Department of Information & Communication Technologies, School
of Engineering and Technology (SET), Asian Institute of
Technology, Pathum Thani,
Thailand
Nitin Kumar Tripathi
Department of Information & Communication Technologies, School
of Engineering and Technology (SET), Asian Institute of
Technology, Pathum Thani,
Thailand
Wirong Chanthorn
Faculty of Environment, Kasetsart University, Bangkok, Thailand
Warren Brockelman
National Center for Genetic Engineering and Biotechnology (BIOTEC), Pathum Thani,
Thailand
Anuttara Nathalang
National Center for Genetic Engineering and Biotechnology (BIOTEC), Pathum Thani,
Thailand
National Biobank of Thailand (NBT), Pathum Thani,
Thailand
Raphaël Pélissier
AMAP IRD, CNRS, CIRAD, INRA, Université de
Montpellier, Montpellier, France
Siriruk Pimmasarn
Department of Information & Communication Technologies, School
of Engineering and Technology (SET), Asian Institute of
Technology, Pathum Thani,
Thailand
Pierre Ploton
AMAP IRD, CNRS, CIRAD, INRA, Université de
Montpellier, Montpellier, France
Department of Development and Sustainability, School of Environment, Resources and Development (SERD), Asian Institute of
Technology, Pathum Thani, Thailand
Salvatore G. P. Virdis
Department of Information & Communication Technologies, School
of Engineering and Technology (SET), Asian Institute of
Technology, Pathum Thani,
Thailand
Maxime Réjou-Méchain
AMAP IRD, CNRS, CIRAD, INRA, Université de
Montpellier, Montpellier, France
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Total article views: 5,039 (including HTML, PDF, and XML)
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Total article views: 4,323 (including HTML, PDF, and XML)
Thereof 3,939 with geography defined
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Total article views: 716 (including HTML, PDF, and XML)
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Carbon stocks and dynamics are both uncertain in tropical forests, especially in Asia. We here quantify the carbon stock and recovery rate of a Thai landscape using airborne lidar and four decades of Landsat data. We show that the landscape has a high carbon stock despite its disturbance history and that secondary forests are accumulating carbon at high rate. Our study shows the potential synergy of remote sensing and field data to characterize the carbon dynamics of tropical forests.
Carbon stocks and dynamics are both uncertain in tropical forests, especially in Asia. We here...
