Mapping 24 woody plant species phenology and ground forest phenology over China from 1951 to 2020
Mengyao Zhu,Junhu Dai,Huanjiong Wang,Juha M. Alatalo,Wei Liu,Yulong Hao,and Quansheng Ge
Mengyao Zhu
Key Laboratory of Land Surface Pattern and Simulation, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, 100101, China
Key Laboratory of Land Surface Pattern and Simulation, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, 100101, China
College of Resources and Environment, University of Chinese Academy of Sciences, Beijing, 101408, China
China-Pakistan Joint Research Center on Earth Sciences, CAS-HEC, Islamabad, 45320, Pakistan
Huanjiong Wang
Key Laboratory of Land Surface Pattern and Simulation, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, 100101, China
Juha M. Alatalo
Environmental Science Centre, Qatar University, Doha, 2713, Qatar
Wei Liu
Key Laboratory of Land Surface Pattern and Simulation, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, 100101, China
College of Resources and Environment, University of Chinese Academy of Sciences, Beijing, 101408, China
Yulong Hao
Key Laboratory of Land Surface Pattern and Simulation, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, 100101, China
College of Resources and Environment, University of Chinese Academy of Sciences, Beijing, 101408, China
Key Laboratory of Land Surface Pattern and Simulation, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, 100101, China
College of Resources and Environment, University of Chinese Academy of Sciences, Beijing, 101408, China
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Total article views: 4,332 (including HTML, PDF, and XML)
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Total article views: 3,134 (including HTML, PDF, and XML)
Thereof 3,072 with geography defined
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Total article views: 1,198 (including HTML, PDF, and XML)
Thereof 1,176 with geography defined
and 22 with unknown origin.
This study utilized 24,552 in situ phenology observation records from the Chinese Phenology Observation Network to model and map 24 woody plant species phenology and ground forest phenology over China from 1951 to 2020. These phenology maps are the first gridded, independent and reliable phenology data sources for China, offering a high spatial resolution of 0.1° and an average deviation of about 10 days. It contributes to more comprehensive research on plant phenology and climate change.
This study utilized 24,552 in situ phenology observation records from the Chinese Phenology...
