2023
DOI: 10.1029/2023ef003602
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Substantially Enhanced Landscape Carbon Sink Due To Reduced Terrestrial‐Aquatic Carbon Transfer Through Soil Conservation in the Chinese Loess Plateau

Abstract: Terrestrial ecosystems as a significant carbon (C) sink are a key player modulating atmospheric carbon dioxide (CO 2 ) and Earth's climate. Accurately quantifying the magnitude of the land C sink is therefore crucial for improving global C accounting and developing effective climate change mitigation strategies. Accruing evidence suggests that terrestrial ecosystems are not isolated from other earth systems with all the absorbed C being permanently stored on land (Butman et al., 2016;Ciais et al., 2020). In co… Show more

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Cited by 8 publications
(2 citation statements)
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“…Consequently, the inland water C emissions on the Loess Plateau play a disproportionately small role in offsetting the corresponding terrestrial C sink, considerably lower than that in tropical and temperate regions (for example, Butman & Raymond, 2011; Duvert et al., 2020). Large‐scale soil conservation in this region has further reduced the C emission fluxes and accordingly, their significance in landscape‐scale C budget (Ran et al., 2023).…”
Section: Driving Factors Of Carbon Emissions From Chinese Inland Watersmentioning
confidence: 99%
“…Consequently, the inland water C emissions on the Loess Plateau play a disproportionately small role in offsetting the corresponding terrestrial C sink, considerably lower than that in tropical and temperate regions (for example, Butman & Raymond, 2011; Duvert et al., 2020). Large‐scale soil conservation in this region has further reduced the C emission fluxes and accordingly, their significance in landscape‐scale C budget (Ran et al., 2023).…”
Section: Driving Factors Of Carbon Emissions From Chinese Inland Watersmentioning
confidence: 99%
“…However, there are still many shortcomings. First, evaluations of terrestrial ecosystem carbon are usually conducted at large scales, such as continents (Winkler et al 2023), countries (Uchale et al 2023) and provinces (Ran et al 2023), and the resolution is often not high. Additionally, due to the use of different data sources and models, such as the Ecosystem process modelling method (He et al 2019), the Atmospheric inversion method , the Eddy covariance method (Yu et al 2014) and the Inventory method (Piao et al 2009), the amount of carbon sink/ source in China still faces significant uncertainties; carbon sink values varied between 0.1 Pg C/yr and higher than 1.0 Pg C/yr (Chuai et al 2018).…”
mentioning
confidence: 99%