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作者

Zezhou Hao;Cheng Wang;Zhenkai Sun;Cecil Konijnendijk van den Bosch;Dexian Zhao;Baoqiang Sun;Xinhui Xu;Qi Bian;Zitong Bai;Kaiyue Wei;Yilin Zhao;Nancai Pei

来源

URBAN FORESTRY & URBAN GREENING,Vol.57,Issue1,Article 126822

语言

英文

关键字

Biodiversity assessment;Bird activity;Human interference;Soundscape ecology;Urban forests

作者单位

Research Institute of Forestry, Chinese Academy of Forestry/ Key Laboratory of Tree Breeding and Cultivation, National Forestry and Grassland Administration/ Urban Forest Research Center, National Forestry and Grassland Administration, Beijing, 100091, China;Department of Forest Resources Management, University of British Columbia, Vancouver, V6T 1Z4, British Columbia, Canada;Research Institute of Tropical Forestry, Chinese Academy of Forestry, Guangzhou, 510520, China;Research Institute of Forestry, Chinese Academy of Forestry/ Key Laboratory of Tree Breeding and Cultivation, National Forestry and Grassland Administration/ Urban Forest Research Center, National Forestry and Grassland Administration, Beijing, 100091, China;Department of Forest Resources Management, University of British Columbia, Vancouver, V6T 1Z4, British Columbia, Canada;Research Institute of Tropical Forestry, Chinese Academy of Forestry, Guangzhou, 510520, China

摘要

Soundscape mapping provides a unique perspective to explain the complicated spatial-temporal change of bird activities in urban forests. Most studies of soundscapes have used multi-point distribution to record sounds, which is challenging for explaining complex interferences factors in urban areas. In this study, we used soundscape mapping to explore the habitat selection of bird communities in the context of spatial-temporal structural changes. We selected the transition area from city to forest in Shenzhen, China, as the study area, set up 30 recording points which arranged in grid patterns (5 × 6), and used synchronic recording methodology to collect sounds. Aural species identification, power spectral density (PSD), and normalized-difference sound index (NDSI) were used to quantify sounds. Passerine birds (92.11 %) were found to comprise the first acoustic communities. Changes in bird species populations among seasons were noted, with spring having the most abundant bird species number (n = 59) and the most abundant ecoacoustic events. Bird communities with different frequency band clusters having different preferences for vegetation characteristics were detected. A significant two-way interaction between the accessibility of recording points and seasons on bird activities was found in this study. Urban forest spatial structure had a great effect on bird activities, and specifically through the shape of forest vertical structure complexity and forest edge effect. Our study shows the broader application potential of soundscape mapping in urban forest ecosystem research.