1. General Model Information
Name: Soil Landscape Model for Soil Organic Carbon of Bell, Bates and Gugal
Acronym: SLM
Main medium: terrestrial
Main subject: biogeochemistry
Organization level: landscape
Type of model: ordinary differential equations
Main application:
Keywords: carbon storage, ecosystem, carbon dynamics, GIS, landscape
Contact:
Jay Bell
Department of Soil Science University of Minnesota
1991 Upper Buford Circle St. Paul, MN 55108
Phone: 612 625-6703
Fax: 612 625-2208
email: jay.bell@soils.umn.edu
Author(s):
Abstract:
The Soil Landscape Model for Soil Organic Carbon of Bell, Bates and Gugal is a
model currently under development as part of the USGCRP. The purpose of the
model will be to predict carbon storage at the ecosystem level based on soil,
vegetation and topographic parameters. It is expected that this model will aid
researchers in predicting carbon dynamics under varying scenarios of climate
change.
The model uses GIS thematic data layers stored in a digital database using 10
x 10m grid cells. Carbon storage will be estimated for each grid cell in order
to predict spatial patterns of carbon storage at the landscape level. Input
data will be soil type, vegetation cover and topographic parameters such as
slope, steepness, slope curvature and landscape position. The model output
will consist of cell by cell estimates of carbon storage. Cells can be
aggregated to display carbon storage at the landscape level. The model will
use the GISMO modeling module of ERDAS (ERDAS Inc., Atlanta). The model is
currently being calibrated using several data sources. It is expected that a
final functional model will be available at the end of 1993.
Author of the abstract:
CIESIN
II. Technical Information
II.1 Executables:
Operating System(s): UNIX-based workstation using x-windows
II.2 Source-code:
Programming Language(s): The model will run using the KHORDS image processing program.The model will run using the KHORDS image processing program.
II.3 Manuals:
II.4 Data:
III. Mathematical Information
III.1 Mathematics
III.2 Quantities
III.2.1 Input
Basic data inputs include digital maps of vegetative cover, and topographic parameters such as slope steepness, slope curvature, and landscape position. Model Input Data Source: Model input data can be derived from soil surveys, vegetative inventories, and digital elevation models (DEMs).
III.2.2 Output
Model output data will consist of cell by cell estimates of total organic carbon storage. Cells can be aggregated to display C-storage at the landscape level. Temporal Scale: The model describes/ predicts point-in-time estimates of C storage.
IV. References
V. Further information in the World-Wide-Web
Soil Landscape Model for soil organic carbon at the CIESIN database
VI. Additional remarks
This model could be used to examine large-scale nutrient cycling anddifferences in nutrient cycling across ecological gradients. Author: CIESIN
Last review of this document by:
Status of the document:
last modified by
Tobias Gabele Wed Aug 21 21:44:49 CEST 2002