Difference between revisions of "LMS"
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[Describe the level of use: Research level use, Industry use, Government use.] | [Describe the level of use: Research level use, Industry use, Government use.] | ||
− | + | LMS has been used by governmental agencies at the state and federal levels (and also by private landowners & consulting foresters?). A number of cases are available on the website: | |
− | + | * Chernobyl | |
+ | * Indian Island - DoD, NDCEE | ||
+ | * Maine | ||
+ | * Mid Forest Lodge, MI | ||
+ | * Pack Forest, WA | ||
+ | * San Carlos Apache, AZ | ||
+ | * Satsop, WA | ||
+ | * Solduc, WA | ||
=== Computational limitations === | === Computational limitations === |
Revision as of 22:45, 11 September 2010
General System description
System Name: Landscape Management System
Acronym: LMS
Brief overview
LMS coordinates the flow of information among existing growth models, computer visualization software, and analysis tools to allow the user to simulate the growth and management of stands and landscapes and to view the outcomes.
Contents
Scope of the system
The Landscape Management System (LMS) and companion tools are an evolving set of computer applications designed to facilitate the analysis and communication of landscape-scale forest management decisions. They use standard inventory information to integrate many analyses and predict complex changes in stands and landscapes over time. The Microsoft Windows computer-based system coordinates the flow of information among existing growth models, computer visualization software, and analysis tools to allow the user to simulate the growth of stands and landscapes and to view the outcomes using a "point-and-click" system. Preferred management scenarios are developed in LMS by evaluating multiple projections that can be done either at the stand or landscape level. Companion tools allow the user to develop and compare many alternatives very rapidly.
System origin
Support for specific issues
- Trade-off methods
- Risk analysis
- Landscape planning
Support for specific thematic areas of a problem type
- Silvicultural
- Certification
- Conservation
- Restoration
- Policy /intervention alternatives
Capability to support decision making phases
Related systems
- Forest Vegetation Simulator & ORGANON: growth models
- Stand Visualization System (SVS): stand visualization
- Envision: landscape visualization
- Toggle: facilitates the generation of treatment alternatives
Data and data models
Typical spatial extent of application
- Multi-owner forest
- Single-owner forest
- Site
Forest data input
- Forest
- Stand
- Tree
Type of information input from user (via GUI)
- Management
- Biophysical
Models
Forest models
- Silvicultural
- Fire
Social models
Decision Support
Definition of management interventions
[Define what is available for the manager to intervene in the forest: time of harvest, plantations, thinnings, reconversions...Existence of prescription writer, simple enumeration of all possibilities, scenario simulation , etc.]
Typical temporal scale of application
[Define the temporal scale of the application: E.g., operational and immediate level, Tactical planning (short term) and strategic level.]
Types of decisions supported
Decision-making processes and models
- Simulation
- Evaluation
Output
Types of outputs
- 20 standard tables: standing and/or harvested volume, inventors wind hazard, habitat suitability for different species, costs and returns and other features.
- Visualizations of conditions via companion programs: landscape (Envision) and stand (SVS)
Spatial analysis capabilities
Abilities to address interdisciplinary, multi-scaled, and political issues
Produces coordinated results for decision makers at different scales: Capability to evaluate landscapes as an aggregate of stands.
Facilitates social negotiation / learning: Useful in demonstration of silvicultural alternatives for evaluation of alternatives.
System
System requirements
Operating systems: Windows2000, WindowsXP
Other software needed: Includes FVS growth models, and WinSVS & Envision visualization systems.
Development status: Regularly distributed
Architecture and major DSS components
[Describe the basic architecture of the system in software and hardware. Desktop client-server, web based, as well as the integration with available systems.Basic data flow, focusing on retrieval of required input and propagation and implementations of decisions. Mention its modular and scalability capabilities.]
Usage
[Describe the level of use: Research level use, Industry use, Government use.]
LMS has been used by governmental agencies at the state and federal levels (and also by private landowners & consulting foresters?). A number of cases are available on the website:
- Chernobyl
- Indian Island - DoD, NDCEE
- Maine
- Mid Forest Lodge, MI
- Pack Forest, WA
- San Carlos Apache, AZ
- Satsop, WA
- Solduc, WA
Computational limitations
[Describe the system limitations: e.g. number of management units, number of vehicles, time horizon.]
User interface
User interface quality:
Complexity of system / user interface: (Medium)
Documentation and support
Documentation: Windows Help File, Tutorials (pdf) on-line or distributed on CD-ROM.
Training: 10+ tutorials are available online. Online discussion group. 2-3 day training sessions offered (see web site).
Installation
Prerequisite knowledge needed: Forestry knowledge useful. Microsoft Excel useful for customized analysis.
Cost: Free
Demo:
References
Cited references
External resources
Website: http://lms.cfr.washington.edu/
- Marzluff, J. M., J. J. Millspaugh, K. R. Ceder, C. D. Oliver, J. Whithey, J. B. McCarter, C. L. Mason, and J. Comnick. 2002. Modeling changes in wildlife habitat and timber revenues in response forest management. Forest Science 48:191-202.
- McCarter, J.B., J.S. Wilson, P.J. Baker, J.L. Moffett, and C.D. Oliver. 1998. Landscape management through integration of existing tools and emerging technologies. Journal of Forestry. June 1998:17-23.
- Comnick, J.M. 2002. Development and Application of a Decision Support Tool to Analyze Alternatives for Landscapes Composed of Multiple Ownerships. College of Forest Resources. Seattle, WA : University of Washington.