中国地理科学(英文版) ›› 2013, Vol. 23 ›› Issue (3): 365-377.doi: 10.1007/s11769-013-0600-2

• 论文 • 上一篇    下一篇

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

LIU Xiaona1,2, ZHANG Weiwei3, LI Hong3, SUN Danfeng1   

  1. 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
  • 收稿日期:2012-06-19 修回日期:2012-11-16 出版日期:2013-05-29 发布日期:2013-05-30
  • 通讯作者: SUN Danfeng. E-mail: lihsdf@cau.edu.cn E-mail:lihsdf@cau.edu.cn
  • 基金资助:

    Under the auspices of National Natural Science Foundation of China (No. 41130526), Beijing Municipal Natural Science Foundation (No. 8122020)

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

LIU Xiaona1,2, ZHANG Weiwei3, LI Hong3, SUN Danfeng1   

  1. 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
  • Received:2012-06-19 Revised:2012-11-16 Online:2013-05-29 Published:2013-05-30
  • Contact: SUN Danfeng. E-mail: lihsdf@cau.edu.cn E-mail:lihsdf@cau.edu.cn
  • Supported by:

    Under the auspices of National Natural Science Foundation of China (No. 41130526), Beijing Municipal Natural Science Foundation (No. 8122020)

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.

关键词: farmland loss, loss risk, site analysis, logistic regression analysis, power-law distribution

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.

Key words: farmland loss, loss risk, site analysis, logistic regression analysis, power-law distribution