Cropland abandonment in China: Patterns, drivers, and implications for food security

Guo, Andong; Yue, Wenze; Yang, Jun; Xue, Bing; Xiao, Wu; Li, Mengmeng; He, Tingting; Zhang, Maoxin; Jin, Xin; Zhou, Qiushi

doi:10.1016/j.jclepro.2023.138154

Cited by 38 publications

(14 citation statements)

References 56 publications

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“…In addition, three food demand levels, three ecological water demand levels, three irrigation efficiencies, three electricity demand levels, three constraint‐violation probability (p) levels (0.05, 0.10, 0.15) and three credibility ( α ) levels (0.5, 0.75, 1.0) are analyzed, leading to 729 scenarios (scenario is abbreviated as S in figures). Since the internationally recognized food security line is 400 kg/per, the three food demand levels designed in this study are 400 kg, 413.2 and 425.6 kg for L, M and H levels, respectively (Guo et al., 2023). The design of 729 planning schemes is provided in Table S1 in Supporting Information .…”

Section: Case Studymentioning

confidence: 99%

Collaborative Management of Water‐Energy‐Food‐Ecosystems Nexus in Central Asia Under Uncertainty

Ma,

Li,

Huang

et al. 2024

Water Resources Research

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Collaborative management of the water‐energy‐food‐ecosystems (WEFE) nexus can contribute significantly to sustainable development. However, multiple decision‐making levels with diverse preferences and multiple uncertainties in different forms pose intractable challenges to the management process. In this study, a novel optimization method named as multi‐level chance‐constrained fuzzy programming (MCFP) is developed to jointly manage the WEFE nexus. MCFP has advantages in evaluating trade‐offs among multiple competitive decision makers, solving decentralized planning problems with hierarchical structure, and tackling uncertainties expressed as randomness and vagueness. MCFP is then applied to the WEFE nexus in Central Asia, where five countries, 43 states, six water sources, and eight water users are involved over a long‐term planning horizon (2021–2050). A set of scenarios are designed to reflect decision‐making preferences based on different irrigation efficiencies, food, ecological and electricity demands as well as constraint‐violation probability and system credibility levels. The major findings are: (a) the proportion of agricultural water allocation would reduce to 45.4%–56.6% by 2050 to save more water for ensuring ecological restoration and energy supply; and (b) in order to balance water demands and support regional sustainable development, policymakers should sacrifice some of the benefits, set strict arable land limits for cereal crops, improve irrigation efficiency through adopting drip and sprinkler irrigation, and avoid the effects of the irrigation efficiency paradox. The findings are helpful for policymakers in gaining insight into the interrelationships of water, energy, food and ecosystems as well as making decisions for collaborative management of the WEFE nexus system.

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Section: Case Studymentioning

confidence: 99%

Collaborative Management of Water‐Energy‐Food‐Ecosystems Nexus in Central Asia Under Uncertainty

Ma,

Li,

Huang

et al. 2024

Water Resources Research

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“…Together with the effects of inflation, which have increased the financial pressure on farmers, these social and economic macro factors are reducing farmers' motivation to cultivate their farmland. As a result, many highly skilled workers have migrated to the cities, labor has moved to secondary and tertiary industries, and farmland is increasingly lying fallow [68]; these factors have led to inefficient use of farmland. Therefore, low cereal price is not only an important factor limiting the improvement of CLIU but also the driving force behind nongrain production on cultivated land [69].…”

Section: Impact Of Socio-economic Factors On Cliumentioning

confidence: 99%

Spatial Heterogeneity and Driving Mechanisms of Cultivated Land Intensive Utilization in the Beibu Gulf Urban Agglomeration, China

Zhang,

Zhang

2024

Sustainability

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Cultivated land intensive utilization (CLIU) exhibits spatial heterogeneity that is influenced by both natural and anthropogenic factors, with land dissected into different scale systems; however, CLIU has not yet been systematically explored. This study takes the Beibu Gulf urban agglomeration, a national-level model area for integrated land and sea development in China, as an example to investigate the spatial heterogeneity of CLIU and explore its driving factors through multiple econometrical and geographical methods, including identifying its underlying mechanisms. The results indicate that (1) the CLIU index is 0.334, its Gini coefficient is 0.183, and its comprehensive level has a low intensity and obvious spatial nonequilibrium characteristics. Hypervariable density (50.33%) and the intraprovincial gap (45.6%) are the main sources. (2) Among the independent effects of single factors, the multiple cropping index (0.57), labor force index (0.489), and intensification of construction land (0.375) exert the most influence on CLIU spatial variation. The interaction effects of two factors primarily manifested as nonlinear enhancements, with the interaction between the labor force index and multiple cropping index being particularly noteworthy (0.859). (3) The geographically weighted regression coefficients reveal that temperature (0.332), multiple cropping index (0.211), and labor force index (0.209) have relatively large and positive impacts on CLIU, while slope (−0.1), precipitation (−0.087), and population urbanization (−0.039) have relatively small and negative impacts; all factors exhibit spatial nonstationarity. The spatial heterogeneity of CLIU in the Beibu Gulf urban agglomeration is characterized by patterns’ nonequilibrium and factors’ nonstationarity. The driving mode of multiple factors on CLIU is manifested as follows: natural factors of cropland utilization provide basic guarantees, internal factors of CLIU provide positive enhancement, and external factors of land intensive utilization provide auxiliary promotion.

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“…The essence of terrace abandonment is the abandonment of arable land, with its primary impact being the challenge to food production, which has a significant negative impact on food production and threatens national food security to a certain extent [36]. The scale of abandoned terraces in the southwest mountainous areas has reached 449,360 ha, and according to the average yield of rice terraces in south China of 6510 kg/ha, the loss of grain production capacity due to terrace abandonment in this region amounts to approximately 2.96 × 10 9 kg (2.96 million tons) per year.…”

Section: The Effect Of Terrace Abandonmentmentioning

confidence: 99%

Spatial Patterns, Drivers, and Sustainable Utilization of Terrace Abandonment in Mountainous Areas of Southwest China

Ren,

Yang,

Wang

2024

Land

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Sloping farmland abandonment has become a typical land use pattern worldwide. Along with the aggravation of sloping farmland abandonment, terrace abandonment is also showing an increasing trend. Systematically clarifying the pattern and mechanism of terrace abandonment is a prerequisite for effective management. Based on the survey data of 145 villages, 697 rural households, and satellite remote sensing in Southwest China, this study uses spatial analysis and the Logit model to reveal the scale, pattern, and driving mechanism of terrace abandonment in the study area to provide scientific references for the sustainable utilization of terrace resources in mountainous areas. This study found that in the study area, 63% of the villages had experienced terrace abandonment, and nearly one-fifth of the rural households had abandoned terraces. The area of abandoned terraces accounted for 7.65% of the total area, and the scale of abandoned terraces reached 449,360 hectares, of which Chongqing has the highest proportion of terrace abandonment (11.5%), while Yunnan Province has the lowest (5.1%); the overall abandoned terraces show a pattern of higher in the east and lower in the west. Terrace abandonment is influenced by multiple factors. The rise in non-agricultural wages attracts rural labor migration as an external force, while the rising operating costs of mountain agriculture serve as internal drivers. Under the combined influence of internal and external factors, the abandonment of terraces in southwest mountainous areas is intensifying. The government should actively conduct assessments of terrace resources within the region and implement targeted measures to address terrace abandonment.

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Cropland abandonment in China: Patterns, drivers, and implications for food security

Cited by 38 publications

References 56 publications

Collaborative Management of Water‐Energy‐Food‐Ecosystems Nexus in Central Asia Under Uncertainty

Collaborative Management of Water‐Energy‐Food‐Ecosystems Nexus in Central Asia Under Uncertainty

Spatial Heterogeneity and Driving Mechanisms of Cultivated Land Intensive Utilization in the Beibu Gulf Urban Agglomeration, China

Spatial Patterns, Drivers, and Sustainable Utilization of Terrace Abandonment in Mountainous Areas of Southwest China

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