海洋学研究 ›› 2014, Vol. 32 ›› Issue (3): 58-64.DOI: 10.3969/j.issn.1001-909X.2014.03.008

• 研究论文 • 上一篇    下一篇

基于遥感数据的慈溪海涂围垦区景观格局分析

郑文兵1, 郑忠明*1, 李加林2, 乔富珍1   

  1. 1.宁波大学 海洋学院,浙江 宁波 315211;
    2.宁波大学 建筑工程与环境学院,浙江 宁波 315211
  • 收稿日期:2014-05-15 修回日期:2014-06-13 出版日期:2014-09-15 发布日期:2022-11-25
  • 通讯作者: *郑忠明(1965-),男,教授,主要从事水域生态学方面的研究。E-mail: zhengzhongming@nbu.edu.cn
  • 作者简介:郑文兵(1987-),男,江西进贤县人,主要从事海涂围垦区景观生态学方面的研究。E-mail: 809313608@qq.com
  • 基金资助:
    国家海洋公益性行业科研专项经费项目资助(201205005)

Landscape pattern changes of coastal reclamation region in Cixi on the basis of remote sensing images

ZHENG Wen-bing1, ZHENG Zhong-ming*1, LI Jia-lin2, QIAO Fu-zhen1   

  1. 1. School of Marine Sciences, Ningbo University, Ningbo 315211, China;
    2. Faculty of Architectural, Civil Engineering and Environment, Ningbo University, Ningbo 315211, China
  • Received:2014-05-15 Revised:2014-06-13 Online:2014-09-15 Published:2022-11-25

摘要: 选用慈溪2000,2006和2013年3期遥感影像,结合景观格局指数,对慈溪市围垦区 13 a间景观格局动态变化过程进行了相关研究。结果表明:(1)慈溪围垦区各类景观在时间尺度上具有显著变化;(2)13 a间围垦区面积增加,其中最明显的是水产养殖塘景观增加;(3)围垦区内部景观水平之间的相互转化较多,突出表现为水体、林地、草地和裸地向建筑与养殖塘等的转化;(4)13 a间研究区景观形状变得复杂化,整体景观多样性指数、均匀度指数都有所降低,景观破碎化程度增大。

关键词: 围垦区, 景观格局, 景观指数, 遥感

Abstract: Based on three TM images data of Cixi in the 2000, 2006 and 2013, landscape dynamic processes of the reclamation of Cixi during the past 13 years were analyzed. The results showed that: (1)There were significant differences in series time scale of landscape in reclamation region of Cixi. (2)The area of landscape in reclamation region tended to increase during the past 13 years, the most obvious change of which was aquaculture pond landscape. (3)The area within the inner landscape dynamically transformed into each other frequently, evidently showed that transformation of water, woodland , lawn and bare ground to architecture and aquacultural ponds. (4)Landscape shape became more complex during the past 13 years. Indices of landscape diversity and evenness decreased, suggesting that landscape fragmentation was aggravated.

Key words: reclamation region, landscape, landscape index, remote sensing

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