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An open and georeferenced dataset of forest structural attributes and microhabitats in central and southern Apennines (Italy)

Forests cover 30% of the Earth's landmass, host 80% of the biodiversity on land, and represent one of the main sinks of carbon. Studying forest ecosystems and dynamics is more crucial than ever now that the climate is changing. On the other hand, forest structural attributes and microhabitats d...

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Detalles Bibliográficos
Autores principales: Parisi, Francesco, Francini, Saverio, Borghi, Costanza, Chirici, Gherardo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9289852/
https://www.ncbi.nlm.nih.gov/pubmed/35859783
http://dx.doi.org/10.1016/j.dib.2022.108445
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author Parisi, Francesco
Francini, Saverio
Borghi, Costanza
Chirici, Gherardo
author_facet Parisi, Francesco
Francini, Saverio
Borghi, Costanza
Chirici, Gherardo
author_sort Parisi, Francesco
collection PubMed
description Forests cover 30% of the Earth's landmass, host 80% of the biodiversity on land, and represent one of the main sinks of carbon. Studying forest ecosystems and dynamics is more crucial than ever now that the climate is changing. On the other hand, forest structural attributes and microhabitats data acquisition is challenging, and require huge efforts. Here we provide a georeferenced dataset of living trees, deadwood, and microhabitats referring to 199 plots (13 m radius), collected between 2012 and 2018, and located over six Apennine mountainous forest types across Italy. The dataset we provide promotes collaboration among researchers and improves the possibilities to analyze the evolution of forest ecosystems.
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spelling pubmed-92898522022-07-19 An open and georeferenced dataset of forest structural attributes and microhabitats in central and southern Apennines (Italy) Parisi, Francesco Francini, Saverio Borghi, Costanza Chirici, Gherardo Data Brief Data Article Forests cover 30% of the Earth's landmass, host 80% of the biodiversity on land, and represent one of the main sinks of carbon. Studying forest ecosystems and dynamics is more crucial than ever now that the climate is changing. On the other hand, forest structural attributes and microhabitats data acquisition is challenging, and require huge efforts. Here we provide a georeferenced dataset of living trees, deadwood, and microhabitats referring to 199 plots (13 m radius), collected between 2012 and 2018, and located over six Apennine mountainous forest types across Italy. The dataset we provide promotes collaboration among researchers and improves the possibilities to analyze the evolution of forest ecosystems. Elsevier 2022-07-08 /pmc/articles/PMC9289852/ /pubmed/35859783 http://dx.doi.org/10.1016/j.dib.2022.108445 Text en © 2022 The Author(s) https://creativecommons.org/licenses/by/4.0/This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Data Article
Parisi, Francesco
Francini, Saverio
Borghi, Costanza
Chirici, Gherardo
An open and georeferenced dataset of forest structural attributes and microhabitats in central and southern Apennines (Italy)
title An open and georeferenced dataset of forest structural attributes and microhabitats in central and southern Apennines (Italy)
title_full An open and georeferenced dataset of forest structural attributes and microhabitats in central and southern Apennines (Italy)
title_fullStr An open and georeferenced dataset of forest structural attributes and microhabitats in central and southern Apennines (Italy)
title_full_unstemmed An open and georeferenced dataset of forest structural attributes and microhabitats in central and southern Apennines (Italy)
title_short An open and georeferenced dataset of forest structural attributes and microhabitats in central and southern Apennines (Italy)
title_sort open and georeferenced dataset of forest structural attributes and microhabitats in central and southern apennines (italy)
topic Data Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9289852/
https://www.ncbi.nlm.nih.gov/pubmed/35859783
http://dx.doi.org/10.1016/j.dib.2022.108445
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