Rapid assessment checklist for green roof ecosystem services in Bangkok,Thailand
作者机构：Biological Sciences ProgramFaculty of ScienceChulalongkorn UniversityBangkok 10330Thailand Department of BiologyFaculty of ScienceChulalongkorn UniversityBangkok 10330Thailand Graduate School of EducationYonsei UniversitySeoul 03722Republic of Korea Department of Landscape Architecture and Rural System EngineeringSeoul National UniversitySeoul 08826Republic of Korea
出 版 物：《Ecological Processes》 (生态过程（英文）)
年 卷 期：2020年第9卷第1期
页 面：205-221页
核心收录：
学科分类：0710[理学-生物学] 0830[工学-环境科学与工程（可授工学、理学、农学学位）] 07[理学] 09[农学] 0815[工学-水利工程] 0903[农学-农业资源与环境] 0713[理学-生态学]
基 金：This research was supported by the 90th Anniversary of Chulalongkorn University,Rachadapisek Sompote Fund(GCUGR1125603028D No.25) RP was financially supported by the Development and Promotion of Science and Technology Talents Scholarship
主 题：Vegetated roof Evaluation Composite indicator Urban ecosystem Ecosystem management
摘 要：Background:A green roof is a man-made ecosystem created when a rooftop is covered with substrate and *** green roof ecosystems(GREs)are able to provide ecosystem services,there is currently no assessment tool available to specifically evaluate ***,the aim of this study was to develop a rapid assessment checklist(RAC)to assess GRE services(GRES),which was developed and tested on 10 green roofs in Bangkok,***:The RAC consisted of 46 proxy indicators(33 qualitative and 13 quantitative indicators)encompassing various aspects of *** GRES values or scores varied according to structural differences in the green *** average score(from a maximum of 100)of total ecosystem services was 61±7,which could be inferred as a good performance in ecosystem service *** highest scores were obtained from the regulating services at 68±*** lowest average score was 53±11 from the provisioning ***:The RAC was able to evaluate the levels of GRES provided by the selected green roofs,enabling the meaningful comparison of their potential capability to provide ***,this RAC could be an innovative tool for evaluation of four categories of GRES.
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