Evidence map›Paper›PMID 29379113›Full record

ArticleScientific reports2018

A regional assessment of cumulative impact mapping on Mediterranean coralligenous outcrops.

S Bevilacqua, G Guarnieri, G Farella, A Terlizzi, S Fraschetti

Abstract read
In one paragraph

Article in Scientific reports, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

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

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

  1. Pooled it
  2. Article
  3. 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.

S BevilacquaDepartment of Biological and Environmental Sciences and Technologies, University of Salento, 73100, Lecce, Italy. stanislao.bevilacqua@unisalento.it.ORCID http://orcid.org/0000-0002-6417-7134
G GuarnieriDepartment of Biological and Environmental Sciences and Technologies, University of Salento, 73100, Lecce, Italy.ORCID http://orcid.org/0000-0002-7334-9030
G FarellaCNR-ISMAR - Institute of Marine Sciences, Venezia, Italy.
A TerlizziDepartment of Life Sciences, University of Trieste, 34127, Trieste, Italy.
S FraschettiDepartment of Biological and Environmental Sciences and Technologies, University of Salento, 73100, Lecce, Italy. simona.fraschetti@unisalento.it.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In the last decade, the 'Cumulative Pressure and Impact Assessment' (CPIA) approach emerged as a tool to map expected impacts on marine ecosystems. However, CPIA assumes a linear response of ecosystems to increasing level of cumulative pressure weighting sensitivity to different anthropogenic pressures through expert judgement. We applied CPIA to Mediterranean coralligenous outcrops over 1000 km of the Italian coastline. Extensive field surveys were conducted to assess the actual condition of coralligenous assemblages at varying levels of human pressure. As pressure increased, a clear shift from bioconstructors to turf-dominated assemblages was found. The linear model originally assumed for CPIA did not fit the actual relationship between expected cumulative impact versus assemblage degradation. A log-log model, instead, best fitted the data and predicted a different map of cumulative impact in the study area able to appreciate the whole range of impact scenarios. Hence, the relative importance of different drivers in explaining the observed pattern of degradation was not aligned with weights from the expert opinion. Such findings stress the need for more incisive efforts to collect empirical evidence on ecosystem-specific responses to human pressure in order to refine CPIA predictions.

Identifiers

PMID29379113
PMCPMC5789093

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.