TY - JOUR
T1 - Methods for translating narrative scenarios into quantitative assessments of land use change
AU - Mallampalli, Varun Rao
AU - Mavrommati, Georgia
AU - Thompson, Jonathan
AU - Duveneck, Matthew
AU - Meyer, Spencer
AU - Ligmann-Zielinska, Arika
AU - Gottschalk Druschke, Caroline
AU - Hychka, Kristen
AU - Kenney, Melissa A.
AU - Kok, Kasper
AU - Borsuk, Mark E.
PY - 2016
Y1 - 2016
N2 - In the land use and land cover (LULC) literature, narrative scenarios are qualitative descriptions of plausible futures associated with a combination of socio-economic, policy, technological, and climate changes. LULC models are then often used to translate these narrative descriptions into quantitative characterizations of possible future societal and ecological impacts and conditions. To respect the intent of the underlying scenario descriptions, this process of translation needs to be thoughtful, transparent, and reproducible. This paper evaluates the current state of the art in scenario translation methods and outlines their relative advantages and disadvantages, as well as the respective roles of stakeholders and subject matter experts. We summarize our findings in the form of a decision matrix that can assist land use planners, scientists, and modelers in choosing a translation method appropriate to their situation.
AB - In the land use and land cover (LULC) literature, narrative scenarios are qualitative descriptions of plausible futures associated with a combination of socio-economic, policy, technological, and climate changes. LULC models are then often used to translate these narrative descriptions into quantitative characterizations of possible future societal and ecological impacts and conditions. To respect the intent of the underlying scenario descriptions, this process of translation needs to be thoughtful, transparent, and reproducible. This paper evaluates the current state of the art in scenario translation methods and outlines their relative advantages and disadvantages, as well as the respective roles of stakeholders and subject matter experts. We summarize our findings in the form of a decision matrix that can assist land use planners, scientists, and modelers in choosing a translation method appropriate to their situation.
KW - Agent-based model
KW - Bayesian network
KW - Fuzzy cognitive map
KW - Participatory process
KW - Socio-ecological scenarios
KW - System dynamics
U2 - 10.1016/j.envsoft.2016.04.011
DO - 10.1016/j.envsoft.2016.04.011
M3 - Article
AN - SCOPUS:84973160974
SN - 1364-8152
VL - 82
SP - 7
EP - 20
JO - Environmental Modelling & Software
JF - Environmental Modelling & Software
ER -