2020
DOI: 10.1038/s41598-020-78933-8
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Tree rings reveal signs of Europe’s sustainable forest management long before the first historical evidence

Abstract: To satisfy the increasing demand for wood in central Europe during medieval times, a new system of forest management was developed, one far superior to simple coppicing. The adoption of a sophisticated, Coppice-with-Standards (CWS) management practice created a two-storey forest structure that could provide fuelwood as well as construction timber. Here we present a dendrochronological study of actively managed CWS forests in northern Bavaria to detect the radial growth response to cyclical understorey harvesti… Show more

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Cited by 21 publications
(17 citation statements)
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References 30 publications
(51 reference statements)
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“…The CWS dataset consisted of TRW series from northern Bavaria (Germany), sampled by Muigg et al (2020b). Stem disks were collected from two actively managed CWS forest stands near Weigenheim (WEIG) and Welbhausen (WELB).…”
Section: Study Design and Development Of Chronologiesmentioning
confidence: 99%
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“…The CWS dataset consisted of TRW series from northern Bavaria (Germany), sampled by Muigg et al (2020b). Stem disks were collected from two actively managed CWS forest stands near Weigenheim (WEIG) and Welbhausen (WELB).…”
Section: Study Design and Development Of Chronologiesmentioning
confidence: 99%
“…Stem disks were collected from two actively managed CWS forest stands near Weigenheim (WEIG) and Welbhausen (WELB). To detect signals of CWS in the individual TRW series, we first detected growth releases by using the adapted growth averaging method as described by Muigg et al (2020b). Following the methods proposed in the study by Muigg et al (2020b), we applied a standardized scanning for growth releases at an average chronological interval of 26-36 years with less than 5 years standard deviation (SD) on the TRW data from WEIG and WELB to select 135 trees that showed the strongest CWS signal (hereinafter referred to as CWS dataset).…”
Section: Study Design and Development Of Chronologiesmentioning
confidence: 99%
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