ForestSim: Spatially explicit agent-based modeling of non-industrial forest owner policies
Authored by R Zupko, M Rouleau
Date Published: 2019
DOI: 10.1016/j.softx.2019.01.008
Sponsors:
No sponsors listed
Platforms:
MASON
GeoMason
Model Documentation:
Other Narrative
Flow charts
Model Code URLs:
https://github.com/ElsevierSoftwareX/SOFTX_2018_200
Abstract
This paper describes ForestSim, an agent-based modeling (ABM) platform
for forest management policy experimentation and bioenergy
sustainability assessment. ForestSim integrates tools and techniques
from biomass estimation, ABM, sustainability assessment, and
forest-growth modeling to simulate the harvest activities of thousands
of decentralized private forest owners responding to alternative forest
management policies to determine the impacts on locally derived
sustainability indicators. ForestSim is relatively easy to modify for
those interested in exploring more nuanced aspects of non-industrial
private forest owner decision-making, forest growth dynamics, forest
management policy alternatives, and sustainability assessment criteria
tailored to their own research design purposes or specific study
regions. (C) 2019 The Authors. Published by Elsevier B.V.
Tags
Agent-based modeling
Management
Land-use change
bioenergy
biomass
systems
Deforestation
Programs
Harvest
Forest modeling
Tools
Policy modeling
Environmental
impacts