European primary forest database v2.0
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Published:2021-08-17
Issue:1
Volume:8
Page:
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ISSN:2052-4463
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Container-title:Scientific Data
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language:en
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Short-container-title:Sci Data
Author:
Sabatini Francesco MariaORCID, Bluhm Hendrik, Kun Zoltan, Aksenov Dmitry, Atauri José A., Buchwald Erik, Burrascano Sabina, Cateau Eugénie, Diku Abdulla, Duarte Inês MarquesORCID, Fernández López Ángel B., Garbarino MatteoORCID, Grigoriadis Nikolaos, Horváth FerencORCID, Keren SrđanORCID, Kitenberga Mara, Kiš AlenORCID, Kraut Ann, Ibisch Pierre L.ORCID, Larrieu Laurent, Lombardi Fabio, Matovic Bratislav, Melu Radu Nicolae, Meyer Peter, Midteng Rein, Mikac StjepanORCID, Mikoláš Martin, Mozgeris GintautasORCID, Panayotov MomchilORCID, Pisek Rok, Nunes LeóniaORCID, Ruete AlejandroORCID, Schickhofer Matthias, Simovski BojanORCID, Stillhard JonasORCID, Stojanovic Dejan, Szwagrzyk Jerzy, Tikkanen Olli-Pekka, Toromani Elvin, Volosyanchuk RomanORCID, Vrška Tomáš, Waldherr Marcus, Yermokhin Maxim, Zlatanov TzvetanORCID, Zagidullina AsiyaORCID, Kuemmerle Tobias
Abstract
AbstractPrimary forests, defined here as forests where the signs of human impacts, if any, are strongly blurred due to decades without forest management, are scarce in Europe and continue to disappear. Despite these losses, we know little about where these forests occur. Here, we present a comprehensive geodatabase and map of Europe’s known primary forests. Our geodatabase harmonizes 48 different, mostly field-based datasets of primary forests, and contains 18,411 individual patches (41.1 Mha) spread across 33 countries. When available, we provide information on each patch (name, location, naturalness, extent and dominant tree species) and the surrounding landscape (biogeographical regions, protection status, potential natural vegetation, current forest extent). Using Landsat satellite-image time series (1985–2018) we checked each patch for possible disturbance events since primary forests were identified, resulting in 94% of patches free of significant disturbances in the last 30 years. Although knowledge gaps remain, ours is the most comprehensive dataset on primary forests in Europe, and will be useful for ecological studies, and conservation planning to safeguard these unique forests.
Funder
EC | Horizon 2020 Framework Programme Zoologische Gesellschaft Frankfurt
Publisher
Springer Science and Business Media LLC
Subject
Library and Information Sciences,Statistics, Probability and Uncertainty,Computer Science Applications,Education,Information Systems,Statistics and Probability
Reference95 articles.
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