Cargando…
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...
Autores principales: | , , |
---|---|
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 |
_version_ | 1783610732934332416 |
---|---|
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. |
format | Online Article Text |
id | pubmed-7670417 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
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 |
work_keys_str_mv | AT nocesergio anewglobaldatasetofbioclimaticindicators AT caporasoluca anewglobaldatasetofbioclimaticindicators AT santinimonia anewglobaldatasetofbioclimaticindicators AT nocesergio newglobaldatasetofbioclimaticindicators AT caporasoluca newglobaldatasetofbioclimaticindicators AT santinimonia newglobaldatasetofbioclimaticindicators |