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Modeling Patch Characteristics of Farmland Loss for Site Assessment in Urban Fringe of Beijing, China

LIU Xiaona,  ZHANG Weiwei,  LI Hong,  SUN Danfeng

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文章导航 > Chinese Geographical Science  > 2013 >  23(3): 365-377
LIU Xiaona, ZHANG Weiwei, LI Hong, SUN Danfeng. Modeling Patch Characteristics of Farmland Loss for Site Assessment in Urban Fringe of Beijing, China[J]. 中国地理科学, 2013, 23(3): 365-377. doi: 10.1007/s11769-013-0600-2
引用本文: LIU Xiaona, ZHANG Weiwei, LI Hong, SUN Danfeng. Modeling Patch Characteristics of Farmland Loss for Site Assessment in Urban Fringe of Beijing, China[J]. 中国地理科学, 2013, 23(3): 365-377. doi: 10.1007/s11769-013-0600-2
shu
LIU Xiaona, ZHANG Weiwei, LI Hong, SUN Danfeng. Modeling Patch Characteristics of Farmland Loss for Site Assessment in Urban Fringe of Beijing, China[J]. Chinese Geographical Science, 2013, 23(3): 365-377. doi: 10.1007/s11769-013-0600-2
Citation: LIU Xiaona, ZHANG Weiwei, LI Hong, SUN Danfeng. Modeling Patch Characteristics of Farmland Loss for Site Assessment in Urban Fringe of Beijing, China[J]. Chinese Geographical Science, 2013, 23(3): 365-377. doi: 10.1007/s11769-013-0600-2
shu

Modeling Patch Characteristics of Farmland Loss for Site Assessment in Urban Fringe of Beijing, China

doi: 10.1007/s11769-013-0600-2
  • 1.

    College of Resources and Environmental Sciences, China Agricultural University, Beijing 100193, China;

  • 2.

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

  • 3.

    Institute of System Comprehensive Development, Beijing Academy of Agriculture and Forest Science, Beijing 100097, China

基金项目: Under the auspices of National Natural Science Foundation of China (No. 41130526), Beijing Municipal Natural Science Foundation (No. 8122020)
详细信息
    通讯作者:

    SUN Danfeng. E-mail: lihsdf@cau.edu.cn

Modeling Patch Characteristics of Farmland Loss for Site Assessment in Urban Fringe of Beijing, China

  • 1.

    College of Resources and Environmental Sciences, China Agricultural University, Beijing 100193, China;

  • 2.

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

  • 3.

    Institute of System Comprehensive Development, Beijing Academy of Agriculture and Forest Science, Beijing 100097, China

Funds: Under the auspices of National Natural Science Foundation of China (No. 41130526), Beijing Municipal Natural Science Foundation (No. 8122020)
More Information
    Corresponding author: SUN Danfeng. E-mail: lihsdf@cau.edu.cn

  • 摘要: Farmland protection and delimitation in the urban fringe considers not only natural factors but also the spatial characters and site factors. Taking Daxing District, Beijing in China as a case study, this paper used landscape ecology and power-law methods to analyze and evaluate farmland loss during the period of 2004-2007 based on the interpretation results of SPOT5 remote sensing images in 2004 and 2007. At the patch level, we selected four landscape indices, namely patch size, shape index, the nearest neighbor distance between farmland and construction land (including residential land and other construction land), and cropping type, to evaluate the risk of farmland loss and establish a farmland site analysis indicator system. The results showed that patch size and shape index have a significant positive correlation with farmland loss, whereas the distance to construction land has a clear negative correlation with farmland loss. As regards cropping type, fallow farmland is much easier for non-agricultural use than cultivated farmland. The relative transition ratio among vegetable land, fallow farmland and cultivated farmland is 1:5.6:1. The patch size of lost farmland follows a power-law distribution, indicating that not only small parcels but also large parcels can be lost. Patch size less than 4 ha or more than 15 ha is in high loss risk, between 4 ha and 10 ha in medium loss risk, and larger than 10 ha and less than 15 ha in low risk. Farmland with a more regular shape has a higher likelihood of loss. Patch shape index less than 2.0 is in high loss risk, between 2.0 and 3.0 in medium loss risk, and larger than 3.0 in low risk. Construction land has a varying impact on farmland loss, the residential land effected distance is 1000 m, and that of the other construction land is 2000 m. This analysis showed the relationships between site factors and farmland loss, and the analysis framework can provide support and reference for farmland protection and delimitation of prime farmland in China.
    Abstract: Farmland protection and delimitation in the urban fringe considers not only natural factors but also the spatial characters and site factors. Taking Daxing District, Beijing in China as a case study, this paper used landscape ecology and power-law methods to analyze and evaluate farmland loss during the period of 2004-2007 based on the interpretation results of SPOT5 remote sensing images in 2004 and 2007. At the patch level, we selected four landscape indices, namely patch size, shape index, the nearest neighbor distance between farmland and construction land (including residential land and other construction land), and cropping type, to evaluate the risk of farmland loss and establish a farmland site analysis indicator system. The results showed that patch size and shape index have a significant positive correlation with farmland loss, whereas the distance to construction land has a clear negative correlation with farmland loss. As regards cropping type, fallow farmland is much easier for non-agricultural use than cultivated farmland. The relative transition ratio among vegetable land, fallow farmland and cultivated farmland is 1:5.6:1. The patch size of lost farmland follows a power-law distribution, indicating that not only small parcels but also large parcels can be lost. Patch size less than 4 ha or more than 15 ha is in high loss risk, between 4 ha and 10 ha in medium loss risk, and larger than 10 ha and less than 15 ha in low risk. Farmland with a more regular shape has a higher likelihood of loss. Patch shape index less than 2.0 is in high loss risk, between 2.0 and 3.0 in medium loss risk, and larger than 3.0 in low risk. Construction land has a varying impact on farmland loss, the residential land effected distance is 1000 m, and that of the other construction land is 2000 m. This analysis showed the relationships between site factors and farmland loss, and the analysis framework can provide support and reference for farmland protection and delimitation of prime farmland in China.
  • [1] Androkovich R A, 2013. British Columbia's agricultural land reserve: Economic, legal and political issues. Land Use Policy, 30(1): 365-372. doi:  10.1016/j.landusepol.2012.03.026
    [2] Buyantuyev A, Wu J G, Gries C, 2010. Multiscale analysis of the urbanization pattern of the Phoenix metropolitan landscape of USA: Time, space and thematic resolution. Landscape and Urban Planning, 94(3-4): 206-217. doi: 10.1016/j.landurbplan. 2009.10.005
    [3] Cheng Jinnan, Zhao Gengxing, Zhang Zixue et al., 2009. GIS supported comprehensive evaluation of cultivated land quality at small scale: A case study in Dingzhuang town of Shandong province. Journal of Natural Resources, 24(3): 536-544. (in Chinese)
    [4] Coughlin E R, Pease R J, Steiner F et al., 1994. The status of state and local LESA programs. Journal of Soil and Water Conser-vation, 49(1): 6-13.
    [5] Cousins S A O, Aggemyr E, 2008. The influence of field shape, area and surrounding landscape on plant species richness in grazed ex-fields. Biological Conservation, 141(1): 126-135. doi:  10.1016/j.biocon.2007.09.004
    [6] Dumanski J, Pieri C, 2000. Land quality indicators: research plan. Agriculture, Ecosystems and Environment, 81(2): 93-102. doi:  10.1016/S0167-8809(00)00183-3
    [7] Dunford W R, Roe R D, Steiner R F et al., 1983. Implementing LESA in Whitman County, Washington. Journal of Soil and Water Conservation, 38(2): 87-89.
    [8] Dung E J, Sugumaran R, 2005. Development of an agricultural land evaluation and site assessment (LESA) decision support tool using remote sensing and geographic information system. Journal of Soil and Water Conservation, 60(5): 228-235.
    [9] Fan Wengyang, Kong Xiangbin, Men Mingxin et al., 2009. Eval-uation on cultivated land resources stability in Beijing Daxing district. China Land Science, 23(4): 48-53, 80. (in Chinese)
    [10] Forman R T T, Godron M, 1986. Landscape Ecology. New York: John Wiley and Sons.
    [11] Hoobler B M, Vance G F, Hamerlinck J D et al., 2003. Applications of land evaluation and site assessment (LESA) and a geographic information system (GIS) in East Park County, Wyoming. Journal of Soil and Water Conservation, 58(2): 105-112.
    [12] Kong Xiangbin, Liu Lingwei, Qin Jing, 2008. Arable land evaluation based on the household land use behavior in Daxing District of Beijing. Acta Geographic Sinica, 63(8): 856-868. (in Chinese)
    [13] Lambin E F, Geist H J, 2001. Global land-use/land-cover changes: What have we learned so far? Global Change Newsletter, 46(6): 27-30.
    [14] Li Decheng, Hua Jianming, Li Zhongpei et al., 2003. Changes in trace element contents in greenhouse soils and years of vegetable cultivation. Soils, 35(6): 495-499. (in Chinese)
    [15] Li Harbin, Wu Jianguo, 2004. Use and misuse of landscape indices. Landscape Ecology, 19(4): 389-399. doi: 10.1023/B: LAND.0000030441.15628.d6
    [16] Li Shifeng, Bai Renpu, 2003. A strategic thought about soil utili-zation in joining area between city and suburbs. Research of Agricultural Modernization, 24(4): 248-251. (in Chinese)
    [17] Li Tuansheng, Zhao Dan, Shi Yuqiong, 2010. Farmland grading based on land evaluation and site assessment method in Jin-gyang county, Shaanxi Province. Transactions of the CSAE, 26(5): 324-328. (in Chinese)
    [18] Liu Ruiping, 2004. The Contributing Ratio of Natural Factor and Socio-economic Factor to the Quality of Cultivated Land. Bei-jing: China Agricultural University. (in Chinese)
    [19] Liu Ruiping, Quan Fangrui, 2004. The implication to China's rural land management from land evaluation and site assessment. Rural Economy, (6): 95-97. (in Chinese)
    [20] Liu Xiaona, Li Xianhai, Sun Danfeng et al, 2011. Landscape extraction and corridor site assessment of farmland in urban fringe using SPOT5 remote sensing image. Transactions of the CSAE, 27(4): 317-323. (in Chinese)
    [21] Liu Yansui, Zhang Yanyu, Guo Liying, 2010. Towards realistic assessment of cultivated land quality in an ecologically fragile environment: A satellite imagery-based approach. Applied Geography, 30(2): 271-281. doi:  10.1016/j.apgeog.2009.07.002
    [22] Lu Mingxing, He Liyuan, Wu Lishu et al, 2006. Evaluation of the farmland productivity of hilly region of central China based on GIS. Transactions of the CSAE, 22(8): 96-101. (in Chinese)
    [23] Lu Yihe, Chen Liding, Fu Bojie, 2007. Analysis of the integrating approach on landscape pattern and ecological processes. Progress in Geography, 26(3): 1-10. (in Chinese)
    [24] Mei Rong, Yu Shan, Du Wala, 2007. Farmland distributes in Arong Banner of Inner Mongolia and its standing condition analysis based on RS and GIS. Journal of Inner Mongolia Normal University (Natural Science Edition), 36(2): 217-221. (in Chinese)
    [25] Mitzenmacher M, 2001. A brief history of generative models or power law and lognormal distributions. Internet Mathematics, 1(2): 226-251. doi:  10.1.1.87.8075
    [26] Newman M E J, 2005. Power laws, Pareto distributions and Zipf's law. Contemporary Physics, 3(46): 323-351. doi:  10.1080/00107510500052444
    [27] Nie Qinghua, Bao Haosheng, 1999. Experience and inspiration of foreign farmland resource protection. Economic Geography, 19(2): 48-52. (in Chinese)
    [28] Nie Qinghua, Bao Haosheng, Wang Haiying, 2000. The quality evaluation and site assessment of agriculture land based on GIS: A case study in Liangxiang town, Fangshan District, Beijing. Scientia Geography Sinica, 20(4): 307-312. (in Chinese)
    [29] Qian Fengkui, Wang Qiubing, Bian Zhenxing et al., 2011. Farm-land quality evaluation and site assessment in Lingyuan city. Transactions of the CSAE, 27(11): 325-329. (in Chinese)
    [30] Quan Bin, Zhu H J, Chen S L et al., 2007. Land suitability as-sessment and land use change in Fujian Province, China. Pe-dosphere, 17(4): 493-504. doi: 10.1016/S1002-0160(07) 60059-9
    [31] Song Xiaoqing, Ou Yangzhu, 2012. Connotation of multifunc-tional cultivated land and its implications for cultivated land protection. Progress in Geography, 31(7): 859-868. (in Chi-nese)
    [32] Steiner F, Dunford R, Dosdall N, 1987. The use of the agricultural land evaluation and site assessment system in the United States. Landscape and Urban Planning, 14(1): 183-199. doi:  10.1016/0169-2046(87)90028-4
    [33] Sun Qiang, Cai Yunlong, Wang Le, 2007. Temporal-spatial processes of farmland conversion and its driving mechanisms in Beijing. Resources Science, 29(4): 158-163. (in Chinese)
    [34] Tan Minghong, Lu Changhe, 2005. Urban land expansion and farmland loss in China. Journal of Natural Resources, 20(1): 52-58. (in Chinese)
    [35] Tang Xiumei, Chen Baiming, Lu Qingbin et al., 2010. Analysis on the landscape patterns changes of land use in urban fringe area: A case study in Daxing district of Beijing. China Population, Resources and Environment, 20(8): 159-163. (in Chinese)
    [36] Tischendorf L, 2001. Can landscape indices predict ecological processes consistently? Landscape Ecology, 16(3): 235-254. doi:  10.1023/A:1011112719782
    [37] Yang Guishan, 2001. The process and driving forces of change in arable-land area in the Yangtze River Delta during the past 50 years. Journal of Natural Resources, 16(2): 121-127. (in Chi-nese)
    [38] Yu Zhenrong, 2008. Landscape Ecology. Beijing: Chemical In-dustry Press, 15-35. (in Chinese)
    [39] Yuan Donghai, Wang Zhaoqian, Chen Xin et al., 2002. Characte-ristics of nitrogen loss from sloping field in red soil area under different cultivation practices. Chinese Journal of Applied Ecology, 13(7): 863-866. (in Chinese)
    [40] Yue Depeng, Wang Jiping, Liu Yongbing et al., 2008. Spatial and temporal characteristics of agricultural land-use and landscape pattern changes in northwest of Beijing. Transactions of the CSAE, 24(6): 89-95. (in Chinese)
    [41] Zhang Fengrong, Hao Xiying, Wang Ru et al., 2004. Changes in soil properties in southern Beijing Municipality following land reform. Soil and Tillage Research, 75(2): 143-150. doi:  10.1016/j.still.2003.07.001
    [42] Zhao Gengxing, Li Xiujuan, Li Tao et al., 2005. Analysis of soil nutrient situation under different cultivated land use types. Transactions of the CSAE, 21(10): 55-58. (in Chinese)
    [43] Zhao Huafu, Zhang Fengrong, 2008. Analysis of agricultural landscape and the zoning layout of agricultural function in Beijing. Transactions of the CSAE, 24(supp.1): 78-84. (in Chinese)
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出版历程
  • 收稿日期:  2012-06-19
  • 修回日期:  2012-11-16
  • 刊出日期:  2013-05-29

Modeling Patch Characteristics of Farmland Loss for Site Assessment in Urban Fringe of Beijing, China

doi: 10.1007/s11769-013-0600-2
  • 1. College of Resources and Environmental Sciences, China Agricultural University, Beijing 100193, China;
  • 2. Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China;
  • 3. Institute of System Comprehensive Development, Beijing Academy of Agriculture and Forest Science, Beijing 100097, China
    • 基金项目:  Under the auspices of National Natural Science Foundation of China (No. 41130526), Beijing Municipal Natural Science Foundation (No. 8122020)
    通讯作者: SUN Danfeng. E-mail: lihsdf@cau.edu.cn
  • 收稿日期: 2012-06-19
  • 修回日期: 2012-11-16
  • 刊出日期: 2013-05-29

摘要: Farmland protection and delimitation in the urban fringe considers not only natural factors but also the spatial characters and site factors. Taking Daxing District, Beijing in China as a case study, this paper used landscape ecology and power-law methods to analyze and evaluate farmland loss during the period of 2004-2007 based on the interpretation results of SPOT5 remote sensing images in 2004 and 2007. At the patch level, we selected four landscape indices, namely patch size, shape index, the nearest neighbor distance between farmland and construction land (including residential land and other construction land), and cropping type, to evaluate the risk of farmland loss and establish a farmland site analysis indicator system. The results showed that patch size and shape index have a significant positive correlation with farmland loss, whereas the distance to construction land has a clear negative correlation with farmland loss. As regards cropping type, fallow farmland is much easier for non-agricultural use than cultivated farmland. The relative transition ratio among vegetable land, fallow farmland and cultivated farmland is 1:5.6:1. The patch size of lost farmland follows a power-law distribution, indicating that not only small parcels but also large parcels can be lost. Patch size less than 4 ha or more than 15 ha is in high loss risk, between 4 ha and 10 ha in medium loss risk, and larger than 10 ha and less than 15 ha in low risk. Farmland with a more regular shape has a higher likelihood of loss. Patch shape index less than 2.0 is in high loss risk, between 2.0 and 3.0 in medium loss risk, and larger than 3.0 in low risk. Construction land has a varying impact on farmland loss, the residential land effected distance is 1000 m, and that of the other construction land is 2000 m. This analysis showed the relationships between site factors and farmland loss, and the analysis framework can provide support and reference for farmland protection and delimitation of prime farmland in China.

English Abstract

LIU Xiaona, ZHANG Weiwei, LI Hong, SUN Danfeng. Modeling Patch Characteristics of Farmland Loss for Site Assessment in Urban Fringe of Beijing, China[J]. 中国地理科学, 2013, 23(3): 365-377. doi: 10.1007/s11769-013-0600-2
引用本文: LIU Xiaona, ZHANG Weiwei, LI Hong, SUN Danfeng. Modeling Patch Characteristics of Farmland Loss for Site Assessment in Urban Fringe of Beijing, China[J]. 中国地理科学, 2013, 23(3): 365-377. doi: 10.1007/s11769-013-0600-2
shu
LIU Xiaona, ZHANG Weiwei, LI Hong, SUN Danfeng. Modeling Patch Characteristics of Farmland Loss for Site Assessment in Urban Fringe of Beijing, China[J]. Chinese Geographical Science, 2013, 23(3): 365-377. doi: 10.1007/s11769-013-0600-2
Citation: LIU Xiaona, ZHANG Weiwei, LI Hong, SUN Danfeng. Modeling Patch Characteristics of Farmland Loss for Site Assessment in Urban Fringe of Beijing, China[J]. Chinese Geographical Science, 2013, 23(3): 365-377. doi: 10.1007/s11769-013-0600-2
shu

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