Articles | Volume 21, issue 23
https://doi.org/10.5194/bg-21-5393-2024
© Author(s) 2024. 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-21-5393-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
05 Dec 2024
Research article |
| 05 Dec 2024
| 05 Dec 2024
Cropland expansion drives vegetation greenness decline in Southeast Asia
Department of Geography, National University of Singapore, Singapore 117570, Singapore
Department of Geography, National University of Singapore, Singapore 117570, Singapore
Centre for Nature-based Climate Solutions, Department of Biological Sciences, National University of Singapore, Singapore 117558, Singapore
Yuheng Yang
Department of Geography, National University of Singapore, Singapore 117570, Singapore
Luri Nurlaila Syahid
Department of Geography, National University of Singapore, Singapore 117570, Singapore
Department of Ecology, Evolution, and Natural Resources, School of Environmental and Biological Sciences, Rutgers University, New Brunswick, NJ 08901, USA
Janice Ser Huay Lee
Asian School of the Environment, Nanyang Technological University, Singapore 639798, Singapore
Earth Observatory of Singapore, Nanyang Technological University, Singapore 637459, Singapore
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This preprint is open for discussion and under review for Biogeosciences (BG).
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Southeast Asia’s water and carbon fluxes remain poorly understood due to limited field observations and modelling. Using available data and computer models, we show the region is mostly energy-limited: evapotranspiration is controlled by relative humidity, while plant productivity is driven by solar radiation. In some particular areas, such as the Tibetan Plateau, savannas, and dry deciduous forests, water availability is the main limiting factor.
Gab Abramowitz, Anna Ukkola, Sanaa Hobeichi, Jon Cranko Page, Mathew Lipson, Martin G. De Kauwe, Samuel Green, Claire Brenner, Jonathan Frame, Grey Nearing, Martyn Clark, Martin Best, Peter Anthoni, Gabriele Arduini, Souhail Boussetta, Silvia Caldararu, Kyeungwoo Cho, Matthias Cuntz, David Fairbairn, Craig R. Ferguson, Hyungjun Kim, Yeonjoo Kim, Jürgen Knauer, David Lawrence, Xiangzhong Luo, Sergey Malyshev, Tomoko Nitta, Jerome Ogee, Keith Oleson, Catherine Ottlé, Phillipe Peylin, Patricia de Rosnay, Heather Rumbold, Bob Su, Nicolas Vuichard, Anthony P. Walker, Xiaoni Wang-Faivre, Yunfei Wang, and Yijian Zeng
Biogeosciences, 21, 5517–5538, https://doi.org/10.5194/bg-21-5517-2024, https://doi.org/10.5194/bg-21-5517-2024, 2024
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This paper evaluates land models – computer-based models that simulate ecosystem dynamics; land carbon, water, and energy cycles; and the role of land in the climate system. It uses machine learning and AI approaches to show that, despite the complexity of land models, they do not perform nearly as well as they could given the amount of information they are provided with about the prediction problem.
Jiye Leng, Jing M. Chen, Wenyu Li, Xiangzhong Luo, Mingzhu Xu, Jane Liu, Rong Wang, Cheryl Rogers, Bolun Li, and Yulin Yan
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We produced a long-term global two-leaf gross primary productivity (GPP) and evapotranspiration (ET) dataset at the hourly time step by integrating a diagnostic process-based model with dynamic parameterizations. The new dataset provides us with a unique opportunity to study carbon and water fluxes at sub-daily time scales and advance our understanding of ecosystem functions in response to transient environmental changes.
Shengli Tao, Zurui Ao, Jean-Pierre Wigneron, Sassan Saatchi, Philippe Ciais, Jérôme Chave, Thuy Le Toan, Pierre-Louis Frison, Xiaomei Hu, Chi Chen, Lei Fan, Mengjia Wang, Jiangling Zhu, Xia Zhao, Xiaojun Li, Xiangzhuo Liu, Yanjun Su, Tianyu Hu, Qinghua Guo, Zhiheng Wang, Zhiyao Tang, Yi Y. Liu, and Jingyun Fang
Earth Syst. Sci. Data, 15, 1577–1596, https://doi.org/10.5194/essd-15-1577-2023, https://doi.org/10.5194/essd-15-1577-2023, 2023
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We provide the first long-term (since 1992), high-resolution (8.9 km) satellite radar backscatter data set (LHScat) with a C-band (5.3 GHz) signal dynamic for global lands. LHScat was created by fusing signals from ERS (1992–2001; C-band), QSCAT (1999–2009; Ku-band), and ASCAT (since 2007; C-band). LHScat has been validated against independent ERS-2 signals. It could be used in a variety of studies, such as vegetation monitoring and hydrological modelling.
Jing M. Chen, Rong Wang, Yihong Liu, Liming He, Holly Croft, Xiangzhong Luo, Han Wang, Nicholas G. Smith, Trevor F. Keenan, I. Colin Prentice, Yongguang Zhang, Weimin Ju, and Ning Dong
Earth Syst. Sci. Data, 14, 4077–4093, https://doi.org/10.5194/essd-14-4077-2022, https://doi.org/10.5194/essd-14-4077-2022, 2022
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Green leaves contain chlorophyll pigments that harvest light for photosynthesis and also emit chlorophyll fluorescence as a byproduct. Both chlorophyll pigments and fluorescence can be measured by Earth-orbiting satellite sensors. Here we demonstrate that leaf photosynthetic capacity can be reliably derived globally using these measurements. This new satellite-based information overcomes a bottleneck in global ecological research where such spatially explicit information is currently lacking.
Kai Wan Yuen, Adam D. Switzer, Paul P. S. Teng, and Janice Ser Huay Lee
Nat. Hazards Earth Syst. Sci. Discuss., https://doi.org/10.5194/nhess-2022-4, https://doi.org/10.5194/nhess-2022-4, 2022
Manuscript not accepted for further review
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Few databases provide standardized reporting of disaster-related agricultural damage and loss. We compiled cyclone-induced rice damage data from 1970–2018 in four countries in Asia (Bangladesh, Myanmar, Philippines and Vietnam). Of the 1,046 cyclone events recorded, 13 % or 138 events were associated with rice damage. Philippines and Vietnam accounted for 128 of these events. While higher cyclone intensity tend to cause most damage, lower intensity events were more frequent.
Kai Wan Yuen, Tang Thi Hanh, Vu Duong Quynh, Adam D. Switzer, Paul Teng, and Janice Ser Huay Lee
Nat. Hazards Earth Syst. Sci., 21, 1473–1493, https://doi.org/10.5194/nhess-21-1473-2021, https://doi.org/10.5194/nhess-21-1473-2021, 2021
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We used flow diagrams to represent the ways in which anthropogenic land use and natural hazards have affected rice production in the two
mega-deltas of Vietnam. Anthropogenic developments meant to improve productivity may create negative feedbacks on rice production and quality. Natural hazards further amplify problems created by human activities. A systems-thinking approach can yield nuanced perspectives for tackling environmental challenges.
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Short summary
Southeast Asia has been a global hot spot of land-use change over the past 50 years. Meanwhile, it also hosts some of the most carbon-dense and diverse ecosystems in the world. Here, we explore the impact of land-use change, along with other environmental factors, on the ecosystem in Southeast Asia. We find that elevated CO2 imposed a positive impact on vegetation greenness, but the positive impact was largely offset by intensive land-use changes in the region, particularly cropland expansion.
Southeast Asia has been a global hot spot of land-use change over the past 50 years. Meanwhile,...
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