© The Author(s) 2013. This article is published with open access at Springerlink.com Abstract The Marginal Value Theorem (MVT) is a cornerstone of biological theory. It connects the quality and distribution of patches in a fragmented habitat to the optimal time an individual should spend exploiting them, and thus its optimal rate of move-ment. However, predictions regarding how habitat alterations should impact optimal strategies have remained elusive, with heavy reliance on graphical arguments. Here we derive the sensitivity of realized fitness and optimal residence times to general habitat attributes, for homogeneous and heterogeneous habitats, retaining the level of gen-erality of the MVT. We provide new predictions on how altering trave...
All animals are faced with substantial variation in resource abundance over time and space. Patch-us...
This is a Science Citation Classic commentary on the Marginal Value Theorem [Charnov, 1976
The residential mobility patterns of modern hunter-gatherers broadly reflect local resource availabi...
The Marginal Value Theorem (MVT) is a cornerstone of biological theory. It connects the quality and ...
International audienceThe Marginal Value Theorem (MVT) provides a framework to predict how habitat m...
A preprint peer-reviewed and recommended by Peer Community In Ecology: https://doi.org/10.1101/27355...
International audienceUnderstanding how often individuals should move when foraging over patchy habi...
The Marginal Value Theorem (MVT) is the dominant paradigm in predicting patch use and numerous tests...
Integrating evolution and ecology into mathematical models allows one to study the role of natural s...
1.If animals moved randomly in space, the use of different habitats would be proportional to their a...
We study a reaction-diffusion model in a binary environment made of habitat and non-habitat regions....
In this paper we show the density-dependent harvest rates of optimal Bayesian foragers exploiting pr...
Journal ArticleForagers unable to leave a patch at the optimal moment must act as constrained forage...
This is a Science Citation Classic commentary on the Marginal Value Theorem [Charnov, 1976
A forager's optimal patch-departure time can be predicted by the prescient marginal value theorem (p...
All animals are faced with substantial variation in resource abundance over time and space. Patch-us...
This is a Science Citation Classic commentary on the Marginal Value Theorem [Charnov, 1976
The residential mobility patterns of modern hunter-gatherers broadly reflect local resource availabi...
The Marginal Value Theorem (MVT) is a cornerstone of biological theory. It connects the quality and ...
International audienceThe Marginal Value Theorem (MVT) provides a framework to predict how habitat m...
A preprint peer-reviewed and recommended by Peer Community In Ecology: https://doi.org/10.1101/27355...
International audienceUnderstanding how often individuals should move when foraging over patchy habi...
The Marginal Value Theorem (MVT) is the dominant paradigm in predicting patch use and numerous tests...
Integrating evolution and ecology into mathematical models allows one to study the role of natural s...
1.If animals moved randomly in space, the use of different habitats would be proportional to their a...
We study a reaction-diffusion model in a binary environment made of habitat and non-habitat regions....
In this paper we show the density-dependent harvest rates of optimal Bayesian foragers exploiting pr...
Journal ArticleForagers unable to leave a patch at the optimal moment must act as constrained forage...
This is a Science Citation Classic commentary on the Marginal Value Theorem [Charnov, 1976
A forager's optimal patch-departure time can be predicted by the prescient marginal value theorem (p...
All animals are faced with substantial variation in resource abundance over time and space. Patch-us...
This is a Science Citation Classic commentary on the Marginal Value Theorem [Charnov, 1976
The residential mobility patterns of modern hunter-gatherers broadly reflect local resource availabi...