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北京市房山区湿地景观格局研究     被引量:2

A study of Patterns of Wetland landscapes in Fangshan District of Beijing

文献类型:期刊文献

中文题名:北京市房山区湿地景观格局研究

英文题名:A study of Patterns of Wetland landscapes in Fangshan District of Beijing

作者:龚明昊[1,2] 文菀玉[2] 张伟[3] 赵乾龙[3] 王嘉晨[3] 李惠鑫[2] 刘刚[2] 梁国靖[4] 王宇航[2]

第一作者:龚明昊

机构:[1]西华师范大学生命科学院,四川南充637002;[2]中国林业科学研究院湿地研究所,湿地生态功能与恢复北京市重点实验室,北京100091;[3]北京市房山区园林绿化局,北京102401;[4]中林森旅控股有限公司,北京100129

年份:2020

卷号:16

期号:4

起止页码:41-44

中文期刊名:湿地科学与管理

外文期刊名:Wetland Science & Management

收录:CSTPCD;;国家哲学社会科学学术期刊数据库

基金:国家自然科学基金项目(41801098)。

语种:中文

中文关键词:湿地资源;景观格局;形态空间格局分析;

外文关键词:Wetland resource;landscape pattern;spatial Analysis of wetland shapes;

分类号:P901

摘要:以北京市房山区湿地为研究对象,基于湿地资源调查数据,采用景观指数形态空间分析方法定量分析湿地资源现状、景观格局及连通性特征。结果表明:北京市房山区湿地占全区面积的2.75%,天然湿地占全区湿地面积的61.62%;湿地最大斑块面积1230.71 hm^2,最小斑块面积0.12 hm^2,斑块间面积差异较大;全区湿地空间分布不均衡,主要分布在区域的东部及南部,湿地类斑块间连通性较低。研究发现房山区湿地资源存在总量低、类型简单、景观破碎、斑块间交流困难及空间分布不均衡等问题,景观指数与形态学空间分析方法为湿地景观格局研究提供了新思路。
The aim of the research is to understand landscape pattern in Fangshan District of Beijing,to identify its problems and solutions.Based on the survey data of wetland resources,we quantitatively analyzed the status,spatial pattern and connectivity of wetland resources in Fangshan district by using the landscape index and morphological spatial pattern analysis.We found that wetlands accounted for 2.75%of the total land area of Fangshan district,and natural wetlands accounted for 61.62%of the total area of all wetlands in the district.The maximum patch area of the wetland was 1230.71 hm^2,and the minimum patch area was 0.12 hm^2 with large difference among different patches.The spatial distribution of wetlands in the districtis uneven.Wetlands were mainly distributed in the east and south of the district.The connectivity among different patches was poor.This study not only reveals several problems in Fangshan district,namely,low quantity,simple type,fragmentation,low plaque connection,poor stability and uneven distribution,but also provides new ideas to study wetland landscape pattern by using landscape index and morphological spatial analysis.

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