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

被引:120
作者
Mallampalli, Varun Rao [1 ]
Mavrommati, Georgia [2 ]
Thompson, Jonathan [3 ]
Duveneck, Matthew [3 ]
Meyer, Spencer [4 ]
Ligmann-Zielinska, Arika [5 ,6 ]
Druschke, Caroline Gottschalk [7 ]
Hychka, Kristen [7 ]
Kenney, Melissa A. [8 ]
Kok, Kasper [9 ]
Borsuk, Mark E. [1 ]
机构
[1] Dartmouth Coll, Thayer Sch Engn, Hanover, NH 03755 USA
[2] Dartmouth Coll, Environm Studies Program, Hanover, NH 03755 USA
[3] Harvard Univ, Harvard Forest, Petersham, MA USA
[4] Yale Univ, Sch Forestry & Management, New Haven, CT USA
[5] Michigan State Univ, Dept Geog & Environm Sci, E Lansing, MI 48824 USA
[6] Michigan State Univ, Policy Program, E Lansing, MI 48824 USA
[7] Univ Rhode Isl, Dept Nat Resources Sci, Kingston, RI 02881 USA
[8] Univ Maryland, Earth Syst Sci Interdisciplinary Ctr, College Pk, MD 20742 USA
[9] Univ Wageningen & Res Ctr, Environm Sci, Wageningen, Netherlands
基金
美国国家科学基金会;
关键词
Socio-ecological scenarios; Participatory process; Agent-based model; Fuzzy cognitive map; Bayesian network; System dynamics; ROLE-PLAYING GAME; BAYESIAN BELIEF NETWORKS; FUZZY COGNITIVE MAPS; AGENT-BASED MODELS; DECISION-MAKING; NATURAL-RESOURCES; COVER CHANGE; MANAGEMENT; SUSTAINABILITY; SIMULATION;
D O I
10.1016/j.envsoft.2016.04.011
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
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.
引用
收藏
页码:7 / 20
页数:14
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