Spatial mapping of key plant functional traits in terrestrial ecosystems across China
Nannan An,Nan Lu,Weiliang Chen,Yongzhe Chen,Hao Shi,Fuzhong Wu,and Bojie Fu
Nannan An
Key Laboratory of Humid Subtropical Eco-geographical Process of Ministry of Education, School of Geographical Sciences, Fujian Normal University, Fuzhou 350117, China
State Key Laboratory of Urban and Regional Ecology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing 100085, China
College of Resources and Environment, University of Chinese Academy of Sciences, Beijing 101408, China
Key Laboratory of Humid Subtropical Eco-geographical Process of Ministry of Education, School of Geographical Sciences, Fujian Normal University, Fuzhou 350117, China
Bojie Fu
State Key Laboratory of Urban and Regional Ecology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing 100085, China
College of Resources and Environment, University of Chinese Academy of Sciences, Beijing 101408, China
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3,797
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176
5,863
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278
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BibTeX: 169
EndNote: 278
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Total article views: 3,746 (including HTML, PDF, and XML)
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2,488
1,139
119
3,746
222
133
231
HTML: 2,488
PDF: 1,139
XML: 119
Total: 3,746
Supplement: 222
BibTeX: 133
EndNote: 231
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1,309
751
57
2,117
36
47
HTML: 1,309
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Total: 2,117
BibTeX: 36
EndNote: 47
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Viewed (geographical distribution)
Total article views: 5,863 (including HTML, PDF, and XML)
Thereof 5,863 with geography defined
and 0 with unknown origin.
Total article views: 3,746 (including HTML, PDF, and XML)
Thereof 3,746 with geography defined
and 0 with unknown origin.
Total article views: 2,117 (including HTML, PDF, and XML)
Thereof 2,117 with geography defined
and 0 with unknown origin.
This study generated a spatially continuous plant functional trait dataset (~1 km) in China in combination with field observations, environmental variables and vegetation indices using machine learning methods. Results showed that wood density, leaf P concentration and specific leaf area showed good accuracy with an average R2 of higher than 0.45. This dataset could provide data support for development of Earth system models to predict vegetation distribution and ecosystem functions.
This study generated a spatially continuous plant functional trait dataset (~1 km) in China in...
