Cultivated Land Change and Its Human Driving Forces Based on RS and GIS in Fuzhou, China

Author(s):  
Dewen Wu ◽  
Jinchuan Huang ◽  
Xiaolei Zhang ◽  
Hanying Mao
2013 ◽  
Vol 726-731 ◽  
pp. 4879-4882
Author(s):  
Hong Mei Zhang ◽  
Yang Gao

In recent years, the decrease of total arable land area and the area per capita of available arable land resource are serious problems in China. These problems will become more serious with the development of economy. In this paper, based on the statistical data of cultivated land in Hefei city from 1998 to 2009, their driving forces of the cultivated land change were analyzed by means of principal component analysis. The results showed the changing trends. The total and per capita of cultivated land were declining, but the speed of change was not the same. The sharp decrease was occurred in the period of 2002-2005. Nine affecting factors having influenced on cultivated land change which were analyzed by principal component analysis. The results show that population growth, economic development and efficiency of agricultural production were main driving forces affecting cultivated land change in Hefei city.


Land ◽  
2021 ◽  
Vol 10 (8) ◽  
pp. 806
Author(s):  
Sidong Zhao ◽  
Yiran Yan ◽  
Jing Han

The “Belt and Road” has developed from a Chinese initiative to an international consensus, and Silk Road cities are becoming a strategic step for its high-quality development. From the perspective of industrialization, the “Belt and Road” can be regarded as a “spillover” effect of the industrialization process in China. With the spatial shift of Chinese industries along the “Belt and Road” and their clustering in Silk Road cities, the development and change of industrial land in Silk Road cities has become a new area of concern for governments and scholars. In this paper, the driving mechanism of industrial land change in 129 cities along the Silk Road in China is empirically studied by the GeoDetector method. The findings include: first, the development and changes of industrial land in Silk Road cities are significantly spatially heterogeneous, and the “Belt and Road” reshapes the town system and economic geography along the route by virtue of the differentiated configuration and changes of industrial land, changing the social, political, landscape and spatial relations in cities on the line. Second, the driving forces of industrial land change in Silk Road cities under the influence of the “Belt and Road Initiative” are increasingly diversified and differentiated, with significant two-factor enhancement and non-linear enhancement interaction between two driving factors, and growing complexity of the driving mechanisms, requiring policy makers to design policies based on key factors, comprehensive factors and their interaction. Third, the environmental effect of industrial land change is highly complex. The industrial land quantity has a direct impact on the ecological state parameter and plays a decisive role in the quality of the ecological environment and its changes in Silk Road cities. However, changes in the industrial land affect the ecological state change indirectly, mainly interacting with it through the coupling of pollutant and carbon dioxide emissions, energy use, ecological planning and landscape design and policy interventions. Finally, this study provides a new framework and method for Silk Road scholars to analyze the spatial and temporal evolution characteristics of land use and coverage in cities along the “Belt and Road” and their influence mechanisms, and provides a basis for the government to make decisions on industrial land supply and layout planning and spatial governance policy design, which is of great theoretical significance and practical value.


2014 ◽  
Vol 707 ◽  
pp. 232-236
Author(s):  
Can Zhang ◽  
Hui Chun Shi ◽  
Xia Xia Lv

In this paper, Lixian County 2001-2010 dynamic changes of cultivated land resources were studied. Studies have shown that: the past 10 years the average annual reduction rate of 0.72% Lixian County arable land, and the reduction since 2002, much faster, In the spatial region, most dramatic change is more economically developed society Liwu Town, Dabaichi Town, Xinxing Town and Liushi Town. According to the statistical Yearbook 2001-2010 review, we select factor and use principal component analysis. The main driving factors of impacting Lixian County arable land resources change are economic factor, demographic factor and progress in agricultural technology factor.


2010 ◽  
Vol 15 (4) ◽  
Author(s):  
Anna M. Hersperger ◽  
Maria-Pia Gennaio ◽  
Peter H. Verburg ◽  
Matthias Bürgi

Author(s):  
C. Y. Lu ◽  
H. M. Zhang ◽  
F. Wen

Abstract. Cultivated land resources are the basic production factors that carry human survival and economic development. Exploring the relationship between cultivated land change and economic development has become a hot issue for scholars.in this paper,The methods of regression analysis, land use elastic coefficient method, location entropy are used to empirically describe the relationship between cultivated land change and economic development.The results show: Since the 20th century, the change of cultivated land area has experienced three distinct stages of change, showing a process of recovery, decline, and steady evolution in Henan Province. The per capita cultivated land area is characterized by an upward trend, and the per capita cultivated land area is increasing year by year. In general, the intensive use of cultivated land in Henan Province is still not high, but the momentum of a sharp decline in cultivated land is basically controlled. The change of cultivated land area and economic development showed a four-time curve fitting relationship, which indicates that the path dependence of economic development on cultivated land occupation still exists, and cultivated land supports the rapid development of economy.The research results of the relationship between cultivated land change and economic development by using location entropy show that the spatial layout of the urban area is less than 0, and the regularity is not strong.The location where the location entropy is between 0–1 is mainly located in the central part of Henan Province;The cities with location entropy greater than 1 are mainly located in the eastern part of Henan.


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