分析声景和其他周期性生态数据的时间序列方法

IF 6.3 2区环境科学与生态学 Q1 ECOLOGY

Methods in Ecology and Evolution Pub Date : 2024-06-11 DOI:10.1111/2041-210X.14361

Natalie Yoh, Charlotte L. Haley, Zuzana Burivalova

引用次数: 0

摘要

生物多样性监测已进入 "大数据 "时代，这体现在几乎持续不断地收集来自不同生态系统中生物的声音、图像、化学和其他信号。这些数据流有可能帮助识别新的威胁、评估保护干预措施的有效性以及产生新的生态见解。在此，我们提出了一个框架，用于描述和分析代表非稳态、复杂时间模式的生态响应，并展示了使用傅立叶变换对连续数据点进行去相关化的价值。在我们的例子中，我们使用基于三种方法（频谱分析、幅度平方相干性和主成分分析）的框架来描述加蓬热带森林声景在不同地点和不同季节的差异。旱季的声景具有复杂的昼夜周期，需要多个谐波来表示每日的变化，而在雨季，可归因于每日周期模式的差异较小。我们的框架可应用于以精细时间分辨率收集的大多数连续或接近连续的生态数据，使生态学家能够在多个层面上探索时间自相关模式，以发现具有生物学意义的趋势。随着生物大数据被用于了解人为压力对生物多样性的影响并为减轻这些压力提供信息，这种方法将变得不可或缺。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

Time series methods for the analysis of soundscapes and other cyclical ecological data

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Time series methods for the analysis of soundscapes and other cyclical ecological data

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来源期刊

Methods in Ecology and Evolution ECOLOGY-

CiteScore

11.60

自引率

3.00%

发文量

236

审稿时长

4-8 weeks

期刊介绍： A British Ecological Society journal, Methods in Ecology and Evolution (MEE) promotes the development of new methods in ecology and evolution, and facilitates their dissemination and uptake by the research community. MEE brings together papers from previously disparate sub-disciplines to provide a single forum for tracking methodological developments in all areas. MEE publishes methodological papers in any area of ecology and evolution, including: -Phylogenetic analysis -Statistical methods -Conservation & management -Theoretical methods -Practical methods, including lab and field -This list is not exhaustive, and we welcome enquiries about possible submissions. Methods are defined in the widest terms and may be analytical, practical or conceptual. A primary aim of the journal is to maximise the uptake of techniques by the community. We recognise that a major stumbling block in the uptake and application of new methods is the accessibility of methods. For example, users may need computer code, example applications or demonstrations of methods.