Practical guide to measuring wetland carbon pools and fluxes

S Bansal, IF Creed, BA Tangen, SD Bridgham… - Wetlands, 2023 - Springer
Wetlands cover a small portion of the world, but have disproportionate influence on global
carbon (C) sequestration, carbon dioxide and methane emissions, and aquatic C fluxes …

Estimation methods of wetland carbon sink and factors influencing wetland carbon cycle: A review

L Li, H Xu, Q Zhang, Z Zhan, X Liang, J **ng - Carbon Research, 2024 - Springer
In the global ecosystem, wetlands are vital carbon sinks, playing a crucial role in absorbing
greenhouse gases such as carbon dioxide and mitigating global warming. Accurate …

Stable gap-filling for longer eddy covariance data gaps: A globally validated machine-learning approach for carbon dioxide, water, and energy fluxes

S Zhu, R Clement, J McCalmont, CA Davies… - Agricultural and Forest …, 2022 - Elsevier
Continuous time-series of CO 2, water, and energy fluxes are useful for evaluating the
impacts of climate-change and management on ecosystems. The eddy covariance (EC) …

Ensemble machine learning for modeling greenhouse gas emissions at different time scales from irrigated paddy fields

Z Jiang, S Yang, P Smith, Q Pang - Field Crops Research, 2023 - Elsevier
Quantifying greenhouse gas (GHG) emissions from irrigated paddy fields is of great
significance for addressing climate change. Machine learning (ML) provides an alternative …

Paddy rice methane emissions across Monsoon Asia

Z Ouyang, RB Jackson, G McNicol… - Remote Sensing of …, 2023 - Elsevier
Although rice cultivation is one of the most important agricultural sources of methane (CH 4)
and contributes∼ 8% of total global anthropogenic emissions, large discrepancies remain …

Large increases in methane emissions expected from North America's largest wetland complex

S Bansal, M Post van der Burg, RR Fern, JW Jones… - Science …, 2023 - science.org
Natural methane (CH4) emissions from aquatic ecosystems may rise because of human-
induced climate warming, although the magnitude of increase is highly uncertain. Using an …

A widely-used eddy covariance gap-filling method creates systematic bias in carbon balance estimates

H Vekuri, JP Tuovinen, L Kulmala, D Papale… - Scientific Reports, 2023 - nature.com
Climate change mitigation requires, besides reductions in greenhouse gas emissions,
actions to increase carbon sinks in terrestrial ecosystems. A key measurement method for …

Causality guided machine learning model on wetland CH4 emissions across global wetlands

K Yuan, Q Zhu, F Li, WJ Riley, M Torn, H Chu… - Agricultural and Forest …, 2022 - Elsevier
Wetland CH 4 emissions are among the most uncertain components of the global CH 4
budget. The complex nature of wetland CH 4 processes makes it challenging to identify …