Hydrological Threshold for Optimizing Wetland Climate Mitigation

Abstract Wetland carbon cycling reflects an intrinsic balance between CO 2 sequestration and anaerobic methane production, though hydrological drivers remain insufficiently quantified. Here, we synthesize eddy covariance data from 43 natural wetlands spanning diverse climates and hydrological regimes to quantify greenhouse gas (GHG) responses to water table depth (WTD). Both net ecosystem productivity and methane fluxes exhibit consistent unimodal relationships with WTD, peaking at 50 and 60 cm above the surface, respectively. While robust in temperate wetlands, uneven data distribution limits confirming this exact unimodal pattern in tropical and boreal systems. Accounting for GHG temperature sensitivity, 500 years radiative forcing simulations reveal that near surface water tables maximize long term cooling and sustain mitigation efficacy under future warming, whereas deeper or persistently flooded conditions diminish net climate benefits. These findings provide a generalized benchmark for optimizing wetland restoration to advance nature‐based climate solutions.

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Publication Details

Journal
Geophysical Research Letters
Published
2026-07-25
DOI
https://doi.org/10.1029/2026gl123743
Primary Topic
Peatlands and Wetlands Ecology
Type
article
Field-Weighted Citation Impact
0.00

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article

Hydrological Threshold for Optimizing Wetland Climate Mitigation

Guirui Yu, Jianxing Zhu, Jinshuai Li, Sara Knox et al.
Geophysical Research Letters
Peatlands and Wetlands Ecology
article

Hydrological Threshold for Optimizing Wetland Climate Mitigation

Guirui Yu, Jianxing Zhu, Jinshuai Li, Sara Knox, Zhi Chen, Tianxiang Hao, Meng Yang, Hongyang Chen, Qiufeng Wang
article en

Abstract

Abstract Wetland carbon cycling reflects an intrinsic balance between CO 2 sequestration and anaerobic methane production, though hydrological drivers remain insufficiently quantified. Here, we synthesize eddy covariance data from 43 natural wetlands spanning diverse climates and hydrological regimes to quantify greenhouse gas (GHG) responses to water table depth (WTD). Both net ecosystem productivity and methane fluxes exhibit consistent unimodal relationships with WTD, peaking at 50 and 60 cm above the surface, respectively. While robust in temperate wetlands, uneven data distribution limits confirming this exact unimodal pattern in tropical and boreal systems. Accounting for GHG temperature sensitivity, 500 years radiative forcing simulations reveal that near surface water tables maximize long term cooling and sustain mitigation efficacy under future warming, whereas deeper or persistently flooded conditions diminish net climate benefits. These findings provide a generalized benchmark for optimizing wetland restoration to advance nature‐based climate solutions.

Geophysical Research LettersVol. 53(14)
University of British Columbia (CA), Chinese Academy of Sciences (CN), Institute of Geographic Sciences and Natural Resources Research (CN), University of Chinese Academy of Sciences (CN), Northeast Forestry University (CN), McGill University (CA)
National Natural Science Foundation of China, National Key Research and Development Program of China
Climate action
Openalex Percentile: Top 9%
Peatlands and Wetlands Ecology
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