Tree growth inference and prediction from diameter censuses and ring widths

James S. Clark; Michael Wolosin; Michael Dietze; Ines Ibanez; Shannon LaDeau; Miranda Welsh; Brian Kloeppel

doi:10.1890/06-1039.1

Treesearch

Tree growth inference and prediction from diameter censuses and ring widths

Informally Refereed

Authors:

James S. Clark, Michael Wolosin, Michael Dietze, Ines Ibanez, Shannon LaDeau, Miranda Welsh, Brian Kloeppel

Year:

2007

Type:

Scientific Journal

Station:

Southern Research Station

DOI:

https://doi.org/10.1890/06-1039.1

Source:

Ecological Applications Journal 17(7), 2007, pp. 1942?1953

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Abstract

Knowledge of tree growth is needed to understand population dynamics (Condit et al. 1993, Fastie 1995, Frelich and Reich 1995, Clark and Clark 1999, Wyckoff and Clark 2002, 2005, Webster and Lorimer 2005), species interactions (Swetnam and Lynch 1993), carbon sequestration (DeLucia et al. 1999, Casperson et al. 2000), forest response to climate change (Cook 1987, Graumlich et al. 1989), and restoration (Pearson and Vitousek 2001).

Keywords

Bayesian state space model, data assimilation, forest growth, hierarchical models, observation error, tree rings

Citation

Clark, James S.; Wolosin, Michael; Dietze, Michael; Ibanez, Ines; LaDeau, Shannon; Welsh, Miranda; Kloeppel, Brian. 2007. Tree growth inference and prediction from diameter censuses and ring widths. Ecological Applications Journal 17(7), 2007, pp. 1942?1953