The spatiotemporal distribution patterns and impact factors of bird species richness: A case study of urban built-up areas in Beijing, China

IF 7 2区 环境科学与生态学 Q1 ENVIRONMENTAL SCIENCES
Zheran Zhai , Siyao Liu , Zimeng Li , Ruijie Ma , Xiaoyu Ge , Haidong Feng , Yang Shi , Chen Gu
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Abstract

This study aims to investigate the distribution patterns of bird species in urban built-up areas and their impact factors from multiple dimensions, including spatiotemporal distribution, environmental changes, and anthropogenic disturbances, as well as overall distribution and local hotspots. Leveraging geographic distribution data of 383 bird species from 70 families and 21 orders, the study recorded dynamic changes in bird distribution within urban built-up areas characterized by highly heterogeneous core areas and suburban areas. It examined species distribution across different seasons and land cover types, evaluated population fluctuations based on migratory behaviors, and assessed the relative abundance of bird families and species in hotspot areas. Additionally, this study employed three tree-based machine learning algorithms—Decision Tree (DT), Random Forest (RF), and Extreme Gradient Boosting (XGBoost)—to investigate the influence of environmental factors on bird species distribution within urban built-up areas. The findings showed that, temporally, the number of observed bird species in the study area peaked in May and September, while the lowest numbers of species (54.83 %) and individuals (5.45 %) were recorded during the high-temperature period from June to August. Spatially, (1) woodlands, including stable mature forests, unstable juvenile forests, and sparse vegetation, recorded the highest frequencies of bird observations (2,053 times), bird species (369 species), and bird individuals (38,623 individuals); (2) comprehensive parks, where bird species demonstrated higher adaptability to anthropogenic disturbances, experienced a more significant decline in species richness compared to country parks; and (3) the number of bird species in hotspot areas located in the core areas, which developed earlier, has decreased annually, while the number of species in suburban areas, which developed later, has increased annually. In terms of impact factors, water area (WA), point of interest kernel density (DPOI), relative humidity (RH), green space area (GSA), and nighttime light pollution (NL) were identified as the five most important environmental factors affecting bird species richness. These results suggest that although birds exhibit some adaptability to environmental changes and anthropogenic disturbances, species distribution remains significantly impacted. This research aims to provide a planning framework for future urban development that promotes biodiversity and adaptability, thereby bolstering the resilience of urban ecosystems.
鸟类物种丰富度的时空分布模式及影响因素:中国北京城市建成区案例研究
本研究旨在从时空分布、环境变化、人为干扰、整体分布和局部热点等多个维度,探讨城市建成区鸟类物种的分布格局及其影响因素。该研究利用 70 科 21 目 383 种鸟类的地理分布数据,记录了以高度异质性的核心区和郊区为特征的城市建成区内鸟类分布的动态变化。该研究考察了不同季节和土地覆被类型下的物种分布,评估了基于迁徙行为的种群波动,并评估了热点地区鸟科和鸟种的相对丰度。此外,该研究还采用了三种基于树的机器学习算法--决策树(DT)、随机森林(RF)和极端梯度提升(XGBoost)--来研究环境因素对城市建成区鸟类物种分布的影响。研究结果表明,从时间上看,研究区域内观察到的鸟类物种数量在 5 月和 9 月达到高峰,而物种数量(54.83%)和个体数量(5.45%)在 6 月至 8 月的高温期最低。从空间上看,(1)林地,包括稳定的成熟林、不稳定的幼林和稀疏的植被,鸟类观察次数(2 053 次)、鸟类种类(369 种)和鸟类个体(38 623 个)最高;(2) 与郊野公园相比,鸟类物种对人为干扰的适应性更强的综合公园的物种丰富度下降更为显著;(3) 发展较早的核心区热点地区鸟类物种数量逐年减少,而发展较晚的郊区鸟类物种数量逐年增加。从影响因素来看,水域面积(WA)、兴趣点内核密度(DPOI)、相对湿度(RH)、绿地面积(GSA)和夜间光污染(NL)被认为是影响鸟类物种丰富度最重要的五个环境因素。这些结果表明,尽管鸟类对环境变化和人为干扰表现出一定的适应能力,但物种分布仍然受到严重影响。这项研究旨在为未来的城市发展提供一个规划框架,以促进生物多样性和适应性,从而增强城市生态系统的恢复能力。
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来源期刊
Ecological Indicators
Ecological Indicators 环境科学-环境科学
CiteScore
11.80
自引率
8.70%
发文量
1163
审稿时长
78 days
期刊介绍: The ultimate aim of Ecological Indicators is to integrate the monitoring and assessment of ecological and environmental indicators with management practices. The journal provides a forum for the discussion of the applied scientific development and review of traditional indicator approaches as well as for theoretical, modelling and quantitative applications such as index development. Research into the following areas will be published. • All aspects of ecological and environmental indicators and indices. • New indicators, and new approaches and methods for indicator development, testing and use. • Development and modelling of indices, e.g. application of indicator suites across multiple scales and resources. • Analysis and research of resource, system- and scale-specific indicators. • Methods for integration of social and other valuation metrics for the production of scientifically rigorous and politically-relevant assessments using indicator-based monitoring and assessment programs. • How research indicators can be transformed into direct application for management purposes. • Broader assessment objectives and methods, e.g. biodiversity, biological integrity, and sustainability, through the use of indicators. • Resource-specific indicators such as landscape, agroecosystems, forests, wetlands, etc.
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