Predicting Recovery of Tanoak (Lithocarpus densiflorus) and Pacific Madrone (Arbutus menziesii) after Cutting or Burning

Weed Science ◽  
1984 ◽  
Vol 32 (3) ◽  
pp. 413-417 ◽  
Author(s):  
John C. Tappeiner ◽  
Timothy B. Harrington ◽  
John D. Walstad
Keyword(s):  
Stem Diameter ◽  
Prediction Equations ◽  
Forest Stands ◽  
Lithocarpus Densiflorus ◽  
Sprouting Capacity ◽  
Arbutus Menziesii ◽  
Pacific Madrone ◽  
Southwest Oregon ◽  
Cover Up ◽  
Diameter Distributions

The development of 157 tanoak [Lithocarpus densiflorus(Hook. and Am.) Rehd.] and 130 Pacific madrone (Arbutus menziesiiPursh) sprout-clumps 1 to 6 yr after cutting or burning was studied on a range of sites in southwest Oregon. The width and area of sprout-clumps originating from trees ≥ 2-cm stem diameter at 1.4-m height of both species was related to the size of the parent stem and time since cutting (tanoak, r2= 0.77 and 0.75; Pacific madrone, r2= 0.84 and 0.83). The sprouting capacity of tanoak develops slowly, and 5 to 6 yr after cutting, sprout-clumps produced by small tanoak 40 to 50 yr old averaged only 37 cm in diameter. Prediction equations, along with stem-diameter distributions of these species in forest stands, can be used to estimate hardwood foliar cover up to 6 yr after cutting.

Douglas Fir Release from Tanoak and Pacific Madrone Competition

Weed Science ◽  
1976 ◽  
Vol 24 (1) ◽  
pp. 144-145 ◽  
Author(s):  
S. R. Radosevich ◽  
P. C. Passof ◽  
O. A. Leonard
Keyword(s):  
Acetic Acid ◽  
Douglas Fir ◽  
Coast Range ◽  
Oregon Coast Range ◽  
Burned Areas ◽  
Lithocarpus Densiflorus ◽  
Pacific Madrone ◽  
Broadleaf Species ◽  
Southwest Oregon ◽  
Dichlorophenoxy Acetic Acid

Broadleaf species such as tanoak [Lithocarpus densiflorus (Hook. & Arn.) Rend.] and pacific madrone (Arbutus menziezii Pursh) reduced conifer growth on previously logged or burned areas of the northern California and southwest Oregon coast range. Cut-surface applications of 2,4-D [(2,4-dichlorophenoxy)acetic acid], 2,4,5-T [(2,4,5-trichlorophenoxy)acetic acid], and picloram (4-amino-3,5,6-trichloropicolinic acid) into tanoak and pacific madrone growing as overstory to Douglas fir [Pseudotsuga menziesii (Mirb.) Franco] were found to provide acceptable control for 10 years following application. Increment cores obtained from Douglas fir in treated and non-treated plots revealed substantial stem enlargement as a result of tanoak and pacific madrone control.

Predicting Crown Sizes and Diameter Distributions of Tanoak, Pacific Madrone, and Giant Chinkapin Sprout Clumps

1992 ◽  
Vol 7 (4) ◽  
pp. 103-108 ◽  
Author(s):  
Timothy B. Harrington ◽  
John C. Tappeiner ◽  
Ralph Warbington
Keyword(s):  
Goodness Of Fit ◽  
Basal Area ◽  
Diameter Distribution ◽  
Weibull Function ◽  
Regression Equations ◽  
Growing Seasons ◽  
Lithocarpus Densiflorus ◽  
Pacific Madrone ◽  
Crown Size ◽  
Diameter Distributions

Abstract Crown size and stem diameters were measured on a total of 908 sprout clumps of tanoak (Lithocarpus densiflorus), Pacific madrone (Arbutus menziesii), and giant chinkapin (Castanopsis chrysophylla). The clumps, age 1 to 16 years, were located at 23 sites in southwestern Oregon and 20 sites in northwestern California. Regression equations were developed for predicting individual-clump crown size and stem-diameter distributions of dominant sprouts from the total basal area (dm² at 1.37 m) in stems of the parent tree (PBA) and number of growing seasons since burning (AGE). Variables of PBA, AGE, and species in combination accounted for over 75% of the total variation in hardwood crown width and height and for 62% of the variation in sprout number. Variables describing site characteristics and competing vegetation abundance did not explain more than 2% of additional variation in hardwood crown size or sprout diameter distribution. On the basis of the Kolmogorov-Smirnoff test (α = 0.05), the Weibull function adequately described the reverse J-shaped distribution of stem diameters for individual sprout clumps. The goodness of fit for each of the predictive models for tanoak and madrone was verified with independent data. West. J. Appl. For. 7(4):103-108.

Weight–diameter relationships for 22 woody plant species

1969 ◽  
Vol 47 (12) ◽  
pp. 1851-1855 ◽  
Author(s):  
E. S. Telfer
Keyword(s):  
Plant Species ◽  
Woody Plants ◽  
Woody Plant ◽  
Stem Diameter ◽  
Prediction Equations ◽  
Woody Plant Species ◽  
Leaf Weight ◽  
Ground Line

Prediction equations are presented for use in estimating total aboveground weight and maximum leaf weight for 22 species of woody plants. Stem diameter at the ground line was found to be closely correlated with both total and leaf weights. This diameter was therefore used in the equations as the measurement from which weights were predicted.

A finite mixture of two Weibull distributions for modeling the diameter distributions of rotated-sigmoid, uneven-aged stands

2001 ◽  
Vol 31 (9) ◽  
pp. 1654-1659 ◽  
Author(s):  
Lianjun Zhang ◽  
Jeffrey H Gove ◽  
Chuangmin Liu ◽  
William B Leak
Keyword(s):  
Model Fitting ◽  
Mixture Distribution ◽  
Finite Mixture ◽  
Diameter Distribution ◽  
Weibull Distributions ◽  
Forest Stands ◽  
Negative Exponential Function ◽  
Diameter Frequency Distribution ◽  
Negative Exponential ◽  
Diameter Distributions

The rotated-sigmoid form is a characteristic of old-growth, uneven-aged forest stands caused by past disturbances such as cutting, fire, disease, and insect attacks. The diameter frequency distribution of the rotated-sigmoid form is bimodal with the second rounded peak in the midsized classes, rather than a smooth, steeply descending, monotonic curve. In this study a finite mixture of two Weibull distributions is used to describe the diameter distributions of the rotated-sigmoid, uneven-aged forest stands. Four example stands are selected to demonstrate model fitting and comparison. Compared with a single Weibull or negative exponential function, the finite finite mixture model is the only one that fits the diameter distributions well and produces root mean square error at least four times smaller than the other two. The results show that the finite mixture distribution is a better alternative method for modeling the diameter distribution of the rotated-sigmoid, uneven-aged forest stands.

COMPARISON OF INSECT FAUNA CAPTURED IN SIX DIFFERENT TRAP TYPES IN A DOUGLAS-FIR FOREST

1987 ◽  
Vol 119 (12) ◽  
pp. 1101-1108 ◽  
Author(s):  
Christopher L. Canaday
Keyword(s):  
Tree Species ◽  
Survey Methods ◽  
Douglas Fir ◽  
Insect Fauna ◽  
Acer Macrophyllum ◽  
Live Oak ◽  
Lithocarpus Densiflorus ◽  
Trap Location ◽  
Pacific Madrone ◽  
The Given

AbstractInsects were sampled in a Douglas-fir forest in California to evaluate differences among inexpensive survey methods. Sampling was done with sweep nets and with window, sticky, light, suspended cone, and two kinds of yellow pan traps. Also examined were effects of trap location in the given tree and the following tree species: Douglas-fir (Pseudotsuga menziesii Franco), canyon live oak (Quercus chrysolepis Liebm.), tanoak (Lithocarpus densiflorus Rehd.), Pacific madrone (Arbutus menziesii Pursh.), and big-leaf maple (Acer macrophyllum Pursh.). Relative abundance and faunistic similarity of the 9662 insects caught varied greatly by trap type and little by tree species or trap location. Family-level taxonomic richness differed among the diverse trap types, tree species, and trap locations.

Weibull diameter distributions for mixed stands of western conifers

1983 ◽  
Vol 13 (1) ◽  
pp. 85-88 ◽  
Author(s):  
Susan N. Little
Keyword(s):  
Goodness Of Fit ◽  
Test Group ◽  
Stand Age ◽  
Weibull Function ◽  
Prediction Equations ◽  
Mixed Stands ◽  
Forest Inventories ◽  
Kolmogorov Smirnov ◽  
Level Of Significance ◽  
Diameter Distributions

The three-parameter Weibull function met specified standards for goodness of fit as a model for the diameter distributions of mixed stands of western hemlock and Douglas-fir. Weibull distributions estimated by maximum likelihood (MLE) fit 80 of 83 observed diameter distributions at the α = 0.20 level of significance by the Kolmogorov–Smirnov test. Weibull parameter prediction equations were developed by regressing characteristics of 42 stands against MLE of the parameters. The Weibull diameter distributions predicted from stand age, mean diameter, mean height, and trees per acre (1 a = 100 m2) fit 39 of 41 observed distributions in the test group at the α = 0.20 level of significance. These results compared favorably with those found for various forest types by other authors. These prediction equations will prove useful in stand modeling and in updating forest inventories.

scholarly journals A percentile-based estimator for the log-logistic function: Application to forestry

2020 ◽  
Vol 72 (1) ◽  
pp. 107-120
Author(s):  
Friday Nwabueze Ogana
Keyword(s):  
Estimation Method ◽  
Tectona Grandis ◽  
Logistic Function ◽  
Growth And Yield ◽  
Estimation Methods ◽  
Diameter Distribution ◽  
Logistic Distribution ◽  
Forest Stands ◽  
Forest Modelling ◽  
Diameter Distributions

AbstractDeveloping a simplified estimation method without compromising the performance of the distribution is germane to forest modelling. Few estimation methods exist for the Log-Logistic distribution and are relatively complex. A simplified estimator for the Log-Logistic parameters will increase its application in diameter distribution yield systems. Therefore, in this study, a percentile-based estimator was applied for the Log-Logistic distribution. The Kolmogorov-Smirnov, Anderson-Darling and Cramer-von Mises statistics were used to evaluate the method in two natural forest stands and two monospecific plantations of Gmelina arborea Roxb. and Tectona grandis Linn. f. in Nigeria. The parameter recovery model (PRM) and parameter prediction model (PPM) were used to predict the diameter distributions of independent stands of G. arborea and T. grandis. The results showed that the percentile estimator did not compromise the quality of fits of the Log-Logistic function across the four forest stands and are comparable to the maximum likelihood estimator. The 25th and 75th, and 40th and 80th were the best sample percentiles for the estimator. The predicted diameter distributions of G. arborea and T. grandis stands from the PRM and PPM were reasonable and compare well with the observed distribution. Thus, either of the models can be incorporated into the growth and yield system of forest stand management.

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