【摘要】 动物群落是构成城市绿地生态系统的关键要素,声景作为野生动物重要的生态信息,掌握其时空变化及其影响因素,对于指导城市绿地景观设计与生物多样性保护具有重要意义。本文以Web of Science数据库的核心合集2005–2022年收录的67篇研究文献为对象,综合梳理与分析了城市绿地动物声景的时空模式及其驱动因素。城市绿地动物声景在空间上表现出环境空间梯度和植被空间结构的差异,动物声音多样性随海拔、纬度、城市化程度的降低以及植被类型和高度的增加呈现升高趋势。时间尺度呈现出昼夜、季节和年度变化差异,表现为鸟类在黎明和黄昏合唱、昆虫和两栖动物在夜间鸣叫以及季节性和年度性发声规律等。影响城市动物声景模式的因素主要包括植被、环境、人为干扰和动物自身驱动等。动物声景作为当前声景生态学研究的热点之一,面临大时空尺度演变规律研究不足、动物声景分析有限等挑战,建议未来着重开展多时空尺度变化规律研究、创新动物声景分析方法、定量解析影响因素及其响应机制、建立全球动物声景数据库等。更多还原

【Abstract】 Background & Aims: The animal community is a key element constituting the urban green-space ecosystem. As an important ecological component of wild animal communities,the soundscape is of great significance in guiding urban green-space landscape design and biodiversity conservation measures. This paper examined 67 articles from the core collection of Web of Science published between 2005 and 2022 to comprehensively analyze the spatiotemporal patterns of and influences on animal soundscapes in urban green spaces.Findings: The animal soundscape of urban green space was influenced by environmental-spatial gradients and vegetation spatial structure. Animal sound diversity was inversely correlated with altitude,latitude,urbanization degree,and was also related to vegetation type and height. Phenology of the urban soundscape also showed diurnal,seasonal,and annual variation,including characteristics such as dawn and dusk avian choruses,insect and amphibians nocturnal choruses,and other aspects of animals’ seasonal and annual vocalization patterns. The factors that affect the urban animal soundscape thus include mainly vegetation,environment,anthropogenic interference,and self-driving of animals. Prospects: Despite being one of the hotspots of current soundscape ecology research,animal soundscape research faces challenges such as insufficient investigation of large spatiotemporal scales. Promising directions for future research include the quantitative analysis of influential factors and their response mechanisms as well as the establishment of a global animal soundscape database.更多还原