Evidence map›Paper›PMID 35437645›Full record

ArticleEnvironmental monitoring and assessment2022

Toward a spatially explicit analysis of land vulnerability to degradation: a country-level approach supporting policy strategies.

Gianluca Egidi, Leonardo Bianchini, Sirio Cividino, Giovanni Quaranta, Rosanna Salvia, Pavel Cudlin, Luca Salvati

Abstract read
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In one paragraph

Article in Environmental monitoring and assessment, 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

7 authors.

Gianluca EgidiDepartment of Agricultural and Forest Science (DAFNE), University of Tuscia, Via S. Camillo De Lellis snc, 01100, Viterbo, Italy.
Leonardo BianchiniDepartment of Agricultural and Forest Science (DAFNE), University of Tuscia, Via S. Camillo De Lellis snc, 01100, Viterbo, Italy.
Sirio CividinoDepartment of Agriculture, University of Udine, Via del Cotonificio 114, 33100, Udine, Italy.
Giovanni QuarantaDepartment of Mathematics, Computer Science and Economics, University of Basilicata, Viale dell'Ateneo Lucano, 85100, Potenza, Italy.
Rosanna SalviaDepartment of Mathematics, Computer Science and Economics, University of Basilicata, Viale dell'Ateneo Lucano, 85100, Potenza, Italy.
Pavel CudlinGlobal Change Research Institute CAS, Lipova 9, 37005, Ceske Budejovice, Czech Republic.
Luca SalvatiDepartment of Methods and Models for Economics, Territory and Finance (MEMOTEF), Faculty of Economics, Sapienza University of Rome, Via del Castro Laurenziano 9, 00161, Rome, Italy. luca.salvati@unimc.it.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Vulnerability to land degradation in Mediterranean Europe increased substantially in the last decades because of the latent interplay of climate and land-use change, progressive soil deterioration, and rising human pressure. The present study provides a quantitative evaluation of the intrinsic change over time in the level of vulnerability to land degradation over a representative Mediterranean area (Italy) using a normative indicator, the percentage of land classified as 'critical' in total area. This indicator derives from a spatially explicit elaboration of the ESA (Environmental Sensitive Area) Index (ESAI), a standard methodology of land classification considering different levels of vulnerability to degradation at a particularly refined spatial scale (1 km

Indexed as

Conservation of Natural ResourcesEnvironmental MonitoringClimateHumansPolicySoilSoilCritical areaDesertification riskIndicatorsLand classificationMediterranean basinNational action plan

Identifiers

PMID35437645

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.