Mapping Abandoned Cultivated Land in China: Implications for Grain Yield Improvement DOI Creative Commons

Guanghui Jiang,

Wenqiu Ma, Yuling Li

et al.

Applied Sciences, Journal Year: 2024, Volume and Issue: 15(1), P. 165 - 165

Published: Dec. 28, 2024

The abandonment of cultivated land has profoundly affected the agroecological landscape, national food security, and farmer livelihoods, especially in China. Based on use change survey data geoinformation data, this paper identified distribution abandoned analyzed overall characteristics spatial differentiation patterns results showed that: (1) In 2017, area China was approximately 9.10 million hectares, with an rate 5.57%. (2) had obvious differences, trend “inverted U” shape from east to west. (3) pattern a spreading scattered concentrated continuous expansion edges large cities remote rural areas main grain-producing regions fertile land. (4) great impact grain production capacity, there are differences among provinces. lost 40.89 tons yield due abandonment, accounting for 6.48% total yield, loss potential reached 254.45 tons. driven not only by social effects under dual structure urban but also rational choices farmers balance policy, income, opportunity cost framework urbanization. future, policy tools such as fallowing, conversion, high farmland construction standards, subsidies should be used implement differentiated policies optimize use.

Language: Английский

Digital mapping of soil organic carbon in a plain area based on time-series features DOI Creative Commons
Kun Yan, Decai Wang,

Yongkang Feng

et al.

Ecological Indicators, Journal Year: 2025, Volume and Issue: 171, P. 113215 - 113215

Published: Feb. 1, 2025

Language: Английский

Citations

0
Analysis of the Spatial Distributions and Mechanisms Influencing Abandoned Farmland Based on High-Resolution Satellite Imagery DOI Creative Commons
Wei Su,

Yueming Hu,

Fan Xue

et al.

Land, Journal Year: 2025, Volume and Issue: 14(3), P. 501 - 501

Published: Feb. 28, 2025

Due to the rapid expansion of urban areas, aging agricultural labor, and loss rural workforce, some regions in China have experienced farmland abandonment. The use remote sensing technology allows for accurate extraction abandoned farmland, which is great significance research on land-using change, food security protection, ecological environmental conservation. This focuses Qiaotou Town Chengmai County, Hainan Province, as study area. Using four high-resolution satellite imagery scenes, digital elevation models, other relevant data, random forest classification method was applied extract analyze its spatial distribution characteristics. accuracy results verified. Based these findings, examines influence factors—irrigation conditions, slope, accessibility, proximity residential areas—on abandonment proposes corresponding governance policies. indicate that using 93.29%. phenomenon seasonal more prevalent than perennial Among influencing factors, rate decreases with increasing distance from road buffer zones, increases greater water systems, areas. Most located areas gentler slopes, a relatively smaller impact provides valuable references analyzing mechanisms area, profound economic development help support implementation revitalization strategies.

Language: Английский

Citations

0
Information extraction and characteristic analysis of cultivated land abandonment in karst rocky desertification mountainous areas based on time-series vegetation index DOI Creative Commons
Xiao Huang, Zhongfa Zhou, Xin Zhao

et al.

Scientific Reports, Journal Year: 2025, Volume and Issue: 15(1)

Published: April 12, 2025

Due to the influence of rocky desertification, phenomenon abandoned farmland is serious in karst mountainous areas. The accelerated urbanization process, transfer rural labor force, and obstruction agricultural mechanization have aggravated abandonment cultivated land. Curbing large-scale land great significance regional food security sustainable development. Taking a typical desertification area as an example, using Sentinel-2 A remote sensing images, NDVI time series change detection coupling joint method was used extract Guanling County from 2019 2022, its degree spatial heterogeneity were analyzed. results show that: (1) OA identification non-abandoned 2022 0.86, Kappa coefficient 70%, with good effect; (2) continued increase but most them for two three years, few four years. There phenomena recultivation sudden farmland; (3) Abandonment mostly occurred under conditions no obvious mild moderate rate gradually decreased desertification; (4) mainly distributed direction "northwest-southeast", high fragmentation, low aggregation strong heterogeneity. study extracted information on areas provide data basis protection quantity.

Language: Английский

Citations

0
The Relationship between Farmland Abandonment and Urbanization Processes: A Case Study in Four Chinese Urban Agglomerations DOI Creative Commons
Nan Zheng, Le Li, Lijian Han

et al.

Land, Journal Year: 2024, Volume and Issue: 13(5), P. 664 - 664

Published: May 11, 2024

Clarifying the relationship between urbanization and farmland abandonment in urban agglomerations (UAs) is crucial to guide formulation of arable land management policies strategies for sustainable development. Despite numerous studies confirming correlation certain factors, exploration patterns underlying mechanisms China’s UAs remains worthy systematic investigation. In this study, we conducted an analysis spatiotemporal trends examined key drivers four representative Chinese UAs—Beijing–Tianjin–Hebei (BTH), Chengdu–Chongqing (CC), Pearl River Delta (PRD), Yangtze (YRD). Our findings reveal that has been intensified with increasing fragmentation aggregation patches across these UAs. Abandonment experience was main driver continuous abandonment. Moreover, natural conditions persistently influenced BTH, while economic were predominant CC. The PRD mainly driven by population urbanization, YRD primarily urbanization. research provide data support scientific explanation policy-making typical under different development strategies.

Language: Английский

Citations

3
An OVR-FWP-RF Machine Learning Algorithm for Identification of Abandoned Farmland in Hilly Areas Using Multispectral Remote Sensing Data DOI Open Access

L. Wang,

Qian Li,

Youhan Wang

et al.

Sustainability, Journal Year: 2024, Volume and Issue: 16(15), P. 6443 - 6443

Published: July 27, 2024

Serious farmland abandonment in hilly areas, and the resolution of commonly used satellite-borne remote sensing images are insufficient to meet needs identifying abandoned such regions. Furthermore, addressing problem areas with a certain level accuracy is crucial issue research extracting information on patches from images. Taking typical village as an example, this study utilizes airborne multispectral images, incorporating various feature factors spectral characteristics texture features. Aiming at method for based OVR-FWP-RF algorithm proposed. two machine learning algorithms, Random Forest (RF) XGBoost, also utilized comparison. The results indicate that overall (OA) OVR-FWP-RF, Forest, XGboost classification algorithms have reached 92.66%, 90.55%, 90.75%, respectively, corresponding Kappa coefficients 0.9064, 0.8796, 0.8824. Therefore, by combining features, vegetation factors, use methods can improve ground objects. Moreover, outperforms XGboost. Specifically, when using identify farmland, its producer (PA) 3.22% 0.71% higher than XGboost, while user (UA) 5.27% 6.68% higher, respectively. significantly identification other land type recognition providing new well useful reference similar areas.

Language: Английский

Citations

0
Mapping Abandoned Cultivated Land in China: Implications for Grain Yield Improvement DOI Creative Commons

Guanghui Jiang,

Wenqiu Ma, Yuling Li

et al.

Applied Sciences, Journal Year: 2024, Volume and Issue: 15(1), P. 165 - 165

Published: Dec. 28, 2024

The abandonment of cultivated land has profoundly affected the agroecological landscape, national food security, and farmer livelihoods, especially in China. Based on use change survey data geoinformation data, this paper identified distribution abandoned analyzed overall characteristics spatial differentiation patterns results showed that: (1) In 2017, area China was approximately 9.10 million hectares, with an rate 5.57%. (2) had obvious differences, trend “inverted U” shape from east to west. (3) pattern a spreading scattered concentrated continuous expansion edges large cities remote rural areas main grain-producing regions fertile land. (4) great impact grain production capacity, there are differences among provinces. lost 40.89 tons yield due abandonment, accounting for 6.48% total yield, loss potential reached 254.45 tons. driven not only by social effects under dual structure urban but also rational choices farmers balance policy, income, opportunity cost framework urbanization. future, policy tools such as fallowing, conversion, high farmland construction standards, subsidies should be used implement differentiated policies optimize use.

Language: Английский

Citations

0