Towards understanding interactions in a complex world: Design and analysis of multi-species functional response experiments

IF 6.3 2区 环境科学与生态学 Q1 ECOLOGY
Benjamin Rosenbaum, Jingyi Li, Myriam R. Hirt, Remo Ryser, Ulrich Brose
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引用次数: 0

Abstract

Abstract Image

了解复杂世界中的相互作用:多物种功能响应实验的设计与分析
功能响应描述了消费者的摄食率与资源密度的函数关系。以单一资源物种为食的模型研究得很好,并得到大量实证研究的支持,而以多种资源物种为食的消费者在自然界中无处不在。然而,为多物种功能反应(MSFR)参数化而设计的实验室实验却极为罕见,这主要是由于后勤方面的挑战及其统计分析的非难性。在此,我们将介绍如何在贝叶斯框架内将这些模型与经验数据拟合。具体来说,我们要解决实验过程中猎物枯竭的问题,这个问题可以通过动态建模来解释。在一项综合模拟研究中,我们测试了实验设计、样本大小和噪声水平对四种不同 MSFR 模型可识别性的影响。此外,我们还将该方法应用于一系列经验数据集,从而展示了该方法的多功能性。我们确定了在两只和三只猎物情况下能产生最准确参数估计的喂食试验设计。虽然噪声会给参数估计带来系统性偏差,但模型选择在四种 MSFRs 中的表现却出人意料地好,即使是小数据集,也几乎总能识别出正确的模型。这种灵活的框架允许同时分析单猎物和多猎物情况下的摄食实验,无论是否有猎物耗竭。这将有助于阐明猎物选择性、猎物转换等机制及其对食物网稳定性和生物多样性的影响。我们的方法为研究人员提供了适当的统计工具,以提高对复杂生态系统中摄食相互作用的理解。
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来源期刊
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.
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