Dataset Information

Underestimated Dry Season Methane Emissions from Wetlands in the Pantanal.

ABSTRACT: Tropical wetlands contribute ∼30% of the global methane (CH₄) budget. Limited observational constraints on tropical wetland CH₄ emissions lead to large uncertainties and disparities in representing emissions. In this work, we combine remote sensing observations with atmospheric and wetland models to investigate dry season wetland CH₄ emissions from the Pantanal region of South America. We incorporate inundation maps generated from the Cyclone Global Navigation Satellite System (CYGNSS) satellite constellation together with traditional inundation maps to generate an ensemble of wetland CH₄ emission realizations. We challenge these realizations with daily satellite observations for May-July when wetland CH₄ emission predictions diverge. We find that the CYGNSS inundation products predict larger emissions in May, in better agreement with observations. We use the model ensemble to generate an empirical observational constraint on CH₄ emissions independent of choice of inundation map, finding large dry season wetland CH₄ emissions (31.7 ± 13.6 and 32.0 ± 20.2 mg CH₄/m²/day in May and June/July during 2018/2019, respectively). These May/June/July emissions are 2-3 times higher than current models, suggesting that annual wetland emissions may be higher than traditionally simulated. Observed trends in the early dry season indicate that dynamics during this period are of importance in representing tropical wetland CH₄ behaviors.

SUBMITTER: Li M

PROVIDER: S-EPMC10882965 | biostudies-literature | 2024 Feb

REPOSITORIES: biostudies-literature

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Underestimated Dry Season Methane Emissions from Wetlands in the Pantanal.

Li Mengze M Kort Eric A EA Bloom A Anthony AA Wu Dien D Plant Genevieve G Gerlein-Safdi Cynthia C Pu Tianjiao T

Environmental science & technology 20240207

Tropical wetlands contribute ∼30% of the global methane (CH4) budget. Limited observational constraints on tropical wetland CH4 emissions lead to large uncertainties and disparities in representing emissions. In this work, we combine remote sensing observations with atmospheric and wetland models to investigate dry season wetland CH4 emissions from the Pantanal region of South America. We incorporate inundation maps generated from the Cyclone Global Navigation Sa ...[more]

PMID: 38325813

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Project description:Paddy rice fields are one of the most important sources of anthropogenic methane. Improving the accuracy in the CH4 budget is fundamental to identify strategies to mitigate climate change. Such improvement requires a mechanistic understanding of the complex interactions between environmental and agronomic factors determining CH4 emissions, and also the characterization of the annual temporal CH4 emissions pattern in the whole crop cycle. Hence, both the growing and fallow seasons must be included. However, most of the previous research has been based on single-factor analyses that are focused on the growing season. In order to fill this gap, a study was conducted in a Mediterranean rice agrosystem (Ebre Delta, Catalonia) following a farm-to-farm approach with the purpose of 1) evaluating the cumulative and temporal pattern of CH4 emission, and 2) conducting a multi-variate analyses to assess the associative pattern, relative contribution and temporal variation of the main explanatory variables concerning the observed CH4 emissions. Measurements of CH4 emissions and agronomic and environmental parameters in 15 commercial rice fields were monitored monthly, during a whole crop field cycle. The temporal pattern of CH4 emission followed a bi-modal distribution peaking in August and October. The cumulative annual CH4 emissions from rice fields amounted 314 kg CH4 kg ha-1, of which ca. 70% were emitted during the fallow season. The main controlling factors of the CH4 emission rate in the growing season were positive related to water level and plant cover, while soil redox was negatively related. The main controlling factors in the fallow season were water level (negatively related, conversely to the growing season), as well as straw incorporation and soil temperature (positively related). The results of this study highlight the importance of the often neglected fallow season in the accurate estimation of CH4 emissions and, thus, the necessity of measurement programs that cover the whole crop field cycle. This information is the first step for setting effective mitigation strategies based on straw and water management.

Dataset Information

Underestimated Dry Season Methane Emissions from Wetlands in the Pantanal.

Publications

Underestimated Dry Season Methane Emissions from Wetlands in the Pantanal.

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