Articles | Volume 15, issue 6
https://doi.org/10.5194/essd-15-2601-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/essd-15-2601-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
A gridded dataset of a leaf-age-dependent leaf area index seasonality product over tropical and subtropical evergreen broadleaved forests
Xueqin Yang
Guangdong Province Data Center of Terrestrial and Marine Ecosystems
Carbon Cycle, Guangdong Province Key Laboratory for Climate Change and
Natural Disaster Studies, School of Atmospheric Sciences, Sun Yat-sen
University and Southern Marine Science and Engineering Guangdong Laboratory
(Zhuhai), Zhuhai 519082, China
Key Lab of Guangdong for Utilization of Remote Sensing and
Geographical Information System, Guangdong Open Laboratory of Geospatial
Information Technology and Application, Guangzhou Institute of Geography,
Guangdong Academy of Sciences, Guangzhou 510070, China
Guangzhou Institute of Geochemistry, Chinese Academy of Sciences,
Guangzhou 510640, China
Xiuzhi Chen
CORRESPONDING AUTHOR
Guangdong Province Data Center of Terrestrial and Marine Ecosystems
Carbon Cycle, Guangdong Province Key Laboratory for Climate Change and
Natural Disaster Studies, School of Atmospheric Sciences, Sun Yat-sen
University and Southern Marine Science and Engineering Guangdong Laboratory
(Zhuhai), Zhuhai 519082, China
Jiashun Ren
Guangdong Province Data Center of Terrestrial and Marine Ecosystems
Carbon Cycle, Guangdong Province Key Laboratory for Climate Change and
Natural Disaster Studies, School of Atmospheric Sciences, Sun Yat-sen
University and Southern Marine Science and Engineering Guangdong Laboratory
(Zhuhai), Zhuhai 519082, China
College of Earth Sciences, Chengdu University of Technology, Chengdu 610000, China
Wenping Yuan
Guangdong Province Data Center of Terrestrial and Marine Ecosystems
Carbon Cycle, Guangdong Province Key Laboratory for Climate Change and
Natural Disaster Studies, School of Atmospheric Sciences, Sun Yat-sen
University and Southern Marine Science and Engineering Guangdong Laboratory
(Zhuhai), Zhuhai 519082, China
Liyang Liu
Laboratoire des Sciences du Climat et de l'Environnement, IPSL,
CEA-CNRS-UVSQ, Université Paris-Saclay, 91191 Gif-sur-Yvette, France
Juxiu Liu
Dinghushan Forest Ecosystem Research Station, South China Botanical
Garden, Chinese Academy of Sciences, Guangzhou 510650, China
Dexiang Chen
Pearl River Delta Forest Ecosystem Research Station, Research
Institute of Tropical Forestry, Chinese Academy of Forestry, Guangzhou 510650, China
Yihua Xiao
Pearl River Delta Forest Ecosystem Research Station, Research
Institute of Tropical Forestry, Chinese Academy of Forestry, Guangzhou 510650, China
Qinghai Song
CAS Key Laboratory of Tropical Forest Ecology, Xishuangbanna Tropical Botanical Garden, Chinese Academy of Sciences, Menglun 666303, China
Yanjun Du
Key Laboratory of Genetics and Germplasm Innovation of Tropical
Special Forest Trees and Ornamental Plants (Ministry of Education), College
of Forestry, Hainan University, Haikou 570228, China
Shengbiao Wu
School of Biological Sciences, University of Hong Kong, Pokfulam, Hong Kong SAR, China
Lei Fan
Chongqing Jinfo Mountain Karst Ecosystem National Observation and
Research Station, School of Geographical Sciences, Southwest University, Chongqing 400715, China
Xiaoai Dai
College of Earth Sciences, Chengdu University of Technology, Chengdu 610000, China
Yunpeng Wang
Guangzhou Institute of Geochemistry, Chinese Academy of Sciences,
Guangzhou 510640, China
Yongxian Su
Key Lab of Guangdong for Utilization of Remote Sensing and
Geographical Information System, Guangdong Open Laboratory of Geospatial
Information Technology and Application, Guangzhou Institute of Geography,
Guangdong Academy of Sciences, Guangzhou 510070, China
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Cited
3 citations as recorded by crossref.
- Evaluation of the RegCM model capability in simulating leaf area index and climatic feedback of dynamic vegetation cover in Iran A. Sabziparvar et al. 10.1007/s00704-024-05045-y
- Terrestrial Ecosystem Model in R (TEMIR) version 1.0: simulating ecophysiological responses of vegetation to atmospheric chemical and meteorological changes A. Tai et al. 10.5194/gmd-17-3733-2024
- A gridded dataset of a leaf-age-dependent leaf area index seasonality product over tropical and subtropical evergreen broadleaved forests X. Yang et al. 10.5194/essd-15-2601-2023
2 citations as recorded by crossref.
- Evaluation of the RegCM model capability in simulating leaf area index and climatic feedback of dynamic vegetation cover in Iran A. Sabziparvar et al. 10.1007/s00704-024-05045-y
- Terrestrial Ecosystem Model in R (TEMIR) version 1.0: simulating ecophysiological responses of vegetation to atmospheric chemical and meteorological changes A. Tai et al. 10.5194/gmd-17-3733-2024
Latest update: 23 Nov 2024
Short summary
We developed the first time-mapped, continental-scale gridded dataset of monthly leaf area index (LAI) in three leaf age cohorts (i.e., young, mature, and old) from 2001–2018 data (referred to as Lad-LAI). The seasonality of three LAI cohorts from the new Lad-LAI product agrees well at eight sites with very fine-scale collections of monthly LAI. The proposed satellite-based approaches can provide references for mapping finer spatiotemporal-resolution LAI products with different leaf age cohorts.
We developed the first time-mapped, continental-scale gridded dataset of monthly leaf area index...
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