ArticleEcology and evolution2021
For flux's sake: General considerations for energy-flux calculations in ecological communities.
Article in Ecology and evolution, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
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Who cites it
13 citing papers in PubMed.
- Standardized Protocols for Soil Fauna Extraction and a Call for Cross-Lab Implementation.Ecology and evolution · 2026Article
- Energy and biomass distribution in soil food webs of temperate and tropical forests.Nature communications · 2026Article
- A soil food web approach to integrate soil fauna into multitrophic biogeochemistry.Communications earth & environment · 2026Review
- Article
- Global Change Asymmetrically Rewires Ecosystems.Ecology letters · 2025Review
- Fungal Energy Channelling Sustains Soil Animal Communities Across Forest Types and Regions.Ecology letters · 2025Article
- Shared community history strengthens plant diversity effects on below-ground multitrophic functioning.The Journal of animal ecology · 2025Article
- Soil community history strengthens belowground multitrophic functioning across plant diversity levels in a grassland experiment.Nature communications · 2024Article
- Article
- Impacts of extreme climatic events on trophic network complexity and multidimensional stability.Ecology · 2023Article
- Food web rewiring drives long-term compositional differences and late-disturbance interactions at the community level.Proceedings of the National Academy of Sciences of the United States of America · 2022Article
- Article
- For flux's sake: General considerations for energy-flux calculations in ecological communities.Ecology and evolution · 2021Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
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.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.