Evidence map›Paper›PMID 41361159›Full record

ReviewOecologia2025

Nonlinear thinking in ecology and evolution: applying the threshold elemental ratio across levels of ecological organization.

Benjamin B Tumolo, Carly R Olson, Erin I Larson, Halvor M Halvorson, Catherine E Wagner, Amy C Krist, Felicia S Osburn, Eric K Moody, Linnea A Rock, Uchechukwu V C Ogbenna and 4 more

Abstract readReview
In one paragraph

Review in Oecologia, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

14 authors.

Benjamin B Tumolo *Department of Zoology and Physiology, Program in Ecology and Evolution, University of Wyoming, Laramie, WY, USA. bbtumolo@gmail.com.ORCID http://orcid.org/0000-0001-7605-9314
Carly R Olson *School of Natural Resources, University of Nebraska-Lincoln, Lincoln, NE, USA.
Erin I LarsonAlaska Center for Conservation Science, University of Alaska Anchorage, Anchorage, AK, USA.
Halvor M HalvorsonDepartment of Biology, University of Central Arkansas, Conway, AR, USA.
Catherine E WagnerDepartment of Botany, Program in Ecology and Evolution, University of Wyoming, Laramie, WY, USA.
Amy C KristDepartment of Zoology and Physiology, Program in Ecology and Evolution, University of Wyoming, Laramie, WY, USA.
Felicia S OsburnDepartment of Biology, University of Central Arkansas, Conway, AR, USA.
Eric K MoodyDepartment of Biology, Middlebury College, Middlebury, VT, USA.
Linnea A RockDepartment of Zoology and Physiology, Program in Ecology and Evolution, University of Wyoming, Laramie, WY, USA.
Uchechukwu V C OgbennaSchool of Natural Resources, University of Nebraska-Lincoln, Lincoln, NE, USA.
Eli N WessDepartment of Biology, University of Central Arkansas, Conway, AR, USA.
Briante NajevDepartment of Biology, University of Iowa, Iowa City, IA, USA.
Anthony J PignatelliDepartment of Biological Sciences, University of South Carolina, Columbia, SC, USA.
Jessica R CormanSchool of Natural Resources, University of Nebraska-Lincoln, Lincoln, NE, USA.

Funding

National Science Foundation OIA-2019596
6 · The paper itself

Abstract

Nonlinear dynamics govern ecological processes; thus, understanding thresholds is important for measuring and forecasting the effects of climate change and management of natural resources. However, identifying whether and how such thresholds transfer across ecological levels of organization remains challenging. We argue for a broadening of a foundational organismal concept from ecological stoichiometry theory, the threshold elemental ratio (TER), to study how nonlinear dynamics driven by shifts in limitation operate in evolutionary and ecological processes from organisms to ecosystems. Traditionally, TERs are used to describe the elemental ratio at which the limitation of organismal growth shifts from one element to another. Building on this definition, we make a case for broadening the TER beyond organisms to include populations, clades, communities, and ecosystems. We discuss how TERs may be detected and translated across different ecological levels and evolutionary processes through simulation modeling, literature review, and synthesis of empirical examples from diverse systems and scales including: cyanotoxin production in lakes, alder-salmon dynamics, and the Cambrian explosion. Collectively, we argue that TERs are likely widespread and consequential across levels of ecological organization and that such thresholds manifest from a diversity of mechanisms. Thus, applying the TER concept across ecological levels of organization holds promise for advancing our understanding of nonlinear dynamics from the micro-evolutionary to the macro-ecological.

Indexed as

Biological EvolutionEcologyEcosystemNonlinear DynamicsClimate ChangeBiogeochemistryEcological stoichiometryEcological thresholdEvolutionary thresholdSpatiotemporal scale

Identifiers

PMID41361159
PMCPMC12686070

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.