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.

Forest deadwood in Europe

Roberto Canullo;
2018-01-01

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.
2018
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11581/430093
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