Strategies for Green Space Management in Mountain Cities Based on the Habitat Suitability for Urban Birds Breeding

Xiongbin Zhu, Sucharita Srirangam () and TamilSalvi Mari
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Xiongbin Zhu: School of Civil Engineering and Planning, Liupanshui Normal University, Liupanshui 553004, China
Sucharita Srirangam: School of Architecture Building and Design, Taylor’s University, Subang Jaya 47500, Malaysia
TamilSalvi Mari: School of Architecture Building and Design, Taylor’s University, Subang Jaya 47500, Malaysia

Land, 2023, vol. 12, issue 7, 1-16

Abstract: The reproduction suitability of urban birds reflects the health status and service level of urban ecosystems. Therefore, studying the relationship between the nest density of urban birds and environmental factors has certain reference significance for guiding green space management. In this study, 67 green spaces of Liupanshui city in the Wumeng Mountain Area were selected as study sites. Through the statistics of the number of bird’s nests in the plots in 2020, a stepwise regression analysis was conducted on 10 environment-influencing factors. The results show that the nest density of birds in urban green space is not significantly correlated with the plot size, noise, light pollution, vegetation diversity, proportion of paved land, proportion of native plants, or distance from water body, but is significantly correlated with the canopy coverage of arbor, spatial openness, and distance from non-artificial environment to plot. The research identified the environmental factors affecting nest density, and frames a method to compare the density of bird’s nests in urban green space. Based on this, strategies for the construction and management of green space are put forward, so as to provide reference for ecological city construction and alleviate the correlation between the expansion of urban construction land and the deterioration of bird habitats.

Keywords: green space; urban birds; nest density; environmental factors (search for similar items in EconPapers)
JEL-codes: Q15 Q2 Q24 Q28 Q5 R14 R52 (search for similar items in EconPapers)
Date: 2023
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