Evidence map›Paper›PMID 32742692›Full record

ArticleRoyal Society open science2020

Mobility and its sensitivity to fitness differences determine consumer-resource distributions.

Jing Jiao, Louise Riotte-Lambert, Sergei S Pilyugin, Michael A Gil, Craig W Osenberg

Abstract read
In one paragraph

Article in Royal Society open science, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

5 authors.

Jing JiaoNIMBioS, University of Tennessee, Knoxville, TN, USA.ORCID 0000-0003-2666-6452
Louise Riotte-LambertInstitute of Biodiversity, Animal Health and Comparative Medicine, University of Glasgow, Glasgow, UK.ORCID 0000-0002-6715-9898
Sergei S PilyuginDepartment of Mathematics, University of Florida, Gainesville, FL, USA.ORCID 0000-0001-5014-2232
Michael A GilInstitute of Marine Sciences, University of California, NOAA Southwest Fisheries Science Center, Santa Cruz, CA, USA.ORCID 0000-0002-0411-8378
Craig W OsenbergOdum School of Ecology, University of Georgia, Athens, GA, USA.ORCID 0000-0003-1918-7904

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

An animal's movement rate (mobility) and its ability to perceive fitness gradients (fitness sensitivity) determine how well it can exploit resources. Previous models have examined mobility and fitness sensitivity separately and found that mobility, modelled as random movement, prevents animals from staying in high-quality patches, leading to a departure from an ideal free distribution (IFD). However, empirical work shows that animals with higher mobility can more effectively collect environmental information and better sense patch quality, especially when the environment is frequently changed by human activities. Here, we model, for the first time, this positive correlation between mobility and fitness sensitivity and measure its consequences for the populations of a consumer and its resource. In the absence of consumer demography, mobility alone had no effect on system equilibria, but a positive correlation between mobility and fitness sensitivity could produce an IFD. In the presence of consumer demography, lower levels of mobility prevented the system from approaching an IFD due to the mixing of consumers between patches. However, when positively correlated with fitness sensitivity, high mobility led to an IFD. Our study demonstrates that the expected covariation of animal movement attributes can drive broadly theorized consumer-resource patterns across space and time and could underlie the role of consumers in driving spatial heterogeneity in resource abundance.

Indexed as

demographyideal free distributionmodelmovementpatch dynamics

Identifiers

PMID32742692
PMCPMC7353973

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LicenceCC BY
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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.