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A new global dataset of bioclimatic indicators

This study presents a new global gridded dataset of bioclimatic indicators at 0.5° by 0.5° resolution for historical and future conditions. The dataset, called CMCC-BioClimInd, provides a set of 35 bioclimatic indices, expressed as mean values over each time interval, derived from post-processing bo...

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Detalles Bibliográficos
Autores principales: Noce, Sergio, Caporaso, Luca, Santini, Monia
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7670417/
https://www.ncbi.nlm.nih.gov/pubmed/33199736
http://dx.doi.org/10.1038/s41597-020-00726-5
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author Noce, Sergio
Caporaso, Luca
Santini, Monia
author_facet Noce, Sergio
Caporaso, Luca
Santini, Monia
author_sort Noce, Sergio
collection PubMed
description This study presents a new global gridded dataset of bioclimatic indicators at 0.5° by 0.5° resolution for historical and future conditions. The dataset, called CMCC-BioClimInd, provides a set of 35 bioclimatic indices, expressed as mean values over each time interval, derived from post-processing both climate reanalysis for historical period (1960–1999) and an ensemble of 11 bias corrected CMIP5 simulations under two greenhouse gas concentration scenarios for future climate projections along two periods (2040–2079 and 2060–2099). This new dataset complements the availability of spatialized bioclimatic information, crucial aspect in many ecological and environmental wide scale applications and for several disciplines, including forestry, biodiversity conservation, plant and landscape ecology. The data of individual indicators are publicly available for download in the commonly used Network Common Data Form 4 (NetCDF4) format.
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spelling pubmed-76704172020-11-20 A new global dataset of bioclimatic indicators Noce, Sergio Caporaso, Luca Santini, Monia Sci Data Data Descriptor This study presents a new global gridded dataset of bioclimatic indicators at 0.5° by 0.5° resolution for historical and future conditions. The dataset, called CMCC-BioClimInd, provides a set of 35 bioclimatic indices, expressed as mean values over each time interval, derived from post-processing both climate reanalysis for historical period (1960–1999) and an ensemble of 11 bias corrected CMIP5 simulations under two greenhouse gas concentration scenarios for future climate projections along two periods (2040–2079 and 2060–2099). This new dataset complements the availability of spatialized bioclimatic information, crucial aspect in many ecological and environmental wide scale applications and for several disciplines, including forestry, biodiversity conservation, plant and landscape ecology. The data of individual indicators are publicly available for download in the commonly used Network Common Data Form 4 (NetCDF4) format. Nature Publishing Group UK 2020-11-16 /pmc/articles/PMC7670417/ /pubmed/33199736 http://dx.doi.org/10.1038/s41597-020-00726-5 Text en © The Author(s) 2020 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver http://creativecommons.org/publicdomain/zero/1.0/ applies to the metadata files associated with this article.
spellingShingle Data Descriptor
Noce, Sergio
Caporaso, Luca
Santini, Monia
A new global dataset of bioclimatic indicators
title A new global dataset of bioclimatic indicators
title_full A new global dataset of bioclimatic indicators
title_fullStr A new global dataset of bioclimatic indicators
title_full_unstemmed A new global dataset of bioclimatic indicators
title_short A new global dataset of bioclimatic indicators
title_sort new global dataset of bioclimatic indicators
topic Data Descriptor
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7670417/
https://www.ncbi.nlm.nih.gov/pubmed/33199736
http://dx.doi.org/10.1038/s41597-020-00726-5
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