Regeneration / Young Stand Models

Similar documents
Introduction to Growth and Yield Models

SILVICULTURE SILVICULTURE 10/8/2018. Ecological forestry (Ecosystem management)

Western Oregon Forest Ecology. Michael Ahr, Forest Conservationist

Ecology of Pacific Madrone. Glenn Ahrens Oregon State University Extension Forestry and Natural Resources Hardwood Silviculture Cooperative

Stand Dynamics and Health. Helping Your Woods Grow. For most of us this is our goal. Traditional Land Knowledge. Forest Function and Wildlife Habitat

UNEVEN-AGED MANAGEMENT NORTHWEST CERTIFIED FORESTRY

ECOLOGICAL FOREST MANAGEMENT

Forest Ecology (Forest Distribution, Forest Change, and Forest Mgt)

Crown Area Equations for 13 Species of Trees and Shrubs in Northern California and Southwestern Oregon

Productivity of red alder in western Oregon and Washington

The Science Behind Forest Riparian Protection in the Pacific Northwest States By George Ice, Summer 2004

A Compendium of Forest Growth and Yield Simulators for the Pacific Coast States

FOR 347: Silviculture. Thinning & Silviculture. Group Exercise 4/10/2019. Instructor: Dr. Jeremy Stovall Lecture 19: Thinning Methods

The Forest Projection & Planning System (FPS) Regional Species Library Update Year-end 2015

Measures of productivity

Growth and Yield. Lecture 8 (4/27/2017)

Silviculture Research on the Penobscot Experimental Forest

A Compendium of Forest Growth and Yield Simulators for the Pacific Coast States

8) Which of the following species is best adapted to poorly drained sites? a) Bur oak b) Eastern red cedar c) Black ash d) Yellow birch

Incense Cedar Growth Studies and Observed Mortality at Blodgett Forest Research Station

Red Alder Diameter and Height Growth Equations. Development of Annualized Diameter and Height Growth Equations for Red Alder: Preliminary Results

Silviculture Art & science of establishing & tending trees & forests

PRINCIPLES OF SILVICULTURE FWF 312 SOME SELECTED SILVICULTURAL DEFINITIONS

RESOURCES PRACTICES BRANCH

Two-Aged Stand Management in the Coast Range A. Grotta

Why is Red Alder Important?

PACIFIC NORTHWEST: '1910-'198'1

Density Management in Pacific Northwest forests

TREPASSEY S SITKA SPRUCE

General Information. Reviewers Miles Hemstrom Steve Acker

Forest Resources of the United States, 2017: A Technical Document Supporting the Forest Service Update of the 2010 RPA Assessment

2015 Wisconsin Envirothon KEY Forestry Exam

2.4 MANAGING FOR HIGH-VALUE TREES

Oregon Department of Forestry Harvest Scheduling Model Yield Table Creation Project

APPENDIX 2 -- EASTERN U.S. SITE-TREE SELECTION CRITERIA AND FIA FOREST TYPE ALGORITHM FOR THE U.S. EASTERN U.S. SITE-TREE SELECTION CRITERIA

The GB National Forest Inventory

CHAPTER 5: GROWTH AND YIELD

CLIMATE CHANGE AND FOREST TREES IN THE PACIFIC NORTHWEST: EXECUTIVE SUMMARY A VULNERABILITY ASSESSMENT AND RECOMMENDED ACTIONS FOR NATIONAL FORESTS

Growth of a 45-Year-Old Ponderosa Pine Plantation: An Arizona Case Study

Tree Height Estimation in Redwood/Douglas-fir Stands in Mendocino County

WESTERN WASHINGTON HARDWOOD ASSESSMENT

50 Year Development of Ponderosa Pine Saplings and Poles Using Six Different Thinning Regimes in the Black Hills Growing Stock Levels

Shelterwood Method Characteristics

COLE 1605(b) Report for Washington

Simulating Regeneration Dynamics in Upland Oak Stands

CROWN FIRE ASSESSMENT IN THE URBAN INTERMIX: MODELING THE SPOKANE, WASHINGTON PONDEROSA PINE FORESTS

Incidence of Insects, Diseases, and Other Damaging Agents in Oregon Forests

1 Mile. 1 Kilometer. USDA Forest Service General Technical Report PSW

Forest Resources of the United States, 2017:

The Washington Hardwoods Commission. Presents: A Hardwood Resource Assessment for Western Washington

Reading Project Noxious Weed Risk Assessment Hat Creek Ranger District Lassen National Forest April 3, 2013

Management Strategies to Increase Structural Complexity and Enhance Biodiversity in Mixed Forests of Alaska, Japan, and central Europe

NTRALHARDWOOD NOTES. Estimating Oak Growth and Yield. Managed Stand Yield. Individual Tree Growth and Yield Models

FWF Silviculture Lab Exercise 2018 Spring Semester. Comparison of Thinning Methods

Appendix J-1 Marking Guidelines Alternative 4 GTR 220

97330, USA. 2

A tale of two forest types

Ecological Assessment of Biomass Thinning in Coastal Forests. Phase II: Pre and post-harvest stand assessment of woody biomass harvesting

An evaluation of boundary-line release criteria for eleven North American tree species

Forest Characteristics. Integrating Forest Management and Wildlife. Effects of Silvicultural Practices. Management of Succession

Western redcedar (Cw)- Thuja plicata

Forecasting Timber, Biomass, and Tree Carbon Pools with the Output of State and Transition Models

Inventory and Assessment of Mud Pond Country Park

Appendix A (Project Specifications) Patton Mill Fuel Break Project

The Effects of Site Preparation on the Long Term Growth and Productivity of Interior Douglas-fir and Western White Pine

2017 Regional Envirothon

The Influence of Stand Density on Mortality in California s Forests

OptFuels Vegetation and Fuels Inputs

ECOLOGY: EFFECTS OF FIRE ON VEGETATION

The Author. Legal Notice. Disclaimer

FOR 274: Forest Measurements and Inventory. Tree Age: Introduction. Tree Age: Terms. Tree Age and Site Indices Age Site Indices Variable Radius Plots

USDA FOREST SERVICE NORTHERN REGION State & Private Forestry Missoula, MT 59801

Westside Restoration. Middle Fork Ranger District

Appendix A: Vegetation Treatments

Advances in productivity research in the Pacific Northwest

Softwood Lumber Prices for Evaluation of Small-Diameter Timber Stands in the Intermountain West

Using quantitative forest structure targets: the good, bad, and ugly

Uneven-age Stand Management. a.k.a. Uneven-aged (Sized) Silviculture Walt Wintturi- Watershed to Wildlife

Red Pine Management Guide A handbook to red pine management in the North Central Region

Can the California Forest Practice Rules Adapt To Address Conifer Encroachment? 1

Extension Note. Effects of Spacing Paper Birch Mixedwood Stands in Central British Columbia FRBC Project HQ96423-RE (MOF EP 1193) JANUARY 1999

February 22, CAL FIRE Resource Management 135 Ridgway Avenue Santa Rosa, CA 95402

Clara Unit Card. Alternative 2 Acres: 19 Treatment Acres: 6 Stand Age: 106 Primary ELT: 16. Primary Treatment: Single-Tree Selection

Outlook Landscape Diversity Project

Appendix C. Consistency With Eastside Screens. Salvage Recovery Project

Using the tree-growth model MOSES to assess the impact of uneven-aged forest management

Application of Uneven- aged Management. What is Uneven-age??? Age Classes. Important Terminology, Concepts & Methodology. defining

Marty Main is a consulting forester and forestry services

Defining Forests. forestry hardwood log native forest old-growth forest. E-unit: Defining Forests Page 1

Discounted Cash-Flow Model for Western Washington Forest Products

Making a Plan for Your Woods

Habitat Management in Red Squirrel Reserves and Buffer Zones in Northern England

Inventory and Assessment of Shelburne Farms Woodlots

ORGANON Calibration for Western Hemlock Project

Nova Scotia Forest Inventory

ATTACHMENT 4: DESCRIPTION OF TREATMENT TYPES MESABI PROJECT

Pure, multi-cohort stands

Chapter 9: Marking and Assessing Forest Heterogeneity

GSP Monitoring Team Baseline Data Report

Telegraph Forest Management Project

Transcription:

Many of the standard growth and yield models that are currently in use start with stands that have passed the regeneration phase of development (i.e., they start with stands with ages of 15 or 20 years and older) and predict their development up to maturity simulated stand development 20 80-100+ established stand models

To add regeneration to these models has required the development of separate regeneration/young-stand models to predict stand development up to 15 or 20 years. simulated stand development 0 20 80-100+ young stand models established stand models

A fully developed regeneration/young-stand model will have the following capabilities: 1. It can predict the number, species and initial sizes of new trees entering the stand after any natural or man caused disturbance; 2. For the newly established natural regeneration and for planted regeneration, it can predict the development and mortality of the trees, the competing vegetation and their interaction up to an age/size where the tree and/or stand attributes can be passed on to a standard growth and yield model that will continue to grow the stand to rotation age;

A fully developed regeneration/young-stand model will have the following capabilities (cont d): 3. It can allow the user to treat the stand through the control of competing vegetation (by any method desired) or through precommercial thinning (again, by any method desired), and then predict the resulting development of the trees, the competing vegetation and their interaction up to an age/size where the tree and/or stand attributes can be passed on to a standard growth and yield model.

Precommercial thinning

Competing vegetation control

To date, four regeneration/young-stand models have been developed and have seen fairly wide usage in the Pacific Northwest: 1. The regeneration establishment and small tree growth models in the FVS (PROGNOSIS) growth and yield system. 2. The SYSTUM-1 regeneration/young-stand model which has been developed to interface with either the ORGANON or CACTOS growth and yield models. 3. The RVMM regeneration/young-stand model which has been developed to interface with either the ORGANON, FVS (PROGNOSIS), or SPS growth and yield models. 4. The CONIFERS regeneration/young-stand model which has been developed to interface with either the ORGANON, FVS (PROGNOSIS), or CACTOS growth and yield models.

FVS (PROGNOSIS) Regeneration Establishment and Small Tree Growth Models The regeneration approach taken by the FVS (PROGNOSIS) growth and yield system uses two models: A regeneration establishment model A small tree growth model

Regeneration establishment model: Predicts the species, height and expansion factors for the trees regenerated after disturbance and Adds the new trees to the tree list of the main FVS (PROGNOSIS) growth and yield system. Small tree model (trees with dbh < 3.0"): Projects the regeneration trees (i.e., projections are not done by the regeneration establishment model itself) Passes any trees that attain dbh>3.0 to the large tree model in FVS (PROGNOSIS)

FVS (PROGNOSIS) Regeneration Establishment Model There are two major steps in the model: 1. Predict whether a 1/300 acre plot in the stand will be stocked or not (i.e., at least one seedling on the plot), using a logistic equation. 2. For stocked plots, predict the number of trees per acre that will be on the plot, the species of the trees on the plot, and the height of each tree on the plot.

Probability of stocked plot FOR Logistic model Probability of stocked plot PM 1.0 exp[ ( 1 X X... 0 1 1 2 2 k X k ) 1 0 X

FVS (PROGNOSIS) Young Stand Model For stands that have been actually treated before input into the PROGNOSIS/FVS model, Regeneration is predicted 10 and 20 years after the initialization of the run [most variants of FVS (PROGNOSIS) have a 10 year growth cycle]. For stands that have received hypothetical (simulated) treatments within the FVS (PROGNOSIS) model, Regeneration is predicted both 10 and 20 years after disturbance. Regeneration is added to the existing tree list at each cycle, and the FVS (PROGNOSIS) model then fills in the missing dbh's and crown ratios for the trees. The inputted regeneration trees are then grown using the small tree (dbh < 3.0") model.

FVS (PROGNOSIS) Young Stand Model Precommercial thinning is done within the FVS (PROGNOSIS) model itself using FVS (PROGNOSIS) standard thinning routines. Cover of non-tree species (i.e., competing vegetation) on each plot is predicted in the COVER model (Moeur 1985). Currently, there is no interaction between the competing vegetation and the development of the regeneration. Currently, five variants of FVS (PROGNOSIS) have regeneration establishment models: Southeast Alaska & Coastal British Columbia, Central Idaho, Eastern Montana, Kootenai, Kaniksu & Tally Lake, and Northern Idaho.

SYSTUM-1 SYSTUM-1 (Ritchie and Powers 1993) was developed using existing data located in inland northern California and southwestern Oregon. The model can be used to predict the early development (ages 3 to 20 years) of even-aged plantations of regeneration (composed of ponderosa pine, sugar pine, incense- cedar, Douglas-fir and/or white fir) and their associated competing vegetation created after clearcutting. The model includes the interaction between regeneration and competing vegetation. Treatments built into the model include precommercial thinning and reduction of percent cover of the competing vegetation.

SYSTUM-1: Single-tree/distance-independent growth and yield model. To run the model requires the following information: 1. A tree list 2. Stand information 3. Competing vegetation measurements for each plot

SYSTUM-1: Single-tree/distance-independent model 1. A tree list with the following recorded for each tree: a. Plot number b. Species c. Total height d. DBH e. Crown ratio f. Expansion factor Ideally, the tree list should come from an inventory of the stand with all values measured. However, if dbh and/or crown ratio are not measured on all (or any) of the trees, then SYSTUM-1 will predict and fill in the missing values.

SYSTUM-1: Single-tree/distance-independent model 2. Stand information: a. Site index b. Stand age c. Aspect d. Slope e. Elevation

SYSTUM-1: Single-tree/distance-independent model 3. Competing vegetation measurements for each plot: a. Percent cover for each of up to 6 competing vegetation species b. Average height for each of up to 6 competing vegetation species

RVMM - Regional Vegetation Management Model Developed for 2 zones of northwest Oregon and western Washington: Coast Ranges (Shula et al. 1998a): Forks, WA south to Coos Bay, Or Cascade Mountains (Shula et al. 1998b): Concrete, WA south to Oakridge, OR In both zones: 98 fixed area, permanent research plots established Each plot re-measured after 2 yrs

RVMM - Regional Vegetation Management Model Predicts early development (ages 0 to 20 years) of even-aged plantations of Douglas-fir created after clearcutting. Includes the interaction between regeneration and competing vegetation (hardwood trees, shrubs and herbs).

RVMM: Single-tree/distance-independent model To run the model requires the following information: 1. A tree list 2. Stand information 3. Non-tree competing vegetation measurements

RVMM: Single-tree/distance-independent model Outputs from RVMM include: 1.A stand summary table 2.Graphs of tree attributes over diameter 3.The creation of an ORGANON input file 4.The creation of an FVS input file 5.The creation of a SPS input file The last three output options allow the user to interface RVMM with either the ORGANON, FVS, or SPS growth and yield models for "older" stands (i.e., stands > 20 yrs old).

CONIFERS (Ritchie 1999) Developed using permanent, research quality regeneration plots located in 109 stands in southwest Oregon and northern California Predicts early development (ages 2 to 26 years) of even-aged plantations of mixed or pure species regenerated after clear cutting Primary coniferous tree species: Douglas-fir and ponderosa pine; secondary coniferous tree species white fir, sugar pine and incense-cedar Primary hardwood trees species: tanoak, Pacific madrone and golden chinkapin; with secondary hardwood tree species Oregon white oak and California black oak.

CONIFERS (Ritchie 1999) Primary shrub species are deerbrush, snowbrush, greenleaf manzanita and white leaf manzanita Secondary shrub species: Ribes, California hazel and ocean spray Model simulates interaction between regeneration and competing vegetation Treatments built into the model include precommercial thinning and release from competing vegetation.

CONIFERS: Single-plant/distance-independent growth and yield model; i.e., it grows not only a sample of single trees but also a sample of single shrubs. To run the model requires the following information: 1. A tree list 2. Stand productivity measure 3. Minimum shrub measurements for each plot 4. Alternative plant-level shrub information

CONIFERS: Single-plant/distance-independent growth model Outputs from CONIFERS include: 1. Plot level and stand level summary tables 2. The creation of an ORGANON input file 3. The creation of a FVS input file 4. The creation of a CACTOS input file The last three output options allow the user to interface CONIFERS with either ORGANON, FVS or CACTOS growth and yield models for "older" stands (i.e., stands >20 yrs old).

CONIFERS: Single-plant/distance-independent growth model To run the model requires the following information: 1. A tree list with the following recorded for each tree: a. Plot number b. Species c. Total height d. DBH (recommended) e. Crown ratio (recommended) f. Crown width (recommended) g. Expansion factor Ideally, the tree list is from measured values. If dbh, crown width, and/or crown ratio are not measured on any trees, then CONIFERS will fill in the missing values.

CONIFERS: Single-plant/distance-independent growth model To run the model requires the following information: 2. Stand productivity alternatives: a. Site index of Douglas-fir or ponderosa pine b. Optionally, site water holding capacity and mean annual precipitation

CONIFERS: Single-plant/distance-independent growth model To run the model requires the following information: 3. Required minimum shrub measurements for each plot: a. Plot number b. Shrub species c. Percent cover for the shrub species d. Average height for the shrub species

CONIFERS: Single-plant/distance-independent growth model To run the model requires the following information: 4. Alternate, plant-level shrub input: a. Plot number b. Shrub species c. Total height d. Basal diameter (recommended) e. Crown width (recommended) f. Expansion factor

FVS (PROGNOSIS) Regeneration Establishment and Small Tree Growth Models The regeneration establishment model found in FVS (PROGNOSIS) (Ferguson and Crookston 1984 and 1991; Ferguson et al. 1986) was developed from data collected on 12,128 1/300-acre plots located in northern Idaho and western Montana.

FVS (PROGNOSIS) Regeneration Establishment Model The intent of the model is to predict both planted and natural regeneration at a future date after application of any of the following harvest cutting and site preparation: Regeneration harvests: 1. Clearcut 2. Seedtree 3. Shelterwood 4. Selection Site preparation treatments: 1. None 2. Mechanical 3. Burn

The information needed to run the regeneration model include: 1. Habitat type of the plot 2. Aspect of the plot 3. Slope of the plot 4. Elevation of the stand 5. Topographic position of the plot 6. Geographic location of the stand 7. Residual overstory basal area on the plot 8. Residual overstory species composition on the plot 9. Time since disturbance of the plot 10. Site preparation method used on the plot 11. Year of planting for the stand 12. Species planted in the stand 13. Number of trees per acre planted in the stand 14. Percent survival at the end of the cycle for the stand 15. Seedling age at time of planting for the stand

SYSTUM-1: Single-tree/distance-independent model SYSTUM-1 also allows the user to generate a tree list in two ways. In both methods, the user inputs certain values concerning the stand to be generated and from these values the heights and expansion values for the trees on each plot are determined.

SYSTUM-1: Single-tree/distance-independent model Method 1: Generates a tree list for any stand age between 3 and 20 years. It requires the following inputs: a. Either the maximum and minimum tree heights by species, or (preferably) the average tree height and the standard deviation of tree heights by species b. Number of sample trees to generate for each species c. The expansion factor for each sample tree

SYSTUM-1: Single-tree/distance-independent model Method 2: Generates a 3-yr-old stand (authors consider it unreliable) It requires the following inputs: a. Aspect, slope and elevation of the plot b. Number of sample trees to generate for each species c. The expansion factor for each sample tree

SYSTUM-1: Single-tree/distance-independent model SYSTUM-1 will also generate the percent cover and average height of the cover given the following input: 1. The age of the competing vegetation 2. The site class (high/110, medium/80, low/50) 3. The species of the competing vegetation Disclaimer: Actual measurements are considered more reliable than generating the values

SYSTUM-1: Single-tree/distance-independent model Outputs from SYSTUM-1 include: 1. A stand summary table 2. Graphs of average stand attributes over stand age 3. The creation of an ORGANON input file 4. The creation of a CACTOS input file The last two output options allow the user to interface SYSTUM-1 with either the ORGANON or CACTOS growth and yield models for "older" stands (i.e., stands over 20 years of age).

To date, four regeneration/young-stand models have been developed and have seen fairly wide usage in the Pacific Northwest: 1. The regeneration establishment and small tree growth models in the FVS (PROGNOSIS) growth and yield system. 2. The SYSTUM-1 regeneration/young-stand model which has been developed to interface with either the ORGANON or CACTOS growth and yield models. 3. The RVMM regeneration/young-stand model which has been developed to interface with either the ORGANON, FVS (PROGNOSIS), or SPS growth and yield models. 4. The CONIFERS regeneration/young-stand model which has been developed to interface with either the ORGANON, FVS (PROGNOSIS), or CACTOS growth and yield models.

A fully developed regeneration/young-stand model will have the following capabilities: 1. Predict the number, species and initial sizes of new trees (recruitment) 2. Predict early stand vegetation dynamics: i. Development and mortality of trees ii. iii. Change in competing vegetation cover Interaction of crop trees and competing vegetation 3. Implement silvicultural treatments: i. Control of competing vegetation ii. Precommercial thinning

General format: INPUT: (GENERATE for bare ground) tree list competing vegetation cover MODEL: tree growth competing vegetation dynamics effects of competing vegetation cover effects of precommercial thinning OUTPUT: tree list (formatted for ORGANON, FVS, CACTOS and/or FPS) competing vegetation cover

tree list competing vegetation cover MODEL: (generate tree list) tree growth competing vegetation dynamics effects of competing vegetation cover effects of precommercial thinning tree list (formatted for ORGANON, FVS, CACTOS and/or FPS) competing vegetation cover

RVMM - Regional Vegetation Management Model Coast Range version allows minor components of western hemlock or Sitka spruce and includes competing hardwood tree vegetation from red alder, bigleaf maple, bitter cherry, willow, vine maple, hazel and cascara. Cascade Mountain version allows minor components of western hemlock or Pacific yew and includes competing hardwood tree vegetation from red alder, black cottonwood, tanoak, bitter cherry, willow, vine maple, hazel and cascara. Treatments built into the model include precommercial thinning and reduction of percent cover of the competing vegetation.

RVMM: Single-tree/distance-independent model To run the model requires the following information: 1. A tree list with the following recorded for each tree: a. Tree number b. Species c. Total height d. DBH (if total height > 4.5-feet) e. Crown width for Douglas-fir only (optional) f. Height to crown base for Douglas-fir only (optional) g. Expansion factor

RVMM: Single-tree/distance-independent model To run the model requires the following information: 1. A tree list with the following recorded for each tree: a. Tree number b. Species c. Total height d. DBH or D B e. DF Crown width f. DF Height to crown base g. Expansion factor Ideally, the tree list is from measured values. Each tree must have DBH or D B (diameter at 6 inches); if missing RVMM will fill in missing values. Similarly, if crown width or height to crown base for a Douglas-fir tree is not measured, RVMM will fill in the missing values.

RVMM: Single-tree/distance-independent model To run the model requires the following information: 2. Stand information: a. Site index b. Plantation age c. Number of years to breast height d. Aspect e. Slope f. Elevation

RVMM: Single-tree/distance-independent model To run the model requires the following information: 3. Non-tree competing vegetation measurements for each plot: a.percent cover for herbs b.percent cover for shrubs c.average height for shrubs

Start 6 March 2015