从城市留野地到自然保护地:鸟类声景的理论与应用
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广东省林业局生态林业专项资金“南岭国家公园生物多样性综合科学考察”(编号:2025267);中山大学中央高校基本科研业务费重点项目 “声纹监测技术在生物多样性监测和有害生物防治中的应用”(编号:09020-31670001);黄龙自然保护地综合科学考察报告编制项目“黄龙 保护地鸟类多样性本底调查”(编号:77010-71020025)


From Urban Green Remnants to Nature Reserves: The Theory and Applications of Avian Soundscape
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    摘要:

    鸟类声景是指特定时空尺度下,以鸟类鸣声作为主要生物声成分,并与地理声和人类声相互作用的声景类 型,是能够反映生态系统完整性、群落动态及生物多样性的重要指标。鸟类声景的研究立足于声学生态位 假说与声学适应性假说,将景观生态学、动物行为学与城市规划等多方面紧密联系起来,近年来已成为揭 示鸟类对自然环境及人为干扰的适应机制的热点领域。本研究采用系统综述方法,对2005—2025年间国内 外相关文献进行梳理,分析城市留野地与自然保护地中鸟类声景的理论进展与应用现状。文献计量与关键 词共现分析显示:(1)该领域发文量呈显著上升趋势,国际研究展现出清晰的演进脉络,从早期侧重评估 “人为噪声负面干扰”,逐步转向利用声学指数与机器学习技术进行“生物多样性量化与监测”;而国内研究 起步较晚(最早于2011年),且更侧重于探索声景感知体验与其对人类健康的“恢复性效应”;(2)在研究前 沿方面,被动声学监测与深度学习技术的融合已成为主流,该方法能够通过自动化流程处理海量声学数据, 从而极大地提升鸟类物种识别与生态行为分析的效率;(3)在应用实践层面,鸟类声景已成为风景园林设 计的重要资源。以康奈尔鸟类实验室与黄龙国家级风景名胜区内的案例分析了将科研数据转化为沉浸式景 观体验的可行性,提出鸟类声景研究在城市留野地和自然保护地中呈现出不同的理论关注重点和应用导向。 未来研究需进一步解析不同环境梯度下鸟类声景的时空异质性,探索建立基于录音数据的鸟类声景预测模 型,同时在景观设计实践中致力于解决人类游憩恢复需求与野生动物声学干扰之间的生态悖论,以实现生 态保护与人类福祉的双赢。

    Abstract:

    An avian soundscape is the soundscape in which bird vocalizations constitute the dominant biophonic component, interacting with geophony and anthrophony within a specifi c spatiotemporal context. It serves as a vital indicator for assessing ecosystem integrity, community dynamics, and biodiversity. Grounded in the Acoustic Niche Hypothesis and the Acoustic Adaptation Hypothesis, research in this fi eld bridges landscape ecology, ethology, and urban planning, which has recently emerged as a focal area for elucidating the mechanisms by which birds adapt to both natural environments and anthropogenic disturbances. Employing a systematic review, this article analyzes literature published between 2005 and 2025 to examine theoretical advancements and practical applications of avian soundscapes in urban green remnants and nature reserves. Bibliometric and keyword co-occurrence analyses reveal: (1) A signifi cant upward trend in publication volume. International research has followed a clear trajectory, shifting from an early focus on assessing the negative impacts of anthropogenic noise to the use of acoustic indices and machine learning for biodiversity quantifi cation and monitoring. Conversely, domestic research in China, though emerging later (commencing in 2011), places greater emphasis on soundscapes and their restorative eff ects on human health. (2) Regarding research frontiers, the integration of Passive Acoustic Monitoring (PAM) with deep learning has become the mainstream approach. This synergy enables the automated processing of large-scale acoustic datasets, thereby significantly enhancing the effi ciency of species identifi cation and ecological and behavioral analyses. (3) Regarding practical application, the avian soundscape has emerged as a vital resource for landscape architecture. We analyze the feasibility of transforming scientifi c data into immersive landscape experiences through case studies of the Cornell Lab of Ornithology and the Huanglong National Scenic Area. We suggest that avian soundscape research in urban green remnants and nature reserves is characterized by distinct theoretical emphases and applied research orientations. Future research should further disentangle the spatiotemporal heterogeneity of avian soundscapes across environmental gradients and develop prediction models based on acoustic monitoring data. Furthermore, landscape design practices must address the ecological paradox between human recreational needs and acoustic disturbance to wildlife, aiming to balance ecological conservation and human well-being.

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陈宇昊,陈子豪,杨兰,魏广鹏,张学聪,周婷,刘阳. 从城市留野地到自然保护地:鸟类声景的理论与应用 [J]. 园林, 2026, (3): 64-74. 复制

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  • 在线发布日期: 2026-03-10
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