Advancing climate resilience through a geo-design framework:strengthening urban and community forestry for sustainable environmental design

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外文标题：Advancing climate resilience through a geo-design framework:strengthening urban and community forestry for sustainable environmental design

外文摘要：Urban and community forestry is a specialized discipline focused on the meticulous management of trees and forests within urban,suburban,and town environments.This field often entails extensive civic involvement and col-laborative partnerships with institutions.Its overarching objectives span a spectrum from preserving water quality,habitat,and biodiversity to mitigating the Urban Heat Island(UHI)effect.The UHI phenomenon,characterized by nota-bly higher temperatures in urban areas compared to rural counterparts due to heat absorption by urban infrastructure and limited urban forest coverage,serves as a focal point in this study.The study focuses on developing a methodo-logical framework that integrates Geographically Weighted Regression(GWR),Random Forest(RF),and Suitability Analysis to assess the Urban Heat Island(UHI)effect across different urban zones,aiming to identify areas with varying levels of UHI impact.The framework is designed to assist urban planners and designers in understanding the spatial distribution of UHI and identifying areas where urban for-estry initiatives can be strategically implemented to mitigate its effect.Conducted in various London areas,the research provides a comprehensive analysis of the intricate relation-ship between urban and community forestry and UHI.By mapping the spatial variability of UHI,the framework offers a novel approach to enhancing urban environmental design and advancing urban forestry studies.The study's findings are expected to provide valuable insights for urban planners and policymakers,aiding in creating healthier and more liv-able urban environments through informed decision-making in urban forestry management.

外文关键词：

Urban and community forestryUrban heat islandGeographically weighted regressionRandom forest

作者：

Xiwei Shen、Mingze Chen、Xiaowei Li、Shu Gao、Qiuyi Yang、Yuhan Wen、Qingqing Sun、Lei Yu

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作者单位：

Department of Landscape Architecture,University of Nevada,Las Vegas,NV 89154,USA

Department of Forest Resources Management,Faculty of Forestry,University of British Columbia,Vancouver,BC V6T 1Z4,Canada

School of Planning,Design and Construction,Michigan Stat University,East Lansing,MI 48823,USA

Coastal Ecosystem Design Studio,Louisiana State University,Baton Rouge,LA 70802,USA

School of Environment and Sustainability,University of Michigan,Ann Arbor,MI 48109,USA

Department of Sustainable Technology and Built Environment,Appalachian State University,Boone,NC 28608,USA

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关键词：

Urban and community forestry Urban heat island Geographically weighted regression Random forest

出版年：

2024

DOI：

10.1007/s11676-024-01772-0

林业研究(英文版)

东北林业大学,中国生态学学会

林业研究(英文版)

CSTPCDEI

影响因子：0.365

ISSN：1007-662X

年,卷(期)：2024.35(6)