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Evaluation of sampling alternatives to quantify riparian areas of Western Oregon Forests

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Title: Evaluation of sampling alternatives to quantify riparian areas of Western Oregon Forests


1
Evaluation of sampling alternatives to quantify
riparian areas of Western Oregon Forests
  • Theresa Marquardt
  • June 19, 2007

2
OUTLINE
  • Introduction
  • Objectives
  • Methods
  • Sampling Alternatives
  • Analysis Methods
  • Preliminary Results

3
Background
  • B.S. Forest Management
  • Oregon State University, 2005
  • M.S. Forest Biometrics
  • Oregon State University
  • expected August 2007

4
Introduction
5
Density Management Study
  • The (DMS) began in 1994
  • BLM
  • Pacific Northwest Research Station (PNW)
  • US Geological Survey (USGS)
  • Oregon State University (OSU)

6
Cissel et. al. (2006)
7
Objectives of the DMS
  • Evaluate effects of forest density
  • management treatments in 4080
  • year-old stands for the development of
  • late-successional attributes
  • (Cissel et. Al. 2006).
  • Assess the effects of density management and
    alternative riparian buffer widths on aquatic and
    riparian ecosystems
  • (Cissel et. Al. 2006).

8
Sites Completed
9
Site Attributes Densities
  • Tree Density
  • Control 200-350 Trees per Acre (TPA).
  • Moderate density
  • 60-65 of the stand thinned
  • Approximately 80 TPA.

10
Site Attributes Buffers
  • One and two Site Potential Tree Height Buffers
    (SPTH)
  • Measured in slope distance from the stream
  • Based on the 50 year site index height of trees
    for each site.
  • The one SPTH is 73 m and two SPTH is 146 m (Bruce
    1981).

11
Site Attributes Buffers
  • Variable Width Buffer
  • Buffer width of at least 50 feet (15.24 m)
  • Buffer Width Fluctuates
  • Sensitive Areas
  • Landslide
  • Threatened Species

12
Objectives
13
Objective 1
  • Examine the accuracy and suitability of selected
    sampling methods to quantify forest structure and
    diversity, which can be used for future
    monitoring of riparian areas.

14
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15
Objective 2 and 3
  • Examine relationships between arrangement of
    forest structure and microclimate and micro-site
    attributes.
  • Influence of tree density, slope, and aspect on
    microclimate in riparian areas of western Oregon.

16
Objectives 2 and 3 (Cont.)
17
Vegetation, Microclimate LICOR
  • Percent cover 1 m2 for shrubs (lt1.4 m, 1.4m to
    3m, gt 3m), forbs, ferns and seedlings.
  • Species presence and absence 2 m2 plots.
  • Two transects with 3m spaced plots and three
    transects with 10m spacings.
  • GPSE 301-203 made by AR Harris
  • LICOR LAI-2000

18
Methods
19
Methods Sampling Design
  • Five Parts
  • 1. Stem Mapping
  • 2. Vegetation Plots
  • 3. Sample Additional Tree Attributes
  • 4. Microclimate LICOR

20
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21
Methods Block Layout
  • Each sampling block 72 x 72 m
  • Randomly located on selected reach
  • Centerline is oriented along average aspect of
    stream

22
Methods Block Layout
  • Example

Random Starting Point
23
Methods Stem Mapping
  • Total Station Survey Equipment
  • Two GPS points were found using a Trembull survey
    grade GPS
  • The azimuth in the total station was set using
    the two GPS points
  • The reflector was placed on the bole of the tree
    for mapping

24
Methods Tree Attributes
  • Attributes Recorded for Each Tree
  • DBH
  • Species
  • Canopy Classification (Dominant, Co-dominant,
    Intermediate, Suppressed)
  • Condition (Dead, Live)

25
Methods Tree Attributes
  • Decay Class Rating
  • 1, . . . , 5
  • U.S. Forest Service
  • Crown Class
  • Full crown, multiple tops, snag
  • Washington Department of DNR

26
Sampling Alternatives
27
Sampling Alternatives Trees
  • Simple Random Sampling
  • Grid-based square plots
  • Fixed radius circular plots
  • Strips
  • Parallel
  • Perpendicular
  • Perpendicular, alternate
  • Perpendicular on half the stream
  • Systematic Sampling
  • Fixed radius plots
  • Horizontal Line Sampling (Lynch 2006)
  • Block Design

28
Simple Random Sample
  • Grid-based Design
  • 18x18m Plots
  • Area Sampled
  • Approximately 10, 20

29
Simple Random Sampling
  • Fixed Area Plot
  • Radius of 10.64 m and 5.64 m
  • Sample 10 and 20 of the area.

30
Strips Parallel to the Stream
  • Strip widths of 3m and 9m
  • Stratified by Distance from the stream
  • Sample approximately 10 to 20 of the area

31
Strips Perpendicular
  • Strip widths of 4m and 8m
  • Simple random sample of strips
  • Sample 10, 20 of the area

32
Perpendicular Alternate Strips
  • Strip widths of 4m and 8m
  • Sample 10 and 20

33
Perpendicular One Side
  • Strips widths of 4m and 8m
  • Sample 10, 20 of the area

34
Systematic Sampling
  • Fixed radius plot of 10.64m and
  • 5.64 m
  • Sample approximately 10, 20 of the area

35
Horizontal Line Sampling
  • Lynch (2006)
  • Can be used to estimate trees or volume per acre
    without a known area
  • Uses transects along which a prism is used to
    select trees

36
Horizontal Line Sampling
  • BAF of 9 metric (40 imperial)
  • Transects run perpendicular to the stream and a
    known baseline length
  • Integration is used to
  • estimate tree attributes

37
Block Design
  • Design adapts to curvature in the stream and
    bankfull channel edge

From Roorbach et. Al. (2001)
38
Block Design
  • Plot width from stream of 30 m and 50 m in length
  • Area sampled will be site specific
  • Both sides of the stream will be measured
  • Use stream center rather than bankfull width

39
Analysis Methods
40
Evaluating Sampling Alternatives
  • Size Classes
  • Diameter Class Distribution
  • 25 cm classes
  • Height Class Distribution
  • 10 m classes
  • Calculate MSE, Bias, Relative Efficiency
  • Volume
  • Merchantable Volume
  • Basal Area
  • Merchantable TPA
  • TPA

41
Analysis Methods
  • MSE

Temesgen, H. (2003)
42
Analysis Methods
  • Bias

Temesgen, H. (2003)
43
Analysis Methods
  • Percent Error
  • Relative Efficiency
  • Nonparametric Methods
  • Fisher Exact Test
  • Kruskal-Wallis Test

44
Analysis Methods
  • Spatial Patterns
  • Tree
  • Ripleys K
  • Neighborhood Indices
  • Moving Window Analysis

45
Preliminary Results
46
Preliminary Results
47
Preliminary Results
48
Preliminary Results
49
Summary
  • Possible reasons for high variation
  • Changes in stream channel width
  • Only 30 replications were used for these results

50
Questions ?
51
Sources
  • Bruce, D. 1981. Consistent Height-Growth and
    Growth-Rate Estimates for Remeasured Plots.
    For. Sci. 27(4) 711-725.
  • Cissel, J., Anderson, P., Berryman, S., Chan, S.,
    Puettman, K., and Thompson, C. BLM Density
    Management and Riparian Buffer Study
    Establishment Report and Study Plan. U.S. Dept.
    Interior, U.S. Geological Survey. 2006. 161 p.
  • Lynch, T. B. 2006. Horizontal line sampling for
    riparian forests without land area estimation.
    For. Sci. 52(2) 119-129
  • Roorbach, A., Schuett-Hames, D., Haight, R., and
    McGowan, M.. Field Procedures for the Pilot
    Study to Validate the DFC Performance Targets
    for West-Side Riparian Prescriptions in
    Washington's Forest Practices Rules. Northwest
    Indian Fisheries Commission, 2001.
  • Temesgen, H. 2002. Evaluation of sampling
    alternatives to quantify tree leaf area. Can.
    J. For. Res. 33 82-95.
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