Identifying the driving forces of cultivated land fragmentation in China

Gu, Tianci; Chen, Wanxu; Liang, Jiale; Pan, Sipei; Ye, Xinyue

doi:10.1007/s11356-023-29797-8

Cited by 9 publications

(3 citation statements)

References 75 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…This shows that the fragmentation of China's farmland increased during the study period. This finding is consistent with the results of other scholars [36]. The famous landscape ecologist Forman once proposed that the perforation process represents the beginning stage of landscape fragmentation.…”

Section: Spatiotemporal Distribution Pattern Of Farmland Landscape Ev...supporting

confidence: 93%

Spatial Process Analysis of the Evolution of Farmland Landscape in China

Fu,

Qi,

Jiang

et al. 2024

IJGI

View full text Add to dashboard Cite

Accurately identifying the patterns of evolution in farmland plays an important role in optimizing farmland management. The aim of this study is to classify the evolution patterns of farmland in China and explore related mechanisms, providing a reference for constructing a systematic farmland management plan. Using land cover data from five periods in China, nine types of farmland evolution process are described and identified based on landscape process models. We analyzed these processes’ spatiotemporal dynamics and, by examining regional variations, achieved a zoned mapping of China’s farmland evolution. In this study, we combined natural and socioeconomic factors to analyze the mechanisms driving the evolution of farmland landscapes in China. The results indicated that from 1980 to 2020, areas of both lost and restored farmland showed a trend of first increasing and then decreasing, while the total area of farmland fluctuated. The remaining farmland types consisted mainly of core and edge. Their distribution was similar to that of the major agricultural regions in China. Expansion was the main means of farmland restoration. Farmland fragmentation was widespread, and, over time, it became increasingly severe. Shrinkage and subdivision dominated the farmland fragmentation. Altitude and slope had the greatest impact on the evolution patterns of farmland. Increasing urban industrialization and an increase in population density led to an increase in the demand for food production, which placed greater demands on the farmlands in the region. The farmland evolution pattern is a result of the interactions among multiple factors.

show abstract

Section: Spatiotemporal Distribution Pattern Of Farmland Landscape Ev...supporting

confidence: 93%

Spatial Process Analysis of the Evolution of Farmland Landscape in China

Fu,

Qi,

Jiang

et al. 2024

IJGI

View full text Add to dashboard Cite

show abstract

“…Farming distance is another element that affects farmer households' cultivate willingness (Zhang, Li, He, et al, 2023). A larger CAR exists for cropland that is far from roads, water, and settlements, which probably translates into increased labor and transportation expenses and decreased agricultural productivity (Bakker Hou et al, 2021; Terres et al, 2015; Subedi et al, 2021) At patch characteristics perspective, cropland with excessive fragmentation, low connection, and small size may impede the adoption of mechanical farming technologies in the agricultural mechanization and modernization context (Gu et al, 2023; Ntihinyurwa & de Vries, 2020). They are also subjected to a higher level of CAR than cropland with large patch size, regular shape, strong aggregation, good connectedness, and minimal fragmentation (Gu et al, 2023; Zheng, Guo, He, et al, 2023).…”

Section: Methodsmentioning

confidence: 99%

“…A larger CAR exists for cropland that is far from roads, water, and settlements, which probably translates into de Vries, 2020). They are also subjected to a higher level of CAR than cropland with large patch size, regular shape, strong aggregation, good connectedness, and minimal fragmentation (Gu et al, 2023;Zheng, Guo, He, et al, 2023).…”

Section: Assessment Indicators Of Carmentioning

confidence: 99%

Assessing and mapping cropland abandonment risk in China

Zeng,

Luo,

Chen

et al. 2024

Land Degrad Dev

Self Cite

View full text Add to dashboard Cite

Cropland abandonment (CA) in China worsens the human‐land conflict and endangers national food sustainability. Scientifically assessing cropland abandonment risk (CAR) can provide valuable information for early warning and prevention of CA. Despite the extensive literature on the identification, determinants, and consequences of CA, the research on CAR still needs to be improved, especially on a grid scale. Therefore, this study constructed an evaluation indicators system regarding farming conditions, socio‐economic, and patch characteristics and used optimal parametric geographical detector and structural equation modeling to assess the CAR in China from 2010 to 2020. The results show China's CAR decreased from west to east. Very high and high CAR areas were in plateaus and mountains in western China. Medium CAR areas were mainly in central and southeastern China. Very low and low CAR areas were mainly in the Sichuan Basin and eastern plains. In 2010, the high and medium CARs accounted for a larger share of the area, 24.814% and 24.759%, respectively. The area share of very low, low, and very high CAR was 19.294%, 19.501%, and 11.633%, respectively. By 2020, both low and very high CARs increased, while the opposite was true for other grades of CAR. Very high CAR increased most evidently in the Loess Plateau. Although high CAR decreased, 43,327 km2 of medium CAR was converted to high CAR. CAR's centers of gravity in China were located at the junction of the Loess Plateau and the Huang‐Huai‐Hai Plain and have shifted to the northwest by 5445.34 m. The findings will assist stakeholders in developing targeted cropland protection strategies to prevent CA and efficiently allocate resources for agricultural production.

show abstract

A study on the classification of complexly shaped cultivated land considering multi-scale features and edge priors

Xiao,

Zhang,

et al. 2024

Environ Monit Assess

View full text Add to dashboard Cite

Identifying the driving forces of cultivated land fragmentation in China

Cited by 9 publications

References 75 publications

Spatial Process Analysis of the Evolution of Farmland Landscape in China

Spatial Process Analysis of the Evolution of Farmland Landscape in China

Assessing and mapping cropland abandonment risk in China

A study on the classification of complexly shaped cultivated land considering multi-scale features and edge priors

Contact Info

Product

Resources

About