1. Harmonised statistics and maps of forest biomass and increment in Europe
- Author
-
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, and Sarah Mubareka
- Subjects
Science - 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.
- Published
- 2024
- Full Text
- View/download PDF