Open AccessA unifying approach to allometric scaling of resource ingestion rates under limiting conditions
Author(s) -
Basset Alberto,
Cozzoli Francesco,
Paparella Francesco
Publication year - 2012
Publication title -
ecosphere
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.255
H-Index - 57
ISSN - 2150-8925
DOI - 10.1890/es11-00249.1
Subject(s) - allometry , resource (disambiguation) , scaling , ingestion , limiting , dependency (uml) , population , ecology , econometrics , biological system , computer science , statistical physics , statistics , mathematics , biology , physics , medicine , geometry , mechanical engineering , computer network , biochemistry , software engineering , environmental health , engineering
Individual resource ingestion rates depend on both individual body size and resource supply. A component of the latter, namely resource availability, is also body‐size dependent. This raises the question of the adequacy of simple scaling laws to describe the body‐size dependency of resource ingestion. Here we propose a model which integrates resource ingestion drivers by merging a scaling law for feeding metabolism and Holling's functional responses into a single mathematical framework. At any fixed level of resource supply, the model predicts a log‐log concave‐down relationship between resource ingestion rates and body size, rather than a simple scaling law. Deviations from the latter are accounted for by the body size dependency of resource limitations. Experimental and literature data describing patterns of perceived resource availability and individual intake rates under limiting conditions with increasing individual body size are used to validate the model's assumptions and predictions. The model incorporates and extends well‐established theoretical approaches and is intended as a step towards the integration of metabolic theory with behavioral ecology and population dynamics.