Proceedings of the National Academy of Sciences · 2015 · 89 citations · 37 references
Life SciencesBiologyEcologyMarine EcologyNutrient CyclingTrophic EcologyAnimal EcologyEcological StoichiometryEcosystem StoichiometryMacroecologyMetabolic EcologyTrophic InteractionsC:n:p StoichiometryFood Web StoichiometryMetabolic StoichiometryMetabolic Theory Of EcologyNutrient RecyclingStoichiometric EcologyStoichiometry Of Food WebsTrophic Stoichiometry
Reconciling the degree to which ecological processes are generalizable among taxa and ecosystems, or contingent on the identity of interacting species, remains a critical challenge in ecology. Ecological stoichiometry (EST) and metabolic theory of ecology (MTE) are theoretical approaches used to evaluate how consumers mediate nutrient dynamics and energy flow through ecosystems. Recent theoretical work has explored the utility of these theories, but empirical tests in species-rich ecological communities remain scarce. Here we use an unprecedented dataset collected from fishes and dominant invertebrates (n = 900) in a diverse subtropical coastal marine community (50 families, 72 genera, 102 species; body mass range: 0.04-2,597 g) to test the utility of EST and MTE in predicting excretion rates of nitrogen (E(N)), phosphorus (E(P)), and their ratio (E(NP)). Body mass explained a large amount of the variation in EN and EP but not E(NP). Strong evidence in support of the MTE 3/4 allometric scaling coefficient was found for E(P), and for E(N) only after accounting for variation in excretion rates among taxa. In all cases, including taxonomy in models substantially improved model performance, highlighting the importance of species identity for this ecosystem function. Body nutrient content and trophic position explained little of the variation in E(N), E(P), or E(NP), indicating limited applicability of basic predictors of EST. These results highlight the overriding importance of MTE for predicting nutrient flow through organisms, but emphasize that these relationships still fall short of explaining the unique effects certain species can have on ecological processes.
37
R: A Language and Environment for Statistical Computing
R Core Team · 2000 · 353K citations · Full text
Natural Sciences, Computer Science, Statistical Computing +10
EFFECTS OF BIODIVERSITY ON ECOSYSTEM FUNCTIONING: A CONSENSUS OF CURRENT KNOWLEDGE
David U. Hooper, F. Stuart Chapin, John J. Ewel et al. · Ecological Monographs · 2005 · 7.9K citations · Full text
Life Sciences, Biology, Ecology +12
TOWARD A METABOLIC THEORY OF ECOLOGY
James H. Brown, James F. Gillooly, Andrew P. Allen et al. · Ecology · 2004 · 7.8K citations
Life Sciences, Biology, Ecology +15