The article introduces the concept of the risk-MVT (rMVT), which generalizes the classic Marginal Value Theorem (MVT) to incorporate the effects of predation risk on optimal foraging strategies. The rMVT retains the structure and graphical simplicity of the original MVT, but shifts the optimization domain from regular time to expected dose of risk (micromorts).
The authors classify different types of predation risk scenarios, ranging from disturbance (non-lethal interruptions) to escape (forced patch leaving) to lethal predation. They show how each risk scenario can be incorporated into the rMVT framework, and how the rMVT relates to and generalizes Brown's Giving-Up Density (GUD) theory.
Key insights from the rMVT include:
The rMVT provides a unified framework to understand the effects of diverse predation risks on optimal foraging strategies, reconciling the "resource acquisition" perspective of the MVT and the "fear" perspective of GUD theory.
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by Calcagno,V.,... at www.biorxiv.org 11-02-2023
https://www.biorxiv.org/content/10.1101/2023.10.31.564970v3Deeper Inquiries