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Research article2021Peer reviewedOpen access

Spatiotemporal Assessment of GHG Emissions and Nutrient Sequestration Linked to Agronutrient Runoff in Global Wetlands

Pasut, Chiara; Tang, Fiona H. M.; Hamilton, David; Riley, William J.; Maggi, Federico

Abstract

Wetlands play a key role in regulating global greenhouse gas (GHG) emissions but anthropogenic impacts on nutrients may severely alter this balance. Recent assessments indicate that almost 22% of the global wetland area may be affected by agricultural runoff. In this work, we developed and applied a dynamic mechanistic reaction network model of soil organic matter linking the carbon (C), nitrogen (N), and sulfur (S) cycles at 0.5 degrees x 0.5 degrees spatial resolution across the globe. The model was used to estimate GHG emissions and nutrient sequestration rates in wetlands, driven by environmental stressors including N, P, and S fertilization. Wetland annual GHG emissions are estimated to be 136 +/- 12.5 Tg C-CH4, 589 +/- 45.8 Tg C-CO2, and 0.3 +/- 0.04 Tg N-N2O; in contrast, C, N, and S annual sequestration rates are estimated to be 576 +/- 88.1 Tg C, 20 +/- 4.4 Tg N, and 7.4 +/- 0.8 Tg S, between 2000 and 2017. N fertilization inputs were responsible for 13% N2O emissions in wetlands in the Northern Hemisphere, while tropical wetlands were major reservoirs for C, N, and S. Temperature, net primary productivity, and methanogenic microorganisms exert the major control on GHG emissions. Wetland CH4 and CO2 emissions were found to have a hysteretic relationship with seasonal soil temperature, but not N2O. A global-scale assessment is pivotal for best nutrient management practices, reducing nutrient losses, and controlling gas emissions.

Keywords

agricultural runoff; global‐scale modeling; wetland GHG; wetland nutrients cycles

Published in

Global Biogeochemical Cycles
2021, Volume: 35, number: 4, article number: e2020GB006816
Publisher: American Geophysical Union ({AGU})

    UKÄ Subject classification

    Environmental Sciences

    Publication identifier

    DOI: https://doi.org/10.1029/2020gb006816

    Permanent link to this page (URI)

    https://res.slu.se/id/publ/114620