2022 Early Hearing Detection & Intervention Virtual Conference
March 13 - 15, 2022
5/23/2019 | 10:00 AM - 10:15 AM | USING PROXY DATA TO INFER PREDATOR PREY INTERACTIONS IN STREAM | 250 DE
USING PROXY DATA TO INFER PREDATOR PREY INTERACTIONS IN STREAM
Food webs are a powerful way to represent the diversity, structure, and function of ecological systems. However, the accurate description of food web structure requires significant allocation of time and resources, limiting their widespread use in ecological studies. However, methods exist for the inference of feeding interactions using proxy variables. Here, we predict the presence of trophic interactions between species based on population-level data (e.g. body size and local abundance), and compare our results to known food web structure. We show that this model performs well at predicting individual species interactions, and that these individual predictions scale up to the network level, resulting in food web structure of inferred networks being similar to their empirical counterparts. Our results indicate that inferring food web structure using proxy variables can be an efficient way of estimating food web structure. The model presented here can facilitate the investigation of variation in food web structure across spatiotemporal and environmental gradients, and can aid in our understanding of the mechanisms leading to predator-prey interactions.
- Food Webs
- Predator-prey
- Network
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Presenters/Authors
Justin Pomeranz
(), University Canterbury, jfpomeranz@gmail.com;
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Ross Thompson
(), University of Canberra, ross.thompson@canberra.edu.au;
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Timothée Poisot
(), University of Montreal, timothee.poisot@umontreal.ca;
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Jon Harding
(), University Canterbury, jon.harding@canterbry.ac.nz;
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