2020 journal article

Taxonomic identity best explains variation in body nutrient stoichiometry in a diverse marine animal community

SCIENTIFIC REPORTS, 10(1).

MeSH headings : Animals; Biodiversity; Body Size; Food Chain; Invertebrates / classification; Invertebrates / physiology; Marine Biology; Nutrients / analysis; Nutritional Status
TL;DR: It is demonstrated that taxonomic identity, not trophic status or body size, is the best baseline from which to predict organismal body nutrient content, and that nutrients are “stoichiometrically linked” but that the direction of these relationships does not always conform to expectations, especially for invertebrates. (via Semantic Scholar)
UN Sustainable Development Goals Color Wheel
UN Sustainable Development Goal Categories
13. Climate Action (Web of Science)
14. Life Below Water (Web of Science; OpenAlex)
15. Life on Land (Web of Science)
Source: Web Of Science
Added: September 14, 2020

Abstract Animal-mediated nutrient dynamics are critical processes in ecosystems. Previous research has found animal-mediated nutrient supply (excretion) to be highly predictable based on allometric scaling, but similar efforts to find universal predictive relationships for an organism’s body nutrient content have been inconclusive. We use a large dataset from a diverse tropical marine community to test three frameworks for predicting body nutrient content. We show that body nutrient content does not follow allometric scaling laws and that it is not well explained by trophic status. Instead, we find strong support for taxonomic identity (particularly at the family level) as a predictor of body nutrient content, indicating that evolutionary history plays a crucial role in determining an organism’s composition. We further find that nutrients are “stoichiometrically linked” (e.g., %C predicts %N), but that the direction of these relationships does not always conform to expectations, especially for invertebrates. Our findings demonstrate that taxonomic identity, not trophic status or body size, is the best baseline from which to predict organismal body nutrient content.