FeliX 2.0: An integrated model of climate, economy, environment, and society interactions

IF 4.8 2区 环境科学与生态学 Q1 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS
Quanliang Ye , Qi Liu , Deepthi Swamy , Lei Gao , Enayat A. Moallemi , Felicjan Rydzak , Sibel Eker
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Abstract

The Full of Economic-Environment Linkages and Integration dX/dt (FeliX) model is a System Dynamics-based Integrated Assessment Model (IAM), explicitly incorporating human behaviors and their dynamic interactions among global systems. This paper presents FeliX 2.0, describing the detailed framework and key interactions among nine integrated modules. FeliX 2.0 refined its original version in population dynamics, food and land use systems, and socioeconomic settings for poverty analysis. Robust calibration is applied to key variables against their historical data since 1950. Future projections of multiple variables up to 2100 demonstrate coherences between FeliX 2.0 and the IAMs used in IPCC assessments. Both outputs (the robust calibration results and future projections) underscore the efficacy of FeliX 2.0 in capturing complex interdependencies within global systems. FeliX 2.0 stands as an informative tool and offers insights into interactions within the human-Earth system and the analysis of complex economic-environmental-social challenges in short- and long-term future.

FeliX 2.0:气候、经济、环境和社会互动综合模型
经济-环境关联与整合dX/dt(FeliX)模型是一个基于系统动力学的综合评估模型(IAM),明确纳入了人类行为及其在全球系统中的动态互动。本文介绍了 FeliX 2.0,描述了详细的框架和九个综合模块之间的主要互动关系。FeliX 2.0 在人口动态、粮食和土地利用系统以及用于贫困分析的社会经济环境方面对其原始版本进行了改进。根据 1950 年以来的历史数据,对关键变量进行了稳健校准。对 2100 年之前多个变量的未来预测表明,FeliX 2.0 与 IPCC 评估中使用的 IAM 之间存在一致性。两种输出结果(稳健的校准结果和未来预测)都强调了 FeliX 2.0 在捕捉全球系统内复杂的相互依存关系方面的功效。FeliX 2.0 是一个信息丰富的工具,为人类-地球系统内部的相互作用以及分析未来短期和长期的复杂经济-环境-社会挑战提供了见解。
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来源期刊
Environmental Modelling & Software
Environmental Modelling & Software 工程技术-工程:环境
CiteScore
9.30
自引率
8.20%
发文量
241
审稿时长
60 days
期刊介绍: Environmental Modelling & Software publishes contributions, in the form of research articles, reviews and short communications, on recent advances in environmental modelling and/or software. The aim is to improve our capacity to represent, understand, predict or manage the behaviour of environmental systems at all practical scales, and to communicate those improvements to a wide scientific and professional audience.
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