Evidence map›Paper›PMID 26274613›Full record

ArticlePloS one2015

Panmictic and Clonal Evolution on a Single Patchy Resource Produces Polymorphic Foraging Guilds.

Wayne M Getz, Richard Salter, Andrew J Lyons, Nicolas Sippl-Swezey

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
7.5field-weighted citation impact, top 4% of its field
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

10 citing papers in PubMed, 33 citations in OpenAlex.

  1. Eels' individual migratory behavior stems from a complex syndrome involving cognition, behavior, physiology, and life history.Proceedings of the National Academy of Sciences of the United States of America · 2024
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  8. Adequacy of SEIR models when epidemics have spatial structure: Ebola in Sierra Leone.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2019
    Article
  9. Ecological metrics and methods for GPS movement data.International journal of geographical information science : IJGIS · 2018
    Article
  10. Article
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

4 authors at 4 institutions in 2 countries.

Wayne M GetzDept. ESPM, UC Berkeley, CA 94720-3114, United States of America; School of Mathematical Sciences, University of KwaZulu-Natal, Private Bag X54001, Durban 4000, South Africa.
Richard SalterComputer Science Dept., Oberlin College, Oberlin, Ohio, OH 44074, United States of America.
Andrew J LyonsVice Provost Office for Undergraduate Education, Stanford University, Stanford, CA 94305, United States of America.
Nicolas Sippl-SwezeyFrancis I. Proctor Foundation for Research in Ophthalmology, UC San Francisco, Box 0412, San Francisco, CA 94143-0412, United States of America.
Oberlin College · USSan Francisco Foundation · USStanford University · USUniversity of KwaZulu-Natal · ZA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We develop a stochastic, agent-based model to study how genetic traits and experiential changes in the state of agents and available resources influence individuals' foraging and movement behaviors. These behaviors are manifest as decisions on when to stay and exploit a current resource patch or move to a particular neighboring patch, based on information of the resource qualities of the patches and the anticipated level of intraspecific competition within patches. We use a genetic algorithm approach and an individual's biomass as a fitness surrogate to explore the foraging strategy diversity of evolving guilds under clonal versus hermaphroditic sexual reproduction. We first present the resource exploitation processes, movement on cellular arrays, and genetic algorithm components of the model. We then discuss their implementation on the Nova software platform. This platform seamlessly combines the dynamical systems modeling of consumer-resource interactions with agent-based modeling of individuals moving over a landscapes, using an architecture that lays transparent the following four hierarchical simulation levels: 1.) within-patch consumer-resource dynamics, 2.) within-generation movement and competition mitigation processes, 3.) across-generation evolutionary processes, and 4.) multiple runs to generate the statistics needed for comparative analyses. The focus of our analysis is on the question of how the biomass production efficiency and the diversity of guilds of foraging strategy types, exploiting resources over a patchy landscape, evolve under clonal versus random hermaphroditic sexual reproduction. Our results indicate greater biomass production efficiency under clonal reproduction only at higher population densities, and demonstrate that polymorphisms evolve and are maintained under random mating systems. The latter result questions the notion that some type of associative mating structure is needed to maintain genetic polymorphisms among individuals exploiting a common patchy resource on an otherwise spatially homogeneous landscape.

Indexed as

Clonal EvolutionAnimalsEcosystemPopulation DynamicsSoftware

Identifiers

PMID26274613
PMCPMC4537111
OpenAlexW1808295582

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.