文献类型：期刊文献

英文题名：Spatial grain size effects of landscape metrics in different gradients of coastal areas

作者：Zhang, Yingjia Han, Huiqing Liu, Yue

第一作者：张英佳

通信作者：Han, HQ[1]

机构：[1]Guizhou Inst Technol, Sch Architecture & Urban Planning, Guiyang 550003, Peoples R China

第一机构：贵州理工学院

通信机构：corresponding author), Guizhou Inst Technol, Sch Architecture & Urban Planning, Guiyang 550003, Peoples R China.|贵州理工学院;

年份：0

外文期刊名：TROPICAL ECOLOGY

收录：;WOS:【SCI-EXPANDED(收录号:WOS:000886814600001)】；

基金：This work has been supported by grants from the Science and Technology Foundation of Guizhou Province ([2020]1Y152) and Natural Science Research Project of Education Department of Guizhou Province (KY[2021]075).

语种：英文

外文关键词：Change characteristic; Coastal area; Distance gradients; Grain size effect; Landscape metrics

摘要：As an essential object of regional development and utilization, the coastal area was affected by the increasing human activities, resulting in a profound impact on the coastal landscape. However, how landscape metrics respond to increasing spatial grain size in coastal areas remains unclear. Therefore, four gradients are divided according to the distance from the coastline, and 16 landscape metrics are introduced in this study. The spatial grain size effects of multiple landscape metrics in different gradients of coastal areas were analyzed using the methods of change trend analysis, variation coefficient, and Fragstats model. It was revealed that apart from the diversity metrics, the responses of the density metrics, area and edge metrics, shape metrics, and distribution metrics to increasing grain size were highlighted in coastal areas. There were significant differences in spatial grain size effects of landscape metrics in different gradients of coastal areas. The sensitivity of most landscape metrics to increasing grain size in gradient I the (region near the coastline) was evidently higher than that of other gradients (regions far away from the coastline). Furthermore, the composition, proportion, and distribution of landscapes in different gradients of coastal areas under the influence of human activities are crucial factors influencing the grain size effects of landscape metrics.