Articles | Volume 17, issue 1
https://doi.org/10.5194/bg-17-121-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/bg-17-121-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
14 Jan 2020
Research article |
| 14 Jan 2020
| 14 Jan 2020
Forest aboveground biomass stock and resilience in a tropical landscape of Thailand
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
Nophea Sasaki
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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Cited
20 citations as recorded by crossref.
- New allometric equations for quantifying tree biomass and carbon sequestration in seasonally dry secondary forest in northern Thailand T. Pothong et al. 10.1007/s11056-021-09844-3
- Towards accurate mapping of forest in tropical landscapes: A comparison of datasets on how forest transition matters R. Ferrer Velasco et al. 10.1016/j.rse.2022.112997
- Applying LiDAR to Quantify the Plant Area Index Along a Successional Gradient in a Tropical Forest of Thailand S. Pimmasarn et al. 10.3390/f11050520
- Sapwood area~DBH allometries for 14 common tree species in a successional tropical forest in Thailand S. Yaemphum et al. 10.1093/forestry/cpab054
- Whole-Plant Seedling Functional Traits Suggest Lianas Also Support “Fast-Slow” Plant Economics Spectrum Z. Sun et al. 10.3390/f13070990
- Revealing the spatial variation in biomass uptake rates of Brazil’s secondary forests N. Chen et al. 10.1016/j.isprsjprs.2023.12.013
- Spatial Assessment of Para Rubber (Hevea brasiliensis) above Ground Biomass Potentials in Songkhla Province, Southern Thailand J. Simon et al. 10.3390/su13169344
- Financial Analysis of Potential Carbon Value over 14 Years of Forest Restoration by the Framework Species Method K. Jantawong et al. 10.3390/f13020144
- Remote sensing analysis on primary productivity and forest cover dynamics: A Western Ghats India case study M. Baldo et al. 10.1016/j.ecoinf.2022.101922
- Uncovering the Hidden Carbon Treasures of the Philippines’ Towering Mountains: A Synergistic Exploration Using Satellite Imagery and Machine Learning R. Altarez et al. 10.1007/s41064-023-00264-w
- Above ground carbon stock mapping over Coimbatore and Nilgiris Biosphere: a key source to the C sink M. Hari et al. 10.1080/17583004.2021.1962979
- Airborne Lidar Sampling Pivotal for Accurate Regional AGB Predictions from Multispectral Images in Forest-Savanna Landscapes L. Sagang et al. 10.3390/rs12101637
- Aboveground biomass and carbon stock assessment in the Eastern Himalaya foothills along the Indo-Bhutan border K. Sharma et al. 10.1080/00049182.2022.2092992
- Biomass recovery along a tropical forest succession: Trends on tree diversity, wood traits and stand structure D. Aryal et al. 10.1016/j.foreco.2024.121709
- Liana abundance and diversity increase along a successional gradient, even with homogeneous closed canopy N. Lomwong et al. 10.1016/j.foreco.2023.120878
- Variation of leaf-level gas exchange rates and leaf functional traits of dominant trees across three successional stages in a Southeast Asian tropical forest P. Tor-ngern et al. 10.1016/j.foreco.2021.119101
- Fragmentation is the main driver of residual forest aboveground biomass in West African low forest-high deforestation landscapes S. Traoré et al. 10.1016/j.tfp.2023.100477
- Vicarious calibration of GEDI biomass with Landsat age data for understanding secondary forest carbon dynamics N. Jha et al. 10.1088/1748-9326/ad3661
- Monitoring vegetation dynamics with open earth observation tools: the case of fire-modulated savanna to forest transitions in Central Africa L. Sagang et al. 10.1016/j.isprsjprs.2022.04.008
- Size‐dependent intraspecific variation in wood traits has little impact on aboveground carbon estimates in a tropical forest landscape P. Thripob et al. 10.1111/1365-2435.14124
20 citations as recorded by crossref.
- New allometric equations for quantifying tree biomass and carbon sequestration in seasonally dry secondary forest in northern Thailand T. Pothong et al. 10.1007/s11056-021-09844-3
- Towards accurate mapping of forest in tropical landscapes: A comparison of datasets on how forest transition matters R. Ferrer Velasco et al. 10.1016/j.rse.2022.112997
- Applying LiDAR to Quantify the Plant Area Index Along a Successional Gradient in a Tropical Forest of Thailand S. Pimmasarn et al. 10.3390/f11050520
- Sapwood area~DBH allometries for 14 common tree species in a successional tropical forest in Thailand S. Yaemphum et al. 10.1093/forestry/cpab054
- Whole-Plant Seedling Functional Traits Suggest Lianas Also Support “Fast-Slow” Plant Economics Spectrum Z. Sun et al. 10.3390/f13070990
- Revealing the spatial variation in biomass uptake rates of Brazil’s secondary forests N. Chen et al. 10.1016/j.isprsjprs.2023.12.013
- Spatial Assessment of Para Rubber (Hevea brasiliensis) above Ground Biomass Potentials in Songkhla Province, Southern Thailand J. Simon et al. 10.3390/su13169344
- Financial Analysis of Potential Carbon Value over 14 Years of Forest Restoration by the Framework Species Method K. Jantawong et al. 10.3390/f13020144
- Remote sensing analysis on primary productivity and forest cover dynamics: A Western Ghats India case study M. Baldo et al. 10.1016/j.ecoinf.2022.101922
- Uncovering the Hidden Carbon Treasures of the Philippines’ Towering Mountains: A Synergistic Exploration Using Satellite Imagery and Machine Learning R. Altarez et al. 10.1007/s41064-023-00264-w
- Above ground carbon stock mapping over Coimbatore and Nilgiris Biosphere: a key source to the C sink M. Hari et al. 10.1080/17583004.2021.1962979
- Airborne Lidar Sampling Pivotal for Accurate Regional AGB Predictions from Multispectral Images in Forest-Savanna Landscapes L. Sagang et al. 10.3390/rs12101637
- Aboveground biomass and carbon stock assessment in the Eastern Himalaya foothills along the Indo-Bhutan border K. Sharma et al. 10.1080/00049182.2022.2092992
- Biomass recovery along a tropical forest succession: Trends on tree diversity, wood traits and stand structure D. Aryal et al. 10.1016/j.foreco.2024.121709
- Liana abundance and diversity increase along a successional gradient, even with homogeneous closed canopy N. Lomwong et al. 10.1016/j.foreco.2023.120878
- Variation of leaf-level gas exchange rates and leaf functional traits of dominant trees across three successional stages in a Southeast Asian tropical forest P. Tor-ngern et al. 10.1016/j.foreco.2021.119101
- Fragmentation is the main driver of residual forest aboveground biomass in West African low forest-high deforestation landscapes S. Traoré et al. 10.1016/j.tfp.2023.100477
- Vicarious calibration of GEDI biomass with Landsat age data for understanding secondary forest carbon dynamics N. Jha et al. 10.1088/1748-9326/ad3661
- Monitoring vegetation dynamics with open earth observation tools: the case of fire-modulated savanna to forest transitions in Central Africa L. Sagang et al. 10.1016/j.isprsjprs.2022.04.008
- Size‐dependent intraspecific variation in wood traits has little impact on aboveground carbon estimates in a tropical forest landscape P. Thripob et al. 10.1111/1365-2435.14124
Discussed (final revised paper)
Latest update: 24 Apr 2024
Short summary
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...
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