考虑到整个群落的构成,改进交互重新布线估算的新工具

IF 6.3 2区 环境科学与生态学 Q1 ECOLOGY Methods in Ecology and Evolution Pub Date : 2024-06-24 DOI:10.1111/2041-210X.14366
Carmelo Gómez-Martínez, Amparo Lázaro
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引用次数: 0

摘要

了解生态网络的时间动态对于预测它们应对全球变化的能力至关重要。尽管如此,对网络动态进行适当量化仍然是一项挑战。研究时间动态的典型方法是利用相互作用网络随时间变化的数据,评估相互作用的更替及其两个组成部分:与物种更替(物种的增加和减少)或重新布线(随时间变化的共享物种集之间的伙伴转换)有关的变化。然而,如果采用这种完全基于网络数据的方法,在特定时间段内群落中真正缺失的物种和群落中出现但没有相互作用的物种的动态计算结果也是类似的。这可能会导致低估重新布线的真实程度,同时高估相互作用更替中的物种更替部分。我们利用 20 个植物-传粉昆虫群落的数据,计算了相互作用更替率成分,其中也考虑了在不同时间段出现在群落中但未出现在某些时间相互作用网络中的物种(非相互作用物种),然后将这些估计值与传统估计值进行了比较。此外,我们还利用经验数据和模拟来评估在包括和排除非相互作用物种时,动态估计值受采样工作影响的程度。不考虑群落中不同时间段出现的非互作物种,会导致低估互作更替中的重新布线和高估物种更替。当包括独立授粉者数据时,效应大小适中;当包括植物或两个营养级时,效应大小较大。模拟结果表明,一般来说,考虑非交互作用物种可减少在识别不同交互作用更替成分引起的变化时出现的偏差。在取样工作量较小和按季节计算动态变化时,考虑非相互作用物种对减少偏差尤为重要。尽管取样工作量会产生影响,但物候学是物种重新布线频率的主要决定因素。我们的方法有助于减少偏差和改进对网络中相互作用灵活性的估计,这对于理解群落在全球变化中的反应是必要的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

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A new tool to improve the estimates of interaction rewiring considering the whole community composition

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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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