Authors

Tanya Strydom

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Published

September 19, 2024

Overview

This concept of using body mass ratios to determine potential feeding links between species was primarily developed by Rohr et al. (2010) and has become quite popular in paleo settings (Yeakel et al. 2014; Pires et al. 2015)

Methods

Core idea relates to the ratio between consumer and resource body sizes - which supposedly stems from niche theory (still trying to reconcile that myself). The probability of a link existing between a consumer and resource (in its most basic form) is defined as follows:

\[ P_{ij} = \frac{p}{1+p} \]

where

\[ p = exp[\alpha + \beta log(\frac{M_{i}}{M_{j}}) + \gamma log^{2}(\frac{M_{i}}{M_{j}})] \tag{1}\]

The original latent-trait model developed by Rohr et al. (2010) also included an additional latent trait term \(v_{i} \delta f_{j}\) however for simplicity we will use Equation 1 as per Yeakel et al. (2014). Based on Rohr et al. (2010) it is possible to estimate the parameters \(\alpha\), \(\delta\), and \(\gamma\) using a GLM but we will use the parameters from Yeakel et al. (2014), which was ‘trained’ on the Serengeti food web data and are as follows: \(\alpha = 1.41\), \(\delta = 3.75\), and \(\gamma = 1.87\).

References

Pires, Mathias M., Paul L. Koch, Richard A. Fariña, Marcus A. M. de Aguiar, Sérgio F. dos Reis, and Paulo R. Guimarães. 2015. “Pleistocene Megafaunal Interaction Networks Became More Vulnerable After Human Arrival.” Proceedings of the Royal Society B: Biological Sciences 282 (1814): 20151367. https://doi.org/10.1098/rspb.2015.1367.
Rohr, Rudolf Philippe, Heike Scherer, Patrik Kehrli, Christian Mazza, and Louis-Félix Bersier. 2010. “Modeling Food Webs: Exploring Unexplained Structure Using Latent Traits.” The American Naturalist 176 (2): 170–77. https://doi.org/10.1086/653667.
Yeakel, Justin D., Mathias M. Pires, Lars Rudolf, Nathaniel J. Dominy, Paul L. Koch, Paulo R. Guimarães, and Thilo Gross. 2014. “Collapse of an Ecological Network in Ancient Egypt.” PNAS 111 (40): 14472–77. https://doi.org/10.1073/pnas.1408471111.