PREDICTING THE TIME OF TREE DEATH USING DENDROCHRONOLOGICAL DATA

By C. Bigler, Harald Bugmann. 2004

177 citations recorded by the source corpus.

Subfields: Atmospheric Science, Ecology, Nature and Landscape Conservation

View Paper: https://www.semanticscholar.org/paper/2fdda3c087043be2d29d54a75e6afe68b314adad

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Citations in the corpus

Using dynamic vegetation models to simulate plant range shifts (2014, background): “Although progress has been made over the past 15 yr in the statistical modeling of tree mortality (Wyckoff and Clark 2002, Bigler and Bugmann 2004, Wunder et al. 2008), the existing models do not lend themselves for integration into DVMs because their structure and parameter values appear to vary…”
From xylogenesis to tree rings: wood traits to investigate tree response to environmental changes (2019, methodology): “Classically, ring-width variables such as tree-ring width, basal area increment, relative growth trends, autocorrelation, and year-to-year variability have been used as input to develop logistic tree mortality models (Bigler & Bugmann 2004; Cailleret et al. 2016).”
Drought response and changing mean sensitivity of European beech close to the dry distribution limit (2013, result): “If radial growth patterns can be used as early indicators of mortality (Bigler and Bugmann 2004), then our results should contribute to a better projection of future growth and species composition of the lower beech ranges in Central Europe.”
Growth patterns and sensitivity to climate predict silver fir decline in the Spanish Pyrenees (2012, background): “Our findings confirm that these responses can be predicted through the description and classification of characteristic growth patterns (Pedersen 1998a; Bigler and Bugmann 2004; Bigler et al. 2006), as well as throughout inherent tree growth sensitivity to climate.”
Individual Tree and Stand Level Influences on the Growth, Vigor, and Decline of Red Oaks in the Ozarks (2008, background): “Other studies have shown that increment core data may be a valuable addition to forest inventory data (Biondi 1999, Bigler and Bugmann 2004).”
Drought as an Inciting Mortality Factor in Scots Pine Stands of the Valais, Switzerland (2006, methodology): “This was achieved by estimating the percentage of trees with a survival probability below a threshold of 0.975 (Bigler and Bugmann 2004).”
A synthesis of tree functional traits related to drought-induced mortality in forests across climatic zones (2017, background): “Dendrochronological data are accordingly suited for predicting the time of tree death (Bigler & Bugmann 2004) as they record the trees’ longterm response to declining water availability.”
Drought induced decline could portend widespread pine mortality at the xeric ecotone in managed mediterranean pine-oak woodlands (2014, background): “(4) Trees of different health status will exhibit different average growth (Gmean) or juvenile growth (here calculated for the first 40 years, G40) (Bigler and Bugmann, 2004; Bigler and Veblen, 2009).”
Increased early growth rates decrease longevities of conifers in subalpine forests (2009, background): “Sudden decreases in growth rates related to changing growth conditions generally indicate an increased probability of tree death in the short term ( Bigler and Bugmann 2004, Das et al. 2007).”
Drought induces lagged tree mortality in a subalpine forest in the Rocky Mountains (2007, background): “Sustained low and rapidly decreasing growth rates in turn are associated with increased likelihood of tree mortality (Bigler and Bugmann 2004).”
The accuracy of matrix population model projections for coniferous trees in the Sierra Nevada, California (2005, background): “Death rates could be influenced by longer-term environmental variations ( Bigler & Bugmann 2004 ), so perhaps with longer observation intervals we could improve our ability to predict this rate.”
Forest Growth and Yield Modeling (2011, background): “In temporary plots, mortality has to be reconstructed from tree cores (Bigler and Bugmann, 2004a) and/or published tree deterioration characteristics (Hann and Wang, 1990).”