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Stem form responses to differing areas of weed control around planted Douglas-fir trees Robin Rose, Douglas A. Maguire, and Scott Ketchum Department of.

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Presentation on theme: "Stem form responses to differing areas of weed control around planted Douglas-fir trees Robin Rose, Douglas A. Maguire, and Scott Ketchum Department of."— Presentation transcript:

1 Stem form responses to differing areas of weed control around planted Douglas-fir trees Robin Rose, Douglas A. Maguire, and Scott Ketchum Department of Forest Science Oregon State University

2 Introduction Discerning differences in stem form and volume among silvicultural treatments.

3 Introduction DBH and height respond to control of competing vegetation. Consequently stem volume also responds to vegetation control.

4 Introduction As trees develop under intensive management: Form differs from a cone (  /12)D 2 H, Trees large enough for existing volume or taper equations.

5 Introduction Application of volume and taper equations: Regional development; May not include intensively managed stands; Averages lose subtle differences;

6 Introduction Volume and taper equations: Most are functions of only DBH and HT. Consequences: Insufficient for detecting treatment differences.

7 One solution Measure upper stem diameters. Assess existing volume or taper equations. Develop new site-specific equations.

8 Past work Upper stem measurements were made at sites near Marcola and Summit: Fit Kozak’s variable-exponent taper equation: Tested parameters across treatments; No treatment effect was found.

9 Past work Compared empirical volumes to Bruce and DeMars (1974) volume estimates. Bias increased with progressively more weed control.

10 Past work Compared volumes to a cone Control: Cone underpredict volume, Trees more parabolic. Weed control: Cone overpredicts volume, Tree more neiloid.

11 Objective Compare upper stem measurements to those predicted by Jim Flewelling’s taper system.

12 Methods Sites Summit, OR: Central region of the Oregon Coast Range. Marcola, OR: Western Cascade Mountain foothills.

13 Summit Marcola

14 Methods Experimental design Completely randomized design, 8 treatments, 3 replicates, Plot area = 0.112 ac, 49 seedlings planted at 9.8 ft square spacing.

15 Methods Treatments No herbicide, 4 ft 2 full control, 16 ft 2 full control, 36 ft 2 full control, 64 ft 2 full control, 100 ft 2 full control, 100 ft 2 woody vegetation control, 100 ft 2 herbaceous vegetation control.

16 1-ft 2-ft 3-ft 4-ft 5-ft 4 ft 2 64 ft 2 16 ft 2 36 ft 2 100 ft 2

17 Methods Diameter outside bark was collected at tree base, breast height, 8 ft, and every 4 ft above 8 ft. Observed DOB’s were compared to those predicted by Flewelling system. Consistent bias – inferences unaffected Changing bias – inferences questionable

18 Results Average differences: Summit: DOB overpredicted Across most of stem profile Marcola: Low at upper and lower stem positions. High at middle stem positions.

19

20 Results Averages by treatment: General overprediction over stem profile Largest overpredictions: Upper stem positions Greater for more intensive control

21 100 0 4

22 Discussion If Flewelling predictions are regional averages: More intensive weed control Narrower upper stem profiles. Less intensive weed control Slightly narrower lower stem profiles.

23 Results Treatment differences by site: Marcola: Underpredicts near base (greater weed control); Underpredicts near top; Overpredict near middle of tree.

24 100 0 4

25 Results Treatment differences by site: Summit: Overpredicts over entire stem profile; Overpredictions increase with greater weed control.

26 100 4 0

27 Conclusions Biases in predicted DOB’s are small. Systematic bias among treatments. Bias the estimated effects of treatments on stem profiles. Formal statistical analyses on implications are continuing.


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