社会环境系统建模中的规模决策和良好实践:问题范围界定和模型制定过程中的指导和文档

Hsiao-Hsuan Wang, G. van Voorn, W. Grant, F. Zare, C. Giupponi, Patrick Steinmann, Birgit Müller, S. Elsawah, H. van Delden, I. Athanasiadis, Zhanli Sun, W. Jager, John C. Little, A. Jakeman
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引用次数: 0

摘要

社会环境或社会生态系统(SES)模型通常解决需要跨学科科学专业知识和来自异质利益相关者群体的投入的问题。在SES模型中,各种现象之间在不同尺度上发生多重相互作用。这些规模现象包括技术,如系统变量、过程细节、投入和产出,这通常需要空间、时间、主题和组织选择。从良好的实践和项目效率的角度来看,建模的问题范围界定和概念模型制定阶段是从一开始就应该解决的。在这一阶段,应就代表不同现象的适当比额表进行激烈和实质性的讨论。尽管这些讨论的细节影响了模型开发的路径,但它们很少被记录下来,因此经常被遗忘。我们根据个人在现有协议和通信方面的经验,在最近的文献中提出初步的指导方针,以记录这些关于所研究现象的规模的早期讨论。我们的指导方针旨在帮助建模小组成员建立和捕获他们的范围和规模决策的丰富的基本原理。产生的转录本旨在促进建模决策的透明度,并为最终模型的预期用途的合理性提供必要的支持。它们还通过回溯决策和对可选规模选项的迭代反思,促进了模型开发路径的自适应修改。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Scale decisions and good practices in socio-environmental systems modelling: guidance and documentation during problem scoping and model formulation
Models of socio-environmental or social-ecological systems (SES) commonly address problems requiring interdisciplinary scientific expertise and input from a heterogeneous group of stakeholders. In SES modelling multiple interactions occur on different scales among various phenomena. These scale phenomena include the technical, such as system variables, process detail, inputs and outputs, which most often require spatial, temporal, thematic and organisational choices. From a good practice and project efficiency perspective, the problem scoping and conceptual model formulation phase of modelling is the one to address well from the outset. During this phase, intense and substantive discussions should arise regarding appropriate scales at which to represent the different phenomena. Although the details of these discussions influence the path of model development, they are seldom documented and as a result often forgotten. We draw upon personal experience with existing protocols and communications in recent literature to propose preliminary guidelines for documenting these early discussions about the scale(s) of the studied phenomena. Our guidelines aim to aid modelling group members in building and capturing the richness of their rationale for scoping and scale decisions. The resulting transcripts are intended to promote transparency of modelling decisions and provide essential support for the justification of the final model for its intended use. They also facilitate adaptive modifications of the pathway of model development via retracing decisions and iterative reflection upon alternative scale options.
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