Foraging constraints reverse the scaling of activity time in carnivores
File(s)Rizzuto_etal_Activity_Final.pdf (556.37 KB)
Accepted version
Author(s)
Rizzuto, M
Carbone, C
Pawar, S
Type
Journal Article
Abstract
The proportion of time an animal spends actively foraging in a day determines its long-term fitness. Here, we derive a general mathematical model for the scaling of this activity time with body size in consumers. We show that this scaling can change from positive (increasing with size) to negative (decreasing with size) if the detectability and availability of preferred prey sizes is a limiting factor. These predictions are supported by a global dataset on 73 terrestrial carnivore species from 8 families spanning >3 orders of magnitude in size. Carnivores weighing ∼5 kg experience high foraging costs because their diets include significant proportions of relatively small (invertebrate) prey. As a result, they show an increase in activity time with size. This shifts to a negative scaling in larger carnivores as they shift to foraging on less costly vertebrate prey. Our model can be generalized to other classes of terrestrial and aquatic consumers and offers a general framework for mechanistically linking body size to population fitness and vulnerability in consumers.
Date Issued
2017-12-04
Date Acceptance
2017-10-18
Citation
Nature Ecology and Evolution, 2017, 2, pp.247-253
ISSN
2397-334X
Publisher
Nature Publishing Group
Start Page
247
End Page
253
Journal / Book Title
Nature Ecology and Evolution
Volume
2
Copyright Statement
Copyright © 2017, Springer Nature
Sponsor
Natural Environment Research Council (NERC)
Identifier
https://www.nature.com/articles/s41559-017-0386-1
Grant Number
NE/M004740/1
Subjects
Science & Technology
Life Sciences & Biomedicine
Ecology
Evolutionary Biology
Environmental Sciences & Ecology
BODY-SIZE
METABOLIC-RATE
MAMMALS
BIRDS
CONSUMPTION
CAPACITY
COSTS
DIET
Animals
Body Size
Carnivora
Diet
Models, Biological
Predatory Behavior
Time Factors
Animals
Carnivora
Body Size
Diet
Predatory Behavior
Models, Biological
Time Factors
Publication Status
Published
Date Publish Online
2017-12-04