Study on the abandonment of sloping farmland in Fengjie County, Three Gorges Reservoir Area, a mountainous area in China

Liang, Xinyuan; Li, Yangbing; Zhou, Yalin

doi:10.1016/j.landusepol.2020.104760

Cited by 64 publications

(37 citation statements)

References 76 publications

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“…For instance, due to different interest objectives of policy implementation departments, social, economic, and agricultural intensification factors have significant differences on the impact of cultivated land undertaken on slopes at a prefecture‐level city in Sichuan Province (Xiao et al, 2019); 66.20% of the differences in cultivated land change drivers of Chongqing come from the district/county level (Song, Cao, Zhou, Su, & Qiu, 2020). Ultimately, human disturbance in terms of management has the most significant impact on the evolution of cultivated land (Liang, Li, & Zhou, 2020).…”

Section: Discussionmentioning

confidence: 99%

Exploring cultivated land evolution in mountainous areas of Southwest China, an empirical study of developments since the 1980s

et al. 2020

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Cultivated land protection is related to food security and sustainable development. As an important reserve resource, the protection and development of cultivated land in mountainous areas need attention from governments and academia. This paper analyses the long‐term evolution process cultivated land in mountainous areas of Southwest China by using large‐scale remote sensing, topographic relief amplitude model, and a modified binary logistic regression model, to understand internal reasons for evolution differentiation at the macro level. The results show that untransformed cultivated land is mainly distributed below the topographic relief amplitude of 770 m. The transformation direction and spatial characteristics of transformed cultivated land gradually shift to low relief amplitude (<631 m) areas with time. Construction land accounts for 51.11% of the cultivated land transformation, usually distributed in flatlands or basins below the relief amplitude of 498 m, and hilly cultivated land around it displays a fluctuating recovery process. Topography is the most important factor affecting the evolution of cultivated land in mountainous areas. However, there are still differences in the driving mechanism of cultivated land evolution types, and some key policies in China in the past directly affected the evolution paths of cultivated land in mountainous areas. The research results can provide ideas for the utilization and protection of cultivated land in similar mountainous areas.

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Section: Discussionmentioning

confidence: 99%

Exploring cultivated land evolution in mountainous areas of Southwest China, an empirical study of developments since the 1980s

et al. 2020

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“…(1) ALS data allowed for an automated and more accurate identification of AAL in terms of classification accuracy (>90%) and spatial resolution (<1.0 m) than did other RS platforms [53][54][55][56][57][58][59][60][61][62][63][64]. Potential improvements in process of AAL identification may be achieved using some qualitative variable of ALS data (e.g., intensity) or alternatively through multispectral ALS data [65][66][67][68].…”

Section: Discussionmentioning

confidence: 99%

“…This is because they are generally more accessible for large areas than ALS data. Here, an application of spectral or multiscale features extracted from aerial [60] or satellite images, such as GF-2 [61], Quick Bird [62], and Landsat [63], resulted in an overall accuracy of 77-91%. Several studies have also demonstrated the potential of radar data as an alternative to optical images for the identification of AAL.…”

Section: Spatial Identification Of Abandoned Agricultural Landmentioning

confidence: 99%

Mapping Aboveground Woody Biomass on Abandoned Agricultural Land Based on Airborne Laser Scanning Data

2020

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Mapping aboveground woody biomass (AGB) on abandoned agricultural land (AAL) is required by relevant stakeholders to monitor the spatial dynamics of farmland afforestation, to assess the carbon sequestration, and to set the appropriate management of natural resources. The objective of this study was, therefore, to present and assess a workflow consisting of (1) the spatial identification of AAL based on a combination of airborne laser scanning (ALS) data, cadastral data, and Land Parcel Identification System data, and (2) the prediction of AGB on AAL using an area-based approach and a nonparametric random forest (RF) model based on a combination of field and ALS data. Part of the second objective was also to evaluate the applicability of (1) the author-developed algorithm for the calculation of ALS metrics and (2) a single comprehensive RF model for the whole area of interest. The study was conducted in the forest management unit Vígľaš (Slovakia, Central Europe) covering a total area of 12,472 ha. Specifically, five reference areas consisting of 11,194 reference points were used to assess the accuracy of the spatial identification of AAL, and seventy-five ground reference plots were used for the development of the ALS-based AGB model and for assessing the accuracy of the AGB map. The overall accuracy of the spatial identification of AAL was found to be 93.00% (Cohen’s kappa = 0.82). The difference between ALS-predicted and ground-observed AGB reached a relative root mean square error (RMSE) at 26.1%, 33.1%, and 21.3% for the whole sample size, plots dominated by shrub species, and plots dominated by tree species, respectively.

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“…The agricultural location theory [43] and the differential land rent theory [44] are used to explain the abandonment of cultivated land because it often initially occurs in areas with poor physical geography and physical conditions, especially in areas with poor soil, large slopes, fragmented land and long distances between the farmers and markets. Areas that are far away are more likely to cause farmland marginalization [2,[45][46][47]. In addition, it was confirmed that the topography and slope have no significant impact on the abandonment of cultivated land at the township level, in China's mountainous areas [48].…”

Section: Introductionmentioning

confidence: 89%

Degree of Abandoned Cropland and Socioeconomic Impact Factors in China: Multi-Level Analysis Model Based on the Farmer and District/County Levels

Jiang

Song

2021

Land

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At present, abandoned cropland has become a common phenomenon spreading to countries around the world. China has seen widespread abandoned cropland in recent years. However, there are extremely few empirical studies of cropland abandonment and influencing factors nationwide. In this study, survey data from 8071 farmer households in 14 Chinese provinces were used to analyze the degree of cropland abandonment in China and its spatial distribution. A multi-level model was constructed to quantitatively explore the socioeconomic factors affecting the degree of cropland abandonment, at both the farmer and district/county levels. The results show that: (1) the proportion of farmers and the spatial distribution of abandoned cropland are consistent. (2) Chongqing City, Guangdong Province, and Shanxi Province are high-value areas of abandoned cropland, while Shandong, Liaoning, Henan and Jiangsu provinces are low-value areas. (3) Among the differences in cropland abandonment, 68.5% and 31.5% can be explained at the farmer and district/county level, respectively. (4) At the farmer level, all labor and cropland transfer indicators, including land labor quantity per unit area, male agricultural labor ratio, farmers mainly of middle-aged labor, cropland transfer area and cropland subcontract amount, have significant negative effects on the degree of abandoned cropland. There is a significant negative correlation between the value of agricultural operating fixed assets in the agricultural input indicators and the degree of abandoned cropland, but participation in professional, cooperative, economic, agricultural organizations has no significant impact on the degree of abandoned cropland. The per capita disposable income, which represents the quality of life indicator, has a significant positive impact on the degree of abandoned cropland. (5) At the district/county level, the proportion of the total co-working labor force and the transfer rate of cropland are negatively related to the degree of cropland abandonment, and the proportion of the co-working labor force outside the district/county is positively related to the degree of cropland abandonment. In addition, we briefly analyzed the mechanism and process of cropland abandonment from the perspective of farmers’ decision-making. Finally, the policy suggestions to alleviate the abandonment of cropland were put forward from the district/county and farmer level, respectively.

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Study on the abandonment of sloping farmland in Fengjie County, Three Gorges Reservoir Area, a mountainous area in China

Cited by 64 publications

References 76 publications

Exploring cultivated land evolution in mountainous areas of Southwest China, an empirical study of developments since the 1980s

Exploring cultivated land evolution in mountainous areas of Southwest China, an empirical study of developments since the 1980s

Mapping Aboveground Woody Biomass on Abandoned Agricultural Land Based on Airborne Laser Scanning Data

Degree of Abandoned Cropland and Socioeconomic Impact Factors in China: Multi-Level Analysis Model Based on the Farmer and District/County Levels

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