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Open data for assessing habitats degree of conservation at plot level. An example dataset of forest structural attributes in Val d'Agri (Basilicata, Southern Italy)

Forests supply multiple ecosystem services and host a large proportion of the Earth's terrestrial biodiversity. In particular, they provide habitats for many taxonomic groups which can be threatened by forest unsustainable management practices. Type and intensity of forest management are widely...

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Detalles Bibliográficos
Autores principales: Carli, E., Casella, L., Miraglia, G., Pretto, F., Prisco, I., Caricato, G., Palma, A., Angelini, P.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9974422/
https://www.ncbi.nlm.nih.gov/pubmed/36875211
http://dx.doi.org/10.1016/j.dib.2023.108986
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author Carli, E.
Casella, L.
Miraglia, G.
Pretto, F.
Prisco, I.
Caricato, G.
Palma, A.
Angelini, P.
author_facet Carli, E.
Casella, L.
Miraglia, G.
Pretto, F.
Prisco, I.
Caricato, G.
Palma, A.
Angelini, P.
author_sort Carli, E.
collection PubMed
description Forests supply multiple ecosystem services and host a large proportion of the Earth's terrestrial biodiversity. In particular, they provide habitats for many taxonomic groups which can be threatened by forest unsustainable management practices. Type and intensity of forest management are widely recognized as the main drivers of structure and functions in forests ecosystems. However, to better understand the impacts and the benefits deriving from forest management, there is a big need to standardize procedures of field data collection and data analysis. Here, we provide a georeferenced dataset of vertical and horizontal structure of forest types belonging to 4 habitat types, sensu Council Directive 92/43/EEC. The dataset includes structural indicators commonly linked to old-growth forests in Europe, in particular the amount of standing and lying deadwood. We collected data on 32 plots (24 of 225 m(2), and 8 of 100 m(2), according to different forests type) during spring and summer of 2022, in Val d'Agri (Basilicata, Southern Italy). The dataset we provide follows the common national standard for field data collection in forest habitat types, published by ISPRA in 2016 with the aim to promote a greater homogeneity in assessment of habitat conservation status at Country and biogeographical level, as requested by the Habitats Directive.
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spelling pubmed-99744222023-03-02 Open data for assessing habitats degree of conservation at plot level. An example dataset of forest structural attributes in Val d'Agri (Basilicata, Southern Italy) Carli, E. Casella, L. Miraglia, G. Pretto, F. Prisco, I. Caricato, G. Palma, A. Angelini, P. Data Brief Data Article Forests supply multiple ecosystem services and host a large proportion of the Earth's terrestrial biodiversity. In particular, they provide habitats for many taxonomic groups which can be threatened by forest unsustainable management practices. Type and intensity of forest management are widely recognized as the main drivers of structure and functions in forests ecosystems. However, to better understand the impacts and the benefits deriving from forest management, there is a big need to standardize procedures of field data collection and data analysis. Here, we provide a georeferenced dataset of vertical and horizontal structure of forest types belonging to 4 habitat types, sensu Council Directive 92/43/EEC. The dataset includes structural indicators commonly linked to old-growth forests in Europe, in particular the amount of standing and lying deadwood. We collected data on 32 plots (24 of 225 m(2), and 8 of 100 m(2), according to different forests type) during spring and summer of 2022, in Val d'Agri (Basilicata, Southern Italy). The dataset we provide follows the common national standard for field data collection in forest habitat types, published by ISPRA in 2016 with the aim to promote a greater homogeneity in assessment of habitat conservation status at Country and biogeographical level, as requested by the Habitats Directive. Elsevier 2023-02-16 /pmc/articles/PMC9974422/ /pubmed/36875211 http://dx.doi.org/10.1016/j.dib.2023.108986 Text en © 2023 The Authors 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
Carli, E.
Casella, L.
Miraglia, G.
Pretto, F.
Prisco, I.
Caricato, G.
Palma, A.
Angelini, P.
Open data for assessing habitats degree of conservation at plot level. An example dataset of forest structural attributes in Val d'Agri (Basilicata, Southern Italy)
title Open data for assessing habitats degree of conservation at plot level. An example dataset of forest structural attributes in Val d'Agri (Basilicata, Southern Italy)
title_full Open data for assessing habitats degree of conservation at plot level. An example dataset of forest structural attributes in Val d'Agri (Basilicata, Southern Italy)
title_fullStr Open data for assessing habitats degree of conservation at plot level. An example dataset of forest structural attributes in Val d'Agri (Basilicata, Southern Italy)
title_full_unstemmed Open data for assessing habitats degree of conservation at plot level. An example dataset of forest structural attributes in Val d'Agri (Basilicata, Southern Italy)
title_short Open data for assessing habitats degree of conservation at plot level. An example dataset of forest structural attributes in Val d'Agri (Basilicata, Southern Italy)
title_sort open data for assessing habitats degree of conservation at plot level. an example dataset of forest structural attributes in val d'agri (basilicata, southern italy)
topic Data Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9974422/
https://www.ncbi.nlm.nih.gov/pubmed/36875211
http://dx.doi.org/10.1016/j.dib.2023.108986
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