Evidence map›Paper›PMID 31076581›Full record

ArticleScientific reports2019

Self-organisation in striped seagrass meadows affects the distributional pattern of the sessile bivalve Pinna nobilis.

Stefania Coppa, Giovanni Quattrocchi, Andrea Cucco, Giuseppe Andrea de Lucia, Sara Vencato, Andrea Camedda, Paolo Domenici, Alessandro Conforti, Andrea Satta, Renato Tonielli and 3 more

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2019. 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
1.2field-weighted citation impact, top 22% 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

1 citing paper in PubMed, 14 citations in OpenAlex.

  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

13 authors at 4 institutions in 1 country.

Stefania CoppaCNR - Consiglio Nazionale delle Ricerche, IAS - Istituto per lo studio degli impatti Antropici e Sostenibilità in ambiente marino, Località Sa Mardini, Torregrande, Oristano, Italy.
Giovanni QuattrocchiCNR - Consiglio Nazionale delle Ricerche, IAS - Istituto per lo studio degli impatti Antropici e Sostenibilità in ambiente marino, Località Sa Mardini, Torregrande, Oristano, Italy.
Andrea CuccoCNR - Consiglio Nazionale delle Ricerche, IAS - Istituto per lo studio degli impatti Antropici e Sostenibilità in ambiente marino, Località Sa Mardini, Torregrande, Oristano, Italy.
Giuseppe Andrea de LuciaCNR - Consiglio Nazionale delle Ricerche, IAS - Istituto per lo studio degli impatti Antropici e Sostenibilità in ambiente marino, Località Sa Mardini, Torregrande, Oristano, Italy. giuseppe.delucia@cnr.it.
Sara VencatoUniversità di Padova, Dipartimento di Biologia, Padova, Italy.
Andrea CameddaCNR - Consiglio Nazionale delle Ricerche, IAS - Istituto per lo studio degli impatti Antropici e Sostenibilità in ambiente marino, Località Sa Mardini, Torregrande, Oristano, Italy.
Paolo DomeniciCNR - Consiglio Nazionale delle Ricerche, IAS - Istituto per lo studio degli impatti Antropici e Sostenibilità in ambiente marino, Località Sa Mardini, Torregrande, Oristano, Italy.
Alessandro ConfortiCNR - Consiglio Nazionale delle Ricerche, IAS - Istituto per lo studio degli impatti Antropici e Sostenibilità in ambiente marino, Località Sa Mardini, Torregrande, Oristano, Italy.
Andrea SattaCNR - Consiglio Nazionale delle Ricerche, IAS - Istituto per lo studio degli impatti Antropici e Sostenibilità in ambiente marino, Località Sa Mardini, Torregrande, Oristano, Italy.
Renato TonielliCNR - Consiglio Nazionale delle Ricerche, ISMAR - Istituto di Scienze Marine, Napoli, Italy.
Monica BressanUniversità di Padova, Dipartimento di Biologia, Padova, Italy.
Giorgio MassaroArea marina protetta "Penisola del Sinis-Isola di Mal di Ventre", Cabras, Italy.
Giovanni De FalcoCNR - Consiglio Nazionale delle Ricerche, IAS - Istituto per lo studio degli impatti Antropici e Sostenibilità in ambiente marino, Località Sa Mardini, Torregrande, Oristano, Italy.
Institute for the Study of Anthropic Impact and Sustainability in the Marine EnvironmentNational Research Council · ITUniversity of Padua · ITInstitute of Marine Science · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Striped seagrass meadows are formed by narrow ribbons which are elevated over the seabed and separated by channels. Limited information on the genesis and development of this morphological pattern, including the adaptive responses of associated biota, is preventing holistic insight into the functioning of such protected ecosystems. This paper assessed the structural dynamics of a Posidonia oceanica striped meadow and the distribution and 3D orientation of the associated bivalve Pinna nobilis. Our analysis of the interaction between bedforms, bottom currents, and the distribution of P. nobilis revealed that the striped seascape is the result of a self-organisation process driven by feedback interactions among seagrass growth, sediment deposition, and hydrodynamics. The results suggest that the ribbon wall is the most suitable sub-habitat for this species, because it supports the highest density of P. nobilis, compared to the meadow top and bottom. Here, specimens can take advantage of the resuspension induced by hydrodynamics and open their shells towards the current, thus enhancing food intake. Therefore, our results show that self-organisation in striped seagrass meadow affects the distributional pattern of P. nobilis, providing new insights into the autoecology of this species beyond the conservation implications for its habitat.

Indexed as

AlismatalesAnimalsBivalviaEcosystemHydrodynamicsMediterranean SeaModels, Theoretical

Identifiers

PMID31076581
PMCPMC6510729
OpenAlexW2944342068

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.