Understanding the impact of cultivated land-use changes on China's grain production potential and policy implications: A perspective of non-agriculturalization, non-grainization, and marginalization

Journal of Cleaner Production, Год журнала: 2024, Номер 436, С. 140647 - 140647

Опубликована: Янв. 1, 2024

Язык: Английский

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Quantifying the impact of urban trees on land surface temperature in global cities

ISPRS Journal of Photogrammetry and Remote Sensing, Год журнала: 2024, Номер 210, С. 69 - 79

Опубликована: Март 12, 2024

Язык: Английский

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The neglected cost: Ecosystem services loss due to urban expansion in China from a triple-coupling perspective

Environmental Impact Assessment Review, Год журнала: 2025, Номер 112, С. 107827 - 107827

Опубликована: Янв. 20, 2025

Язык: Английский

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Continuing the continuous harvests of food production: from the perspective of the interrelationships among cultivated land quantity, quality, and grain yield

Humanities and Social Sciences Communications, Год журнала: 2025, Номер 12(1)

Опубликована: Янв. 11, 2025

Язык: Английский

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Understanding the spatial distribution patterns and dominant determinants of farmland abandonment in China

Habitat International, Год журнала: 2025, Номер 156, С. 103298 - 103298

Опубликована: Янв. 17, 2025

Язык: Английский

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Unveiling grain production patterns in China (2005–2020) towards targeted sustainable intensification

Agricultural Systems, Год журнала: 2024, Номер 216, С. 103878 - 103878

Опубликована: Фев. 2, 2024

Язык: Английский

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Constructing cropland ecological stability assessment method based on disturbance-resistance-response processes and classifying cropland ecological types

The Science of The Total Environment, Год журнала: 2024, Номер 930, С. 172673 - 172673

Опубликована: Апрель 25, 2024

Язык: Английский

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Spatio-temporal characteristics and driving factors of cultivated land change in various agricultural regions of China: A detailed analysis based on county-level data

Ecological Indicators, Год журнала: 2024, Номер 166, С. 112485 - 112485

Опубликована: Авг. 10, 2024

Язык: Английский

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Identification, Mechanism and Countermeasures of Cropland Abandonment in Northeast Guangdong Province

Land, Год журнала: 2025, Номер 14(2), С. 246 - 246

Опубликована: Янв. 24, 2025

Cropland serves as the most vital resource for agricultural production, while its security is primarily threatened by abandonment. Northeast Guangdong Province features a fragmented terrain and faces significant issue of farmland It crucial to analyze phenomenon cropland abandonment safeguard food security. However, due limitations in data sources attribution methods, previous studies struggled comprehensively characterize driving mechanisms abandoned land. Using from Sentinel time series remote-sensing images, we employed land use change trajectory method map Jiaoling County 2019 2023. Furthermore, proposed novel analytical framework quantify influence pathways interaction effects The results indicate that: (1) overall accuracy extraction 79.6%. During study period, rate showed trend “gradual rise followed sharp decline”, area reached maximum 2021. southeastern rural areas was serious stubborn. (2) slope has greatest explanatory power abandonment, total cultivated area, aggregation index cropland, distance road. Each factor threshold effect. (3) Topography, location, agriculture factors directly or indirectly affect rate, with direct influences 0.247, 0.255, −0.256, respectively. research findings offer valuable scientific guidance managing deepen our understanding formation mechanisms.

Язык: Английский

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Spatiotemporal Patterns and Determinants of Cropland Abandonment in Mountainous Regions of China: A Case Study of Sichuan Province

Land, Год журнала: 2025, Номер 14(3), С. 647 - 647

Опубликована: Март 18, 2025

Cropland abandonment (CA) is an increasingly severe global issue, with significant implications for achieving the Sustainable Development Goal of Zero Hunger. In China, widespread CA particularly evident in remote mountainous regions. However, rugged terrain and highly fragmented cropland pose challenges mapping abandoned high precision using sensing technology. Moreover, result multi-level factors, yet previous studies have primarily analyzed its driving factors from a single level, leading to lack comprehensive understanding underlying mechanisms. We took Sichuan Province, located regions Western as case study, utilizing satellite-derived high-precision maps reveal spatiotemporal patterns CA. Additionally, we employed hierarchical linear model explore determinants their interactions at both county municipal levels. The results indicate that rate decreased continuously 6.75% 2019 4.47% 2023, exhibiting spatial clustering. High-value clusters were predominantly concentrated western areas, hotspots exhibited general migration trend northeast southwest. Furthermore, found influenced by 61% 39% variance being explained levels, respectively. agglomeration index (AI) key determinant Digital Elevation Model (DEM) distance roads also playing roles. At urbanization proportion non-agricultural employment (PNAE) are dominant increase PNAE weakens negative impact AI on rates. To curb recommend implementing land consolidation projects, improving rural transfer markets, strengthening legal mechanisms combat Our study has broad application prospects, providing critical support assessing ecological environmental consequences exploring potential reutilizing food production, bioenergy, carbon sequestration.

Язык: Английский

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