Abstract
Background Food webs summarise trophic interactions of the biotic components within an ecosystem, which can influence nutrient dynamics and energy flows, ultimately affecting ecosystem functions and services. Food webs represent the hypothesised trophic links between predators and prey and can be presented as empirical food webs, in which the relative strength/importance of the respective links are quantified. Some common methods used in food web research include gut content analysis (GCA) and stable isotope analysis (SIA). We combine both methods to construct empirical food web models as a basis for monitoring and studying ecosystem-level outcomes of natural (e.g. species turnover in fish assemblage) and intentional environmental change (e.g. biomanipulation).
| Original language | English |
|---|---|
| Article number | e86192 |
| Journal | Biodiversity Data Journal |
| Volume | 10 |
| Early online date | 14 Sept 2022 |
| DOIs | |
| Publication status | Published - 14 Sept 2022 |
Bibliographical note
Publisher Copyright:© Wilkinson C et al. This is an open access article distributed under the terms of the Creative Commons Attribution License (CC BY 4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Funding
This project was funded by PUB, Singapore’s Water Agency [National University of Singapore grant number R-154-000-619-490 and R-154-000-A20-490].
Keywords
- gut content
- stable isotope analysis
- freshwater communities
- reservoirs
- trophic interactions
- Stable isotope analysis
- Gut content
- Freshwater communities
- Reservoirs
- Trophic interactions
