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Keyword: simulation modeling

Computer simulation modeling of recreation use: Current status, case studies, and future directions

Publications Posted on: June 22, 2020
This report compiles information about recent progress in the application of computer simulation modeling to planning and management of recreation use, particularly in parks and wilderness. Early modeling efforts are described in a chapter that provides an historical perspective. Another chapter provides an overview of modeling options, common data input requirements, and useful model outputs.

Temporal patterns of ecosystem processes on simulated landscapes in Glacier National Park, Montana, USA

Publications Posted on: February 27, 2020
The mechanistic, spatially-explicit fire succession model, Fire-BGC (a Fire BioGeoChemical succession model) was used to investigate long-term trends in landscape pattern under historical and future fire regimes and present and future climate regimes for two 46 000 ha landscapes in Glacier National Park, Montana, USA.

Disturbance regimes and the historical range and variation in terrestrial ecosystems

Publications Posted on: January 31, 2017
Disturbances are major drivers of ecological dynamics and it is the cumulative effects of disturbances across space and time that define a disturbance regime and dictate biodiversity by influencing the ranges of vegetation structures, compositions, and processes on landscapes.

Decision support systems for ecosystem management: An evaluation of existing systems

Publications Posted on: May 12, 2016
This report evaluated 24 computer-aided decision support systems (DSS) that can support management decision-making in forest ecosystems. It compares the scope of each system, spatial capabilities, computational methods, development status, input and output requirements, user support availability, and system performance.

Case studies of simulation models of recreation use

Publications Posted on: May 12, 2016
Computer simulation models can be usefully applied to many different outdoor recreation situations. Model outputs can also be used for a wide variety of planning and management purposes. The intent of this chapter is to use a collection of 12 case studies to illustrate how simulation models have been used in a wide range of recreation situations and for diverse planning and management applications.

Future directions for simulation of recreation use

Publications Posted on: May 12, 2016
As the case studies in Chapter 4 illustrate, simulation modeling can be a valuable tool for recreation planning and management. Although simulation modeling is already well developed for business applications, its adaptation to recreation management is less developed. Relatively few resources have been devoted to realizing its potential. Further progress is needed in refining the models, and their inputs and outputs.

Historical Development of Simulation Models of Recreation Use

Publications Posted on: May 12, 2016
The potential utility of modeling as a park and wilderness management tool has been recognized for decades. Romesburg (1974) explored how mathematical decision modeling could be used to improve decisions about regulation of wilderness use. Cesario (1975) described a computer simulation modeling approach that utilized GPSS (General Purpose Systems Simulator), a simulation language designed to deal with scheduling problems.

Why Model Recreation Use?

Publications Posted on: May 12, 2016
As the demographics of public land recreational visitors change, planners and managers of public lands face the challenge of protecting resources while providing high quality visitor experiences.

Overview of Computer Simulation Modeling Approaches and Methods

Publications Posted on: May 12, 2016
The field of simulation modeling has grown greatly with recent advances in computer hardware and software. Much of this work has involved large scientific and industrial applications for which substantial financial resources are available.

Development of full regeneration establishment models for the forest vegetation simulator

Publications Posted on: January 28, 2016
For most simulation modeling efforts, the goal of model developers is to produce simulations that are the best representations of realism as possible. Achieving this goal commonly requires a considerable amount of data to set the initial parameters, followed by validation and model improvement – both of which require even more data.