地理科学进展 ›› 2012, Vol. 31 ›› Issue (12): 1739-1746.doi: 10.11820/dlkxjz.2012.12.021

• 生态环境 • 上一篇    下一篇

景观格局变化驱动力研究进展

吴健生, 王政, 张理卿, 宋静   

  1. 北京大学深圳研究生院城市规划与设计学院城市人居环境科学与技术重点实验室, 深圳518055
  • 收稿日期:2012-02-01 修回日期:2012-07-01 出版日期:2012-12-25 发布日期:2012-12-25
  • 通讯作者: 王政(1988-),主要从事景观生态与环境遥感研究。E-mail:wangzheng.pku@hotmail.com E-mail:wangzheng.pku@hotmail.com
  • 作者简介:吴健生(1965-),男,副教授,主要从事土地利用与景观生态学研究。E-mail:wujs@szpku.edu.cn
  • 基金资助:

    国家自然科学基金项目(41130534, 41001112)。

Research Progresses on Driving Forces of the Changes of Landscape Pattern

WU Jiansheng, WANG Zheng, ZHANG Liqing, SONG Jing   

  1. Key Laboratory for Environmental and Urban Sciences, School of Urban Planning and Design, Shenzhen Graduate School, Peking University, Shenzhen 518055, China
  • Received:2012-02-01 Revised:2012-07-01 Online:2012-12-25 Published:2012-12-25

摘要: 景观格局变化驱动力研究是理解人类活动与景观格局演化关系的基础。本文概述了驱动因子的分类, 分析了主导驱动因子的时间尺度效应、空间尺度效应和主题尺度效应, 并介绍了驱动因子的相互作用、驱动机制识别、驱动系统自适应等的研究进展。驱动力识别方法正经历从简单定性分析向定量、半定量分析转变的过程, 数据获取手段也随着遥感技术等的进步得到快速发展, 多学科手段综合是景观格局驱动力研究的必然趋势。但由于驱动力研究的问题导向型特征, 目前尚缺乏对某一类景观格局变化驱动力的归纳及跨时空、多尺度对比。对景观格局变化的跨界研究, 可以加深对制度、文化等驱动力的驱动机制的理解。

关键词: 尺度效应, 景观格局变化, 驱动力, 土地利用变化

Abstract: Research on driving forces of the changes of landscape pattern is a basis for understanding the relationship between human activities and evolution of landscape pattern. In recent years, a large number of case studies at home and abroad have done qualitative or quantitative analysis on the driving forces. This paper provides an overview of the categorization of driving factors, analyzes the effects of dominant driving factors in terms of time scale, spatial scale and landscape themes, and discusses research progresses (or lack thereof) on interactions of the driving factors, identification of the driving mechanisms, and adaptation and feedback of landscape systems to the driving factors. The methods of driving force identification have been going through the change from qualitative analysis to quantitative and semi-quantitative analysis, and sample collection methods are in fast-paced improvement, thanks to the progress on remote sensing technology. Multidisciplinary integration has become an inevitable trend in the research on driving forces of landscape patterns. With the characteristics of a problem-oriented landscape research, this field lacks cross-time, cross-space, multi-factor comparisons for a specific type of driving force. Thus, cross-board studies on the changes of landscape pattern would help with a better understanding of the mechanisms of the types of driving forces such as political systems and culture.

Key words: change of land cover, change of landscape pattern, driving forces, scale effect