The Evolution of Land Resource Carrying Capacity in 35 Major Cities in China

Luo, Wenzhu; Jin, Chi; Shen, Liyin

doi:10.3390/su14095178

Cited by 7 publications

(6 citation statements)

References 36 publications

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“…This coincides with existing research outcomes [17][18][19]31]. This study refines the LCC model found in the literature [60][61][62] by incorporating food nutrition into the evaluation system. One of the findings of this research is that the LCC in China maintained a continuous surplus from 1990 to 2020, but is beginning to have a declining trend.…”

Section: Innovations and Contributionssupporting

confidence: 88%

Land Carrying Capacity in China: A Perspective on Food Nutritional Demand

Zhang,

Tan,

et al. 2023

Foods

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The sustainable and stable population support capacity of a country or region is of great concern. This study proposes a new method for evaluating the land carrying capacity (LCC) based on food nutrition demand and establishes a clear link between nutritional health and land. We delved into the evolving dynamics of food consumption and production structures in China between 1990 and 2020, with a focus on the spatial variations among its 31 provinces. The objectives of this study were to assess the status of LCC, identify the critical nutritional factors constraining LCC enhancement, and propose differentiated pathways for improving LCC. The results showed that: (1) There has been a steady increase in the annual consumption of animal-based products, while plant-based product consumption has declined. (2) Overall, food supply capacity has expanded, displaying an “east high, west low” trend, resulting in an imbalanced food supply level. (3) The LCC for energy and carbohydrates exhibited continuous fluctuating growth but displayed a declining trend after 2018. (4) The pressure on land carrying capacity has shifted from a state of “surplus” to “abundant surplus,” signifying a safe food system level. However, significant spatial variations persist, leading to shortages and surpluses. Therefore, this work suggests that addressing these disparities requires the optimization of food consumption structures and increasing the supply of animal-based foods. This approach leverages regional advantages and reduces disparities in regional LCCs. This study provides a valuable reference for ensuring food security in response to unprecedented global changes in sustainable development.

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Section: Innovations and Contributionssupporting

confidence: 88%

Land Carrying Capacity in China: A Perspective on Food Nutritional Demand

Zhang,

Tan,

et al. 2023

Foods

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“…In addition, official data also have the advantages of comparability, which facilitate cross-regional and comparative temporal analysis. Many previous studies have utilized official data as the foundation for their research, so this study also chooses to use official statistical data as the primary source of data [22,66]. The study uses panel data from 2000 to 2020 for the 13 MGPAs in China.…”

Section: Data Sourcementioning

confidence: 99%

“…Since the LRCC system is complex, it is difficult to directly determine the classification of the LRCC scores. Therefore, with reference to Luo et al (2022) [22], the LRCC scores were classified into five categories by calculating the average quintiles of the LRCC scores (Q 1 -Q 4 ) of the 13 provinces in the MGPAs in a certain year, as shown in Figure 2. Provinces with LRCC scores lower than or equal to the first quintile (Q 1 ) are considered to be great surplus provinces, indicating that their socioeconomic development is substantially below the carrying capacity of land resources.…”

Section: Determination Of Lrcc Score Classificationmentioning

confidence: 99%

“…As global land development intensifies, the humanland relationship has become increasingly strained, leading to a comprehensive study of LRCC worldwide [17]. Previous research has focused on agricultural land [18] and urban land [19,20], with a scope ranging from a single city [21] to larger spatial regions such as major cities [22,23] and urban agglomerations [24]. In terms of research content, spatial and temporal changes [25,26], improvement measures [25,27], and prediction of evolutionary trends [3] have been studied extensively.…”

Section: Introductionmentioning

confidence: 99%

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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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“…Development requires continuous acquisition of resources, and land is the carrier and body of those resources (Luo et al, 2022). However, land's scarcity and non-renewability can lead to intensifying conflicts between land functions.…”

Section: Introductionmentioning

confidence: 99%

Eco-environmental effect and driving factors of changing “production-living-ecological space” in northern Xinjiang, China

Wang,

et al. 2023

Front. Ecol. Evol.

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Northern Xinjiang is the center of gravity for Xinjiang's economic development, and "production-living-ecological space" (PLES) is of great significance to the optimization of regional territorial spatial structure. Taking northern Xinjiang as our study area, we analyze the spatial and temporal variations of the ecological and environmental effects of PLES evolution from 2000 to 2020. To do so, we apply the grid cell method, the ecological and environmental quality index, the global autocorrelation model, and the kernel density estimation. Additionally, we use a geographic detector model to reveal the drivers of spatial variation in ecological and environmental quality. Results show that from 2000 to 2020, PLES in the study area is mainly ecological accommodation land. However, there is an obvious trend showing a decrease in ecological accommodation land area and an increase in other land types. Production land and living land increased the most, among which agricultural land and industrial land were mainly converted from grassland ecological land and water ecological land, respectively. The quality of the ecological environment is basically stable during the study period, with an overall slight declining trend, which indicates the quality of ecological environment has decreased slightly. The spatial distribution of the eco-environmental effect shows a significant spatial autocorrelation pattern of "dense in the west and sparse in the east", along with a spatial clustering phenomenon. The main factor of spatial variation in ecological quality is elevation, and the interactions between the factors are mainly non-linearly and double-factor enhanced. The spatial differentiation of ecological environmental quality in the study area is the result of multiple factors. Exploring the ecological and environmental effects of PLES evolution and its driving factors can provide a scientific basis for the implementation of territorial spatial planning and ecological environmental protection in northern Xinjiang.

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The Evolution of Land Resource Carrying Capacity in 35 Major Cities in China

Cited by 7 publications

References 36 publications

Land Carrying Capacity in China: A Perspective on Food Nutritional Demand

Land Carrying Capacity in China: A Perspective on Food Nutritional Demand

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

Eco-environmental effect and driving factors of changing “production-living-ecological space” in northern Xinjiang, China

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