PROGRESS REPORT:
INTEGRATED MODELING PROJECT (IMP) MAY 1997
-
SECOND STEERING COMMITTEE MEETING
The second Steering Committee meeting was held on Feb 6-7, 1997 in Raleigh,
NC. The meeting was chaired by Steve McNulty, Director of the Southern
Golbal Change Program of the USDA Forest Service, Raleigh, NC. The following
persons participated in the meeting :
Steering Committee -
Pat Brewer, Dick Daniels, Susan Fox, Dave Kicklighter,
Al Lucier, Steve McNulty,
Bob Teskey
Guests -
Mark Ducey, Harbin Lee, Arthur Sampson, Ge Sun,
David Wear
IMP Investigators -
Ralph Amateis, Clark Baldwin, Michael Berry, Bill
Hargrove, Dale Johnson, Bob Luxmoore, Steve McNulty, Bob Mickler, Karen
Minser, Kelly Peterson, Mac Post
The meeting was conducted with four components:
Report on IMP developments since the August 96 meeting, Responses to Steering
Committee comments, Scope of forest assessment, IMP assignments for next
year.
-
IMP DEVELOPMENTS
-
Linked Dynamic Model Components:
NuCM has been calibrated for the slash pine site in Gainesville, FL. The
PnETIIS code was converted to FORTRAN and linked to PRISM for sensitivity
and uncertainty analysis. Some adjustments to the MAESTRO code were made.
Sensitivity analysis results for MAESTRO, NuCM, and PnETIIS were completed
and summarized. Sensitivity analysis of all component codes of the Linked
Dynamic Model is now complete. NuCM is used to determine soil nutrient
limitations on forest growth predictions from LINKAGES and PnETIIs. If
soil limitations are predicted, then the nutrient-limited growth predictions
from NuCM will be adopted in further analyses. The protocols for nutrient
limitations on forest growth have been tested in NuCM applications. Initial
simulations of water, nitrogen deposition, and (quasi) elevated CO2 effects
on forest growth have been undertaken with NuCM.
-
GIS and Clustering:
The GIS map layer development is continuing for use in regional modeling.
A first draft of a soil N map was developed from STATSGO and a soil taxonomy
database. Some simplifying assumptions were made in map development to
overcome the lack of some soil N data. A revision of the map will be made
to account for the proportion of coarse fragments in the soils. An initiative
to determine the QA/QC basis of the databases (e.g., STATSGO, RPA) used
in GIS map development is underway. Bob Mickler is working with Bill Hargrove
on this important issue. A statistical technique for determining landscape
clusters from selected attributes is being developed. The method may be
applied independently with the selected attributes or within the structure
of a selected land classification scheme. (Approximately 750-1000 clusters,
each with relatively similar attributes, will be used for regional assessment
with the parallel version of LUCAS). Following the Steering Committee meeting
in Feb. 97, the 13- state IMP region has been successfully clustered into
255 divisions, at 5 km resolution, using 6 tree growth variables: mean
annual temperature, mean annual rainfall, elevation, soil available water
content, soil organic matter, and soil nitrogen. A report of this work,
in electronic form, will be posted on the Internet.
-
Response Surfaces:
The NetCDF software is now used at the Univ. of TN, Knoxville for storing
results as response surfaces from simulators of the Linked Dynamic Model.
A method for estimating response surface values for conditions between
those with simulated values, using multidimensional interpolation, is undergoing
refinement and testing. Files of simulation results are called simabases
in this project so as to be distinct from database files containing measurements.
-
Growth Types:
Growth types (normalized tree height as a function of age) have been derived
for all southern pines from analysis of 436 growth curves from a broad
range of locations. Of these growth curves, 354 were suitable for detailed
analysis. Base ages of 25 and 40 years were determined as the best combination
for calculation of growth types. Smooth curves were fitted to the growth
types. These curves will be incorporated into the LINKAGES model for determination
of the simulated growth type resulting from specific modeling scenarios.
The simulated growth types for loblolly pine will be used as indicators
of how other pine species may respond to the modeling scenario. A manuscript
on the calculation of growth types using data for a range of southern pine
species has been drafted.
-
SCOPE OF FOREST ASSESSMENT
Three dominant forest types will be the main focus of the regional assessment.
These are loblolly pine, slash pine, and deciduous forest. The IMP investigators
suggest the follow ranges for environmental variables: atmospheric CO2
(270-600 uL/L) ozone exposure (0 - 200 uL.h/L) annual N deposition (0 -
20 kgN/ha) precipitation (0 -120 dry days, based on soil water status)
temperature (2500 - 7000 degree C.days)
-
IMP PLANS
A summary list of IMP components and lead person(s) outlines the direction
of IMP with planned activities as follows:
-
MAESTRO (Baldwin/Peterson)
Complete application to Athens, GA data Initiate applications for the SETRES
(NC) and ECOPHYS (LA) sites
-
SPM (Cropper)
Test and modify SPM as needed to match eddy covariance flux data from the
slash pine site at Gainesville (FL) Revise sensitivity analysis for the
modified SPM (Tharp) Develop frequency distributions for sensitive variables
Apply SPM to a mensuration site in the western range of slash pine
-
UTM (Luxmoore/Tharp)
Assemble meteorological data for 1993-96 from Walker Branch watershed (TN)
in UTM format Test UTM with eddy covariance data and ecophysiological data
for eastern deciduous forest sites on Walker Branch watershed Calibrate
UTM with MAESTRO results from field applications Assemble data for SETRES
site and test the calibrated UTM code
-
LINKAGES (Tharp/Post)
Apply LINKAGES to the SETRES (NC), ECOPHYS (LA), OKIES (OK), and Walker
Branch (TN) sites Develop a slash pine version of LINKAGES and apply to
Gainesville (FL) site Conduct resolution test: What level of growth increment
gives a significant response? (e.g., uncertainty analysis with growth increments
of 0.9, 1.0, and 1.1)
-
NuCM (Johnson)
Calibrate NuCM for the SETRES (NC) site Identify potential soil nutrient
limitations for high growth rate forests at calibrated sites for cases
with and without N deposition
-
PnETIIS (McNulty)
Develop frequency distributions for sensitive variables Develop for cluster-based
assessment
-
PTAEDA2 (Tharp/Amateis)
Apply to SETRES (NC), ECOPHYS (LA), and OKIES (OK) sites Develop for cluster-based
assessment Conduct resolution test: What level of change in site index
gives a significant response? (e.g., uncertainty analysis with 19.3, 19.5,
and 19.7 m site indices)
-
GROWTH TYPES (Zeide)
Complete manuscript for growth types of southern pine species Develop relationships
between the growth types of loblolly pine and the growth type of other
southern pines growing loblolly Initiate approach for linking growth types
to forest productivity
-
RESPONSE SURFACE SOFTWARE (Minser/Berry)
Complete software development for response surface generation and management
using C++ and NetCDF Complete and test multi-dimensional interpolation
approach Develop graphical display of interpolated response surfaces
-
GIS Maplayers (Hargrove)
Develop maplayers for regional applications Determine QA/QC for databases
used in maplayers (Mickler) Complete cluster characterization for 13-state
region Establish cluster-based maplayer structure
-
LUCAS (Minser/Berry)
Set up parallel version of LUCAS for cluster-based assessment
-
IMP WEB PAGE (Minser/All)
Continue web site development
-
PRODUCTS (All, lead contributor shown)
GIS maplayers available by registration at IMP Website (Hargrove) Paper
on a customized ecoregions (Hargrove) Overview paper for IMP (Luxmoore)
Paper on growth types (Zeide) Paper on NuCM applications (Johnson)
-
OTHER DEVELOPMENTS
Dr. David Wear is determining transition probabilities for land use change
on a county basis for the 13 state region from an analysis of historical
land use records. This work will be completed next year, and will provide
information that can be incorporated into LUCAS for assessment of land
use change effects. Discussions will continue on cooperation between IMP
and the land use change investigations.