuhan;  Xiong, Nina;  Wang, Zong;  Wang, Jing;  Xu, Jiangqi
收藏  |  浏览/下载：4/0  |  提交时间：2024/03/01
Qinghai-Tibet Plateau  vegetation greenness  climate change  human activity intensity  geodetector  
ANALYZING THE IMPACT OF CLIMATE CHANGE ON NATURAL VEGETATION GREENNESS USING IMPROVED STATISTICAL VEGETATION INDEX SIMULATION MODEL 期刊论文
APPLIED ECOLOGY AND ENVIRONMENTAL RESEARCH, 2019, 卷号: 17, 期号: 2, 页码: 4677-4691
作者:  Tong, R. Z.;  Song, H.;  Sun, W. C.;  Xu, Z. X.;  Yao, X. L.;  Yu, J. S.
收藏  |  浏览/下载：28/0  |  提交时间：2019/10/08
NDVI  remote sensing  arid region  vegetation greenness  climate change  
Global-scale mapping of changes in ecosystem functioning from earth observation-based trends in total and recurrent vegetation 期刊论文
GLOBAL ECOLOGY AND BIOGEOGRAPHY, 2015, 卷号: 24, 期号: 9, 页码: 1003-1017
作者:  Fensholt, Rasmus;  Horion, Stephanie;  Tagesson, Torbern;  Ehammer, Andrea;  Ivits, Eva;  Rasmussen, Kjeld
收藏  |  浏览/下载：19/0  |  提交时间：2019/05/04
Ecosystem functioning change  land-use land-cover change (LULCC)  remote sensing  vegetation greenness  phenology  trend analysis