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A review of habitat thresholds for dead wood: a baseline for management recommendations in European forests

Content Provider	Springer Nature Link
Author	Müller, Jörg Bütler, Rita
Copyright Year	2010
Abstract	In contemporary forest management, also of commercial forests, threshold values are widely used for consideration of biodiversity conservation. Here, we present various aspects of dead-wood threshold values. We review published and unpublished dead-wood threshold data from European lowland beech–oak, mixed-montane, and boreo-alpine spruce–pine forests separately to provide managers of European forests with a baseline for management decisions for their specific forest type. Our review of dead-wood threshold data from European forests revealed 36 critical values with ranges of 10–80 m3 ha−1 for boreal and lowland forests and 10–150 m3 ha−1 for mixed-montane forests, with peak values at 20–30 m3 ha−1 for boreal coniferous forests, 30–40 m3 ha−1 for mixed-montane forests, and 30–50 m3 ha−1 for lowland oak–beech forests. We then expand the focus of dead-wood threshold analyses to community composition. We exemplify the two major statistical methods applied in ecological threshold analysis to stimulate forest researchers to analyze more of their own data with a focus on thresholds. Finally, we discuss further directions of dead-wood threshold analysis. We anticipate that further investigations of threshold values will provide a more comprehensive picture of critical ranges for dead wood, which is urgently needed for an ecological and sustainable forestry.
Starting Page	981
Ending Page	992
Page Count	12
File Format	PDF
ISSN	16124669
Journal	Forstwissenschaftliches Centralblatt vereinigt mit Tharandter forstliches Jahrbuch
Volume Number	129
Issue Number	6
e-ISSN	16124677
Language	English
Publisher	Springer-Verlag
Publisher Date	2010-06-19
Publisher Place	Berlin, Heidelberg
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Thresholds Conditional inference tree Maximally selected rank statistic Logistic regression Bootstrapping Variable selection Plant Ecology Plant Sciences Forestry
Content Type	Text
Resource Type	Article
Subject	Plant Science Forestry

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