2020
DOI: 10.1002/eap.2189
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Quantifying natural disturbances using a large‐scale dendrochronological reconstruction to guide forest management

Abstract: Estimates of historical disturbance patterns are essential to guide forest management aimed at ensuring the sustainability of ecosystem functions and biodiversity. However, quantitative estimates of various disturbance characteristics required in management applications are rare in longer-term historical studies. Thus, our objectives were to (1) quantify past disturbance severity, patch size, and stand proportion disturbed and (2) test for temporal and subregional differences in these characteristics. We devel… Show more

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Cited by 33 publications
(35 citation statements)
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References 38 publications
(120 reference statements)
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“…There was a higher probability of finding old trees on plots with a lower maximum severity of plot-level disturbance, or where the maximum severity event occurred further back in time. These findings are not at all surprising given that both the beech-and spruce-dominated primary forests studied here experience a disturbance regime characterized by relatively frequent moderate-severity, partial canopy disturbances that are likely to remove susceptible individuals (i.e., large, old trees) in the canopy layer (Nagel et al, 2014;Čada et al, 2020;Frankovič et al, 2020).…”
Section: Discussionmentioning
confidence: 73%
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“…There was a higher probability of finding old trees on plots with a lower maximum severity of plot-level disturbance, or where the maximum severity event occurred further back in time. These findings are not at all surprising given that both the beech-and spruce-dominated primary forests studied here experience a disturbance regime characterized by relatively frequent moderate-severity, partial canopy disturbances that are likely to remove susceptible individuals (i.e., large, old trees) in the canopy layer (Nagel et al, 2014;Čada et al, 2020;Frankovič et al, 2020).…”
Section: Discussionmentioning
confidence: 73%
“…Radial growth patterns of increment cores were analyzed for evidence of past disturbance events within each plot. Quantitative reconstructions of disturbance histories for different regions of the larger data set used here have been published previously (Standovár & Kenderes, 2003;Svoboda et al, 2014;Trotsiuk et al, 2014;Janda et al, 2017;Meigs et al, 2017;Nagel et al, 2017;Schurman et al, 2018;Janda et al, 2019;Schurman, Babst, Björklund, et al, 2019;Čada et al, 2020;Frankovič et al, 2020), and provide detailed descriptions of dendroecological methods. We therefore only briefly summarize the methods used to reconstruct disturbance below.…”
Section: For Spruce)mentioning
confidence: 99%
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“…These two drivers of wind form a cline of disturbance size across Europe with large‐scale disturbance being common in Western Europe (e.g., France and Germany) and smaller‐scale disturbance more common in Southeastern Europe (e.g., Slovenia to Montenegro) coincident with the prevalence of intense windstorms in the west (Bett et al., 2017) and intense convective instability in the southeast (Brooks et al., 2003; Taszarek et al., 2019). Based on disturbance reconstructions from the Carpathian Mountains at the border of Central and Eastern Europe, most disturbances are smaller scale (<10 ha; Čada et al., 2020) and thus, if large‐scale cyclones are driving windthrow dynamics in these forests, some moderator of wind is increasing forest resistance to large‐scale disturbance. Otherwise, it may be that small‐scale convective instability is at least partially responsible for the smaller disturbance patch size there, just as it is in Southeastern Europe.…”
Section: Introductionmentioning
confidence: 99%
“…The recent increase in strength of cyclones, usually in winter, has led some researchers to suggests that cyclone‐induced windstorms are increasing the frequency and severity of windthrow disturbance events (Schelhaas et al., 2003; Usbeck et al., 2010). However, although intense wind prevalence has increased (Figure 1), an increasing disturbance trend is not apparent in disturbance reconstructions from primary and old‐growth forests of Central or Eastern Europe (Čada et al., 2020; Firm et al., 2009; Schurman et al., 2018; Zielonka et al., 2010).…”
Section: Introductionmentioning
confidence: 99%