应用生态学报2012，Vol.23Issue(8)：2077-2086,10.
传统景观格局指数在城市热岛效应评价中的适用性
Applicability of traditional landscape metrics in evaluating urban heat island effect
摘要
Abstract
By using 24 landscape metrics, this paper evaluated the urban heat island effect in parts of Beijing downtown area. QuickBird (QB) images were used to extra tthe landscape type information, and the thermal bands from Landsat Enhanced Thematic Mapper Plus (ETM+) images were used to extract the land surface temperature (LST) in four seasons of the same year. The 24 landscape pattern metrics were calculated at landscape and class levels in a fixed window with 120 m× 120 m in size, with the applicability of these traditional landscape metrics in evaluating the urban heat island effect examined. Among the 24 landscape metrics, only the percentage composition of landscape (PLAND) , patch density (PD) , largest patch index ( LPI) , coefficient of Euclidean nearest-neighbor distance variance (ENN_CV), and landscape division index (DIVISION) at landscape level were significantly correlated with the LST in March, May, and November, and the PLAND, LPI, DIVISION, percentage of like adjacencies, and interspersion and juxtaposition index at class level showed significant correlations with the LST in March, May, July, and December, especially in July. Some metrics such as PD, edge density, dumpiness index, patch cohesion index, effective mesh size, splitting index, aggregation index, and normalized landscape shape index showed varying correlations with the LST at different class levels. The traditional landscape metrics could not be appropriate in evaluating the effects of river on LST, while some of the metrics could be useful in characterizing urban LST and analyzing the urban heat island effect, but screening and examining should be made on the metrics.关键词
景观格局指数/城市热岛/景观格局/地表温度/北京Key words
landscape pattern metrics/ urban heat island/ landscape pattern/ land surface temperature/ Beijing分类
天文与地球科学引用本文复制引用
陈爱莲,孙然好,陈利顶..传统景观格局指数在城市热岛效应评价中的适用性[J].应用生态学报,2012,23(8):2077-2086,10.基金项目
国家自然科学基金项目(40925003)、国家水体污染控制与治理科技重大专项(2012ZX07501002)和城市与区域生态国家重点实验室自主项目(SKLURE2008-1-02)资助. （40925003）
