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Disentangling the effects of predator body size and prey density on prey consumption in a lizard
Author(s) -
GonzálezSuárez Manuela,
Mugabo Marianne,
Decencière Beatriz,
Perret Samuel,
Claessen David,
Le Galliard JeanFrançois
Publication year - 2011
Publication title -
functional ecology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.272
H-Index - 154
eISSN - 1365-2435
pISSN - 0269-8463
DOI - 10.1111/j.1365-2435.2010.01776.x
Subject(s) - allometry , predation , functional response , predator , biology , lizard , ecology , trophic level , biomass (ecology) , population , demography , sociology
Summary 1. Understanding proximate determinants of predation rates is a central question in ecology. Studies often use functional response (density dependent) or allometric (mass dependent) models but approaches that consider multiple factors are critical to capture the complexity in predator–prey interactions. We present a novel comprehensive approach to understand predation rates based on field data obtained from a vertebrate predator. 2. Estimates of food consumption and prey abundance were obtained from 21 semi‐natural populations of the lizard Zootoca vivipara . We identified the most parsimonious feeding rate function exploring allometric, simple functional response and allometric functional response models. Each group included effects of sex and weather conditions. 3. Allometric models reveal the importance of predator mass and sex: larger females have the highest natural feeding rates. Functional response models show that the effect of prey density is best represented by a Holling type II response model with a mass, sex and weather dependent attack rate and a constant handling time. However, the best functional response model only received moderate support compared to simpler allometric models based only on predator mass and sex. 4. Despite this limited effect of prey densities on feeding rates, we detected a significant negative relationship between an index of preferred prey biomass and lizard density. 5. Functional response models that ignore individual variation are likely to misrepresent trophic interactions. However, simpler models based on individual traits may be best supported by some data than complex allometric functional responses. These results illustrate the importance of considering individual, population and environmental effects while also exploring simple models.