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Dataset . 2018
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Data sources: Datacite
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ZENODO
Dataset . 2018
License: CC BY SA
Data sources: Datacite
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
ZENODO
Dataset . 2018
License: CC BY SA
Data sources: ZENODO
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Forest deadwood in Europe

Authors: Puletti, Nicola; Canullo, Roberto; Mattioli, Walter; Gawrys, Radosław; Corona, Piermaria; Czerepko, Janusz;

Forest deadwood in Europe

Abstract

This dataset considers information from 3,243 ICP-Forests Level I plots collected between 2006 and 2008 in 19 European Countries: France, Belgium, Germany, Italy, United Kingdom, Ireland, Denmark, Spain, Sweden, Austria, Finland, Hungary, Poland, Slovak Republic, Lithuania, Czech Republic, Slovenia, Latvia, Cyprus. The dataset provides standardized estimates of deadwood volume distinguished in five different deadwood components: standing and lying dead trees, snags, coarse woody debris, and stumps. The data allowed a traditional set of forest parameters to be extracted and that may be used to build relationship with other forest attributes, both quantitative and qualitative, to strength the knowledge of forest structure, diversity and species interactions naturally occurring in European forests. To the best of our knowledge it is the first dataset reporting measurements on deadwood at such large spatial scale in forest stands in Europe.

Country
Italy
Keywords

deadwood decay classes, stand age, ICP-Forests programme, stand management, forest monitoring, European Forest Types

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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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