Tropical peatland water table estimations from space
2024
Koupaei-Abyazani, Nikaan | Burdun, Iuliia | Desai, Ankur R. | Hergoualc'H, Kristell Anaïk | Hirano, Takashi | Melling, Lulie | Swails, Erin | Tang, Angela Che Ing | Wong, Guan Xhuan | University of Wisconsin-Madison | Aalto University | Ecologie fonctionnelle et biogéochimie des sols et des agro-écosystèmes (UMR Eco&Sols) ; Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad)-Institut de Recherche pour le Développement (IRD)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)-Institut Agro Montpellier ; Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro) | Hokkaido University [Sapporo, Japan] | Sarawak Tropical Peat Research Institute | Center for International Forestry Research (CIFOR) ; Consultative Group on International Agricultural Research [CGIAR] (CGIAR) | University of Toledo | Sustainable Wetlands Adaptation and Mitigation Program;SWAMP;USA; | Global Comparative Study on REDD+;;USA; | Government of the Norway;;NOR; | Academy of Finland;AKA;FIN;http://dx.doi.org/10.13039/501100002341
Source Agritrop Cirad (https://agritrop.cirad.fr/609820/)
显示更多 [+] 显示较少 [-]International audience
显示更多 [+] 显示较少 [-]英语. Tropical peatlands store copious amounts of carbon (C) and play a critical role in the global C cycle. However, this C store is vulnerable to natural and anthropogenic disturbances, leading these ecosystems to become weaker C sinks or even net C sources. Variabilities in water table (WT) greatly influence the magnitude of greenhouse gas flux in these biomes. Despite its importance in C cycling, observations of the spatiotemporal dynamics of tropical peatland WT are limited in spatial extent and length. Here, we use in situ WT measurements from tropical peatlands in Indonesia, Malaysia, and Peru to evaluate the satellite-based Optical Trapezoid Model (OPTRAM). The model uses the pixel distribution in the shortwave infrared transformed reflectance and normalized difference vegetation index (NDVI) space to calculate indices that are then compared against in situ WT data. 30-m resolution Landsat 7 and Landsat 8 images were utilized for model parameterization. We found OPTRAM to best capture tropical peatland WT dynamics in minimally forested and non-forested areas (low to intermediate NDVI) (0.7 < R < 1) using the “best pixel” approach (the pixel with the highest Pearson-R correlation value). In areas with relatively higher NDVI, OPTRAM index did not correlate with WT (average R of −0.04 to 0.24), likely due to trees being less sensitive to WT fluctuations. OPTRAM shows potential for reliably estimating tropical peatland WT without the need for direct measurements, which is challenging due to site remoteness and harsh conditions.
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