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基于斑块的东寨港红树林湿地景观格局变化及其驱动力

黄星1,辛琨2,李秀珍1**,王薛平3,任璘婧1,李希之1,闫中正1   

  1. (1华东师范大学河口海岸学国家重点实验室, 上海 200062; 2海南师范大学生命科学学院, 海口 571158; 3华东师范大学资源与环境科学学院, 上海 200062)
  • 出版日期:2015-05-18 发布日期:2015-05-18

Landscape pattern change of Dongzhai Harbour mangrove, South China analyzed with a patch-based method and its driving forces.

HUANG Xing1, XIN Kun2, LI Xiu-zhen1, WANG Xue-ping3, REN Lin-jing1, LI Xi-zhi1, YAN Zhong-zheng1   

  1. (1State Key Laboratory of Estuarine and Coastal Research, East China Normal University, Shanghai 200062, China; 2College of Life Science, Hainan Normal University, Haikou 571158, China; 3College of Resources and Environmental Science, East China Normal University, Shanghai 200062, China)
  • Online:2015-05-18 Published:2015-05-18

摘要: 在解译1988、1998及2009年3期遥感影像基础上,运用叠加分析和基于斑块的红树林空间演变机理分析方法,分析了1988—2009年间东寨港红树林湿地景观格局变化及其驱动力差异.结果表明: 1988、1998及2009年,研究区红树林总面积分别为1809.4、1738.7和1608.2 hm2,整体呈递减趋势,且破碎化程度加剧.景观类型主要表现为红树林、农用地、有林地等向建设用地、养殖塘用地转化.分别利用累计计数、按百分比计数、按主要途径计数3种方法的统计结果显示,导致东寨港红树林斑块数量变化的驱动力主要为自然因素,作用力百分比分别为58.6%、72.2%、72.1%,而导致斑块面积变化的驱动力主要为人为因素,作用力百分比相应为70.4%、70.3%、76.4%.

Abstract:

According to the interpreted results of three satellite images of Dongzhai Harbour obtained in 1988, 1998 and 2009, the changes of landscape pattern and the differences of its driving forces of mangrove forest in Dongzhai Harbour were analyzed with a patchbased method on spatial distribution dynamics. The results showed that the areas of mangrove forest in 1988, 1998 and 2009 were 1809.4, 1738.7 and 1608.2 hm2 respectively, which presented a trend of decrease with enhanced degree of landscape fragmentation. The transformations among different landscape types indicated that the mangrove, agricultural land and forest land were mainly changed into builtup land and aquaculture pond. The statistical results obtained from three different methods, i.e., accumulative counting, percentage counting and main transformation route counting, showed that natural factors were the main reason for the changes of patch number, responsible for 58.6%, 72.2% and 72.1% of patch number change, respectively, while the percentages of patch area change induced by human activities were 70.4%, 70.3% and 76.4%, respectively, indicating that human activities were the primary factors of the change of patch areas.