scholarly journals Influencing factors and spatial differentiation of cultivated land abandonment at the household scale

资源科学 ◽  
2020 ◽  
Vol 42 (4) ◽  
pp. 696-709
Author(s):  
Beibei GUO ◽  
Yelin FANG ◽  
Yinkang ZHOU ◽  
Keyword(s):  
Influencing Factors ◽  
Spatial Differentiation ◽  
Land Abandonment ◽  
Cultivated Land

scholarly journals Temporal-Spatial Differentiation and Optimization Analysis of Cultivated Land Green Utilization Efficiency in China

Land ◽  
2019 ◽  
Vol 8 (11) ◽  
pp. 158 ◽  
Author(s):  
Qianru Chen ◽  
Hualin Xie
Keyword(s):  
Influencing Factors ◽  
Carbon Emissions ◽  
Spatial Differentiation ◽  
Utilization Efficiency ◽  
Added Value ◽  
Scale Model ◽  
Eastern Region ◽  
Cultivated Land ◽  
Land Utilization ◽  
Extension System

Cultivated land is closely related to national food security, rural economic development and social stability. The cultivated land pollution and carbon emissions caused by chemical fertilizers, pesticides, film residues, etc., in the process of cultivated land utilization pose a serious threat to the cultivated land ecosystem in China. The comprehensive analysis on the cultivated land green utilization efficiency (GUECL), its influencing factors, and optimization direction provides a valuable basis for the green utilization of cultivated land. Based on a panel data of 30 provinces (cities or districts) in China from 2001 to 2016, the GUECL in China under the constraints of pollution and carbon emissions was measured by using a super-efficient SBM-VRS (slack based model-variable return to scale) model. The influencing factors and optimization directions of the GUECL were analyzed through the Tobit model and slack values, respectively. The results show that the GUECL in China rose with fluctuations from 2001 to 2016. Since 2014, the eastern region has surpassed the western region and has become the region with the highest mean GUECL value. The room for resource conservation and pollution reduction varies in different regions of China. Farmers’ dependence on cultivated land and agricultural added value are positively related to the GUECL in China. Farmers’ occupational differentiation, agricultural machinery density, and agricultural disaster rate have had negative effects on the GUECL in China. The loss of the GUECL in China is mainly due to the redundancies of land input, pollution emission, and mechanical input. By analyzing these influencing factors and optimization directions, it is concluded that improving rural land transfer market and agricultural infrastructure construction, establishing a new agricultural technology extension system, and vigorously cultivating new professional farmers are the targeted measures to improve the GUECL.

scholarly journals Spatial Distribution and Land Use of Traditional Villages in Southwest China

2021 ◽  
Vol 13 (11) ◽  
pp. 6326
Author(s):  
Xiye Zheng ◽  
Jiahui Wu ◽  
Hongbing Deng
Keyword(s):  
Cultural Heritage ◽  
Influencing Factors ◽  
Landscape Pattern ◽  
Southwest China ◽  
Spatial Clustering ◽  
Interaction Mechanism ◽  
Cultivated Land ◽  
River Population ◽  
Local Conditions ◽  
Countermeasures And Suggestions

Traditional villages are the historical and cultural heritage of people around the world. With the increases in urbanization and industrialization, the continuation of traditional villages and the inheritance of historical and cultural heritage are facing risk. Therefore, to grasp the spatial characteristics of them and the human–nature interaction mechanism in Southwest China, we analyzed the distribution pattern of traditional villages using the ArcGIS software. Then, we further analyzed the spatial clustering characteristics, influencing factors and landscape pattern, and put forward relevant protection countermeasures and suggestions. The results revealed that traditional villages in Southwest China were clustered, being mainly distributed in areas with relatively low elevation, gentle slopes, low relative positions, nearby water sources, and convenient transportation. They can be divided into four categories due to obvious differences in influencing factors such as elevation, slope, relative position, distance to the nearest river, population density, etc. The landscape pattern of traditional villages differed among the different clusters, being mainly composed of forests, shrubs, and cultivated land. With the increase in the buffer radius, the landscape pattern of them changed significantly. The results of this study reflect that traditional villages and the natural environment are interdependent, so the protection of traditional villages should carry out measures according to local conditions.

scholarly journals Spatial Differentiation of Cultivated Land Use Intensification in Village Settings: A Survey of Typical Chinese Villages

Land ◽  
2021 ◽  
Vol 10 (3) ◽  
pp. 249
Author(s):  
Quanfeng Li ◽  
Zhe Dong ◽  
Guoming Du ◽  
Aizheng Yang
Keyword(s):  
Land Use ◽  
Food Security ◽  
Socioeconomic Development ◽  
Agricultural Land ◽  
Spatial Differentiation ◽  
Cultivated Land ◽  
Output State ◽  
Land Use Intensification ◽  
Development Levels ◽  
Business Entities

The intensified use of cultivated land is essential for optimizing crop planting practices and protecting food security. This study employed a telecoupling framework to evaluate the cultivated land use intensification rates in typical Chinese villages (village cultivated land use intensifications—VCLUIs). The pressure–state–response (PSR) model organizes the VCLUI indexes including the intensity press, output state, and structural response of cultivated land use. Empirical analysis conducted in Baiquan County, China, indicating that the cultivated land use intensification levels of the whole county were low. However, the intensifications of villages influenced by physical and geographic locations and socioeconomic development levels varied significantly. This paper also found that variations in the VCLUIs were mainly dependent on new labor-driven social subsystem differences. Thus, the expanding per capita farmland scales and increasing numbers of new agricultural business entities were critical in improving the VCLUI. Overall, the theoretical framework proposed in this study was demonstrated to be effective in analyzing interactions among the natural, social, and economic subsystems of the VCLUI. The findings obtained in this study potentially have important implications for future regional food security, natural stability, and agricultural land use sustainability.

scholarly journals Landscape dynamics in the northeast part of Andhikhola watershed, Middle hills of Nepal

2019 ◽  
Vol 12 ◽  
pp. 41-56
Author(s):  
Chhabi Lal Chidi ◽  
Wolfgang Sulzer ◽  
Pushkar Kumar Pradhan
Keyword(s):  
Land Use ◽  
Image Analysis ◽  
High Resolution ◽  
Land Use Change ◽  
Land Abandonment ◽  
Cultivated Land ◽  
Land Use Classification ◽  
Object Based Image Analysis ◽  
Object Based ◽  
Hill Slope

 Depopulation and increasing greenery due to agriculture land abandonment is general scenario in many highlands of Nepal in recent decades. High resolution remote sensing image is used in land use change analysis. Recently, object based image analysis technique has helped to improve the land use classification accuracies using object based image analysis. Thus, this study was carried out with high resolution image data sources and innovative technique of land use classification in the northeast part of Andhikhola watershed, in the Middle Hill of Nepal. Increasing greenery due to agriculture land abandonment in the hill slope is the major land use change. Secondly, increasing built-up area in lowland along the highway is another. Decreasing hill farmers is the major drivers of converting cultivated land into vegetated area and increasing built-up area is due to urbanization and shift of rural people from hill slope to lowland and accessible area. Converting cultivated land into forest, shrubs and grassland is at marginal land and remote areas which is mostly controlled by altitude, slope gradient and slope aspect. Additionally, land suitability and accessibility are also other important controlling factors.

Cultivated land landscape ecological security: Influencing factors and spatial differences in the hilly region of South China

2019 ◽  
Vol 39 (17) ◽  
Author(s):  
韩逸 HAN Yi ◽  
郭熙 GUO Xi ◽  
江叶枫 JIANG Yefeng ◽  
饶磊 RAO Lei ◽  
孙凯 SUN Kai ◽  
...  
Keyword(s):  
Influencing Factors ◽  
South China ◽  
Ecological Security ◽  
Cultivated Land ◽  
Hilly Region ◽  
Spatial Differences ◽  
Landscape Ecological ◽  
Landscape Ecological Security

scholarly journals Spatial Differentiation of Non-Grain Production on Cultivated Land and Its Driving Factors in Coastal China

2021 ◽  
Vol 13 (23) ◽  
pp. 13064
Author(s):  
Yan Sun ◽  
Yuanyuan Chang ◽  
Junna Liu ◽  
Xiaoping Ge ◽  
Gang-Jun Liu ◽  
...  
Keyword(s):  
Land Use ◽  
Spatial Heterogeneity ◽  
Spatial Differentiation ◽  
Driving Factors ◽  
Cultivated Land ◽  
Grain Production ◽  
Land Area ◽  
Bottom Line ◽  
Land Transfer ◽  
Coastal China

The rapid development of urbanization and industrialization in coastal China in the past 20 years has exerted a huge squeezing effect on agricultural land use. The phenomenon of non-grain production on cultivated land (NGP) is very common, seriously threatening the protection of high-quality arable land and national food security. In order to find out the overall situation regarding NGP on cultivated land in coastal China, this study revealed the spatial differentiation of NGP and its main driving factors by spatial autocorrelation analysis, multiple linear regression models and geographically weighted regression analysis (GWR). The results show that: (1) in 2018, the non-grain cultivated land area of 11 provinces along the coast of China was about 15.82 × 106 hm2, accounting for 33.65% of the total cultivated land area. (2) The NGP rate in 11 provinces gradually decreased from south to north, but the NGP area showed two peak centers in Guangxi province and Shandong province, then decreased gradually outwards. (3) The low economic benefit of the planting industry (per capita GDP and urban-to-rural disposable income ratio) was the most important driving force, leading to the spatial differentiation of NGP, while the number of rural laborers and land transfer areas also acted as the main driving factors for the spatial differentiation of NGP. However, the influence of each driving factor has obvious spatial heterogeneity. The non-grained area and the non-grain production rate at the municipal level were completely different from those at the provincial level, and the spatial heterogeneity was more prominent. In the future, the local government should control the disorganized spread of NGP, scientifically set the bottom line of NGP, reduce the external pressure of NGP, regulate multi-party land transfer behavior, and strengthen land-use responsibilities. This study can provide a scientific foundation for adjusting land-use planning and cultivated land protection policies in China and other developing countries.

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