Literature DB >> 28905153

Land use change and its driving forces toward mutual conversion in Zhangjiakou City, a farming-pastoral ecotone in Northern China.

Chao Liu1,2, Yueqing Xu3,4, Piling Sun1,2, An Huang1,2, Weiran Zheng1,2.   

Abstract

Land use/cover change (LUCC), a local environmental issue of global importance, and its driving forces have been crucial issues in geography and environmental research. Previous studies primarily focused on major driving factors in various land use types, with few explorations of differences between driving forces of mutual land use type conversions, especially in fragile eco-environments. In this study, Zhangjiakou City, in a farming-pastoral ecotone in Northern China, was taken as an example to analyze land use change between 1989 and 2015, and explore the driving forces of mutual land use type conversions using canonical correlation analysis. Satellite images and government statistics, including social-economic and natural data, were used as sources. Arable land, forestland, and grassland formed the main land use structure. From 1989 to 2015 forestland, orchard land, and construction land significantly increased, while arable land, grassland, unused land, and water areas decreased. Conversions from grassland to forestland; from arable land to orchard land, forestland and construction land; and from unused land to grassland and forestland were the primary land use changes. Among these, the conversion from grassland to forestland had the highest ranking. Average annual precipitation and per capita net income of rural residents positively affected the conversion of arable land to forestland and unused land to grassland. GDP, total population, and urbanization rate contributed most significantly to converting arable land to construction land; total retail sales of social consumer goods, average annual temperature, and GDP had important positive influences in converting arable land to orchard land.

Keywords:  Canonical correlation analysis; Driving forces; Farming-pastoral ecotone in Northern China; Land use change; Zhangjiakou City, Hebei Province

Mesh:

Year:  2017        PMID: 28905153     DOI: 10.1007/s10661-017-6218-6

Source DB:  PubMed          Journal:  Environ Monit Assess        ISSN: 0167-6369            Impact factor:   2.513


  14 in total

1.  Modeling the spatial dynamics of regional land use: the CLUE-S model.

Authors:  Peter H Verburg; Welmoed Soepboer; A Veldkamp; Ramil Limpiada; Victoria Espaldon; Sharifah S A Mastura
Journal:  Environ Manage       Date:  2002-09       Impact factor: 3.266

2.  Canonical correlation analysis: an overview with application to learning methods.

Authors:  David R Hardoon; Sandor Szedmak; John Shawe-Taylor
Journal:  Neural Comput       Date:  2004-12       Impact factor: 2.026

3.  Social, economic, and ecological impacts of the "Grain for Green" project in China: a preliminary case in Zhangye, Northwest China.

Authors:  H Peng; G Cheng; Z Xu; Y Yin; W Xu
Journal:  J Environ Manage       Date:  2006-11-22       Impact factor: 6.789

4.  A methodology of characterizing status and trend of land changes in oases: a case study of Sangong River watershed, Xinjiang, China.

Authors:  G P Luo; C H Zhou; X Chen; Y Li
Journal:  J Environ Manage       Date:  2007-05-24       Impact factor: 6.789

5.  An econometric analysis of changes in arable land utilization using multinomial logit model in Pinggu district, Beijing, China.

Authors:  Yueqing Xu; Paul McNamara; Yanfang Wu; Yue Dong
Journal:  J Environ Manage       Date:  2013-06-15       Impact factor: 6.789

Review 6.  From land cover change to land function dynamics: a major challenge to improve land characterization.

Authors:  Peter H Verburg; Jeannette van de Steeg; A Veldkamp; Louise Willemen
Journal:  J Environ Manage       Date:  2008-09-21       Impact factor: 6.789

7.  China's primary programs of terrestrial ecosystem restoration: initiation, implementation, and challenges.

Authors:  Runsheng Yin; Guiping Yin
Journal:  Environ Manage       Date:  2009-09-23       Impact factor: 3.266

Review 8.  Global consequences of land use.

Authors:  Jonathan A Foley; Ruth Defries; Gregory P Asner; Carol Barford; Gordon Bonan; Stephen R Carpenter; F Stuart Chapin; Michael T Coe; Gretchen C Daily; Holly K Gibbs; Joseph H Helkowski; Tracey Holloway; Erica A Howard; Christopher J Kucharik; Chad Monfreda; Jonathan A Patz; I Colin Prentice; Navin Ramankutty; Peter K Snyder
Journal:  Science       Date:  2005-07-22       Impact factor: 47.728

9.  Rural Land Use Change during 1986-2002 in Lijiang, China, Based on Remote Sensing and GIS Data.

Authors:  Jian Peng; Jiansheng Wu; He Yin; Zhengguo Li; Qing Chang; Tianlong Mu
Journal:  Sensors (Basel)       Date:  2008-12-11       Impact factor: 3.576

10.  Using remote sensing and GIS to detect and monitor land use and land cover change in Dhaka Metropolitan of Bangladesh during 1960-2005.

Authors:  Ashraf M Dewan; Yasushi Yamaguchi
Journal:  Environ Monit Assess       Date:  2008-03-04       Impact factor: 3.307

View more
  1 in total

1.  Spatiotemporal Variation Characteristics of Ecosystem Service Losses in the Agro-Pastoral Ecotone of Northern China.

Authors:  Yuejuan Yang; Kun Wang; Di Liu; Xinquan Zhao; Jiangwen Fan; Jinsheng Li; Xiajie Zhai; Cong Zhang; Ruyi Zhan
Journal:  Int J Environ Res Public Health       Date:  2019-04-03       Impact factor: 3.390

  1 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.