基于最佳分析粒度的南宁市景观格局时空变化研究
Study on Spatial and Temporal Changes in Landscape Patterns of Nanning City Based on Optimal Analysis Granularity
胡金林 1梁庆璇 2廖超明 3吴春阳 4杨江波5
作者信息
- 1. 江苏省测绘地理信息职业技能鉴定指导中心,江苏 南京 210013
- 2. 广西壮族自治区自然资源遥感院,广西 南宁 530200
- 3. 南宁师范大学自然资源与测绘学院,广西 南宁 530001
- 4. 广西博航浩云自然信息科技有限公司,广西 南宁 530200
- 5. 武汉市勘察设计有限公司,湖北 武汉 430022
- 折叠
摘要
为了确定最佳分析空间粒度,了解南宁市区域景观格局的动态变化,根据南宁市 1990、2000、2010 和 2020 年土地利用数据,采用拐点识别法和面积损失评价法定性定量选取最佳粒度,并基于最佳粒度从类型水平和景观水平这 2 个层面筛选景观格局指数,分析 1990-2020 年南宁市景观格局的时空变化特征.结果表明:(1)不同景观指数在不同空间尺度下的效应有所差别,南宁市景观格局分析的最佳粒度为 60 m;(2)类型水平上,30 a间建设用地的破碎化程度较高,耕地呈细碎化分布且形状不规则,林地作为主导景观,聚集度最高,草地、水域和未利用地呈现不同程度的变化;(3)景观水平上,30 a间南宁市整体景观破碎化程度增加,各景观朝着不规则的、复杂化的方向发展.
Abstract
This study aims to determine the optimal spatial granularity for analysis of the dynamic changes in the regional landscape patterns of Nanning City,China.Based on the land use data of Nanning in 1990,2000,2010,and 2020,the optimal granularity was selected through qualitative and quantitative assessments using the inflection point identification method and the area loss evaluation method.Based on the optimal granularity,the landscape pattern indices were selected at the type and landscape levels.The temporal and spatial variations in the landscape patterns of Nanning were analyzed over the period from 1990 to 2020.The following results were obtained.(1)The impact of various landscape indices varied across different spatial scales,with 60 m identified as the optimal granularity for analyzing the landscape patterns of Nanning City.(2)At the type level,over the 30-year period,construction lands exhibited relatively high fragmentation;cultivated lands were distributed in small fragments and irregularly shaped;woodlands,as the predominant landscape type,demonstrated the highest degree of aggregation;grasslands,watersheds,and unused lands underwent varying degrees of change.(3)At the landscape level,the overall fragmentation of landscape in Nanning intensified over the 30-year period,with the landscapes evolving towards increased irregularity and complexity.
关键词
最佳分析粒度/景观格局/景观指数/动态变化/南宁Key words
optimal analysis granularity/landscape pattern/landscape index/dynamic change/Nanning引用本文复制引用
出版年
2024
国家科技期刊平台
NSTL
维普
万方数据