基于agent模型和成本效益分析的卧龙退耕还田与能源替代协同效应研究

IF 2.6 3区 环境科学与生态学 Q2 ECOLOGY
Keyi Liu , Yufeng Chen , Liyan Xu , Xiao Zhang , Zilin Wang , Hailong Li , Yansheng Yang , Hong You , Dihua Li
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引用次数: 0

摘要

平衡人类发展与生态保护需要在有限的预算范围内优化结果的生态政策,强调成本效益和当地影响分析的重要性。本研究采用基于主体模型(ABM)的社会经济生态系统多用途模拟器(SEEMS)来模拟小规模的人与自然耦合系统(CHANS),以评估两大生态保护计划:粮食到绿色(G2G)和木柴到电力(F2E)的成本效益。该研究以中国卧龙国家级自然保护区为研究对象,评估了这些项目的直接效益,包括恢复耕地面积和柴火消耗,以及它们在栖息地质量、碳排放和总经济效益方面的综合间接效益。研究结果如下:(1)G2G项目在约500元人民币/亩(约1177.5美元/公顷)时达到最佳财务效率,超过1000元人民币/亩(约2355美元/公顷)时收益递减;(2)对于F2E项目,当补贴电价为0.4-0.5元/千瓦时(~ 0.063-0.079美元/千瓦时)时,最具财政成本效益的选择出现,而进一步降低电价至0.1元/千瓦时(~ 0.0157美元/千瓦时)以下,导致成本效益比递减;(3)综合成本效益分析表明,财政负担与碳排放之间不存在显著相关关系,但与生境质量正相关,与经济总收入呈倒u型关系;(4)通过Pareto分析,确定了18种平衡碳足迹、栖息地质量和总经济效益的最佳双政策组合;(5)后验帕累托优化进一步细化了给定现实场景下特定策略方案的选择。本文的分析框架有助于决策者设计经济上可行、环境上可持续的政策,应对全球保护挑战。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Synergizing farmland reverting and energy substitution programs in Wolong through agent-based modelling and cost-efficiency analysis
Balancing human development with conservation necessitates ecological policies that optimize outcomes within limited budgets, highlighting the importance of cost-efficiency and local impact analysis. This study employs the Socio-Econ-Ecosystem Multipurpose Simulator (SEEMS), an Agent-Based Model (ABM) designed for simulating small-scale Coupled Human and Nature Systems (CHANS), to evaluate the cost-efficiency of two major ecology conservation programs: Grain-to-Green (G2G) and Firewood-to-Electricity (F2E). Focusing on China's Wolong National Reserve, a worldwide hot spot for flagship species conservation, the study evaluates the direct benefits of these programs, including reverted farmland area and firewood consumption, along with their combined indirect benefits on habitat quality, carbon emissions, and gross economic benefits. The findings are as follows: (1) The G2G program achieves optimal financial efficiency at approximately 500 CNY/Mu (∼1177.5 USD/ha), with diminishing returns observed beyond 1000 CNY/Mu (∼2355 USD/ha); (2) For the F2E program, the most fiscally cost-efficient option arises when the subsidized electricity price is at 0.4–0.5 CNY/kWh (∼0.063–0.079 USD/kWh), while further reductions of the prices to below 0.1 CNY/kWh (∼0.0157 USD/kWh) result in a diminishing cost-benefit ratio; (3) Comprehensive cost-efficiency analysis reveals no significant link between financial burden and carbon emissions, but a positive correlation with habitat quality and an inverted U-shaped relationship with total economic income; (4) Pareto analysis identifies 18 optimal dual-policy combinations for balancing carbon footprint, habitat quality, and gross economic benefits; (5) Posterior Pareto optimization further refines the selection of a specific policy scheme for a given realistic scenario. The analytical framework of this paper helps policymakers design economically viable and environmentally sustainable policies, addressing global conservation challenges.
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来源期刊
Ecological Modelling
Ecological Modelling 环境科学-生态学
CiteScore
5.60
自引率
6.50%
发文量
259
审稿时长
69 days
期刊介绍: The journal is concerned with the use of mathematical models and systems analysis for the description of ecological processes and for the sustainable management of resources. Human activity and well-being are dependent on and integrated with the functioning of ecosystems and the services they provide. We aim to understand these basic ecosystem functions using mathematical and conceptual modelling, systems analysis, thermodynamics, computer simulations, and ecological theory. This leads to a preference for process-based models embedded in theory with explicit causative agents as opposed to strictly statistical or correlative descriptions. These modelling methods can be applied to a wide spectrum of issues ranging from basic ecology to human ecology to socio-ecological systems. The journal welcomes research articles, short communications, review articles, letters to the editor, book reviews, and other communications. The journal also supports the activities of the [International Society of Ecological Modelling (ISEM)](http://www.isemna.org/).
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