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European primary forest database v2.0

Authors: Sabatini, Francesco Maria; Bluhm, Hendrik; Kun, Zoltan; Aksenov, Dmitry; Atauri, José A.; Buchwald, Erik; Burrascano, Sabina; +39 Authors

European primary forest database v2.0

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.

Keywords

Statistics and Probability, 570, Data Descriptor, Conservation of Natural Resources, Databases, Factual, Landsat satellite, Science, 577, Library and Information Sciences, Forests, Education, Primary forests, [SDV.EE]Life Sciences [q-bio]/Ecology, database, info:eu-repo/classification/ddc/577, European primary forest, ddc:577, ddc:550, Conservation biology, Q, Forestry, Biodiversity, 550 Geowissenschaften, Computer Science Applications, Europe, [SDV.EE] Life Sciences [q-bio]/Ecology, environment, climate change, Databases, Factual; Europe; Conservation of Natural Resources; Forests, ddc:570, Statistics, Probability and Uncertainty, Forest ecology, environment, Information Systems

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This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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influence
This indicator 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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impulse
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