Climatic Sensitivities Derived from Tree Rings Improve Predictions of the Forest Vegetation Simulator Growth and Yield Model

2022 ◽  
Author(s):  
Courtney Lyn Giebink ◽  
Robert Justin DeRose ◽  
Mark Castle ◽  
John D. Shaw ◽  
Margaret E. K. Evans
Keyword(s):  
Tree Rings ◽  
Forest Vegetation ◽  
Growth And Yield ◽  
Forest Vegetation Simulator ◽  
Yield Model ◽  
Growth And Yield Model

A Growth and Yield Model for Improved Eastern Cottonwood Plantations in the Lower Mississippi Delta

1991 ◽  
Vol 15 (4) ◽  
pp. 213-216 ◽  
Author(s):  
Quang V. Cao ◽  
Kenneth M. Durand
Keyword(s):  
Populus Deltoides ◽  
Mississippi Delta ◽  
Basal Area ◽  
Site Index ◽  
Growth And Yield ◽  
Annual Increment ◽  
Yield Model ◽  
Eastern Cottonwood ◽  
Volume Yield ◽  
Growth And Yield Model

Abstract A compatible growth and yield model was developed based on remeasurement data collected from 183 plots on unthinned improved eastern cottonwood (Populus deltoides Bartr.) plantations in the lower Mississippi Delta. The Sullivan and Clutter (1972) equation form was selected for predicting cubic-foot volume yield and projecting volume from site index and initial age and basal area. Yield equations explained 97% and 94%, respectively, of the variations in total outside bark and merchantable inside bark volumes. Mean annual increment of merchantable volume culminated between 8 and 15 years, depending on site index and initial basal area. South. J. Appl. For. 15(4):213-216.

scholarly journals Assessing the Applicability of Growth Models to New Species and Regions: An Example Comparing Mediterranean Maritime Pine in Central Spain to Ponderosa Pine in Southwestern Oregon, USA

2007 ◽  
Vol 22 (4) ◽  
pp. 269-277
Author(s):  
D. Pascual ◽  
D.A. Maguire ◽  
F. Bravo
Keyword(s):  
Growth Model ◽  
Pinus Ponderosa ◽  
Ponderosa Pine ◽  
Maritime Pine ◽  
Growth And Yield ◽  
Diameter Growth ◽  
Growth Equation ◽  
Similar Species ◽  
Yield Model ◽  
Growth And Yield Model

Abstract Evaluations of response to variable silvicultural treatments play a key role in developing sustainable forest management. To evaluate silvicultural response, a growth and yield model is needed. A comparison between similar species could act as a logical first step toward building a growth and yield model and to test the efficiency of the calibration of an existing ponderosa pine (Pinus ponderosa Dougl. ex Laws.) growth model to a Mediterranean maritime pine (Pinus pinaster Ait. ssp. mesogeensis) growth model. This study aimed at (1) comparing the diameter growth pattern between ponderosa and Mediterranean maritime pine, and (2) assessing the potential of ORGANON for simulating Mediterranean maritime pine growth and yield. The first objective was addressed by fitting a diameter growth equation for Mediterranean maritime pine and comparing it with patterns in ponderosa pine growth represented by the corresponding equation in ORGANON. The second objective was addressed by growing Mediterranean maritime pine as ponderosa pine in ORGANON, conditional on observed diameter growth rates of Mediterranean maritime pine in Spain. The results emphasized the unsuitability of ORGANON for predicting diameter growth of Mediterranean maritime pine in Spain. Mediterranean maritime pine diameter growth depended on basal area in trees with a diameter larger than the subject tree, (BAL) which, in our context is a subrogate of competition from above.

Predicted Genetic Gains from one Generation of Slash Pine Tree Improvement

1989 ◽  
Vol 13 (1) ◽  
pp. 51-56 ◽  
Author(s):  
G. R. Hodge ◽  
T. L. White ◽  
G. L. Powell ◽  
S. M. De Souza
Keyword(s):  
First Generation ◽  
Pinus Elliottii ◽  
Tree Improvement ◽  
Slash Pine ◽  
Growth And Yield ◽  
Yield Model ◽  
Individual Tree ◽  
Fusiform Rust ◽  
Pine Tree ◽  
Growth And Yield Model

Abstract Gains over unimproved seed for progeny from first generation--un-rogued, first generation--rogued, and one and one-half generation orchards of slash pine (Pinus elliottii var. elliottii) for individual tree volume at 15 years are predicted to be 10%, 15%, and 19%, respectively. Rustinfection of orchard progeny on sites where unimproved material incurs 50% infection are predicted to be 49%, 41%, and 35% for the three orchard types. Using a growth and yield model that incorporates fusiform rust, gains in individual tree volume and increased rust resistance were combinedto estimate effects on per acre yields. Percent volume per acre gains are predicted to be 7.0%, 13.2%, and 18.0% for the three orchard types. Collection and deployment of the most rust resistant seed to high rust hazard sites raises the gain on these sites and becomes increasingly beneficialas the rust hazard increases. South. J. Appl. For. 13(1): 51-56.

Compatible basal-area growth and yield model for thinned and unthinned stands

1984 ◽  
Vol 14 (2) ◽  
pp. 295-295
Author(s):  
Robert L. Bailey ◽  
Kenneth D. Ware
Keyword(s):  
Basal Area ◽  
Growth And Yield ◽  
Yield Model ◽  
Basal Area Growth ◽  
Area Growth ◽  
Growth And Yield Model

not available

Incorporating genetic parameters into a loblolly pine growth-and-yield model

2006 ◽  
Vol 36 (8) ◽  
pp. 1959-1967 ◽  
Author(s):  
Joshua P Adams ◽  
Thomas G Matney ◽  
Samuel B Land Jr. ◽  
Keith L Belli ◽  
Howard W Duzan Jr.
Keyword(s):  
North Carolina ◽  
Loblolly Pine ◽  
Site Index ◽  
Growth And Yield ◽  
Yield Model ◽  
Stand Volume ◽  
Regression Functions ◽  
Sib Families ◽  
Growth And Yield Model ◽  
Pinus Taeda L

Differences in survival, diameter, height (site index), and stem profile among eight North Carolina half-sib families and one Mississippi–Alabama commercial check of loblolly pine (Pinus taeda L.) at three spacings over 17 years were evaluated for effects on a growth-and-yield model. Actual stand volume at age 17 was determined from a 100% measurement of all trees. This volume was compared with predicted volumes from age nine measurements using (i) the unmodified model and (ii) the model after modifications for family differences. Modifications to the model included family-specific site indices for height differences and family-specific regression functions for each of the other traits. The unmodified model resulted in an underestimate of actual stand volume by 31%. Adjustments for family differences in dominant height (site index), survival, or profile had little effect on this bias. Insertion of family-specific regressions for stem profile and site index in combination with survival-diameter density effects greatly reduced the bias and provided the best estimates of future stand volumes.

scholarly journals Growth and yield model for the elm-ash-cottonwood type in Indiana.

1982 ◽  
Author(s):  
Stephen R. Shifley ◽  
John W. Jr. Moser ◽  
Kenneth M. Brown
Keyword(s):  
Growth And Yield ◽  
Yield Model ◽  
Growth And Yield Model
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