Forestry and Agricultural Sector Optimization Model - Greenhouse Gas Version



General Information

Database Identifier 11884
EIMS Entry Id
Information Resource Identifier 11884
Information Resource Long Title Forestry and Agricultural Sector Optimization Model - Greenhouse Gas Version
Information Resource Short Title FASOM-GHG
Acronym FASOM-GHG
Short Description FASOM-GHG is a multi-period, intertemporal, price-endogenous, mathematical programming model simulating future potential policy impacts on land use, markets and GHG fluxes between and within the U.S. agricultural and forest sectors.
Long Description FASOM-GHG is a dynamic, multi-period, intertemporal, price-endogenous, mathematical programming model depicting land transfers and other resource allocations between and within the agricultural and forest sectors in the US. The model solution portrays simultaneous market equilibrium over an extended time, typically 40 to 100 years on a five year time step basis. The results from FASOM-GHG yield a dynamic simulation of prices, production, management, consumption, GHG effects, and other environmental and economic indicators within these two sectors, under the chosen policy scenario. The model simulates the potential allocation of land over time to competing activities in both the forest and agricultural sectors. In doing this it simulates the potential consequences of different modeled policies for the commodity markets supplied by these lands and the net greenhouse gas (GHG) emissions. The model was developed to evaluate the welfare and market impacts of public policies and environmental changes affecting agriculture and forestry. To date, FASOM-GHG and its predecessor models FASOM and ASM have been used to examine the effects of GHG mitigation policy, climate change impacts, public timber harvest policy, federal farm program policy, bioenergy prospects, and pulpwood production by agriculture among other policies and environmental changes.
Ownership Type Non-EPA Resource
Information Resource Type Model
On Official System Inventory No
Current Version Number
Current Version Operational Start Date
Alternate Names
Alternate Name Known As From Date Known As To Date
FASOM
FASOMGHG
Created Date 2011-09-01 06:56 PM

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Organization Information

Organization Name Organization Role
EPA / OAR / OAP / CCD - Climate Change Division Primary Managing Organization

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Point of Contact

Name No contact specified
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Access

URL Table
URL Type
http://agecon2.tamu.edu/people/faculty/mccarl-bruce/FASOM.html Internet
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READ Public Display Approved Yes
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SSRC Associated Resources

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Record Schedule

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Resource Relationships

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Data Exchanges

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Customers
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Strategic Plans

There are no Strategic Plans entries specified for this information resource.

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Statutes And Regulations

Statutes/Regulations are not applicable for this information resource.

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Management Initiatives

There are no management initiatives specified for this information resource.

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Life-Cycle

Current Life-Cycle Phase Operations and Maintenance
There are no life-cycle phase versions specified for this information resource.
Anticipated date of a new version

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2022 Related Capital Planning and Investment Control (CPIC) Codes

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2021Related Capital Planning and Investment Control (CPIC) Codes

There are no CPIC codes specified for this information resource.

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Users

General User Types
  • Academia
  • General Public
  • Government
  • NGO/Non-profit
  • Private Sector

EPA Users - AAShips
  • EPA / OAR - Office of Air and Radiation

EPA Users - Regions
There are no EPA Users - Regions specified for this information resource.

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Technology Requirements

Computer Hardware: GAMS
Compatible Operating Systems: Mac, UNIX/Linux, Windows
Other software requirements (if any): Other

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Model Inputs

Model Inputs Description: forestry and agriculture biophysical/natural science and economic information, related market/commodity information, GHGs, land use area for more information, see http://agecon2.tamu.edu/people/faculty/mccarl-bruce/FASOM.html
Data Requirement: Low - Data Generally Publicly Available


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Model Outputs

The solution to the nonlinear programming problem provides information in eight areas: Consumers' and producers' welfare Agricultural production and prices Forest area and inventory volumes Harvest levels and prices Wood product output and prices Land and forest asset values Carbon sequestration amounts and "prices" Land transfers

Model Output Types: Data (spreadsheet, database)

Model Output Variables:

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User's Guide

User's Guide URL User's Guide Name User's Guide Size User's Guide Type User Guide's Description User Guide's Format Type User Guide's Public Flag
http://agecon2.tamu.edu/people/faculty/mccarl-bruce/FASOM.html FASOM documents URL UNKNOWN Yes

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Other Documents

There are no Other User Documents specified for this information resource.

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User Support

Not Applicable
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User Qualifications

Understanding of: forest and agriculture ecosystems and related commodity markets/economics, GHG accounting, economic model functions, model programming, GAMS

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Details

Base Software Cost:
Recurring Annual Cost:
Open Source:
Other Cost Considerations: GAMS license needed for running model
Software Version:
Last Known Software Update:


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Problem Identification

FASOMGHG is a multiperiod, intertemporal, price-endogenous, mathematical programming model depicting land transfers and other resource allocations between and within the agricultural and forest sectors in the US. The model solution portrays simultaneous market equilibrium over an extended time, typically 30 to 100 years on a five-year time step basis. The results from FASOMGHG yield a dynamic simulation of prices, production, management, consumption, GHG effects, and other environmental and economic indicators within these two sectors, under the scenario depicted in the model data.

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Model Structure

FASOMGHGs key endogenous variables include: commodity and factor prices, production, consumption, export and import quantities, land use allocations between sectors, management strategy adoption, resource use, economic welfare measures, producer and consumer surplus, transfer payments, net welfare effects, environmental impact indicators, GHG emission/absorption of carbon dioxide (CO2), methane (CH4), and nitrous oxide (N2O) surface, subsurface, and groundwater pollution for nitrogen, phosphorous, and soil erosion. FASOMGHG is dynamic in that it solves for the simultaneous multi-market, multi-period equilibrium across all agricultural and wood product markets, and for all time periods within the specified time horizon. Thus it produces an intertemporal, intersectoral land market dynamic equilibrium. FASOMGHG embodies a nonlinear objective function, representing the sum of producers and consumers surpluses in all of the included product and factor markets. It is price-endogenous because the prices of the products produced and the factor inputs used in the two sectors are determined in the model solution. Finally, FASOMGHG is a mathematical programming model because it uses numerical optimization techniques to find the multi-market price and quantity vectors that simultaneously maximize the value of an objective function, subject to a set of constraints.

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Model Evaluation

Brief description and/or references, as available, pertaining to: verification of code; corroboration of model results with observations of real systems; sensitivity analysis; uncertainty analysis; comparisons with other models regarding accuracy and predictive capacity; and any peer review references: over 30 years of studies and documentation. A peer review of the model is available at www.epa.gov/climatechange/EPAactivities/economics/modeling/peerreview_FASOM.html Other studies based on FASOM-GHG and model documentation are available at: http://agecon2.tamu.edu/people/faculty/mccarl-bruce/ and www.cof.orst.edu/cof/fr/research/tamm/forest_and_agriculture_sector_op.htm

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Model Scope

Model Scope Definition: FASOM-GHG is a multi-period, intertemporal, price-endogenous, mathematical programming model depicting land transfers and other resource allocations between and within the U.S. agricultural and forest sectors. The model solution portrays simultaneous market equilibrium over an extended time, typically 40 to 100 years on a five year time step basis.
Decision Sector:
Time Scale: Multi-Year
Spatial Extent: Region
Technical Skills Needed to Apply Model: Model Calibration


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Case Studies Documents

Not Applicable

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Model Types

General Model Type:
Economic/Behavioral:
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Releases to the Environment

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Ambient Conditions

Media:
Simulation of natural or engineered systems:
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Exposure or Uptakes

Not Applicable
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Indicators

Human Health Indicators: Not Applicable

Ecological Indicators:
Damage:
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Keywords


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