欢迎访问《应用生态学报》官方网站,今天是 分享到:

应用生态学报 ›› 2016, Vol. 27 ›› Issue (12): 3787-3796.doi: 10.13287/j.1001-9332.201612.031

• • 上一篇    下一篇

土地利用变化影响下洞庭湖地区生态系统服务价值的时空演变

李涛1,2, 甘德欣1, 杨知建1*, 王宽2, 齐增湘2, 李晖2, 陈希1,3   

  1. 1湖南农业大学生物科技学院, 长沙 410128;
    2南华大学设计艺术学院, 湖南衡阳 421001;
    3郴州市生物研究所, 湖南郴州 421001
  • 收稿日期:2016-05-31 出版日期:2016-12-18 发布日期:2016-12-18
  • 通讯作者: * E-mail: ecotope@163.com
  • 作者简介:李 涛,男,1984年生,博士研究生,讲师.主要从事环境生态及景观生态学研究. E-mail: 413362361@qq.com
  • 基金资助:
    本文由湖南省科技计划项目(2015SK2003)、湖南省教育厅科研项目(16C1410)和衡阳市社会科学项目(2015D040)资助

Spatial-temporal evolvement of ecosystem service value of Dongting Lake area influenced by changes of land use

LI Tao1,2, GAN De-xin1, YANG Zhi-jian1*, WANG Kuan2, QI Zeng-xiang2, LI Hui2, CHEN Xi1,3   

  1. 1College of Biological Science and Technology, Hunan Agricultural University, Changsha 410128, China;
    2College of Design and Art, University of South China, Hengyang 421001, Hunan, China;
    3Biological Research Institute of Chenzhou, Chenzhou 423000, Hunan, China
  • Received:2016-05-31 Online:2016-12-18 Published:2016-12-18
  • Contact: * E-mail: ecotope@163.com
  • Supported by:
    This work was supported by the Science & Technology Program of Hunan Province (2015SK2003), the Education Department Project of Hunan Province (16C1410) andthe Social Science Program of Hengyang (2015D040) .

摘要: 对洞庭湖地区多年遥感影像进行解译,结合其经济发展统计数据,在地理信息系统技术支持下,估算各土地利用类型的生态价值系数,并运用空间自相关、高地聚类及热点分析等空间地统计分析方法,探究洞庭湖地区生态系统服务价值(ESV)的时空变化特征.结果表明: 2000—2013年间,洞庭湖地区的ESV小幅上升,由3868.39亿元上升至3886.62亿元,湿地面积的增加是ESV上升的主要原因;洞庭湖地区的ESV高值区与低值区相互溶解渗透,次高值区对高值及低值区呈包围态势;洞庭湖地区的ESV及其动态演化表现出明显的空间自相关与高低值聚集现象,但其自相关与聚集程度趋于减弱;研究期间洞庭湖地区的ESV热点区重心主要向西稍偏北方向移动,其轨迹大体上呈 “S”型态势,迁移速度缓慢但具有明显的阶段性,经历了 “剧烈—缓慢—剧烈”的变化阶段.

Abstract: With the technology of geographic information system (GIS), the ecosystem service va-lue (ESV) coefficient of different types of land use in Dongting Lake area was estimated in this paper by interpreting the remote-sensing image for years and combining its economic development statistics. Meanwhile, the temporal-spatial evolvement characteristics of the ESV were investigated by employing the methods of spatial statistics analysis such as spatial autocorrelation, highland clustering analysis and hotspot analysis. The results showed that the ESV of Dongting Lake area increased slightly during 2000-2013, from 3868.39 billion yuan to 3886.62 billion yuan due to the increase of wetland in the area. The areas with high ESV and low ESV were infiltrated into each other, while the areas with second high ESV embraced those areas with high and low ESV. The characteristics of ESV and its dynamic evolvement in Dongting Lake area were obviously of spatial autocorrelation and high and low value clustering, but the trend was weakened. The focus of ESV hotspot of Dongting Lake area moved to northwest slightly with a “S” track in a obviously phased manner of “quick-slow-quick”.