Methods for translating narrative scenarios into quantitative assessments of land use change. (August 2016)

• Record Type: Journal Article
• Authors: Mallampalli, Varun Rao; Mavrommati, Georgia; Thompson, Jonathan; Duveneck, Matthew; Meyer, Spencer; Ligmann-Zielinska, Arika; Druschke, Caroline Gottschalk; Hychka, Kristen; Kenney, Melissa A.; Kok, Kasper; Borsuk, Mark E.
• Is Part Of: Environmental modelling & software. Volume 82(2016:Aug.)
• Page Start: 7
• Page End: 20
• Publication Date: 2016-08
• Subjects: Socio-ecological scenarios -- Participatory process -- Agent-based model -- Fuzzy cognitive map -- Bayesian network -- System dynamics; Environmental monitoring -- Computer programs -- Periodicals; Ecology -- Computer simulation -- Periodicals; Digital computer simulation -- Periodicals; Computer software -- Periodicals; Environmental Monitoring -- Periodicals; Computer Simulation -- Periodicals; Environnement -- Surveillance -- Logiciels -- Périodiques; Écologie -- Simulation, Méthodes de -- Périodiques; Simulation par ordinateur -- Périodiques; Logiciels -- Périodiques; Computer software; Digital computer simulation; Ecology -- Computer simulation; Environmental monitoring -- Computer programs; Periodicals; Electronic journals; 363.70015118
• DOI: 10.1016/j.envsoft.2016.04.011
• Languages: English
• ISSNs: 1364-8152

Abstract

Abstract: 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. Highlights: Assessments of land use and land cover change often employ narrative scenarios. Detailed evaluation of policy actions and outcomes requires quantitative model output. We review methods of translating narrative scenarios into model-based assessments. A summary table provides guidance for choosing a method suitable for the situation.