An Introduction to OSU StreamWood Mark A. Meleason 2, Daniel J. Sobota 1, Stanley V. Gregory 3 1 Washington State University, Vancouver Campus 2 USDA Forest.

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Presentation transcript:

An Introduction to OSU StreamWood Mark A. Meleason 2, Daniel J. Sobota 1, Stanley V. Gregory 3 1 Washington State University, Vancouver Campus 2 USDA Forest Service Pacific Northwest Research Station 3 Department of Fisheries and Wildlife, Oregon State University

Presentation Outline I.Model Description II.Types of Applications III.Simulation Example

I. Model Description Model Overview Model Components Model Performance

OSU StreamWood predicts… STANDING STOCK of wood (Breakage, movement, and decay) MEANS and VARIANCE (Individual–based Stochastic) GENERAL trends Scales: Time – ANNUAL Space – MULTIPLE REACH

STREAMWOOD Forest Stream Tree Recruitment Tree Growth Tree Mortality Log Recruitment Log Breakage Log Movement DecompositionForest Harvest

STREAMWOOD Tree Recruitment Tree Growth Tree Mortality Log Recruitment Log Breakage Log Movement DecompositionForest Harvest Forest Stream

Forest Inputs Forest Gap–Phase Model (w/I SW) JABOWA (Botkin et al., 1972) Individual-based, Monte Carlo ORGANON and FVS (G&Y models) User defined

no cut partial cut Riparian Zone Harvest Regime stream forest upland

STREAMWOOD Tree Recruitment Tree Growth Tree Mortality Log Recruitment Log Breakage Log Movement DecompositionForest Harvest Forest Stream

STREAMWOOD Tree Recruitment Tree Growth Tree Mortality Log Recruitment Log Breakage Log Movement DecompositionForest Harvest Forest Stream

directional fall random fall Tree Fall Regime stream forest random fall or directional fall

STREAMWOOD Tree Recruitment Tree Growth Tree Mortality Log Recruitment Log Breakage Log Movement DecompositionForest Harvest Forest Stream

Tree Entry Breakage Bankfull Width A1A1 Log lengths C3C3 A2A2 B2B2 B1B1

In-channel Breakage Does the log break? residence time top diameter If so where? Variations on broken stick model Break location related to diameter

Predicted vs. Observed

STREAMWOOD Tree Recruitment Tree Growth Tree Mortality Log Recruitment Log Breakage Log Movement DecompositionForest Harvest Forest Stream

Chance of Log Movement Does the log move? Function of: FLOW (peak annual flow) Number of Key Pieces Length outside of channel Length to bankfull width

Chance of Movement: No Key Pieces, 100% Within Channel

Distance of Log Movement If it does move, then how far? Single negative exponential model k = average travel distance (units of bank full width) Assumed independent of piece size and channel characteristics

Distance Moved, Mack Creek

STREAMWOOD Tree Growth Tree Mortality Log Recruitment Log Breakage Log Movement DecompositionForest Harvest Forest Stream Tree Recruitment

Decomposition Single negative exponential Represents microbial decay and physical abrasion Species-specific aquatic and terrestrial rates

The Value of Models Models of course, are never true, but fortunately it is only necessary that they be useful. For it is usually needful only that they not be grossly wrong. Box, G. E. P Some problems of statistics and everyday life. J. Am. Stat. Assoc. 74: 1-4

Model Performance Evaluation Truth is the intersection of independent lies (Levins1970) Absolute Tests difficult for most models Using realistic input parameters: Reasonable agreement with available data And derived characteristics (e.g., log length frequency distribution) Sensitivity Analysis: ID critical variables

II. Sample Applications Vary, riparian width, no-cut width, and upland rotation length Characterizing variability of wood volume for a given forest type

Forest Basal Area: Standard Run

Forest Plantation Basal Areas

Volume From Plantation Forests

Plantation Forests: 6-m Buffer

Plantation Forests: 10-m Buffer

Plantation Forests: 15-m Buffer

Total Volume by Buffer Width

Study Conclusions 6-m buffer: 32% of site potential 30-m buffer: 90% of site potential Plantation forests: maximum 1 st cut

Time (year) Volume (m m -1 ) 1800-yr Simulated Wood Volume Waihaha Basin, New Zealand

Volume Frequency Distribution Year 1800, Waihaha, NZ Wood Volume class ( m 3 / 100 m) Relative Frequency 1800-yr

Cumulative Frequency Volume Distribution Waihaha, NZ

III. Simulation Example 4-reach system using the internal forest model (no harvest activity) Bank full width = 10 m, length =200 m Run for 200 years, 100 iterations

Final Thoughts Designed to be flexible Currently v2 is under construction Includes StreamLine – a 1-reach system Imports ORGANON and/or FVS dead tree files Latest release version on HJA LTER website Developer: Mark Meleason (

Questions?Questions?