Evidence map›Paper›PMID 33846896›Full record

ArticleTheory in biosciences = Theorie in den Biowissenschaften2021

Optimal allocation in annual plants with density-dependent fitness.

Sergiy Koshkin, Zachary Zalles, Michael F Tobin, Nicolas Toumbacaris, Cameron Spiess

Abstract read
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In one paragraph

Article in Theory in biosciences = Theorie in den Biowissenschaften, 2021. 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
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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

5 authors.

Sergiy KoshkinUniversity of Houston-Downtown, Houston, TX, USA. koshkins@uhd.edu.ORCID http://orcid.org/0000-0001-8264-3701
Zachary ZallesRice University, Houston, TX, USA.
Michael F TobinUniversity of Houston-Downtown, Houston, TX, USA.
Nicolas ToumbacarisEmory University, Atlanta, GA, USA.
Cameron SpiessKeene State College, Keene, NH, USA.

Funding

National Science Foundation 1560401
6 · The paper itself

Abstract

We study optimal two-sector (vegetative and reproductive) allocation models of annual plants in temporally variable environments that incorporate effects of density-dependent lifetime variability and juvenile mortality in a fitness function whose expected value is maximized. Only special cases of arithmetic and geometric mean maximizers have previously been considered in the literature, and we also allow a wider range of production functions with diminishing returns. The model predicts that the time of maturity is pushed to an earlier date as the correlation between individual lifetimes increases, and while optimal schedules are bang-bang at the extremes, the transition is mediated by schedules where vegetative growth is mixed with reproduction for a wide intermediate range. The mixed growth lasts longer when the production function is less concave allowing for better leveraging of plant size when generating seeds. Analytic estimates are obtained for the power means that interpolate between arithmetic and geometric mean and correspond to partially correlated lifetime distributions.

Indexed as

Models, BiologicalPlantsReproductionSeedsAllocation scheduleBet hedgingControl-affine systemDensity dependenceDiminishing returnsEco-evolutionary feedbackEvolutionary stable strategyFitnessGraded allocationMixed growthRandom lifetimeRecruitment survivalSeed yieldSingular controlTemporal variability

Identifiers

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.