Evidence map›Paper›PMID 33585979›Full record

ArticleInternational journal of biometeorology2021

Bioclimatic pattern in a Mediterranean mountain area: assessment from a classification approach on a regional scale.

Mauirizio Cutini, Marzialetti Flavio, Barbato Giuliana, Rianna Guido, Theurillat Jean-Paul

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In one paragraph

Article in International journal of biometeorology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Range Dynamics of the MossPlants (Basel, Switzerland) · 2025
    Article
  2. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors.

Mauirizio CutiniDepartment of Science, University of Roma Tre, Rome, Italy.ORCID https://orcid.org/0000-0002-8597-8221
Marzialetti FlavioEnviX-Lab. Dipartimento di Bioscienze e Territorio, Universita' degli studi del Molise, Pesche-Isernia, Italy. flavio.marzialetti@unimol.it.
Barbato GiulianaREMHI Regional Models and Geo-Hydrological Impacts Research Division, CMCC Foundation Euro-Mediterranean Center on Climate Change, Capua, CE, Italy.
Rianna GuidoREMHI Regional Models and Geo-Hydrological Impacts Research Division, CMCC Foundation Euro-Mediterranean Center on Climate Change, Capua, CE, Italy.ORCID https://orcid.org/0000-0003-0956-4243
Theurillat Jean-PaulCentre Alpien de Phytogéographie, Fondation J.-M. Aubert, Champex-Lac, Switzerland & Department of Botany and Plant Biology, Section of Biology, University of Geneva, Chambésy, Geneva, Switzerland.ORCID https://orcid.org/0000-0002-1843-5809

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The present work analyses the main weather patterns over the period 1981-2010 in the Central Apennines (Italy), drawing upon data from 23 monitoring stations spanning a wide elevation range (260-1750 m asl). Cluster analysis was used to identify homogeneous units and to verify the effectiveness of the bioclimatic classification by crossing the results derived from the application of hierarchical and non-hierarchical classification techniques. The results reveal a diversified picture of five clusters that depends on several factors as elevation, the geographic position within or outside the mountainous range, and the regional morphological traits. Although Mediterranean and Temperate climatic features coexist, the Mediterranean pattern in the southern areas and internal valleys better expresses the overall mixed characteristics of Central Italy. The use of a mixed methodology of hierarchic and partitioning methods of cluster analysis improves the bioclimatic classification, especially to quantify the level of humidity and the mediterraneity degree.

Indexed as

WeatherHumidityItalyBioclimatic classificationBioclimatic indicesBioclimatologyCentral ApennineClimate changeSummer drought and sub-drought

Identifiers

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.