Nonlinearity of China's Carbon Sink Increasing and Its Nonlinear Relationship With Land Use Patterns

ABSTRACT China's terrestrial carbon sink, quantified by net ecosystem productivity (NEP), has exhibited significant yet spatially heterogeneous growth over the past four decades, driven by climate change, land use transitions, and ecological restoration policies. However, the nonlinearity of NEP enhancement and its coupling mechanisms with dynamic land use patterns remain poorly understood. This study integrates linear trend analysis, ensemble empirical mode decomposition, and boosted regression tree (BRT) modeling to systematically unravel the nonlinear characteristics of NEP trends (1981–2019) and their landscape‐mediated drivers across four ecoregions. Key findings reveal that: (1) While 43.75% of China's land area showed a linear increase in NEP, only 13.46% exhibited monotonic growth (Trend IN ), whereas 16.46% displayed trend reversals (Trend DE‐TO‐IN ), highlighting dominant nonlinear dynamics. (2) Land use pattern indices (LUPI)—spanning fragmentation (PD), dominance (LPI), connectivity (CONTAG), shape complexity (AWMPFD), and diversity (SHDI)—demonstrated divergent trajectories: South China and the Tibetan Plateau (TP) experienced increasing fragmentation (PD increases) alongside declining connectivity (CONTAG decreases), while Northwest China (NWC) showed inverse patterns, reflecting region‐specific anthropogenic and ecological pressures. (3) Trend IN regions (e.g., NWC and TP) were governed by LPI in NWC and CONTAG, where threshold exceedance (slope > 0) stabilized carbon accumulation. The trend reversal regions of NEP relied on PD and AWMPFD, where initial declines in edge effects (slope < 0) preceded NEP recovery. Notably, NEP responses to LUPI gradients exhibited U‐shaped thresholds (slope = 0) in monotonically increasing regions but monotonic shifts in Trend DE‐TO‐IN zones, underscoring legacy effects of historical landscape configurations. By bridging landscape ecological theory with nonlinear trend decomposition, this study advances the understanding of how multiscale land use patterns regulate carbon sequestration, offering actionable insights for spatially adaptive land management to support China's “dual carbon” goals.

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Publication Details

Journal
Land Degradation and Development
Published
2025-05-19
DOI
https://doi.org/10.1002/ldr.5637
Citations
2
Primary Topic
Land Use and Ecosystem Services
Type
article
Field-Weighted Citation Impact
2.21

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article

Nonlinearity of China's Carbon Sink Increasing and Its Nonlinear Relationship With Land Use Patterns

Mingyang Zhang, Fusheng Jiao, Xiaojuan Xu, Chuanzhuang Liang et al.
2 citations
Land Degradation and Development
Land Use and Ecosystem Services
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article

Nonlinearity of China's Carbon Sink Increasing and Its Nonlinear Relationship With Land Use Patterns

Mingyang Zhang, Fusheng Jiao, Xiaojuan Xu, Chuanzhuang Liang, Zheng Wang, Haibo Gong, Peng Xue, Xiangzhen Qi, Huiyu Liu
article en
2 citations

Abstract

ABSTRACT China's terrestrial carbon sink, quantified by net ecosystem productivity (NEP), has exhibited significant yet spatially heterogeneous growth over the past four decades, driven by climate change, land use transitions, and ecological restoration policies. However, the nonlinearity of NEP enhancement and its coupling mechanisms with dynamic land use patterns remain poorly understood. This study integrates linear trend analysis, ensemble empirical mode decomposition, and boosted regression tree (BRT) modeling to systematically unravel the nonlinear characteristics of NEP trends (1981–2019) and their landscape‐mediated drivers across four ecoregions. Key findings reveal that: (1) While 43.75% of China's land area showed a linear increase in NEP, only 13.46% exhibited monotonic growth (Trend IN ), whereas 16.46% displayed trend reversals (Trend DE‐TO‐IN ), highlighting dominant nonlinear dynamics. (2) Land use pattern indices (LUPI)—spanning fragmentation (PD), dominance (LPI), connectivity (CONTAG), shape complexity (AWMPFD), and diversity (SHDI)—demonstrated divergent trajectories: South China and the Tibetan Plateau (TP) experienced increasing fragmentation (PD increases) alongside declining connectivity (CONTAG decreases), while Northwest China (NWC) showed inverse patterns, reflecting region‐specific anthropogenic and ecological pressures. (3) Trend IN regions (e.g., NWC and TP) were governed by LPI in NWC and CONTAG, where threshold exceedance (slope > 0) stabilized carbon accumulation. The trend reversal regions of NEP relied on PD and AWMPFD, where initial declines in edge effects (slope < 0) preceded NEP recovery. Notably, NEP responses to LUPI gradients exhibited U‐shaped thresholds (slope = 0) in monotonically increasing regions but monotonic shifts in Trend DE‐TO‐IN zones, underscoring legacy effects of historical landscape configurations. By bridging landscape ecological theory with nonlinear trend decomposition, this study advances the understanding of how multiscale land use patterns regulate carbon sequestration, offering actionable insights for spatially adaptive land management to support China's “dual carbon” goals.

Land Degradation and DevelopmentVol. 36(12)
Nanjing Normal University (CN), Chinese Academy of Sciences (CN), Ministry of Ecology and Environment (CN), Institute of Subtropical Agriculture (CN), Jiangsu Center for Collaborative Innovation in Geographical Information Resource Development and Application (CN), Zhanjiang Experimental Station (CN), Nanjing Institute of Environmental Sciences (CN)
National Natural Science Foundation of China, Priority Academic Program Development of Jiangsu Higher Education Institutions
Openalex Percentile: Top 13%
Land Use and Ecosystem Services
2.21
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