Unlocking the power of machine learning for Earth system modeling: A game‐changing breakthrough

Chen, Jiquan

doi:10.1111/gcb.16696

Cited by 3 publications

(1 citation statement)

References 18 publications

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“…This method has been widely applied in ecological studies such as ecological model prediction and importance analysis of environmental drivers (Archer & Kimes, 2008). The RF algorithm has been increasingly employed in mangrove studies to analyze the environmental drivers and predict variations in C fluxes (J. Chen, 2023; J. Liu et al., 2020; Zhao et al., 2022), providing more options and interpretations for ecological data. The mean decrease impurity method was used to assess the importance of candidate variables in the RF model (Breiman, 2001).…”

Section: Methodsmentioning

confidence: 99%

Global Warming Potentials of CO₂ Uptake, CH₄ Emissions, and Albedo Changes in a Restored Mangrove Ecosystem

Xu,

Li,

Tian

et al. 2024

JGR Biogeosciences

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Restoration of mangrove forests has garnered increasing global prominence as a nature‐based solution for carbon (C) sequestration. However, it was unclear whether the radiation forcing induced by methane (CH4) emissions and albedo changes during mangrove restoration processes can offset the cooling effect resulting from the net carbon dioxide (CO2) uptake. In this study, we measured the CO2, CH4, and albedo during 2020–2022 using an open‐path eddy covariance system in an 8‐year restored mangrove ecosystem afforested in Zhejiang Province, China. Their integrated global warming potentials (GWPs) were calculated to assess the climatic impact of mangrove restoration. The results showed that the restored mangroves functioned as a CO2 sink and a CH4 source, with annual values of −656.75 to −465.41 and 5.54 to 9.07 g C m−2 yr−1, respectively. The albedo varied slightly with a range of 0.11–0.13. The integrated GWPs of CO2, CH4, and albedo were −1,354.00 and −1,875.70 g CO2‐eq m−2 yr−1 over the 20‐ and 100‐year time horizons, respectively. The negative values indicated that the mangrove restoration had a net cooling effect, mainly due to CO2 uptake. The warming effects caused by CH4 emissions and albedo changes had the potential to partially offset CO2 uptake by 12.55%–36.51% and 0.08%–0.42%, respectively. Random forest analysis showed that photosynthetically active radiation (PAR) was the dominant driver on integrated GWPs with feature importance values of 0.34. Our results revealed that the cooling benefit of 8‐year restored mangroves remained significant, even when it was partially offset by CH4 emissions and albedo changes.

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Section: Methodsmentioning

confidence: 99%

Global Warming Potentials of CO₂ Uptake, CH₄ Emissions, and Albedo Changes in a Restored Mangrove Ecosystem

Xu,

Li,

Tian

et al. 2024

JGR Biogeosciences

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Vegetation coverage precisely extracting and driving factors analysis in drylands

Wang,

Gui,

Liu

et al. 2024

Ecological Informatics

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A machine learning scheme for estimating fine-resolution grassland aboveground biomass over China with Sentinel-1/2 satellite images

Li,

Xiao

et al. 2024

Remote Sensing of Environment

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Unlocking the power of machine learning for Earth system modeling: A game‐changing breakthrough

Cited by 3 publications

References 18 publications

Global Warming Potentials of CO₂ Uptake, CH₄ Emissions, and Albedo Changes in a Restored Mangrove Ecosystem

Global Warming Potentials of CO₂ Uptake, CH₄ Emissions, and Albedo Changes in a Restored Mangrove Ecosystem

Vegetation coverage precisely extracting and driving factors analysis in drylands

A machine learning scheme for estimating fine-resolution grassland aboveground biomass over China with Sentinel-1/2 satellite images

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Unlocking the power of machine learning for Earth system modeling: A game‐changing breakthrough

Cited by 3 publications

References 18 publications

Global Warming Potentials of CO2 Uptake, CH4 Emissions, and Albedo Changes in a Restored Mangrove Ecosystem

Global Warming Potentials of CO2 Uptake, CH4 Emissions, and Albedo Changes in a Restored Mangrove Ecosystem

Vegetation coverage precisely extracting and driving factors analysis in drylands

A machine learning scheme for estimating fine-resolution grassland aboveground biomass over China with Sentinel-1/2 satellite images

Contact Info

Product

Resources

About

Global Warming Potentials of CO₂ Uptake, CH₄ Emissions, and Albedo Changes in a Restored Mangrove Ecosystem

Global Warming Potentials of CO₂ Uptake, CH₄ Emissions, and Albedo Changes in a Restored Mangrove Ecosystem