Evidence map›Paper›PMID 36279302›Full record

ArticlePLoS computational biology2022

Understanding the impact of third-party species on pairwise coexistence.

Jie Deng, Washington Taylor, Serguei Saavedra

Abstract read
In one paragraph

Article in PLoS computational biology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Article
  2. A practical guide to characterising ecological coexistence.Biological reviews of the Cambridge Philosophical Society · 2026
    Review
  3. Review
  4. Review
  5. Hypernetwork modeling and topology of high-order interactions for complex systems.Proceedings of the National Academy of Sciences of the United States of America · 2024
    Article
  6. Learning beyond-pairwise interactions enables the bottom-up prediction of microbial community structure.Proceedings of the National Academy of Sciences of the United States of America · 2024
    Article
  7. Structured community transitions explain the switching capacity of microbial systems.Proceedings of the National Academy of Sciences of the United States of America · 2024
    Article
  8. Assembly archetypes in ecological communities.Journal of the Royal Society, Interface · 2023
    Article
  9. Rapid monitoring of ecological persistence.Proceedings of the National Academy of Sciences of the United States of America · 2023
    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

3 authors.

Jie DengDepartment of Civil and Environmental Engineering, MIT, Cambridge, Massachusetts, United States of America.ORCID 0000-0002-0604-7884
Washington TaylorCenter for Theoretical Physics, MIT, Cambridge, Cambridge, Massachusetts, United States of America.
Serguei SaavedraDepartment of Civil and Environmental Engineering, MIT, Cambridge, Massachusetts, United States of America.ORCID 0000-0003-1768-363X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The persistence of virtually every single species depends on both the presence of other species and the specific environmental conditions in a given location. Because in natural settings many of these conditions are unknown, research has been centered on finding the fraction of possible conditions (probability) leading to species coexistence. The focus has been on the persistence probability of an entire multispecies community (formed of either two or more species). However, the methodological and philosophical question has always been whether we can observe the entire community and, if not, what the conditions are under which an observed subset of the community can persist as part of a larger multispecies system. Here, we derive long-term (using analytical calculations) and short-term (using simulations and experimental data) system-level indicators of the effect of third-party species on the coexistence probability of a pair (or subset) of species under unknown environmental conditions. We demonstrate that the fraction of conditions incompatible with the possible coexistence of a pair of species tends to become vanishingly small within systems of increasing numbers of species. Yet, the probability of pairwise coexistence in isolation remains approximately the expected probability of pairwise coexistence in more diverse assemblages. In addition, we found that when third-party species tend to reduce (resp. increase) the coexistence probability of a pair, they tend to exhibit slower (resp. faster) rates of competitive exclusion. Long-term and short-term effects of the remaining third-party species on all possible specific pairs in a system are not equally distributed, but these differences can be mapped and anticipated under environmental uncertainty.

Indexed as

EcosystemModels, BiologicalProbability

Identifiers

PMID36279302
PMCPMC9632822

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.