Drivers of avian species richness and community structure in urban courtyard gardens

Q2 Social Sciences
Alessandro Pirzio Biroli, B. V. Doren, A. Grabowska-Zhang
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引用次数: 8

Abstract

Increasing global urbanisation has steered research towards understanding biodiversity in urban areas. Old city spaces throughout Europe have a proliferation of urban court gardens, which can create a mosaic of habitat pockets in an urban area. This article examines the patterns and drivers of avian species richness and community structure in 20 gardens of the constituent colleges of the University of Oxford. We conducted morning surveys across 7 weeks in May and June 2017 and used an information-theoretic approach and model averaging to identify important habitat predictors of species richness. We also studied community structure with Sorensen indices and non-metric multi-dimensional analysis. A total of 43 avian species were observed across all sites. Our sites generally differed in their avian assemblages, with greater species turnover than nestedness between sites. Site area was the strongest predictor of site species richness and surrounding habitat composition was the dominant driver of community structure. Thus, the largest gardens were the most species rich, but species composition among gardens differed based on the habitats in which they were embedded. We support using island biogeography theory to understand the avian species assemblages of urban ecosystems and stress the suitability of our study sites for future urban ecosystem research and generating wildlife awareness.
城市庭院花园鸟类物种丰富度和群落结构的驱动因素
日益增长的全球城市化使研究转向了解城市地区的生物多样性。整个欧洲的老城空间都有大量的城市庭院花园,这些花园可以在城市地区形成马赛克般的栖息地。本文研究了牛津大学组成学院20个花园中鸟类物种丰富度和群落结构的模式和驱动因素。我们在早上对7 在2017年5月和6月的几周内,并使用信息论方法和模型平均来确定物种丰富度的重要栖息地预测因子。我们还用索伦森指数和非度量多维分析研究了群落结构。在所有地点共观察到43种鸟类。我们的地点通常在鸟类组合上有所不同,物种更替比地点之间的嵌套更大。站点面积是站点物种丰富度的最强预测因子,周围栖息地组成是群落结构的主要驱动因素。因此,最大的花园是物种最丰富的,但花园中的物种组成因其所在的栖息地而异。我们支持使用岛屿生物地理学理论来了解城市生态系统的鸟类物种组合,并强调我们的研究地点适合未来的城市生态系统研究和提高野生动物意识。
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来源期刊
Journal of Urban Ecology
Journal of Urban Ecology Social Sciences-Urban Studies
CiteScore
4.50
自引率
0.00%
发文量
14
审稿时长
15 weeks
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