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Harmonised statistics and maps of forest biomass and increment in Europe

Authors :
Valerio Avitabile
Roberto Pilli
Mirco Migliavacca
Gregory Duveiller
Andrea Camia
Viorel Blujdea
Radim Adolt
Iciar Alberdi
Susana Barreiro
Susann Bender
Dragan Borota
Michal Bosela
Olivier Bouriaud
Johannes Breidenbach
Isabel Cañellas
Jura Čavlović
Antoine Colin
Lucio Di Cosmo
Janis Donis
Christoph Fischer
Alexandra Freudenschuss
Jonas Fridman
Patrizia Gasparini
Thomas Gschwantner
Laura Hernández
Kari Korhonen
Gintaras Kulbokas
Vivian Kvist
Nicolas Latte
Andis Lazdins
Philippe Lejeune
Kristaps Makovskis
Gheorghe Marin
Jan Maslo
Artur Michorczyk
Marcin Mionskowski
François Morneau
Marcin Myszkowski
Kinga Nagy
Mats Nilsson
Thomas Nord-Larsen
Damjan Pantic
Jerôme Perin
John Redmond
Maria Rizzo
Vladimír Šebeň
Mitja Skudnik
Arnor Snorrason
Radosław Sroga
Todor Stoyanov
Arvid Svensson
Andrzej Talarczyk
Sander Teeuwen
Esther Thürig
José Uva
Sarah Mubareka
Source :
Scientific Data, Vol 11, Iss 1, Pp 1-17 (2024)
Publication Year :
2024
Publisher :
Nature Portfolio, 2024.

Abstract

Abstract Forest biomass is an essential resource in relation to the green transition and its assessment is key for the sustainable management of forest resources. Here, we present a forest biomass dataset for Europe based on the best available inventory and satellite data, with a higher level of harmonisation and spatial resolution than other existing data. This database provides statistics and maps of the forest area, biomass stock and their share available for wood supply in the year 2020, and statistics on gross and net volume increment in 2010–2020, for 38 European countries. The statistics of most countries are available at a sub-national scale and are derived from National Forest Inventory data, harmonised using common reference definitions and estimation methodology, and updated to a common year using a modelling approach. For those counties without harmonised statistics, data were derived from the State of Europe’s Forest 2020 Report at the national scale. The maps are coherent with the statistics and depict the spatial distribution of the forest variables at 100 m resolution.

Subjects

Subjects :
Science

Details

Language :
English
ISSN :
20524463
Volume :
11
Issue :
1
Database :
Directory of Open Access Journals
Journal :
Scientific Data
Publication Type :
Academic Journal
Accession number :
edsdoj.2648889f18f646bbb6dbbab881b38af9
Document Type :
article
Full Text :
https://doi.org/10.1038/s41597-023-02868-8