Linking community size structure and ecosystem functioning using metabolic theory

Gabriel Yvon-Durocher*, Andrew P. Allen

*Corresponding author for this work

Research output: Contribution to journalArticle

56 Citations (Scopus)

Abstract

Understanding how biogeochemical cycles relate to the structure of ecological communities is a central research question in ecology. Here we approach this problem by focusing on body size, which is an easily measured species trait that has a pervasive influence on multiple aspects of community structure and ecosystem functioning. We test the predictions of a model derived from metabolic theory using data on ecosystem metabolism and community size structure. These data were collected as part of an aquatic mesocosm experiment that was designed to simulate future environmental warming. Our analyses demonstrate significant linkages between community size structure and ecosystem functioning, and the effects of warming on these links. Specifically, we show that carbon fluxes were significantly influenced by seasonal variation in temperature, and yielded activation energies remarkably similar to those predicted based on the temperature dependencies of individual-level photosynthesis and respiration. We also show that community size structure significantly influenced fluxes of ecosystem respiration and gross primary production, particularly at the annual time-scale. Assessing size structure and the factors that control it, both empirically and theoretically, therefore promises to aid in understanding links between individual organisms and biogeochemical cycles, and in predicting the responses of key ecosystem functions to future environmental change.

Original languageEnglish
Pages (from-to)2998-3007
Number of pages10
JournalPhilosophical Transactions of the Royal Society B: Biological Sciences
Volume367
Issue number1605
DOIs
Publication statusPublished - 5 Nov 2012

Fingerprint Dive into the research topics of 'Linking community size structure and ecosystem functioning using metabolic theory'. Together they form a unique fingerprint.

  • Cite this