Models: Deadwood Management
DecAID Advisor
Authors
Bruce G. Marcot, Kim Mellen, Janet L. Ohmann, Karen L. Waddell, Elizabeth A. Willhite, Bruce B. Hostetler, Susan A. Livingston, Catherine Ogden, Tina Dreisbach.
Availability
As of this writing, the DecAID project is an ongoing, dynamic process. The DecAID Advisor will be available as a Web site operating as an interactive program. Current plans include training sessions to help users understand how to run the program and use and interpret results.
Brief Description
DecAID is an advisory tool to help managers evaluate effects, of forest conditions and existing or proposed management activities on organisms that use snags and down wood. DecAID also can help managers decide on snag and down wood sizes and levels needed to help meet wildlife management objectives. It can help managers articulate those objectives in specific, quantitative terms that could be tested in the field. In this way, the name "DecAID" can be read as decayed wood advisor and management aid ("decay-aid" or "decision-aid"). The DecAID Advisor can help long-term planning, as over "decades" of time.
Software Requirements
Runs from the web, at http://wwwnotes.fs.fed.us:81/pnw/DecAID/DecAID.nsf.
A tutorial is also available.
Documentation and Publications Available
See http://www.fs.fed.us/wildecology/decaid/decaid_background/decaid_papers.htm.
Input
User selects the appropriate wildlife habitat type and structural condition class from drop-down lists.
Output
DecAID presents information on wildlife use of snag diameter, snag density, down wood diameter, and down wood percent cover, and on the range of natural (unharvested) and current (all) conditions of snag density and down wood percent cover by diameter classes. The information is presented at three statistical tolerance levels which may be interpreted as three levels of "assurance:" low (30% tolerance level), moderate (50% tolerance level), and high (80% tolerance level). Minimum and maximum values are also presented. Additional available data on dead wood species, decay condition, etc. are summarized but not analyzed statistically.
DecAID allows the user to specify a vegetation condition, and to:
- view a synthesis of empirical data on wildlife use of wood decay elements in Washington and Oregon;
- determine which selected wildlife species would be associated with specific sizes or amounts of snags or down wood at various statistical levels;
- determine the sizes or amounts of snags or down wood to meet specified wildlife species objectives;
- view a narrative interpretation of these data along with the literature sources;
- view summaries of the range of snag and down wood levels in unharvested forest, representing ranges of natural conditions, and across all current forest conditions;
- determine effects of present or expected stand conditions on wildlife using wood decay elements;
- determine implications of insect and pathogen activity on the creation and management of snags and down wood for wildlife habitat;
- view advice on the roles of insects and pathogens in creation and dynamics of snags and down wood; and
- determine implications of snag and down wood levels on managing for overall forest ecosystem health.
Species and Geographic Applicability
SHP WILDLIFE HABITATS INCLUDED IN DECAID
1 Westside Lowlands Conifer-Hardwood Forest
2 Westside Oak and Dry Douglas-fir Forest and Woodlands
3 Southwest Oregon Mixed Conifer-Hardwood Forest
4 Montane Mixed Conifer Forest
5 Eastside Mixed Conifer Forest
6 Lodgepole Pine Forest and Woodlands
7 Ponderosa Pine and Eastside White Oak Forests and Woodlands
8 Upland Aspen Forest
9 Subalpine Parkland
13 Western Juniper and Mountain Mahogany Woodlands
See http://www.fs.fed.us/wildecology/decaid/decaid_background/decaid_whs.htm.
Data Used for Parameterization
DecAID is a summary, synthesis, and integration of published scientific literature, research data, wildlife databases, forest inventory databases, and expert judgement and experience. The information presented on wildlife species use of snags and down wood is based entirely on scientific field research and does not rely on modelling the biological potential of wildlife populations.
The information presented on ranges of snag and down wood amounts under natural and current conditions is based on forest inventories, research studies, and other sources. Forest inventories include: the Current Vegetation Survey (CVS), conducted by USDA Forest Service, Pacific Northwest Region, on National Forest lands; the Forest Inventory and Analysis (FIA), conducted by USDA Forest Service, Pacific Northwest Research Station, on non-federal lands; and the Natural Resource Inventory (NRI), conducted by USDI Bureau of Land Management (BLM) on BLM lands in western Oregon. Inventory plot data are unavailable for reserved areas outside BLM lands and National Forests, such as on National and State Parks.
The information on insects and pathogens is based on empirical studies, CVS, NRI, and FIA inventory data, and expert understanding of potential effects.
See http://www.fs.fed.us/wildecology/decaid/decaid_background/decaid_stbasis.htm
Deadwood Habitat in Spruce - Subalpine Fir Forests
A model for predicting deadwood habitat in wet spruce subalpine-fir forests
Authors
Craig Delong, B.C. Ministry of Forests and Range, Prince George, B.C.; Andrew Fall, Gowlland Technologies Ltd., Victoria, B.C.; and Glenn Sutherland, Cortex Consultants Inc., Vancouver, B.C.
Availability
Currently in testing and verification stages. Target for general availability is March of 2006.
Brief Description
A spatially explicit model for forecasting the long-term implications of forest management alternatives on deadwood amount and habitat quality. Designed to examine changes in patterns of deadwood types and abundance over large landscapes such as tree farm licences, while also permitting operational rules to be specified at much smaller scales.
The model projects hybrid white spruce and subalpine fir snag densities and downed log volumes into the future in response to treatment scenarios specified by the operator. Densities and volumes are tracked by decay class. Remnant "stubs" - created by management or from snapped-off snags - are also tracked. The model simulates harvesting, road building, and snag felling along road and block edges (related to worker safety regulations) and the establishment of different types and amounts of within-block reserves.
Software Requirements
Windows NT/2000/XP
SELES V3.2 (freely available from www.gowlland.ca)
Hardware Requirements
One GB of RAM memory is recommended.
Documentation and Publications Available
See document entitled "Spatial Deadwood Dynamics - model description."
Input
Forest projection component - inputs are geospatial layers for biogeoclimatic zone, tree species, stand age, timber harvesting landbase, harvest schedule (optional), roads (active, inactive), and distance to roads. Parameters include targets for harvest level, patch size distribution, wildlife tree patches (amount and minimum patch size), and retention levels.
Harvesting sub-module - one mode is driven by an input harvest schedule and simply "replays" a harvest schedule by harvesting cells for each five years, identified in an input layer. Stand age is reset and roads are updated. The second mode is driven by a harvest target, specified as an area per year.
Access management sub-module - activates and builds road segments based on an input road layer that identifies existing and proposed roads.
Output
Deadwood dynamics component - projects the number of snags and stumps plus the volume of standing and down dead wood within each cell of the landscape based on field-estimated parameters of recruitment, decay, fall and snap rates, and the effects of forest and forest management dynamics.
Deadwood dynamics sub-model - we conceptualize the deadwood system as a flow of stems (individuals) and volume (m3) from live trees through to down wood (and eventually soil) and stumps. We don't directly represent the live canopy, but rather use parameter estimates of recruitment rates by species type and size class. We divide standing snags and stumps into 5 decay classes and downed wood into 4 decay classes. We also grouped deadwood proportionally into three size classes.
Deadwood management sub-model - snags are removed as a direct consequence of logging and road construction. This sub-model is designed to apply the effects of the management actions from the forest projection component. All deadwood is removed on roads. In blocks, all snags are felled. Parameters specify if this wood is left on site or removed.
Models run using the SELES landscape modelling environment and output can be analysed with Excel or statistics packages such as SYSTAT or SAS.
Species and Geographic Applicability
Hybrid white spruce and subalpine fir in the wet forests of east-central British Columbia.
Data Used for Parameterization
Field data and literature.
Models: Standing Dead Tree Fall Models
******************** SRS ********************
Snag Recruitment Simulator SRS1
The following description is based on a review of SRS1 done around 1994 by Jeff Stone,
Ministry of Forests, Kamloops, BC. This review should be checked to ensure that no changes
have occurred to the model.
Author
- Bruce G. Marcot
- USDA Forest Service, Pacific Northwest Research Station, 333 SW 1st Avenue, P.O. Box
3890, Portland, OR 97208. Tel: 503-326-4952.
Availability
Copies of the program are available at http://www.spiritone.com/~brucem/whrtext.htm#What the book doesn't tell
Brief Description
SRS1 is a snag dynamics projection system. The model simulates snag densities through
time and their transition among decay classes. The user must supply the initial snag
densities by size and decay class, density of green trees killed by size class, and
density by size of snags recruited in the stand over 10-year periods. Several versions of
SRS1 exist. The "west side" version is based on data (falldown and decay) from
Douglas-fir stands west of the Cascade crest in Oregon. The "east side"
version is based on data (falldown) from ponderosa pine stands in eastern Oregon. The
models are based on the life-table approach of Neitro et al. (1985). The complete SRS
system also includes SRS2 which projects the density and decay classes of snags required
to support a given level of primary cavity excavators.
Software Requirements
- Operating System:
- DOS 3.3 or later
- Specific Software:
- SRS1 is available in a spreadsheet format (LOTUS 1-2-3 or QUATTRO) and as a DOS
executable runtime version of the spreadsheet. The model also appears to work in EXCEL.
Documentation and Publications Available
Documentation of the program is provided digitally with the program. This manual provides a brief
overview of the model, details differences among the model versions and types, discusses
the model limitations, and describes the model use for the original spreadsheet format.
Additionally, the author provides two background documents: (1) an outline of a
presentation on analysing snag habitat and modelling snag recruitment and (2) an annotated
review of selected literature on snag distribution. Online documentation is available both
in the runtime and spreadsheet formats.
Input
There are 3 sources of snags a) snags from previous forest left on site at time 0, b)
snags created by killing live (green) trees, and c) snags recruited due to suppresion
mortality in the stand.
Snags from the previous forest left on site are entered as snags/100 acres by dbh class
and decay class. The mean dbh of the 25+" class must also be entered. No snag ages
are required. SRS1 assumes the mid-point ages for a snag in the hard decay class (i.e.,
half of the transition age of hard to soft) and the soft decay class (i.e., midpoint
between transition age and maximum snag age).
Snags created by killing live (green) trees are entered as snags/100 acres by the year
(i.e., stand age) of creation and the dbh class. These snags are assumed to all have a
hard decay class and 0 age.
Snags recruited due to supression mortality in the stand are entered by one of
two methods. The first method requires the quadratic mean dbh (inches) of the newly
recruited snags and the yearly rate of snag recruitment (snags/100 acres) for each decade
of stand age. The second method requires the quadratic mean dbh (inches) of the newly
recruited snags and the basal area of the trees which die during the decade (i.e., this
information enables the calculation of snag numbers). The yearly and decadal rates of snag
recruitment are calculated.
Output
SRS1 provides tabular and graphical output. The spreadsheet and runtime versions
provide similar information except that the runtime version does not present snag life
tables for individual size classes.
The tables provided are (1) a summary of snag density by decay class and stand age
(Figure 7) and (2) snag life tables for individual size classes (Figure 8). Additionally,
input tables (Figures 4, 5, 6) provide basic summary information and background tables
demonstrate the parameters used in the model.
Graphs are available for (1) snag density by size and decay class, (2) snag density by
size class for the combined decay classes, and (3) graphs of the assumptions of the
midpoint of ages of snags by decay class, cohort survivorship of snags by size class, and
age-class survivorship of snags by size class.
Species and Geographic Applicability
The model is applicable to Oregon and Washington
Douglas-fir - west of the Cascade crest
Ponderosa pine - east of the Cascade ridge
Data Used for Parameterization
Douglas-fir - from Cline et al. 1980
Ponderosa pine - provided by E. Bull, USDA Forest Service, PNW Research Lab, La Grande,
Oregon
****************** SDPM ***********************
Snag Dynamics Projection Model SDPM
The following description is based on a review of the original SDPM done around 1994 by Jeff
Stone, Ministry of Forests, Kamloops, BC. This review should be replaced with a
description of the newer model.
Authors
- Bill McComb
- Department of Forest Science, Oregon State University, Corvallis, OR
- Abdel-Azim Zumrawi
- Department of Forest Science, Oregon State University, Corvallis, OR
- Janet Ohmann
- USDA Forest Service, Forest Inventory and Analysis, Forest and Range Experiment Station,
Portland, OR
- Martin G. Raphael
- USDA Forest Service, Forest Inventory and Analysis, Pacific Northwest Forest and Range
Experiment Station, Olympia, WA
- Michael Morrison
- Department of Forestry, University of California, Berkeley
Availability
Brief Description
SDPM is a snag dynamics model for Douglas-fir, western hemlock, and ponderosa pine. The
model projects the fall down of hard and soft snags and the transition of snags from a
hard to a soft decay class. The user must supply the initial and recruited individual snag
densities and sizes (i.e., not stand level summaries) and site information. The model is
designed to be used in conjunction with individual-tree growth and yield models.
Software Requirements
- Operating System:
- DOS 3.3 or later
- Specific Software:
- SDPM is available in a stand alone DOS executable format. The program was written in
FORTRAN. Additionally, spreadsheet (LOTUS 1-2-3 or QUATTRO) worksheets are available for
the creation of input data sets.
Documentation and Publications Available
Documentation of this program is weak. Only a README.DOC with the program is currently
available. This file describes briefly the background and operation of the program. No
specific user manual is present.
Input
The program requires input data sets and interactively provided information. The
information required includes site information such as slope (%), aspect (degrees), and
stand basal area (initial and growth between projected periods). Individual snag
information includes dbh (inches), decay class (soft or hard), species (Douglas-fir,
western hemlock, or ponderosa pine), and the expansion factor (snags per acre) each tree
represents (based on a single sample point). Figures 1 and 2 demonstrate the input files.
Note that the maximum accumulated number of snags in the input data is 1000 (i.e., array
limitations of the model).
The program runs interactively. The user is prompted first for the remaining snag data
set, the number of sample points, output data set name, a label for the output, and the
number of 10-year cycles. The number of sample points assume that the expansion factors
per tree are based on a single sample point (thus if 2 sample points all expansion factors
are divided by 2). Note the data sets should be in the same sub-directory as the program.
For each 10-year cycle, the program asks for the basal area (ft2/Ac) of the stand at the
end of the previous period (i.e., at the beginning of the new period), number of sample
points, and an input file of newly recruited snags. For input, the program asks if you
first have an input file of newly recruited snags. If you do not, it assumes no snags are
recruited in that decade. Do not use a blank file as input as the program will fail.
Output
The output consists of tables outlining the snags per acre by diameter class and decay
class. For each 10-year period the beginning, 10-year change, and ending values are noted.
Tables are outputted by species and for all species combined.
Species and Geographic Applicability
The model is for 3 species and is applicable to Washington, Oregon and northern
California. Specifically,
Douglas-fir - west of Cascade crest
Western hemlock - west of Cascade crest
Ponderosa pine - east of Cascade crest and northern California
Data Used for Parameterization
Douglas-fir - western Washington (ask McComb for specifics)
Western hemlock - western Washington (ask McComb for specifics)
Ponderosa pine - eastern Oregon and northern California
*********************** UnitPlan ******************
UNITPLAN
The following description is based on a review of UNITPLAN around 1994 by Jeff Stone,
Ministry of Forests, Kamloops, BC. This review should be checked to ensure that no changes
have occurred to the model.
Author
- Matthew G. Hunter
- USDA Forest Service, Willamette National Forest,
- P.O. Box 199, Blue River OR 97413
- Tel: 503-822-3317 ext 268
Brief Description
UNITPLAN is a snag dynamics projection system. The model tracks the densities of snags
over time and their transition among decay classes. The user can also assign a value
(e.g., for nests of a certain species) to a snag class. The user supplies input
information such as the number of natural snags at stand initiation, the number of green
trees converted to snags at stand initiation, the number of green trees left from the
previous stand for later conversion to snags, and the number of snags naturally recruited
(i.e., suppresion mortality). The model was designed to be integrated with other models
used on the Willamette National Forest.
Software Requirements
- Operating System:
- DOS 3.3 or later
- Specific Software:
- UNITPLAN is a Lotus 1-2-3 spreadsheet but should operate with Quattro Pro and Excel.
Documentation and Publications Available
A four page "Overview of UNITPLAN" (Hunter 19 May 1990) and a printed example
of the spreadsheet was provided with the software. The overview describes the model and
input.
Input
The user supplies input for 4 user defined snag classes. These classes may be a species
or size class. For example, class A may be defined as snags 0-7.2", class B as snags
7.3-10.9", class C as snags 11-18.9", and class D as snags greater than 19.0"
dbh. Input is then based on these classes. For snag creation the user supplies information
on the number of snags in each class for (1) the natural snags remaining at the beginning
(Figure 11), (2) green trees immediately converted to snags (Figure 12), (3) green trees
left from previous stand converted to snags at a later date (Figure 13), (4) mortality of
green trees from new stand (Figure 14), and (5) the density of "valuable" snags
present in a stand over time for up to 6 management scenarios (Figure 15). The user can
manipulate the various input classes to suit their individual needs.
The user must supply the transition parameters for (1) the survival of snags from one
period to the next (Figure 16), (2) the percent of surviving snags that are valuable
(Figure 17), and (3) the mid-point age for the decay class (Figure 18). Space is also
provided on each spreadsheet for user provided background notes.
Output
UNITPLAN has 2 main summary tables. These tables provide (1) the summary of valuable
snags per acre of the 5 classes of input trees (Figure 19) and (2) identification of
management action needed (Figure 20). Intermediate summary tables are provided for each
type of snag input (e.g., natural snags remaining) that tracks by 10-year time periods the
density of the input snag information (Figures 21-24). All the tables provide total
summaries and do not divide the snags by user defined class.
Species and Geographic Applicability
The model is general. The user supplies specific information.
Data Used for Parameterization
All parameters in UNITPLAN are user supplied. Example parameters based on Cline et al.
(1980) and Graham (1981) are shown in the example.
******** FVS - Fire Model ***************
FVS - Fire Model
Sorry, we still need to obtain appropriate information on this model
Authors
Availability
Brief Description
Software Requirements
Documentation and Publications
Input
Output
Species and Geographic Applicability
Data Used for Model Parameterization
******** TASS DDT-TL ***************
TASS Dynamics of Dead Trees - Tree Level DDT-TL
Authors
- Jeff Stone
- Southern Interior Forest Region
B.C. Ministry of Forests
- 515 Columbia Street
- Kamlops BC V2C 2T7 Canada
- jeff.stone@gems7.gov.bc.ca
Availability
The TASS model is not distributed. A Windows program (TIPSY) incorporating a database of thousands of TASS runs
is available for download.
Brief Description
TASS is a growth and yield model that simulates the growth of individual trees within a stand.
The growth of a tree (i.e., the stem) is based on the development of the tree’s crown
in response to internal growth regulation, the physical restrictions imposed by
neighbouring trees, stochastic environmental factors, and imposed silvicultural treatments.
Because of its individual tree and crown structure, many silvicultural practices
(e.g., planting patterns, thinning) can be simulated.
A logistic fall model for dead trees was incorporated into the TASS model.
The fall model calculates a probability that a tree will fall
based on the tree's diameter and the time since a tree's death.
A tree is assumed to fall when this probability is equal to a randomly chosen probability.
Parameters for the model have been derived from permanent sample plot data.
Documentation and Publications
Currently, there is no published documentation of the standing dead tree model.
An early example of the standing dead tree model is described in
Stone, J.N. 1996. Modelling the dynamics of dead trees in TASS and WinTIPSY.
FRDA Research Memo 227, Ministry of Forests, Victoria BC.
This memo can be viewed at http://www.for.gov.bc.ca/hfd/pubs/docs/frm/frm227.pdf
Input
TASS requires a variety of start-up information (e.g., initial planting density and distribution, species, site index).
The standing dead tree model other than identifying that the output is desired requires
no input. Modification to parameters is accomplished by directly modifying
the C code.
Output
For each time step in the stand's development, the snag summary table provides information on
the current stems per ha of standing dead trees, the mean time since their death, mean quadratic
diameter at 1.3 m height, mean total height, basal area, total volume,
and a dbh size class distribution in stems per ha.
Species and Geographic Applicability
TASS has been parameterized for many of the commercial tree species of British Columbia.
The standing dead tree model has only been parameterized from a limited data
set for coastal Douglas-fir, coastal western hemlock, and lodgepole pine. Other species default to the coefficents
for Douglas-fir.
Data Used for Model Parameterization
Standing dead tree data for Douglas-fir and western hemlock were collected from permanent sample plots of a single growth and yield
research project located at 85 locations on Vancouver Island and
coastal mainland British Columbia.
Lodgepole pine parameters were derived from permanent sample plots near Canal Flats in
the Southern Interior Forest Region of British Columbia.
Further data are to be collected as part of the existing
provincial wide growth and yield permanent sample plot program.
******** TIPSY Snag Model ***************
TIPSY Snag Model
Authors
- Jeff Stone
- Southern Interior Forest Region
B.C. Ministry of Forests
- 515 Columbia Street
- Kamlops BC V2C 2T7 Canada
- jeff.stone@gems7.gov.bc.ca
- Ramsoft Ltd.
- Victoria, BC
- ramsoft@islandnet.com
Availability
TIPSY is available free of charge at the following web site
http://www.for.gov.bc.ca/hre/gymodels/Tipsy/
Brief Description
TIPSY (Table Interpolation Program for Stand Yields) is a growth and yield model used in
silvicultural decisions and timber supply analysis in British Columbia.
TIPSY is based upon the interpolation of a set of yield tables from TASS, a British Columbia
Ministry of Forests and Range individual tree growth and yield model.
Additional features such as economic analysis have been developed specifically for TIPSY.
The snag model option of TIPSY estimates the number of standing dead trees by applying
the dead tree fall probability from a logistic model to
stand level estimates of the number of standing dead trees in diameter classes.
Software Requirements
Windows-based personal computer.
Documentation and Publications
The Snag model within TIPSY is described in the Help files contained with the program.
An early example of the model is also described in
Stone, J.N. 1996. Modelling the dynamics of dead trees in TASS and WinTIPSY.
FRDA Research Memo 227, Ministry of Forests, Victoria BC.
The memo can be viewed at http://www.for.gov.bc.ca/Hfd/pubs/docs/Frm/frm227.pdf
Input
In additon to standard TIPSY input,
the snag model enables you to input the coefficients from a logistic regression model
associated with the diameter class, years since death, and the interaction of
years since death and diameter class. Default coefficients are provided.
Output
A table of the number of snags per hectare by diameter class for each age step is provided.
Species and Geographic Applicability
TIPSY provides yields for most of the commerically important coniferous species in coastal
and interior British Columbia forests. The snag model default parameters for coastal Douglas-fir (Fdc) and western
hemlock (Hwc) and for lodgepole (Pl) are derived from growth and yield permanent sample plot data.
Snag model defaults for other species were arbitrarily derived relative to these 3 species.
Data Used for Model Parameterization
Standing dead tree data for Douglas-fir and western hemlock were collected from permanent sample plots of a single growth and yield
research project located at 85 locations on Vancouver Island and
coastal mainland British Columbia.
Lodgepole pine parameters were derived from permanent sample plots near Canal Flats in
the Southern Interior Forest Region of British Columbia.
Further data are to be collected as part of the existing
provincial wide growth and yield permanent sample plot program.
The default cofficients used only non-treated (control) plots. The sample size for each species is:
| Species | Locations | PSPs | Max.Yrs | Trees Up | Trees Down |
| Fdc | 23 | 46 | 22 | 1518 | 2468 |
| Hwc | 8 | 16 | 21 | 1063 | 1074 |
| Pl | 1 | 2 | 41 | 28 | 255 |
******** CWD Model ***************
CWD Woody Debris Recruitment Simulator
Authors
- Don C. Bragg
- School of Natural Resources and Environment, University of Michigan, 430 East
University (Dana Building), Ann Arbor, MI 48109-1115. Tel: (734) 615-2215. E-mail:
DonCBragg@netscape.net
- Jeffrey L. Kershner
- USDA Forest Service Fish Ecology Unit, Department of Fisheries and Wildlife, Utah
State University, Logan, UT 84322-5215. Tel: (435) 797-2500. E-mail:
kershner@cc.usu.edu
Availability
CWD version 1.4 is currently available only for the Utah and Teton variants of FVS.
Plans are in the works for the development of a generic version of CWD to work with any variant
of FVS. Species are limited to those found in the Utah and Teton variants. Also, CWD version
1.4 ONLY works with FVS version 6.1 (future versions will work with the newer variants of
FVS).
Brief Description
CWD is a riparian large woody debris (LWD) recruitment simulator that acts as a post-processor to dead tree output provided by the Forest Vegetation Simulator (FVS). All live stand
dynamics and disturbances occur within FVS, which produces a dead tree list file that CWD
processes into cyclic (10 yr) recruitment patterns. CWD is responsible for snag dynamics,
including snag longevity, direction of fall, fragmentation, and channel recruitment.
Documentation and Publications Available
Documentation on the assumptions and operation of CWD is in the final publication
stages with the USFS Rocky Mountain Experiment Station. General release of this information
(both in paper and over the web) will probably happen in the next few months. Once available,
the USFS Fish Ecology Unit home page will likely have a section dedicated to CWD. Numerous
journal and technical publications displaying simulation results are already in print (or in press).
Contact Don C. Bragg (DonCBragg@netscape.net) for reprints.
Software Requirements
Operating system: Version 1.4 runs in a DOS console application, so it will run in
DOS (preferably version 6 or higher) or a DOS window sponsored
by Windows 3.x, Windows 9x, or Windows NT.
Specific software: Written in FORTRAN as a stand-alone application.
Input
Input requirements are minimal. The FVS dead tree list file (minus text headers) is
entered into CWD, then processed. There are a number of subroutines that allow for some
customization of CWD.
Output
Several files are created detailing model processing, recruitment patterns, and recruited
LWD demographics. These are ASCII files that can be further analyzed using spreadsheets or
statistical packages.
Data Used for Model Parameterization
Data used in the parameterization of CWD came from a 1995 field inventory of old-
growth spruce-fir conditions on the Bridger-Teton National Forest. These data are described in
the soon-to-be-released user's guide.
Models: Down Dead Tree Models
******************** SRS ********************
******** TASS CWD ***************
TASS CWD Model
Authors
- Jeff Stone
- Southern Interior Forest Region
B.C. Ministry of Forests
- 515 Columbia Street
- Kamlops BC V2C 2T7 Canada
- jeff.stone@gems7.gov.bc.ca
Availability
The TASS model is not distributed.
Brief Description
TASS tracks individual trees from live to a down dead state.
A simple exponential decay model provides some stand level decay dynamics ability for down dead trees.
TASS is a growth and yield model that simulates the growth of individual trees within a stand.
The growth of a tree (i.e., the stem) is based on the development of the tree’s crown
in response to internal growth regulation, the physical restrictions imposed by
neighbouring trees, stochastic environmental factors, and imposed silvicultural treatments.
Because of its individual tree and crown structure, many silvicultural practices
(e.g., planting patterns, thinning) can be simulated.
Documentation and Publications
Currently, there is no published documentation of the down dead tree model.
Input
TASS requires a variety of start up information (e.g., initial planting density and distribution, species, site index).
The down dead tree model enables the user to override
the default decay rates.
Output
For each time step in the stand's development,
the down dead tree summary table provides information
on the trees that became down dead trees in that period. The information includes
stems per ha, the mean time since their death, mean quadratic
diameter at 1.3 m height, mean total length, basal area, total volume,
a dbh size class distribution in stems per ha.
A total accumulated volume is provided at each step.
This amount is the sum of volume of inputs from stand initiation less an amount for decay
calculated with a simple exponential decay function.
Coarse woody debris from the previous stand is not counted.
Species and Geographic Applicability
TASS has been parameterized for many of the commercial tree species of British Columbia.
The CWD model default parameters are expert-derived estimates of the decay rate for the commerically important species.
Data Used for Model Parameterization
No data were used to parameterize the model.
******** TIPSY CWD Model ***************
TIPSY Snag Model
Authors
- Jeff Stone
- Southern Interior Forest Region
B.C. Ministry of Forests
- 515 Columbia Street
- Kamlops BC V2C 2T7 Canada
- jeff.stone@gems7.gov.bc.ca
- Ramsoft Ltd.
- Victoria, BC
- ramsoft@islandnet.com
Availability
TIPSY is available free of charge at the following web site
http://www.for.gov.bc.ca/hre/gymodels/Tipsy/
The CWD option is available in the current version of TIPSY that will be released
shortly.
Brief Description
TIPSY (Table Interpolation Program for Stand Yields) is a growth and yield model used in
silvicultural decisions and timber supply analysis in British Columbia.
TIPSY is based upon the interpolation of a set of yield tables from TASS, a British Columbia
Ministry of Forests individual tree growth and yield model.
Additional features such as economic analysis have been developed specifically for TIPSY.
The coarse woody debris model option of TIPSY provides
information on the number and size distribution of dead trees that have fallen.
It provides an accumulated volume summary of CWD that can include an exponential decay model.
Software Requirements
Windows-based personal computer.
Documentation and Publications
The CWD model within TIPSY is described in the Help files contained with TIPSY.
Input
In additon to standard TIPSY input,
the CWD model enables you to input the coefficients for a simple
exponential decay model. Default coefficients are provided.
Output
A table of the number of snags per hectare by diameter class for each age step is provided.
Species and Geographic Applicability
TIPSY provides yields for most of the commerically important coniferous species in coastal
and interior British Columbia forests. The CWD model default parameters are expert
derived estimates of the decay rate for the commerically important species.
Data Used for Model Parameterization
No data were used to parameterize the model.
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