Study of Township Construction Land Carrying Capacity and Spatial Pattern Matching in Loess Plateau Hilly and Gully Region: A Case of Xifeng in China

Zhao, Yongxiang; Li, Tongsheng; Li, Julin; Meng-wei, Song

doi:10.3390/ijerph192316316

Cited by 1 publication

(1 citation statement)

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“…Research has pointed out that once the pressure exerted by human activities exceeds the carrying capacity of land resources, it will result in irreversible damage to the land resource system [9]. Therefore, ensuring the sustainable use of land resources is an inevitable choice for achieving sustainable development [10,11], which has become a global concern [12,13].…”

Section: Introductionmentioning

confidence: 99%

Assessing Land Resource Carrying Capacity in China’s Main Grain-Producing Areas: Spatial–Temporal Evolution, Coupling Coordination, and Obstacle Factors

Jiang,

Tang,

et al. 2023

Sustainability

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The land resources in the main grain-producing areas (MGPAs) provide a solid foundation for grain production, and promotion of the sustainable utilization of land resources in these areas is crucial for ensuring national food security. To comprehensively assess the land resource carrying capacity (LRCC) in China’s MGPAs, we utilized the driver-pressure-state-impact-response (DPSIR) framework and applied the analytic hierarchy process (AHP) and entropy weight (EW) method to analyze the spatial–temporal evolution of LRCC in China’s MGPAs from 2000 to 2020. By establishing a coupling coordination model, we explored the coupling coordination relationships among LRCC subsystems and identified key factors hindering the balanced development of LRCC using an obstacle degree model. The research results indicate that the LRCC in China’s MGPAs generally shows an increasing trend with a continuously growing rate, with the LRCC in the southern regions surpassing that in the northern regions. The overall coupling coordination of LRCC demonstrates an increasing trend, although the growth rate is decreasing. The coupling coordination level of LRCC in the southern regions is generally higher than that in the northern regions, and the gap in coordination levels between various regions is narrowing. The state and pressure subsystems significantly influence the balanced development of LRCC. Indicators such as arable land area per capita, grain production yield per unit area of arable land, grain production yield per capita, forest land area per capita, and grassland area per capita play vital roles in the development of LRCC. Based on these findings, we have put forward targeted recommendations.

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