arXiv:2509.02201q-bio.PEcs.SD2025-09

用声音监测生态系统崩溃前兆,提前预警环境突变

Prospects for acoustically monitoring ecosystem tipping points

  • 通过分析生态声景变化,捕捉系统恢复力下降的早期信号
  • 实验证明声学数据能反映生态系统健康状态与稳定性趋势
  • 适合生态监测、自然保护与长期环境评估的研究者使用

许多生态系统在受到扰动或条件变化时可能经历重要质变,包括突然转向另一种稳定状态,这些'临界点'通常由生态系统恢复力下降所预示,表现为空间和时间上的可检测特征。这类'早期预警信号'已被用于预测多种真实系统的转变。然而,尽管高通量、自主化的监测技术正重塑生态学研究,其潜力尚未完全发挥。声学监测特别适用于量化生物多样性、追踪生态系统健康状况并支持保护工作。通过在不同环境中部署声学记录器,研究人员已从物种叫声与行为中获取信息,提炼出描述生境质量甚至预测物种出现的声景特征。本文结合理论与实践,倡导利用声学手段探测生态系统恢复力,识别新兴及已确立的临界点早期信号。强调尽管临界点理论存在局限且当前数据规模与可迁移性有限,声学仍有望在不同生态系统和尺度上理解恢复力与临界风险。

原文摘要 · Abstract (English)

Many ecosystems can undergo important qualitative changes, including sudden transitions to alternative stable states, in response to perturbations or increments in conditions. Such 'tipping points' are often preceded by declines in aspects of ecosystem resilience, namely the capacity to recover from perturbations, that leave various spatial and temporal signatures. These so-called 'early warning signals' have been used to anticipate transitions in diverse real systems, but many of the high-throughput, autonomous monitoring technologies that are transforming ecology have yet to be fully leveraged to this end. Acoustic monitoring in particular is a powerful tool for quantifying biodiversity, tracking ecosystem health, and facilitating conservation. By deploying acoustic recorders in diverse environments, researchers have gained insights from the calls and behaviour of individual species to higher-level soundscape features that describe habitat quality and even predict species occurrence. Here, we draw on theory and practice to advocate for using acoustics to probe ecosystem resilience and identify emerging and established early warning signals of tipping points. With a focus on pragmatic considerations, we emphasise that despite limits to tipping point theory and the current scale and transferability of data, acoustics could be instrumental in understanding resilience and tipping potential across distinct ecosystems and scales.

生态监测声景分析临界点预警

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