Tropical peatland water table estimations from space

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. 2024. Tropical peatland water table estimations from space. Journal of Geophysical Research: Biogeosciences, 129 (6):e2024JG008116, 22 p.

Url - jeu de données - Entrepôt autre : https://doi.org/10.17528/CIFOR/DATA.00243 / Url - jeu de données - Entrepôt autre : https://doi.org/10.6084/m9.figshare.25334854.v1 / Url - jeu de données - Entrepôt autre : https://doi.org/10.6084/m9.figshare.22321129.v1 / Url - jeu de données - Entrepôt autre : https://doi.org/10.6084/m9.figshare.25299358.v1 / Url - autres données associées : https://github.com/koupsci/OPTRAM_code_updated.git

Résumé : 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.

Mots-clés Agrovoc : télédétection, cycle hydrologique, forêt tropicale, Landsat, impact sur l'environnement, modèle de simulation, cycle du carbone, tourbière, stockage, distribution spatiale, hydrologie, couverture végétale

Mots-clés géographiques Agrovoc : Malaisie, Pérou, Indonésie

Agences de financement hors UE : Sustainable Wetlands Adaptation and Mitigation Program, Global Comparative Study on REDD+, Government of the Norway, Academy of Finland

Auteurs et affiliations

• Koupaei-Abyazani Nikaan, University of Wisconsin-Madison (USA) - auteur correspondant
• Burdun Iuliia, Aalto University (FIN)
• Desai Ankur R., University of Wisconsin-Madison (USA)
• Hergoualc'H Kristell Anaïk, CIRAD-PERSYST-UMR Eco&Sols (FRA)
• Hirano Takashi, Hokkaido University (JPN)
• Melling Lulie, Sarawak Tropical Peat Research Institute (MYS)
• Swails Erin, CIFOR (IDN)
• Tang Angela Che Ing, University of Toledo (USA)
• Wong Guan Xhuan, Sarawak Tropical Peat Research Institute (MYS)

Source : Cirad-Agritrop (https://agritrop.cirad.fr/609820/)

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