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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.

Countries
Germany, Bulgaria, Italy, Bulgaria, France, Germany
Keywords

Statistics and Probability, 570, Data Descriptor, Conservation of Natural Resources, Databases, Factual, Science, 577, 910, Library and Information Sciences, Forests, Education, [SDV.EE]Life Sciences [q-bio]/Ecology, database, European primary forest, [SDV.EE]Life Sciences [q-bio]/Ecology, environment, ddc:577, 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, ddc: ddc:550

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citations
This is an alternative to the "Influence" indicator, which also 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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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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