Carbon Storage Distribution and Influencing Factors in the Northern Agro-Pastoral Ecotone of China

Bolun Zhang and Haiguang Hao ()
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Bolun Zhang: Chinese Research Academy of Environmental Sciences, Beijing 100012, China
Haiguang Hao: Chinese Research Academy of Environmental Sciences, Beijing 100012, China

Sustainability, 2025, vol. 17, issue 22, 1-28

Abstract: Under the global goals of carbon peaking and carbon neutrality, China’s northern agro-pastoral ecotone—an ecologically fragile transition zone with drastic land use/cover change (LUCC)—is characterized by a lack of in-depth understanding of its “land use conflict–carbon sink response” mechanism, which is essential for regional land optimization and carbon neutrality. This study quantified the spatiotemporal dynamics of carbon storage in the zone from 2000 to 2020 using the InVEST model and identified key driving factors by combining the XGBoost model (R 2 = 0.73–0.88) with the SHAP framework. The results showed that regional total carbon storage increased by 30.11 × 10 6 tons (a net growth of 0.57%), mainly driven by forest carbon sinks (+65.74 × 10 6 tons, accounting for 218.3% of the total increase), while cropland and grassland underwent continuous carbon loss (−53.87 × 10 6 tons and −35.80 × 10 6 tons, respectively). Spatially, this presents a pattern of “high-value agglomeration in the central–southern region and low-value fragmentation at urban–rural edges”. The Normalized Difference Vegetation Index (NDVI) was the primary driver (average SHAP value: 426.15–718.91), with its interacting temperature factor evolving from air temperature (2000) to nighttime surface temperature (2020). This study reveals the coupling mechanism of “vegetation restoration–microenvironment regulation–carbon sink gain” driven by the Grain for Green Program, providing empirical support for land use optimization and carbon neutrality in agro-pastoral areas.

Keywords: agro-pastoral ecotone; InVEST; XGBoost; SHAP (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2025
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