Driving Mechanism of Cultivated Land Transition in Yantai Proper, Shandong Province, China

QIN Weishan; ZHANG Yifeng; LI Guangdong

doi:10.1007/s11769-014-0712-3

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QIN Weishan, ZHANG Yifeng, LI Guangdong. Driving Mechanism of Cultivated Land Transition in Yantai Proper, Shandong Province, China[J]. Chinese Geographical Science, 2015, 25(3): 337-349. doi: 10.1007/s11769-014-0712-3

Citation:

QIN Weishan, ZHANG Yifeng, LI Guangdong. Driving Mechanism of Cultivated Land Transition in Yantai Proper, Shandong Province, China[J]. Chinese Geographical Science, 2015, 25(3): 337-349. doi: 10.1007/s11769-014-0712-3

Driving Mechanism of Cultivated Land Transition in Yantai Proper, Shandong Province, China

doi: 10.1007/s11769-014-0712-3

1.
Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China;
2.
Geo-graphy and Planning School of Ludong University, Yantai 264025, China

Funds: Under the auspices of National Natural Science Foundation of China (No. 41130748)

More Information

Corresponding author: ZHANG Yifeng. E-mail:zhangyf@igsnrr.ac.cn
Received Date: 2014-01-10
Rev Recd Date: 2014-05-05
Publish Date: 2015-03-27

Abstract

Cultivated land transition and its driving mechanism are the hotspots among studies on land use change. In this study, we constructed a framework to study the driving mechanism of cultivated land transition from the quantitative perspective. Based on the vector data of land use in 1990, 2000 and 2009 of Yantai Proper, Shandong Province China, 11 explanatory variables were chosen from two aspects:the elevation, slope, cost distance to major water area and cost distance to minor water area, which presented physical factors;cost distance to district center, cost distance to town center, cost distance to city expansion center, cost distance to major roads, cost distance to city roads, cost distance to county roads and cost distance to rural roads, which presented the socio-economic factors. Combined with spatial analysis tools and Logistic regression analysis model, we construct Logistic regression analyses with four objectives that were urban construction land, rural residential land, orchard and other lands. The results show that, cost distance to district center, cost distance to town center, cost distance to city expansion center and cost distance to city roads are the significant explanatory variables for the transition of cultivated land into urban construction land. The main explained factors on the transition of cultivated land into rural residential land are slope, cost distance to town center, cost distance to county roads and cost distance to rural roads. Slope, cost distance to minor water area, cost distance to town center, cost distance to county roads and cost distance to rural roads are the significant explanatory variables for the transition of cultivated land into orchard land. Elevation, slope, cost distance to major water area and cost distance to minor water area are the main explanatory variables on the transition of cultivated land into other land uses.
- cultivated land use transition,
- driving mechanism,
- Yantai Proper,
- China

References

[1]	Bai Wanqi, Zhang Yili, 2002. Role of traditional cultural factors in land use changes in the Qinghai-Tibet Plateau. Resources Science, 24(4):11-15. (in Chinese)
[2]	Barbier E B, Burgess J C, Grainger A, 2010. The forest transition:towards a more comprehensive theoretical framework. Land Use Policy, 27(2):98-107. doi:10.1016/j.landusepol.2009. 02.001
[3]	Betts M G, Diamond A W, Forbes G J et al., 2006. The importance of spatial autocorrelation, extent and resolution in predicting forest bird occurrence. Ecological Modelling, 191(2):197-224. doi: 10.1016/j.ecolmodel.2005.04.027
[4]	Cai Yunlong, Wang Yong, Li Yuping, 2009. Study on changing relationship of demand and supply of cultivated land in China. China Land Science, 23(3):11-18, 31. (in Chinese)
[5]	Cao Yingui, Bai Zhongke, Zhou Wei et al., 2013. Forces driving changes in cultivated land and management countermeasures in the Three Gorges Reservoir Area, China. Journal of Mountain Science, 10(1):149-162. doi: 10.1007/s11629-013-2240-5
[6]	Chen J F, Wei S Q, Chang K T et al., 2007. A comparative case study of cultivated land changes in Fujian and Taiwan. Land Use Policy, 24(2):386-395. doi:10.1016/j.landusepol.2006. 05.002
[7]	Chen Z, Lu C H, Fan L, 2012. Cultivated land changes and the driving forces in Yucheng, North China Plain. Journal of Geographical Sciences, 22(3):563-573. doi:10.1007/s11442-012- 0947-9
[8]	Chi V K, Van Rompaey A, Govers G et al., 2013. Land transitions in Northwest Vietnam:an integrated analysis of biophysical and socio-cultural factors. Human Ecology, 41(1):37-50. doi:10.1007/s10745-013- 9569-9
[9]	Crk T, Uriarte M, Corsi F et al., 2009. Forest recovery in a tropical landscape:What is the relative importance of biophysical, socioeconomic, and landscape variables? Landscape Ecology, 24(5):629-642. doi:10.1007/s10980-009- 9338-8
[10]	Ding C R, 2003. Land policy reform in China:Assessment and prospects. Land Use Policy, 20(2):109-120. doi: 10.1016/S0264-8377(02)00073-X
[11]	Dong Juan, Zang Shuying, 2011. Driving force mechanism of urban land use changes in Daqing city, Northeast China. Geo-graphical Research, 30(6):1121-1128. (in Chinese)
[12]	Gong Jianzhou, Liu Yansui, Chen Wenli, 2012. Optimal land use allocation of urban fringe in Guangzhou. Journal of Geo-graphical Sciences, 22(1):179-191. doi:10.1007/s11442-012- 0920-7
[13]	Guan Wei, Wang Xue, 2009. Human dimensions of land use change in Dalian. Geographical Research, 28(4):990-1000. (in Chinese)
[14]	He Yingbin, Chen Youqi, Yao Yanmin et al., 2009. Study on spa-tial characteristics of the relation between cultivated land non-agriculturalization and food production:a case study of the provinces in northeast China. Journal of Natural Resources, 24(3):439-447. (in Chinese)
[15]	Kong Xiangbin, Zhang Fengrong, Xu Yan et al., 2003. Arable land change and its driving forces in intensive agricultural region:the case of Quzhou County of Hebei Province. Resources Science, 25(3):57-63. (in Chinese)
[16]	Li Jinggang, He Chunyang, Shi Peijun et al., 2004. Change progress of cultivated land and its driving forces in northern China during 1983-2001. Acta Geographica Sinica, 59(2):274-282. (in Chinese)
[17]	Li X M, Zhou W Q, Ouyang Z Y, 2013. Forty years of urban ex-pansion in Beijing:what is the relative importance of physical, socioeconomic, and neighborhood factors? Applied Geography, 38:1-10. doi:10.1016/j.apgeog. 2012.11.004
[18]	Liang Youjia, Xu Zhongmin, Zhong Fanglei, 2008. Land use scenario analyses by based on system dynamic model and CLUE-S model at regional scale:a case study of Ganzhou District of Zhangye City. Geographical Research, 30(3):564-576. (in Chinese)
[19]	Liu Jiyuan, Zhang Zengxiang, Xu Xinliang et al., 2009. Spatial patterns and driving forces of land use change in China in the early 21st century. Acta Geographica Sinica, 64(12):1411-1420. (in Chinese)
[20]	Liu Qing, Chen Ligen, Zhang Fengrong, 2009. Econometric analysis of relationships between cultivated land conversion quantity and economic developments in China. Resources Science, 31(5):787-793. (in Chinese)
[21]	Liu Xiaoping, Li Xia, Ai Bin et al., 2006. Multi-agent systems for simulating and planning land use development. Acta Geogra-phica Sinica, 61(10):1101-1112. (in Chinese)
[22]	Liu Yansui, Li Yurui, 2010. Spatio-temporal coupling relationship between cultivated land and agricultural labor changes at county level in China. Acta Geographica Sinica, 65(12):1602-1612. (in Chinese)
[23]	Long Hualou, Liu Yansui, Li Xiubin et al., 2010. Building new countryside in China:a geographical perspective. Land Use Policy, 27(2):457-470. doi: 10.1016/j.landusepol.2009.06.006
[24]	Long Hualou, Li Yurui, Liu Yansui et al., 2012. Accelerated re-structuring in rural China fueled by 'ncreasing vs. decreasing balance' land-use policy for dealing with hollowed villages. Land Use Policy, 29(1):11-22. doi:10.1016/j.landusepol. 2011.04.003
[25]	Long Hualou, Tang Guoping, Li Xiubin et al., 2007. So-cio-economic driving forces of land-use change in Kunshan, the Yangtze River Delta Economic Area of China. Journal of Environmental Management, 83(3):351-364. doi:10.1016/j. jenvman.2006.04.003
[26]	Ma Zhenling, Zeng Yongnian, Yan Li, 2012. Quantitative study on driving mechanism of land use and land cover change in Changsha-Zhuzhou-Xiangtan Urban Agglomerations. Bulletin of Surveying, 10:41-44. (in Chinese)
[27]	Mao Jiangxing, Yan Xiaopei, Li Zhigang et al., 2009. A compre-hensive research on the physical and human dimensions of land use changes under rapid urbanization in Shenzhen City. Journal of Natural Resources, 24(3):523-535. (in Chinese)
[28]	Qiu Bingwen, Chen Chongcheng, 2008. Land use change simula-tion model based on MCDM and CA and its application. Acta Geographica Sinica, 63(2):165-174. (in Chinese)
[29]	Qu Futian, Chen Jianglong, Chen Wen, 2005. Theoretical and empirical study on the land conversion economic driving forces. Journal of Natural Resources, 20(2):231-241. (in Chinese)
[30]	Shi Peijun, Chen Jin, Pan Yaozhong, 2000. Land use change me-chanism in Shenzhen City. Acta Geographica Sinica, 55(2):151-160. (in Chinese)
[31]	Song X, Ouyang Z, Li Y et al., 2012. Cultivated land use change in China, 1999-2007:policy development perspectives. Journal of Geographical Sciences, 22(6):1061-1078. doi: 10.1007/s11442-012-0983-5
[32]	Xie Hualin, Li Bo, 2008. Driving forces analysis of land-use pat-tern changes based on logistic regression model in the farm-ing-pastoral zone:a case study of Ongiud Banner, Inner Mongolia. Geographical Research, 27(2):294-304. (in Chi-nese)
[33]	Yan Xiaopei, Mao Jiangxing, Pu Jun, 2006. Research on the hu-man dimensions of land use changes in the Mega-Urban Re-gion:A case study of the Pearl River Delta. Acta Geographica Sinica, 61(6):613-623. (in Chinese)
[34]	Yang Ren, Liu Yansui, Chen Yufu et al., 2013. The remote sensing inversion for spatial and temporal changes of multiple cropping index and detection for influencing factors Around Bohai Rim in China. Scientia Geographica Sinica, 33(5):588-593. (in Chinese)
[35]	Ye Changsheng, Dong Yuxiang, 2011. Fractal analysis of land use in Zhujiang River Delta. Transactions of the Chinese Society of Agricultural Engineering, 27(4):330-335. (in Chinese)
[36]	Yu B, Lu C, 2006. Change of cultivated land and its implications on food security in China, Chinese Geographical Science, 16(4):299-305. doi: 10.1007/s11769-006-0299-4
[37]	Yu Linjun, Sun Danfeng, Peng Zhongren et al., 2013. A cellular automata land use model based on localized transition rules. Geographical Research, 32(2):671-682. (in Chinese)
[38]	Zhang Guoping, Liu Jiyuan, Zhang Zengxiang, 2003. Spa-tial-temporal changes of cropland in China for the past ten years based on remote sensing. Acta Geographica Sinica, 58(3):323-332. (in Chinese)
[39]	Zhu Huiyi, He Shujin, Zhang Ming, 2001a. Driving forces analy-sis of land use change in Bohai Rim. Geographical Research, 20(6):670-678. (in Chinese)
[40]	Zhu Huiyi, Li Xiubin, He Shujin et al., 2001b. Spatio-temporal change of land use in Bohai Rim. Acta Geographica Sinica, 56(3):253-260. (in Chinese)

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通讯作者: 陈斌, bchen63@163.com

1.
沈阳化工大学材料科学与工程学院沈阳 110142

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Driving Mechanism of Cultivated Land Transition in Yantai Proper, Shandong Province, China

1. Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China;

2. Geo-graphy and Planning School of Ludong University, Yantai 264025, China

Funds: Under the auspices of National Natural Science Foundation of China (No. 41130748)

Corresponding author: ZHANG Yifeng. E-mail:zhangyf@igsnrr.ac.cn

Received Date: 2014-01-10

Rev Recd Date: 2014-05-05

Publish Date: 2015-03-27

Key words:

Abstract: Cultivated land transition and its driving mechanism are the hotspots among studies on land use change. In this study, we constructed a framework to study the driving mechanism of cultivated land transition from the quantitative perspective. Based on the vector data of land use in 1990, 2000 and 2009 of Yantai Proper, Shandong Province China, 11 explanatory variables were chosen from two aspects:the elevation, slope, cost distance to major water area and cost distance to minor water area, which presented physical factors;cost distance to district center, cost distance to town center, cost distance to city expansion center, cost distance to major roads, cost distance to city roads, cost distance to county roads and cost distance to rural roads, which presented the socio-economic factors. Combined with spatial analysis tools and Logistic regression analysis model, we construct Logistic regression analyses with four objectives that were urban construction land, rural residential land, orchard and other lands. The results show that, cost distance to district center, cost distance to town center, cost distance to city expansion center and cost distance to city roads are the significant explanatory variables for the transition of cultivated land into urban construction land. The main explained factors on the transition of cultivated land into rural residential land are slope, cost distance to town center, cost distance to county roads and cost distance to rural roads. Slope, cost distance to minor water area, cost distance to town center, cost distance to county roads and cost distance to rural roads are the significant explanatory variables for the transition of cultivated land into orchard land. Elevation, slope, cost distance to major water area and cost distance to minor water area are the main explanatory variables on the transition of cultivated land into other land uses.

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Reference (40)

[1]	Bai Wanqi, Zhang Yili, 2002. Role of traditional cultural factors in land use changes in the Qinghai-Tibet Plateau. Resources Science, 24(4):11-15. (in Chinese)
[2]	Barbier E B, Burgess J C, Grainger A, 2010. The forest transition:towards a more comprehensive theoretical framework. Land Use Policy, 27(2):98-107. doi:10.1016/j.landusepol.2009. 02.001
[3]	Betts M G, Diamond A W, Forbes G J et al., 2006. The importance of spatial autocorrelation, extent and resolution in predicting forest bird occurrence. Ecological Modelling, 191(2):197-224. doi:10.1016/j.ecolmodel.2005.04.027
[4]	Cai Yunlong, Wang Yong, Li Yuping, 2009. Study on changing relationship of demand and supply of cultivated land in China. China Land Science, 23(3):11-18, 31. (in Chinese)
[5]	Cao Yingui, Bai Zhongke, Zhou Wei et al., 2013. Forces driving changes in cultivated land and management countermeasures in the Three Gorges Reservoir Area, China. Journal of Mountain Science, 10(1):149-162. doi:10.1007/s11629-013-2240-5
[6]	Chen J F, Wei S Q, Chang K T et al., 2007. A comparative case study of cultivated land changes in Fujian and Taiwan. Land Use Policy, 24(2):386-395. doi:10.1016/j.landusepol.2006. 05.002
[7]	Chen Z, Lu C H, Fan L, 2012. Cultivated land changes and the driving forces in Yucheng, North China Plain. Journal of Geographical Sciences, 22(3):563-573. doi:10.1007/s11442-012- 0947-9
[8]	Chi V K, Van Rompaey A, Govers G et al., 2013. Land transitions in Northwest Vietnam:an integrated analysis of biophysical and socio-cultural factors. Human Ecology, 41(1):37-50. doi:10.1007/s10745-013- 9569-9
[9]	Crk T, Uriarte M, Corsi F et al., 2009. Forest recovery in a tropical landscape:What is the relative importance of biophysical, socioeconomic, and landscape variables? Landscape Ecology, 24(5):629-642. doi:10.1007/s10980-009- 9338-8
[10]	Ding C R, 2003. Land policy reform in China:Assessment and prospects. Land Use Policy, 20(2):109-120. doi:10.1016/S0264-8377(02)00073-X
[11]	Dong Juan, Zang Shuying, 2011. Driving force mechanism of urban land use changes in Daqing city, Northeast China. Geo-graphical Research, 30(6):1121-1128. (in Chinese)
[12]	Gong Jianzhou, Liu Yansui, Chen Wenli, 2012. Optimal land use allocation of urban fringe in Guangzhou. Journal of Geo-graphical Sciences, 22(1):179-191. doi:10.1007/s11442-012- 0920-7
[13]	Guan Wei, Wang Xue, 2009. Human dimensions of land use change in Dalian. Geographical Research, 28(4):990-1000. (in Chinese)
[14]	He Yingbin, Chen Youqi, Yao Yanmin et al., 2009. Study on spa-tial characteristics of the relation between cultivated land non-agriculturalization and food production:a case study of the provinces in northeast China. Journal of Natural Resources, 24(3):439-447. (in Chinese)
[15]	Kong Xiangbin, Zhang Fengrong, Xu Yan et al., 2003. Arable land change and its driving forces in intensive agricultural region:the case of Quzhou County of Hebei Province. Resources Science, 25(3):57-63. (in Chinese)
[16]	Li Jinggang, He Chunyang, Shi Peijun et al., 2004. Change progress of cultivated land and its driving forces in northern China during 1983-2001. Acta Geographica Sinica, 59(2):274-282. (in Chinese)
[17]	Li X M, Zhou W Q, Ouyang Z Y, 2013. Forty years of urban ex-pansion in Beijing:what is the relative importance of physical, socioeconomic, and neighborhood factors? Applied Geography, 38:1-10. doi:10.1016/j.apgeog. 2012.11.004
[18]	Liang Youjia, Xu Zhongmin, Zhong Fanglei, 2008. Land use scenario analyses by based on system dynamic model and CLUE-S model at regional scale:a case study of Ganzhou District of Zhangye City. Geographical Research, 30(3):564-576. (in Chinese)
[19]	Liu Jiyuan, Zhang Zengxiang, Xu Xinliang et al., 2009. Spatial patterns and driving forces of land use change in China in the early 21st century. Acta Geographica Sinica, 64(12):1411-1420. (in Chinese)
[20]	Liu Qing, Chen Ligen, Zhang Fengrong, 2009. Econometric analysis of relationships between cultivated land conversion quantity and economic developments in China. Resources Science, 31(5):787-793. (in Chinese)
[21]	Liu Xiaoping, Li Xia, Ai Bin et al., 2006. Multi-agent systems for simulating and planning land use development. Acta Geogra-phica Sinica, 61(10):1101-1112. (in Chinese)
[22]	Liu Yansui, Li Yurui, 2010. Spatio-temporal coupling relationship between cultivated land and agricultural labor changes at county level in China. Acta Geographica Sinica, 65(12):1602-1612. (in Chinese)
[23]	Long Hualou, Liu Yansui, Li Xiubin et al., 2010. Building new countryside in China:a geographical perspective. Land Use Policy, 27(2):457-470. doi:10.1016/j.landusepol.2009.06.006
[24]	Long Hualou, Li Yurui, Liu Yansui et al., 2012. Accelerated re-structuring in rural China fueled by 'ncreasing vs. decreasing balance' land-use policy for dealing with hollowed villages. Land Use Policy, 29(1):11-22. doi:10.1016/j.landusepol. 2011.04.003
[25]	Long Hualou, Tang Guoping, Li Xiubin et al., 2007. So-cio-economic driving forces of land-use change in Kunshan, the Yangtze River Delta Economic Area of China. Journal of Environmental Management, 83(3):351-364. doi:10.1016/j. jenvman.2006.04.003
[26]	Ma Zhenling, Zeng Yongnian, Yan Li, 2012. Quantitative study on driving mechanism of land use and land cover change in Changsha-Zhuzhou-Xiangtan Urban Agglomerations. Bulletin of Surveying, 10:41-44. (in Chinese)
[27]	Mao Jiangxing, Yan Xiaopei, Li Zhigang et al., 2009. A compre-hensive research on the physical and human dimensions of land use changes under rapid urbanization in Shenzhen City. Journal of Natural Resources, 24(3):523-535. (in Chinese)
[28]	Qiu Bingwen, Chen Chongcheng, 2008. Land use change simula-tion model based on MCDM and CA and its application. Acta Geographica Sinica, 63(2):165-174. (in Chinese)
[29]	Qu Futian, Chen Jianglong, Chen Wen, 2005. Theoretical and empirical study on the land conversion economic driving forces. Journal of Natural Resources, 20(2):231-241. (in Chinese)
[30]	Shi Peijun, Chen Jin, Pan Yaozhong, 2000. Land use change me-chanism in Shenzhen City. Acta Geographica Sinica, 55(2):151-160. (in Chinese)
[31]	Song X, Ouyang Z, Li Y et al., 2012. Cultivated land use change in China, 1999-2007:policy development perspectives. Journal of Geographical Sciences, 22(6):1061-1078. doi:10.1007/s11442-012-0983-5
[32]	Xie Hualin, Li Bo, 2008. Driving forces analysis of land-use pat-tern changes based on logistic regression model in the farm-ing-pastoral zone:a case study of Ongiud Banner, Inner Mongolia. Geographical Research, 27(2):294-304. (in Chi-nese)
[33]	Yan Xiaopei, Mao Jiangxing, Pu Jun, 2006. Research on the hu-man dimensions of land use changes in the Mega-Urban Re-gion:A case study of the Pearl River Delta. Acta Geographica Sinica, 61(6):613-623. (in Chinese)
[34]	Yang Ren, Liu Yansui, Chen Yufu et al., 2013. The remote sensing inversion for spatial and temporal changes of multiple cropping index and detection for influencing factors Around Bohai Rim in China. Scientia Geographica Sinica, 33(5):588-593. (in Chinese)
[35]	Ye Changsheng, Dong Yuxiang, 2011. Fractal analysis of land use in Zhujiang River Delta. Transactions of the Chinese Society of Agricultural Engineering, 27(4):330-335. (in Chinese)
[36]	Yu B, Lu C, 2006. Change of cultivated land and its implications on food security in China, Chinese Geographical Science, 16(4):299-305. doi:10.1007/s11769-006-0299-4
[37]	Yu Linjun, Sun Danfeng, Peng Zhongren et al., 2013. A cellular automata land use model based on localized transition rules. Geographical Research, 32(2):671-682. (in Chinese)
[38]	Zhang Guoping, Liu Jiyuan, Zhang Zengxiang, 2003. Spa-tial-temporal changes of cropland in China for the past ten years based on remote sensing. Acta Geographica Sinica, 58(3):323-332. (in Chinese)
[39]	Zhu Huiyi, He Shujin, Zhang Ming, 2001a. Driving forces analy-sis of land use change in Bohai Rim. Geographical Research, 20(6):670-678. (in Chinese)
[40]	Zhu Huiyi, Li Xiubin, He Shujin et al., 2001b. Spatio-temporal change of land use in Bohai Rim. Acta Geographica Sinica, 56(3):253-260. (in Chinese)

Driving Mechanism of Cultivated Land Transition in Yantai Proper, Shandong Province, China

doi: 10.1007/s11769-014-0712-3

Abstract

References

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通讯作者: 陈斌, bchen63@163.com

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