Impacts of Urban Expansion on the Loss and Fragmentation of Cropland in the Major Grain Production Areas of China

Yuan, Zifeng; Zhou, Liang; Sun, Dongqi; Hu, Fengning

doi:10.3390/land11010130

Cited by 19 publications

(14 citation statements)

References 37 publications

(36 reference statements)

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“…The study noted the importance of the size of the city as moderating variable: the largest, the first and the second tier cities conformed to the EKC relationship, while smaller cities were characterized by a linear relationship between the variables (e.g., continuous urban land‐cropland substitution). Another study of land use patterns conducted in China (Yuan et al, 2022) likewise identified nonlinearities in land use: “short‐term increase—long‐term decrease—short‐term increase” in the areas of cropland in major grain production areas, and continuous growth of urban land. The study also confirmed urban expansion as a major reason behind cropland loss.…”

Section: Theoretical Basis and Literature Reviewmentioning

confidence: 98%

Is there a Kuznets curve for cropland use? The evidence from international panel data

Trofimov

2023

Natural Resources Forum

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The environmental Kuznets curve (EKC) hypothesis assumes the nonlinear relationship between production and its environmental effects, suggesting that the negative effect of production on the natural environment is reversed at higher levels of development. In contrast to the majority of the studies, this paper considers the possibility of non‐linear effects of per capita output on agricultural land use (cropland), as one of the natural resource stocks, and additionally examines the influence of demographic and productivity variables on the agricultural land use. The study draws on panel data from 143 economies over the 1990–2019 period and employs a series of panel econometrics techniques (including panel unit root and cointegration tests, panel ordinary least squares, generalized method of moments, and panel quantile models). The results unequivocally indicate the inverted U‐shaped relationship between the GDP per capita and cropland use, as per EKC hypothesis. The results are robust with respect to employing different techniques, the identified turning points correspond to low and low‐middle‐income levels, and the effects of agricultural productivity and population density on land use are respectively negative and positive.

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Section: Theoretical Basis and Literature Reviewmentioning

confidence: 98%

Is there a Kuznets curve for cropland use? The evidence from international panel data

Trofimov

2023

Natural Resources Forum

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“…The dynamic degree of land use can quantitatively reflect the change speed of land use quantity in the study area (Yuan et al, 2022), and the formula is as follows:…”

Section: Land Use Dynamics and Land Transfer Matrixmentioning

confidence: 99%

Spatial and temporal changes in land and water resources on the northern slopes of the Tianshan mountains from the perspective of “production-living-ecological space”

Tian²,

Yang³

et al. 2023

Front. Environ. Sci.

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The rapidly growing social demand for water and land, along with increasingly constraining economic and social development, have intensified the conflicts between regional production, living, and ecological spaces (PLES). Water and land resources have become major obstacles to long-term growth in arid and semi-arid regions. Therefore, we propose a scenario-based framework for a production, living, and ecological spaces water resource assessment, integrating patch-generating land use simulation (PLUS), Shared Socioeconomic Pathways (SSPs), and multiple regression equations to analye the spatial and temporal variability of these resources on the northern slopes of the Tianshan Mountains (NSTM) and assess the future development of water resources. The results show: 1) from 2000 to 2020, land use types on the northern slopes of the Tianshan Mountains were dominated by ecological land, which decreased to 11,793 km2; production and domestic land use increased. Water for production and ecological use accounted for approximately 93% and a minor proportion of the total water use, respectively. 2) Production land is mainly influenced by population density and Gross Domestic Product (GDP), living land by population density, and ecological land by precipitation and topographic factors. 3) The PLUS model had good applicability, with a kappa coefficient, overall accuracy, and FoM of 0.81, 0.88, and 0.28, respectively. 4) The total water use in the northern slopes of the Tianshan Mountains will increase under all three scenarios between 2030 and 2050, but by varying degrees. Production water use accounts for the most significant proportion (93%), with its use decreasing by 305 million m3 under the SSP3 scenario. Domestic water use shows a slow increase under all three scenarios. Further development of the northern slopes of the Tianshan Mountains should take account of regional ecological vulnerability, and water use for production should be controlled based on existing water resources and ecological capacity to reduce pressure on the environment and provide essential ecological protection and sustainable development.

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“…The topography of Yangzhou influenced the urban land supply suitability due to its special features, displaying a fan-shaped slope from west to east. Urban land expansion was mainly fulfilled by occupying farmland, as farmland was the main supply source of urban land [ 24 , 25 ]. Thus, in this study, slope, elevation, and farmland area were selected as indicators to evaluate the regional endowment feature.…”

Section: Framework Analyzing the Driving Factors Of Urban Land Expans...mentioning

confidence: 99%

The Driving Mechanism of Urban Land Expansion from 2005 to 2018: The Case of Yangzhou, China

Lin

2022

IJERPH

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The driving mechanism of expansion is the basis for policymaking in urban land management and control. In this study, Yangzhou city in China was used as an example. Based on the supply and demand theory of land, a framework was constructed to analyze the driving factors behind urban land expansion. Path analysis was used to determine the direct and indirect factors driving urban land expansion. The results showed the following: (1) Urban land in Yangzhou city expanded 32,831.10 hm2 from 2005 to 2018, mainly in terms of farmland. This rapid expansion arose from the contraction of rural residential areas, threatening ecological spaces such as water bodies. (2) Path analysis indicated that fixed-asset investment, the added value of secondary and tertiary industries, urban population, distance to the city center, and farmland area are the direct factors driving urban land expansion. Land finance, technology input, and transportation ability indirectly influence urban land by affecting other driving factors. (3) Increasing the level of urban land-use intensification, properly adjusting economic development goals, reasonably controlling the population, exploring the retention of construction land in city centers, and optimizing farmland and basic farmland plans need to be considered in the management and control of urban land expansion. Furthermore, to guide the orderly expansion of urban land, improving land management systems, promoting scientific and technological progress, and scientifically designing transportation land are necessary strategies.

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Impacts of Urban Expansion on the Loss and Fragmentation of Cropland in the Major Grain Production Areas of China

Cited by 19 publications

References 37 publications

Is there a Kuznets curve for cropland use? The evidence from international panel data

Is there a Kuznets curve for cropland use? The evidence from international panel data

Spatial and temporal changes in land and water resources on the northern slopes of the Tianshan mountains from the perspective of “production-living-ecological space”

The Driving Mechanism of Urban Land Expansion from 2005 to 2018: The Case of Yangzhou, China

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