Soil Organic Carbon Sequestration Potential, Storage, and Drivers in China DOI

Jinhua Cao,

Zipeng Zhang, Jianli Ding

и другие.

Опубликована: Янв. 1, 2024

Gaining a deeper understanding of the soil organic carbon sequestration potential (SOCsp) is crucial in our efforts to combat climate change, reduce emissions, enhance sinks, and achieve sustainable development goals. However, there dearth spatial information specifically for China this field, knowledge regarding factors influencing SOCsp remains somewhat limited. In study, we used legacy data collected 1980s (1979-1985), combined with climatic landscape zoning, adopted digital mapping techniques prediction models density were built at each five depths. The results showed that accuracy 0–30 cm model was greater than 30–100 model. higher northwestern, northern, eastern lower southeastern Tibetan Plateau northeastern China. Relatively high predict uncertainties observed around Tien Shan Mountains, part Plateau, 0–1 m depth 346.1 Pg (1 = 1012 Kg), which accounted 23.51% total. Scale- location-specific effects environmental factors, is, land use conversion, climate, vegetation on SOCsp, two-factor being one factor effects. Our findings have provided scientific basis decision-making support change responses. specialized investigations studies management practices are still necessary estimate achievable reserves more accurately implement feasibility.

Язык: Английский

Soil Organic Carbon Sequestration Potential, Storage, and Drivers in China DOI

Jinhua Cao,

Zipeng Zhang, Jianli Ding

и другие.

Опубликована: Янв. 1, 2024

Gaining a deeper understanding of the soil organic carbon sequestration potential (SOCsp) is crucial in our efforts to combat climate change, reduce emissions, enhance sinks, and achieve sustainable development goals. However, there dearth spatial information specifically for China this field, knowledge regarding factors influencing SOCsp remains somewhat limited. In study, we used legacy data collected 1980s (1979-1985), combined with climatic landscape zoning, adopted digital mapping techniques prediction models density were built at each five depths. The results showed that accuracy 0–30 cm model was greater than 30–100 model. higher northwestern, northern, eastern lower southeastern Tibetan Plateau northeastern China. Relatively high predict uncertainties observed around Tien Shan Mountains, part Plateau, 0–1 m depth 346.1 Pg (1 = 1012 Kg), which accounted 23.51% total. Scale- location-specific effects environmental factors, is, land use conversion, climate, vegetation on SOCsp, two-factor being one factor effects. Our findings have provided scientific basis decision-making support change responses. specialized investigations studies management practices are still necessary estimate achievable reserves more accurately implement feasibility.

Язык: Английский

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