Yanfei Wang
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Research Subjects
Yanfei Wang has a total of 10 co-authors. Here are the top co-authors by number of shared publications:
- Changquan Liu
Rural Development Institute, Chinese Academy of Social Sciences, Beijing 100732, China
2 shared publications Tingting Li
2 shared publications- Tingting Li
Rural Development Institute, Chinese Academy of Social Sciences, Beijing 100732, China
2 shared publications Dingxiang Zhang
1 shared publicationHaichao Wu
1 shared publicationHongbo Zhang
1 shared publication
Latest Publications
- Open Access
Continuous Monitoring of Cropland Abandonment in China Since the 21st Century: Interpreting Spatiotemporal Trajectories and Characteristics
Farmland abandonment poses a significant threat to China’s food security by contributing to inefficient land use. Utilizing remote sensing data and the multiple cropping index extraction method, this study extracts abandonment cropland information and analyzes its spatiotemporal patterns across China, with its findings validated against the “China Rural Revitalization Survey” (CRRS) data. The results indicate that since the 21st century, China’s cropland abandonment rate has fluctuated around 5.86%, affecting an average of 7.6 million hectares annually. Spatially, cropland abandonment is more severe in southern China, with hotspots clustered around 25° N and 30° N latitudes. This southward shift exacerbates the spatial mismatch between water resources and cropland. Furthermore, abandonment is particularly pronounced in grain production—marketing balance areas and main marketing areas, intensifying pressure on national food self-sufficiency. Slope and fragmentation also drive abandonment, with steeper (>15°) and more fragmented plots showing higher susceptibility. These complex patterns are uncovered through the study’s systematic innovations—a dual-indicator quantification method, a multi-source validation framework, a dynamic spatiotemporal atlas, and a novel interpretation of abandonment multifunctionality, which also positions farmland reuse as a buffer against unemployment risks. We thus recommend addressing land fragmentation as a core strategy, through high-standard farmland construction, innovative contract rights certification, and expanded agricultural socialized services to promote moderate-scale farming. Finally, we urge the adoption of region-specific and category-based recultivation approaches, supported by clear governance priorities.
Open AccessContinuous Monitoring of Cropland Abandonment in China Since the 21st Century: Interpreting Spatiotemporal Trajectories and Characteristics
Farmland abandonment poses a significant threat to China’s food security by contributing to inefficient land use. Utilizing remote sensing data and the multiple cropping index extraction method, this study extracts abandonment cropland information and analyzes its spatiotemporal patterns across China, with its findings validated against the “China Rural Revitalization Survey” (CRRS) data. The results indicate that since the 21st century, China’s cropland abandonment rate has fluctuated around 5.86%, affecting an average of 7.6 million hectares annually. Spatially, cropland abandonment is more severe in southern China, with hotspots clustered around 25° N and 30° N latitudes. This southward shift exacerbates the spatial mismatch between water resources and cropland. Furthermore, abandonment is particularly pronounced in grain production—marketing balance areas and main marketing areas, intensifying pressure on national food self-sufficiency. Slope and fragmentation also drive abandonment, with steeper (>15°) and more fragmented plots showing higher susceptibility. These complex patterns are uncovered through the study’s systematic innovations—a dual-indicator quantification method, a multi-source validation framework, a dynamic spatiotemporal atlas, and a novel interpretation of abandonment multifunctionality, which also positions farmland reuse as a buffer against unemployment risks. We thus recommend addressing land fragmentation as a core strategy, through high-standard farmland construction, innovative contract rights certification, and expanded agricultural socialized services to promote moderate-scale farming. Finally, we urge the adoption of region-specific and category-based recultivation approaches, supported by clear governance priorities.
- Open Access
- 28 October 2025
- Published by Elsevier in Smart Agricultural Technology
- Vol. 12
Investigating the ability of state-of-the-art remote sensing datasets in capturing the spatiotemporal patterns of cropland area: Implications for agricultural monitoring in the largest river basin of China’s arid region
- 28 October 2025
- Published by Elsevier in Smart Agricultural Technology
- Vol. 12
Open AccessInvestigating the ability of state-of-the-art remote sensing datasets in capturing the spatiotemporal patterns of cropland area: Implications for agricultural monitoring in the largest river basin of China’s arid region
- 18 August 2024
- Published by Elsevier in Habitat International
- Vol. 152
Behavioural selection of farmer households for rural homestead use in China: Self-occupation and transfer
- 18 August 2024
- Published by Elsevier in Habitat International
- Vol. 152
Behavioural selection of farmer households for rural homestead use in China: Self-occupation and transfer
- 1 January 2023
- Published by Resources Science in 资源科学
- Vol. 45 (4) , 872-883
Spatial pattern and mechanism of population density change in the built-up areas of the Beijing-Tianjin-Hebei region
- 1 January 2023
- Published by Resources Science in 资源科学
- Vol. 45 (4) , 872-883
Spatial pattern and mechanism of population density change in the built-up areas of the Beijing-Tianjin-Hebei region
- Open Access
Research on Identification of Multiple Cropping Index of Farmland and Regional Optimization Scheme in China Based on NDVI Data
The multiple cropping index of farmland is a significant characterization of land use intensity. Based on the NDVI data, this paper calculated the multiple cropping index of farmland in China using the S-G filtering method, and proposed an optimized regionalization scheme for the farmland use. The findings reveal that from 2000 to 2018, the multiple cropping index of farmland in China underwent the fluctuation of rising first, then falling and rising continuously, which was closely associated with the agricultural support policies enforced in China. Counties whose multiple cropping indexes decreased from 2009 to 2018 were mainly located in areas primarily producing grain, which exerted a greater influence on food security. The gap between the multiple cropping index and potential multiple cropping index of farmland is increasingly widening from north to south in China. Accordingly, four types of grain producing zones were delineated: key development zone, potential growth zone, appropriate development zone, and restricted development zone. Some suggestions, such as rotation, fallow, determination of yield by water and offsetting the quantity balance of farmland by increasing the multiple cropping index, are put forward based on different zones.
Open AccessResearch on Identification of Multiple Cropping Index of Farmland and Regional Optimization Scheme in China Based on NDVI Data
The multiple cropping index of farmland is a significant characterization of land use intensity. Based on the NDVI data, this paper calculated the multiple cropping index of farmland in China using the S-G filtering method, and proposed an optimized regionalization scheme for the farmland use. The findings reveal that from 2000 to 2018, the multiple cropping index of farmland in China underwent the fluctuation of rising first, then falling and rising continuously, which was closely associated with the agricultural support policies enforced in China. Counties whose multiple cropping indexes decreased from 2009 to 2018 were mainly located in areas primarily producing grain, which exerted a greater influence on food security. The gap between the multiple cropping index and potential multiple cropping index of farmland is increasingly widening from north to south in China. Accordingly, four types of grain producing zones were delineated: key development zone, potential growth zone, appropriate development zone, and restricted development zone. Some suggestions, such as rotation, fallow, determination of yield by water and offsetting the quantity balance of farmland by increasing the multiple cropping index, are put forward based on different zones.