4.7 Article

Methods for translating narrative scenarios into quantitative assessments of land use change

期刊

ENVIRONMENTAL MODELLING & SOFTWARE
卷 82, 期 -, 页码 7-20

出版社

ELSEVIER SCI LTD
DOI: 10.1016/j.envsoft.2016.04.011

关键词

Socio-ecological scenarios; Participatory process; Agent-based model; Fuzzy cognitive map; Bayesian network; System dynamics

资金

  1. Scenarios Society and Solutions Research Coordination Network [NSF-DEB-13-38809]
  2. National Science Foundation through the New Hampshire Experimental Program to Stimulate Cooperative Research (NH EPSCoR) Ecosystems and Society Project [EPS 1101245]
  3. Direct For Social, Behav & Economic Scie
  4. SBE Off Of Multidisciplinary Activities [1416730] Funding Source: National Science Foundation
  5. Office Of The Director
  6. EPSCoR [1101245] Funding Source: National Science Foundation

向作者/读者索取更多资源

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. (C) 2016 Elsevier Ltd. All rights reserved.

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