Perceptions and Needs of Residents for Urban Forests:A Questionnaire Survey from 18 Provinces in China
Urban forests are closely associated with people.Revealing residents'utilizations and perceptions of urban forests are significant for the establishment and optimization of urban forests.Focusing on the 18 provinces/municipalities east to the Hu Line,the study conducts a public utilization/perception survey on urban forests,with 7187 valid samples after cleaning and screening to analyze the use mode,benefit perception and landscape preferences of Chinese residents for urban forests.This research findings indicate:1)90% of residents in China utilize urban forests,with suburban urban forests being the type most frequently used,while 10% keep away from urban forests due to time and distance;2)Residents in China attribute higher importance to the regulating services and cultural services of urban forests comparing to provisioning services,in which air quality improvement is considered the most significant positive benefit,while they have relatively low perception over the negative impacts of urban forests;3)Spatial variations exist in the perceived importance of the positive benefits of urban forests,which shows that provisioning services are perceived most important in the South China,while the importance of regulating and cultural services is varyingly perceived within the East China,North China,and South China,and there is however no regional difference in the perceived importance of the negative impacts of urban forests;and 4)Overall,residents in China find predominantly artificial urban forest landscapes most attractive and ecologically beneficial,while the males,those with bachelor's degrees or higher,and higher-income groups believe naturalistic landscapes are more appealing and beneficial.Based on these findings,strategies are proposed to enhance the establishment of peri-urban forest and improve urban service and landscape quality.
use of urban foresturban forest ecosystem servicelandscape preferencegroup differenceregional variation
万方数据
