Evidence map›Paper›PMID 35190672›Full record

ArticleScientific reports2022

Prediction, validation, and uncertainties of a nation-wide post-fire soil erosion risk assessment in Portugal.

J Parente, A Girona-García, A R Lopes, J J Keizer, D C S Vieira

Abstract read
In one paragraph

Article in Scientific reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

J ParenteCentre for Environmental and Marine Studies (CESAM), Department of Environment and Planning, University of Aveiro, 3810-193, Aveiro, Portugal.
A Girona-GarcíaCentre for Environmental and Marine Studies (CESAM), Department of Environment and Planning, University of Aveiro, 3810-193, Aveiro, Portugal.
A R LopesCentre for Environmental and Marine Studies (CESAM), Department of Environment and Planning, University of Aveiro, 3810-193, Aveiro, Portugal.
J J KeizerCentre for Environmental and Marine Studies (CESAM), Department of Environment and Planning, University of Aveiro, 3810-193, Aveiro, Portugal.
D C S VieiraEuropean Commission, Joint Research Centre (JRC), Ispra, Italy. diana.simoes-vieira@ec.europa.eu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Wildfires are a recurrent and increasing threat in mainland Portugal, where over 4.5 million hectares of forests and scrublands have burned over the last 38 years. These fire-affected landscapes have suffered an intensification of soil erosion processes, which can negatively affect soil carbon storage, reduce fertility and forest productivity, and can become a source of pollutants. The main objective of the present study is to produce a post-fire soil erosion risk map for the forest and shrubland areas in mainland Portugal and assess its reliability. To this end, the semi-empirical Morgan-Morgan-Finney erosion model was used to assess the potential post-fire soil erosion according to distinct burn severity and climate scenarios, and the accuracy of the predictions was verified by an uncertainty analysis and validated against independent field datasets. The proposed approach successfully allowed mapping post-fire soil erosion in Portugal and identified the areas with higher post-fire erosion risk for past and future climate extremes. The outcomes of this study comprise a set of tools to help forest managers in their decision-making for post-fire emergency stabilization, ensuring the adequate selection of areas for mitigation to minimize the economic and environmental losses caused by fire-enhanced soil erosion.

Identifiers

PMID35190672
PMCPMC8861048

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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.