A spatially-explicit database of tree-related microhabitats in Europe and beyond.

Europe TreMs biodiversity spatially explicit tree species

Journal

Biodiversity data journal
ISSN: 1314-2828
Titre abrégé: Biodivers Data J
Pays: Bulgaria
ID NLM: 101619899

Informations de publication

Date de publication:
2022
Historique:
received: 11 08 2022
accepted: 15 09 2022
entrez: 10 2 2023
pubmed: 11 2 2023
medline: 11 2 2023
Statut: epublish

Résumé

Tree to tree interactions are important structuring mechanisms for forest community dynamics. Forest management takes advantage of competition effects on tree growth by removing or retaining trees to achieve management goals. Both competition and silviculture have, thus, a strong effect on density and distribution of tree related microhabitats which are key features for forest taxa at the stand scale. In particular, spatially-explicit data to understand patterns and mechanisms of tree-related microhabitats formation in forest stands are rare. To train and eventually improve decision-making capacities related to the integration of biodiversity aspects into forest management plot of one hectare, so called marteloscopes were established in the frame of the 'European Integrate Network'. In each plot, a set of data is collected at the individual tree level and stored in a database, the 'I+ repository'. The 'I+ repository' is a centralised online database which serves for maintaining the data of all marteloscope plots. A subset of this repository was made publicly available via the Global Biodiversity Information Facility, based on a data-sharing policy. Data included are tree location in plot, tree species, forest mensuration data (diameter at breast height [cm], tree height [m]), tree status (living or standing dead) and tree-related microhabitats. Further, a visual assessment of timber quality classes is performed in order to provide an estimate of the economic value (market price) for each tree. This information is not part of the GBIF dataset. Currently 42,078 individual tree observations from 111 plots are made available via the Global Biodiversity Information Facility (GBIF). As the network of plots continues to expand, so does the database of tree-related microhabitats. Therefore, the database will undergo a regular update. The current version has a temporal coverage from March 2014 to December 2020. The innovation of this unique dataset is that it is based on a commonly agreed catalogue of tree microhabitats as a field reference list when assessing assessment protocol. The reference list is available in 17 languages and, thus, helps to guarantee compatibility of tree-related microhabitat assessments across countries and plots.

Sections du résumé

Background UNASSIGNED
Tree to tree interactions are important structuring mechanisms for forest community dynamics. Forest management takes advantage of competition effects on tree growth by removing or retaining trees to achieve management goals. Both competition and silviculture have, thus, a strong effect on density and distribution of tree related microhabitats which are key features for forest taxa at the stand scale. In particular, spatially-explicit data to understand patterns and mechanisms of tree-related microhabitats formation in forest stands are rare. To train and eventually improve decision-making capacities related to the integration of biodiversity aspects into forest management plot of one hectare, so called marteloscopes were established in the frame of the 'European Integrate Network'. In each plot, a set of data is collected at the individual tree level and stored in a database, the 'I+ repository'. The 'I+ repository' is a centralised online database which serves for maintaining the data of all marteloscope plots. A subset of this repository was made publicly available via the Global Biodiversity Information Facility, based on a data-sharing policy. Data included are tree location in plot, tree species, forest mensuration data (diameter at breast height [cm], tree height [m]), tree status (living or standing dead) and tree-related microhabitats. Further, a visual assessment of timber quality classes is performed in order to provide an estimate of the economic value (market price) for each tree. This information is not part of the GBIF dataset.
New information UNASSIGNED
Currently 42,078 individual tree observations from 111 plots are made available via the Global Biodiversity Information Facility (GBIF). As the network of plots continues to expand, so does the database of tree-related microhabitats. Therefore, the database will undergo a regular update. The current version has a temporal coverage from March 2014 to December 2020. The innovation of this unique dataset is that it is based on a commonly agreed catalogue of tree microhabitats as a field reference list when assessing assessment protocol. The reference list is available in 17 languages and, thus, helps to guarantee compatibility of tree-related microhabitat assessments across countries and plots.

Identifiants

pubmed: 36761561
doi: 10.3897/BDJ.10.e91385
pii: 91385
pmc: PMC9836569
doi:

Types de publication

Journal Article

Langues

eng

Pagination

e91385

Informations de copyright

Sergey Zudin, Wilfried Heintz, Daniel Kraus, Frank Krumm, Laurent Larrieu, Andreas Schuck.

Références

Science. 2001 Oct 26;294(5543):804-8
pubmed: 11679658
Oecologia. 2001 Feb;126(3):363-370
pubmed: 28547450
Monogr Popul Biol. 1982;17:1-296
pubmed: 7162524
Proc Natl Acad Sci U S A. 1999 Feb 16;96(4):1463-8
pubmed: 9990046

Auteurs

Sergey Zudin (S)

European Forest Institute, Joensuu, Finland European Forest Institute Joensuu Finland.

Wilfried Heintz (W)

INRAE, UMR Dynafor, Castanet-Tolosan, France INRAE, UMR Dynafor Castanet-Tolosan France.
INP Toulouse, ENSAT, EI Purpan, Toulouse, France INP Toulouse, ENSAT, EI Purpan Toulouse France.

Daniel Kraus (D)

Bavarian State Forest, Neureichenau, Germany Bavarian State Forest Neureichenau Germany.

Frank Krumm (F)

Swiss Federal Institute for Forest, Snow and Landscape Research, Brimensdorf, Switzerland Swiss Federal Institute for Forest, Snow and Landscape Research Brimensdorf Switzerland.

Laurent Larrieu (L)

Université de Toulouse, INRAE, UMR Dynafor, Castanet-Tolosan, France Université de Toulouse, INRAE, UMR Dynafor Castanet-Tolosan France.
5CNPF-CRPF Occitanie, Toulouse, France 5CNPF-CRPF Occitanie Toulouse France.

Andreas Schuck (A)

European Forest Institute, Joensuu, Finland European Forest Institute Joensuu Finland.

Classifications MeSH