生态与农村环境学报 ›› 2022, Vol. 38 ›› Issue (5): 545-555.doi: 10.19741/j.issn.1673-4831.2021.0570

• 区域环境与发展 • 上一篇    下一篇

基于最佳分析粒度的广西北部湾经济区景观格局动态变化分析

周海菊1, 刘小英2,3, 胡靓达1, 喻素芳1   

  1. 1. 广西大学林学院, 广西 南宁 530001;
    2. 南宁师范大学地理科学与规划学院, 广西 南宁 530001;
    3. 中南林业科技大学生命科学与技术学院, 湖南 长沙 410004
  • 收稿日期:2021-09-18 出版日期:2022-05-25 发布日期:2022-05-25
  • 通讯作者: 喻素芳,E-mail:yusufang@gxu.edu.cn E-mail:yusufang@gxu.edu.cn
  • 作者简介:周海菊(1995-),女,江苏南通人,主要研究方向为森林资源监测与信息化管理。E-mail:15250987302@163.com
  • 基金资助:
    广西重大研究课题(KTZB-2019-09);世界自然基金会项目(10000759)

Analysis on Dynamic Changes of Landscape Structure in Guangxi Gulf of Tonkin Economic Zone Based on Optimum Granularity

ZHOU Hai-ju1, LIU Xiao-ying2,3, HU Jing-da1, YU Su-fang1   

  1. 1. Forestry College, Guangxi University, Nanning 530001, China;
    2. School of Geography and Planning, Nanning Normal University, Nanning 530001, China;
    3. College of Life Science and Technology, Central South University of Forestry and Technology, Changsha 410004, China
  • Received:2021-09-18 Online:2022-05-25 Published:2022-05-25

摘要: 景观格局-动态-过程是景观生态学研究的核心内容,科学分析沿海地区景观格局动态变化对区域发展规划具有重要意义。以广西北部湾经济区2000、2010和2020年3期土地利用类型遥感监测产品为数据源,采用景观格局指数法和变异系数从景观水平和类型水平角度量化景观指数在30~1 000 m范围的粒度效应,构建信息熵模型确定最优粒度,并在此基础上,采用景观指数和转移矩阵分析2000-2020年广西北部湾经济区景观结构动态变化特征。结果表明:(1)景观水平和类型水平上景观指数对粒度变化均有不同程度的敏感性,不同景观类型的粒度效应略有区别,研究区景观格局分析最佳粒度为60 m;(2)林地是研究区主要景观类型,建设用地是增长最快的景观类型,人类活动使林地、农用地和建设用地格局发生剧烈变化;(3)广西北部湾经济区斑块密度增加,景观呈破碎化趋势,景观格局逐渐复杂化,空间异质性增强。在社会、经济、旅游等快速发展的背景下,广西北部湾经济区景观格局呈加速变化趋势,因此,在进行国土空间规划时需从区域角度出发,合理调整景观结构,加强自然资源保护,实现经济和生态可持续发展。

关键词: 粒度效应, 景观格局, 景观指数, 转移矩阵, 动态变化, 广西北部湾经济区

Abstract: Landscape patterns, dynamics, and processes are at the core of landscape ecology. The scientific analysis of dynamic changes in coastal landscape patterns plays an important role in regional development planning. This paper used land-use data from remote sensing products for the Guangxi Gulf of Tonkin Economic Zone (GGTEZ) from 2000, 2010, and 2020 as data sources. Then landscape pattern index and coefficient of variation were used to quantify the grain size effect of the landscape index at 30-1 000 m at the landscape level and class level. Information entropy models were elaborated to determine the optimal granularity. Further, the landscape index and the transfer matrix were used to analyze the dynamic changes in landscape structure in the GGTEZ between 2000, 2010, and 2020. The results show that:(1) At the landscape level and class level, landscape indices exhibited variable degrees of sensitivity to different grain sizes. The grain size effect of different landscape types was slightly different, and the optimum grain size for landscape pattern analysis was 60 m. (2) Forest was the main landscape type in the study area, and construction land was the fastest growing landscape type. Forest, agricultural land, and construction land areas changed dramatically due to human activities. (3) In the GGTEZ, the patch density increased, the landscape became fragmented and more complex, and the spatial heterogeneity increased. In the context of rapid social, economic, and tourist industry development, the landscape patterns of the GGTEZ changed at an accelerated pace. Therefore, when planning territorial space it is necessary to analyze the landscape structure from a regional perspective to adjust landscape structure, to strengthen the protection of natural resources, so as to achieve sustainable economic and ecological development.

Key words: granularity effect, landscape pattern, landscape index, transfer matrix, dynamic change, Guangxi Gulf of Tonkin Economic Zone

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