Bridging factorial and gradient concepts of resource co-limitation: Towards a general framework applied to consumers

62Citations
Citations of this article
111Readers
Mendeley users who have this article in their library.
Get full text

Abstract

Organism growth can be limited either by a single resource or by multiple resources simultaneously (co-limitation). Efforts to characterise co-limitation have generated two influential approaches. One approach uses limitation scenarios of factorial growth assays to distinguish specific types of co-limitation; the other uses growth responses spanned over a continuous, multi-dimensional resource space to characterise different types of response surfaces. Both approaches have been useful in investigating particular aspects of co-limitation, but a synthesis is needed to stimulate development of this recent research area. We address this gap by integrating the two approaches, thereby presenting a more general framework of co-limitation. We found that various factorial (co-)limitation scenarios can emerge in different response surface types based on continuous availabilities of essential or substitutable resources. We tested our conceptual co-limitation framework on data sets of published and unpublished studies examining the limitation of two herbivorous consumers in a two-dimensional resource space. The experimental data corroborate the predictions, suggesting a general applicability of our co-limitation framework to generalist consumers and potentially also to other organisms. The presented framework might give insight into mechanisms that underlie co-limitation responses and thus can be a seminal starting point for evaluating co-limitation patterns in experiments and nature. Copyright

Cite

CITATION STYLE

APA

Sperfeld, E., Raubenheimer, D., & Wacker, A. (2016, February 1). Bridging factorial and gradient concepts of resource co-limitation: Towards a general framework applied to consumers. Ecology Letters. Blackwell Publishing Ltd. https://doi.org/10.1111/ele.12554

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free