Jochum Malte, Barnes Andrew D, Brose Ulrich, Gauzens Benoit, Sünnemann Marie, Amyntas Angelos, Eisenhauer Nico
German Centre for Integrative Biodiversity Research (iDiv) Halle-Jena-Leipzig Leipzig Germany.
Institute of Biology Leipzig University Leipzig Germany.
Ecol Evol. 2021 Sep 14;11(19):12948-12969. doi: 10.1002/ece3.8060. eCollection 2021 Oct.
Global change alters ecological communities with consequences for ecosystem processes. Such processes and functions are a central aspect of ecological research and vital to understanding and mitigating the consequences of global change, but also those of other drivers of change in organism communities. In this context, the concept of energy flux through trophic networks integrates food-web theory and biodiversity-ecosystem functioning theory and connects biodiversity to multitrophic ecosystem functioning. As such, the energy-flux approach is a strikingly effective tool to answer central questions in ecology and global-change research. This might seem straight forward, given that the theoretical background and software to efficiently calculate energy flux are readily available. However, the implementation of such calculations is not always straight forward, especially for those who are new to the topic and not familiar with concepts central to this line of research, such as food-web theory or metabolic theory. To facilitate wider use of energy flux in ecological research, we thus provide a guide to adopting energy-flux calculations for people new to the method, struggling with its implementation, or simply looking for background reading, important resources, and standard solutions to the problems everyone faces when starting to quantify energy fluxes for their community data. First, we introduce energy flux and its use in community and ecosystem ecology. Then, we provide a comprehensive explanation of the single steps towards calculating energy flux for community data. Finally, we discuss remaining challenges and exciting research frontiers for future energy-flux research.
全球变化改变了生态群落,对生态系统过程产生影响。这些过程和功能是生态研究的核心内容,对于理解和减轻全球变化的后果至关重要,对于理解和减轻生物群落中其他变化驱动因素的后果也至关重要。在这种背景下,通过营养网络的能量通量概念整合了食物网理论和生物多样性-生态系统功能理论,并将生物多样性与多营养级生态系统功能联系起来。因此,能量通量方法是回答生态学和全球变化研究核心问题的一种极其有效的工具。鉴于高效计算能量通量的理论背景和软件 readily available,这似乎很简单。然而,这种计算的实施并不总是那么简单,尤其是对于那些刚接触该主题且不熟悉这一研究领域核心概念的人来说,比如食物网理论或代谢理论。为了促进能量通量在生态研究中的更广泛应用,我们因此为刚接触该方法、在实施过程中遇到困难或者只是想寻找背景阅读资料、重要资源以及解决每个人在开始为其群落数据量化能量通量时所面临问题的标准解决方案的人,提供一份采用能量通量计算的指南。首先,我们介绍能量通量及其在群落和生态系统生态学中的应用。然后,我们对为群落数据计算能量通量的各个步骤进行全面解释。最后,我们讨论未来能量通量研究仍面临的挑战和令人兴奋的研究前沿。