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.

ClimCKmap, a spatially, temporally and climatically explicit distribution database for the Italian fauna / S. Marta, M. Brunetti, G.F. Ficetola, F. Stoch, G. Amori, D. Cesaroni, V. Sbordoni, A. Provenzale. - In: SCIENTIFIC DATA. - ISSN 2052-4463. - 6:1(2019 Oct), pp. 195.1-195.6. [10.1038/s41597-019-0203-6]

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

S. Marta
Primo
Writing – Original Draft Preparation
;
G.F. Ficetola
Writing – Review & Editing
;
2019

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.
Settore BIO/05 - Zoologia
Settore BIO/07 - Ecologia
Settore GEO/12 - Oceanografia e Fisica dell'Atmosfera
   Reconstructing community dynamics and ecosystem functioning after glacial retreat (IceCommunities)
   IceCommunities
   EUROPEAN COMMISSION
   H2020
   772284
ott-2019
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/2434/698796
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