Evidence map›Paper›PMID 34795681›Full record

ArticleFrontiers in plant science2021

Local Victory: Assessing Interspecific Competition in Seagrass From a Trait-Based Perspective.

Agustín Moreira-Saporiti, Sonia Bejarano, Inés G Viana, Elizabeth Fay Belshe, Matern S P Mtolera, Mirta Teichberg

Abstract read
In one paragraph

Article in Frontiers in plant science, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed, 1 pooled it
–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

2 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. 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

6 authors.

Agustín Moreira-SaporitiAlgae and Seagrass Ecology Group, Department of Ecology, Leibniz Centre for Tropical Marine Research, Bremen, Germany.
Sonia BejaranoReef Systems Research Group, Department of Ecology, Leibniz Centre for Tropical Marine Research, Bremen, Germany.
Inés G VianaCentro Oceanográfico de A Coruña (IEO, CSIC), A Coruña, Spain.
Elizabeth Fay BelsheAlgae and Seagrass Ecology Group, Department of Ecology, Leibniz Centre for Tropical Marine Research, Bremen, Germany.
Matern S P MtoleraInstitute of Marine Sciences, University of Dar es Salaam, Zanzibar Archipelago, Tanzania.
Mirta TeichbergAlgae and Seagrass Ecology Group, Department of Ecology, Leibniz Centre for Tropical Marine Research, Bremen, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Tropical seagrass meadows are formed by an array of seagrass species that share the same space. Species sharing the same plot are competing for resources, namely light and inorganic nutrients, which results in the capacity of some species to preempt space from others. However, the drivers behind seagrass species competition are not completely understood. In this work, we studied the competitive interactions among tropical seagrass species of Unguja Island (Zanzibar, Tanzania) using a trait-based approach. We quantified the abundance of eight seagrass species under different trophic states, and selected nine traits related to light and inorganic nutrient preemption to characterize the functional strategy of the species (leaf maximum length and width, leaves per shoot, leaf mass area, vertical rhizome length, shoots per meter of ramet, rhizome diameter, roots per meter of ramet, and root maximum length). From the seagrass abundance we calculated the probability of space preemption between pairs of seagrass species and for each individual seagrass species under the different trophic states. Species had different probabilities of space preemption, with the climax species

Indexed as

resource preemptionspace preemptiontrait-based approachtraits ordinationtropical seagrass

Identifiers

PMID34795681
PMCPMC8593471

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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.