Foliar nutrient and tree growth response of mixed-conifer stands to three fertilization treatments in northeast Oregon and north central Washington

2000 ◽  
Vol 132 (2-3) ◽  
pp. 183-198 ◽  
Author(s):  
Mariann T. Garrison ◽  
James A. Moore ◽  
Terry M. Shaw ◽  
Peter G. Mika
Keyword(s):  
Tree Growth ◽  
Growth Response ◽  
Mixed Conifer ◽  
North Central ◽  
Foliar Nutrient

scholarly journals Thinning, tree-growth, and resistance to multi-year drought in a mixed-conifer forest of northern California

2018 ◽  
Vol 422 ◽  
pp. 190-198 ◽  
Author(s):  
Michael J. Vernon ◽  
Rosemary L. Sherriff ◽  
Phillip van Mantgem ◽  
Jeffrey M. Kane
Keyword(s):  
Tree Growth ◽  
Northern California ◽  
Conifer Forest ◽  
Mixed Conifer ◽  
Mixed Conifer Forest

scholarly journals Insights into the BRT (Boosted Regression Trees) Method in the Study of the Climate-Growth Relationship of Masson Pine in Subtropical China

Forests ◽  
2019 ◽  
Vol 10 (3) ◽  
pp. 228 ◽  
Author(s):  
Hongliang Gu ◽  
Jian Wang ◽  
Lijuan Ma ◽  
Zhiyuan Shang ◽  
Qipeng Zhang
Keyword(s):  
Tree Growth ◽  
General Circulation ◽  
Growth Response ◽  
Circulation Model ◽  
Regression Trees ◽  
Pinus Massoniana ◽  
Boosted Regression Trees ◽  
Climate Factors ◽  
Masson Pine ◽  
Hydroclimatic Variability

Dendroclimatology and dendroecology have entered mainstream dendrochronology research in subtropical and tropical areas. Our study focused on the use of the chronology series of Masson pine (Pinus massoniana Lamb.), the most widely distributed tree species in the subtropical wet monsoon climate regions in China, to understand the tree growth response to ecological and hydroclimatic variability. The boosted regression trees (BRT) model, a nonlinear machine learning method, was used to explore the complex relationship between tree-ring growth and climate factors on a larger spatial scale. The common pattern of an asymptotic growth response to the climate indicated that the climate-growth relationship may be linear until a certain threshold. Once beyond this threshold, tree growth will be insensitive to some climate factors, after which a nonlinear relationship may occur. Spring and autumn climate factors are important controls of tree growth in most study areas. General circulation model (GCM) projections of future climates suggest that warming climates, especially temperatures in excess of those of the optimum growth threshold (as estimated by BRT), will be particularly threatening to the adaptation of Masson pine.

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