Weak dynamical threshold for the “strict homeostasis” assumption in ecological stoichiometry

Hao Wang, Zexian Lu and Aditya Raghavan

Ecological Modelling, 2018, vol. 384, issue C, 233-240

Abstract: “Stoichiometric homeostasis” is the degree to which organisms maintain a constant chemical composition in the face of variations in the chemical composition and availability of their environmental resources. Most stoichiometric models have assumed constant nutrient contents in heterotrophs, called “strict homeostasis”, and varied nutrient contents in autotrophs, called “non-homeostasis”, due to the fact that the stoichiometric variability of heterotrophs is often much less than that of autotrophs. The study for the hard dynamical threshold under sufficient light in Wang et al. (2012) suggested that the “strict homeostasis” assumption is reasonable when the stoichiometric variability of herbivores is less than the hard dynamical threshold. In this paper, we explore the light-dependent case that results in homoclinic and heteroclinic bifurcations, from which we obtain the weak dynamical threshold, which is normally larger than the hard dynamical threshold. With the weak dynamical threshold, the “strict homeostasis” assumption is more likely valid, which further confirms the conclusion that strict homeostasis of herbivores can be assumed for most herbivores. Homoclinic/heteroclinic bifurcations are not only exciting dynamics in mathematics but also important indicators for the robustness of empirical studies. Experimental results are highly sensitive when homoclinic or heteroclinic orbits occur.

Keywords: Ecological stoichiometry; Strict homeostasis; Weak dynamical threshold; Stoichiometric variability; Homoclinic/heteroclinic; Paradox of enrichment (search for similar items in EconPapers)
Date: 2018
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0304380018302321
Full text for ScienceDirect subscribers only

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:eee:ecomod:v:384:y:2018:i:c:p:233-240

DOI: 10.1016/j.ecolmodel.2018.06.027

Access Statistics for this article

Ecological Modelling is currently edited by Brian D. Fath

More articles in Ecological Modelling from Elsevier
Bibliographic data for series maintained by Catherine Liu ().