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
                                        
                                    
                                            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
7 citations as recorded by crossref.
- Remote sensing of young leaf photosynthetic capacity in tropical and subtropical evergreen broadleaved forests X. Yang et al. 10.5194/essd-17-3293-2025
- TROLL 4.0: representing water and carbon fluxes, leaf phenology, and intraspecific trait variation in a mixed-species individual-based forest dynamics model – Part 2: Model evaluation for two Amazonian sites S. Schmitt et al. 10.5194/gmd-18-5205-2025
- Global comparison of temperature and water stress representations in light use efficiency models for gross primary productivity estimation E. Gong et al. 10.1016/j.isprsjprs.2025.09.018
- 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
- TROLL 4.0: representing water and carbon fluxes, leaf phenology, and intraspecific trait variation in a mixed-species individual-based forest dynamics model – Part 2: Model evaluation for two Amazonian sites S. Schmitt et al. 10.5194/gmd-18-5205-2025
5 citations as recorded by crossref.
- Remote sensing of young leaf photosynthetic capacity in tropical and subtropical evergreen broadleaved forests X. Yang et al. 10.5194/essd-17-3293-2025
- TROLL 4.0: representing water and carbon fluxes, leaf phenology, and intraspecific trait variation in a mixed-species individual-based forest dynamics model – Part 2: Model evaluation for two Amazonian sites S. Schmitt et al. 10.5194/gmd-18-5205-2025
- Global comparison of temperature and water stress representations in light use efficiency models for gross primary productivity estimation E. Gong et al. 10.1016/j.isprsjprs.2025.09.018
- 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
2 citations as recorded by crossref.
- 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
- TROLL 4.0: representing water and carbon fluxes, leaf phenology, and intraspecific trait variation in a mixed-species individual-based forest dynamics model – Part 2: Model evaluation for two Amazonian sites S. Schmitt et al. 10.5194/gmd-18-5205-2025
Latest update: 30 Oct 2025
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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