Predicting tree mortality from diameter growth : a comparison of maximum likelihood and Bayesian approaches
By Pete Wyckoff, James S. Clark. 2000
132 citations recorded by the source corpus.
Subfields: Global and Planetary Change, Mechanics of Materials, Nature and Landscape Conservation
View Paper: https://www.semanticscholar.org/paper/d80a95217a6438cab7c2ede4dfd3ae3fd271508b
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Global and Planetary Change
- C. Bigler
- John A. Kershaw
- Jerome K. Vanclay
- Aaron Weiskittel
- D. Hann
- James S. Clark
- Harald Bugmann
- Jesús Julio Camarero
In Mechanics of Materials
- C. Bigler
- Harald Bugmann
- Pete Wyckoff
- James S. Clark
- Jerome K. Vanclay
- Aaron Weiskittel
- John A. Kershaw
- D. Hann
In Nature and Landscape Conservation
- James S. Clark
- C. Bigler
- Jerome K. Vanclay
- John A. Kershaw
- Harald Bugmann
- J. Linares
- Aaron Weiskittel
- D. Hann
Citations in the corpus
- Competition modulates the adaptation capacity of forests to climatic stress: insights from recent growth decline and death in relict stands of the Mediterranean fir Abies pinsapo (2010, background): “Several studies have shown that mortality rates are inversely related to radial-growth rates (Wyckoff & Clark 2000; Bigler 2003; vanMantgem et al. 2003).”
- Growth, mortality, and morphological response of European beech and downy oak along a light gradient in sub-Mediterranean forest (2005, methodology): “For this purpose, we used the Bayesian method developed by Wyckoff and Clark (2000). The prior density of θ is specified as a beta density:”
- Growth-dependent tree mortality models based on tree rings (2003, methodology): “A distinctly different approach is used in individual-based models, which tend to include characteristics such as tree growth rates, size, and competitive status (e.g., Dursky 1997; Dobbertin and Biging 1998; Zhang et al. 1997; Wyckoff and Clark 2000).”
- The relationship between growth and mortality for seven co‐occurring tree species in the southern Appalachian Mountains (2002, methodology): “We have developed and compared several statistical methods for estimating probability of mortality from growth rate (Wyckoff & Clark 2000) whose application is now tested for seven important tree species in the southern Appalachian Mountains.”
- High‐dimensional coexistence based on individual variation: a synthesis of evidence (2010, methodology): “The survival model is nonparametric, allowing increase in mortality risk with decreasing growth rate (a composite index of vigor; Kobe 1996, Wyckoff and Clark 2000) and with increasing diameter (Platt et al. 1988, Batista et al. 1998, Uriarte et al. 2004) and strong nonlinearities in these…”
- Tree mortality in a Pinus sylvestris dominated boreal forest landscape in Vienansalo wilderness, eastern Fennoscandia (2002, background): “Although part of tree mortality is predictable, e.g. on the basis of self-thinning regularities (Westoby 1984) and decreased diameter growth (Wyckoff and Clark 2000), much of the mortality is episodic and irregular and hence diffi cult to predict.”
- Forest Growth and Yield Modeling (2011, methodology): “Diameter increment and tree basal area increment, either predicted or measured, are used as a covariate in several mortality equations (Monserud, 1976; Buchman et al., 1983; Hamilton, 1986; Wyckoff and Clark, 2000; Yao et al., 2001; Pretzsch et al., 2002).”
- Sapling size influences shade tolerance ranking among southern boreal tree species (2006, methodology): “1995; Kobe 1996; Kobe & Coates 1997), Bayesian methods (Wyckoff & Clark 2000, 2002) and survival analysis (Lin et al .”
- Growth patterns and sensitivity to climate predict silver fir decline in the Spanish Pyrenees (2012, background): “Several studies have shown that tree defoliation, mean radial growth and radial growth trends are, to some extent, inversely related (Buchman et al. 1983; Kobe and Coates 1997; Wyckoff and Clark 2000; van Mantgem et al. 2003).”