Evidence map›Paper›PMID 31594943›Full record

ArticleScientific data2019

ClimCKmap, a spatially, temporally and climatically explicit distribution database for the Italian fauna.

Silvio Marta, Michele Brunetti, Gentile Francesco Ficetola, Fabio Stoch, Giovanni Amori, Donatella Cesaroni, Valerio Sbordoni, Antonello Provenzale

Abstract readDataset
In one paragraph

Article in Scientific data, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. 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. Article
  2. 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

8 authors.

Silvio MartaDepartment of Environmental Science and Policy, University of Milan, Via G. Celoria 26, 20133, Milan, Italy. silvio.marta@hotmail.it.ORCID http://orcid.org/0000-0001-8850-610X
Michele BrunettiInstitute of Atmospheric Sciences and Climate, ISAC-CNR, 40129, Bologna, Italy.
Gentile Francesco FicetolaDepartment of Environmental Science and Policy, University of Milan, Via G. Celoria 26, 20133, Milan, Italy.ORCID http://orcid.org/0000-0003-3414-5155
Fabio StochEvolutionary Biology & Ecology - C.P. 160/12, Université Libre de Bruxelles, Avenue F.D. Roosevelt 50, B-1050, Brussels, Belgium.
Giovanni AmoriInstitute of Research on Terrestrial Ecosystems, IRET-CNR, Viale dell'Università 32, 00185, Rome, Italy.
Donatella CesaroniDepartment of Biology, University of Rome 'Tor Vergata', Via della Ricerca Scientifica, 00133, Rome, Italy.
Valerio SbordoniDepartment of Biology, University of Rome 'Tor Vergata', Via della Ricerca Scientifica, 00133, Rome, Italy.
Antonello ProvenzaleInstitute of Geosciences and Earth Resources, IGG-CNR, National Research Council, 56124, Pisa, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Understanding and counteracting biodiversity losses requires quantitative knowledge on species distribution and abundance across space and time, as well as integrated and interoperable information on climate conditions and climatic changes. In this paper we developed a new biodiversity-climate database for Italy, ClimCKmap, based on the critical analysis, quality estimation and subsequent integration of the CKmap database with several high-resolution climate datasets. The original database was quality-checked for errors in toponym, species name and dating; the retained records were georeferenced and their distribution polygonised via Voronoi tessellation. We then integrated the species distribution information with several high-resolution climatic datasets: average monthly minimum and maximum temperature and total monthly precipitation were reconstructed for each Voronoi cell and year. The resulting database contains 268,977 occurrence records from 8,445 binomials and 16,332 localities, dating between 1680 and 2006 CE. This dataset, fully available at https://doi.org/10.6084/m9.figshare.7906739.v4 and http://hdl.handle.net/21.11125/a91f85cb-befd-4e14-8e83-24f17c4a0491 , represents the largest, fully quality-checked, spatially, temporally and climatically explicit distribution database ever assembled for the Italian fauna, now ready for scientific exploitation.

Indexed as

BiodiversityBiotaAnimalsClimateItalySpatio-Temporal Analysis

Identifiers

PMID31594943
PMCPMC6783616

What OpenQuestion holds

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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.