Evidence map›Paper›PMID 32547786›Full record

ArticleEvolution letters2020

Loss of consumers constrains phenotypic evolution in the resulting food web.

Matthew A Barbour, Christopher J Greyson-Gaito, Arezoo Sotoodeh, Brendan Locke, Jordi Bascompte

Abstract read
In one paragraph

Article in Evolution letters, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
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.

Matthew A BarbourDepartment of Evolutionary Biology and Environmental Studies University of Zurich Zurich 8057 ZH Switzerland.ORCID https://orcid.org/0000-0001-7686-0400
Christopher J Greyson-GaitoDepartment of Zoology University of British Columbia Vancouver BC V6T 1Z4 Canada.ORCID https://orcid.org/0000-0001-8716-0290
Arezoo SotoodehDepartment of Zoology University of British Columbia Vancouver BC V6T 1Z4 Canada.
Brendan LockeDepartment of Biological Sciences Humboldt State University Arcata California 95521.
Jordi BascompteDepartment of Evolutionary Biology and Environmental Studies University of Zurich Zurich 8057 ZH Switzerland.ORCID https://orcid.org/0000-0002-0108-6411

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The loss of biodiversity is altering the structure of ecological networks; however, we are currently in a poor position to predict how these altered communities will affect the evolution of remaining populations. Theory on fitness landscapes provides a framework for predicting how selection alters the evolutionary trajectory and adaptive potential of populations, but often treats the network of interacting populations as a "black box." Here, we integrate ecological networks and fitness landscapes to examine how changes in food-web structure shape phenotypic evolution. We conducted a field experiment that removed a guild of larval parasitoids that imposed direct and indirect selection pressures on an insect herbivore. We then measured herbivore survival as a function of three key phenotypic traits to estimate directional, quadratic, and correlational selection gradients in each treatment. We used these selection gradients to characterize the slope and curvature of the fitness landscape to understand the direct and indirect effects of consumer loss on phenotypic evolution. We found that the number of traits under directional selection increased with the removal of larval parasitoids, indicating evolution was more constrained toward a specific combination of traits. Similarly, we found that the removal of larval parasitoids altered the curvature of the fitness landscape in such a way that tended to decrease the evolvability of the traits we measured in the next generation. Our results suggest that the loss of trophic interactions can impose greater constraints on phenotypic evolution. This indicates that the simplification of ecological communities may constrain the adaptive potential of remaining populations to future environmental change.

Indexed as

Adaptive landscapecommunity contexteco‐evolutionary dynamicsecological networksextinctionfitness landscapehost–parasitoidnatural selection

Identifiers

PMID32547786
PMCPMC7293086

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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.