预测阿根廷潘帕斯地区的土地利用和环境动态:不同价格和气候情景下的代理建模方法。

IF 2.6 3区 环境科学与生态学 Q2 ECOLOGY
Diego O. Ferraro , Felipe Ghersa , Rodrigo Castro
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引用次数: 0

摘要

本研究采用 AGRODEVS 基于代理的模型(ABM),系统地考察了阿根廷潘帕斯地区的土地利用动态。在不同情景下进行的模拟突显了经济决定因素(尤其是作物价格关系)在影响玉米或小麦/大豆双季作物种植率方面的重要作用。玉米为主的景观始终能够实现碳固存目标,而小麦/大豆景观则面临挑战,尤其是生态毒性方面的挑战。各种情景包括不同的气候条件和大豆/玉米价格比率,使人们能够深入了解影响个体行为主体农业用地决策的相互作用。AGRODEVS 模型的强大性能强调了其在整合经济和环境因素方面的有效性,有助于切实了解可持续土地利用规划的复杂性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Predicting land use and environmental dynamics in Argentina's Pampas region: An agent-based modeling approach across varied price and climatic scenarios.

This study, employing the AGRODEVS Agent-Based Model (ABM), systematically examined land use dynamics in Argentina's Pampas Region. Simulations under diverse scenarios highlighted the significant role of economic determinants, particularly crop price relationships, in influencing maize or wheat/soybean double cropping prevalence. Maize-dominated landscapes consistently achieved carbon sequestration goals, while wheat/soybean landscapes faced challenges, notably in ecotoxicity. Scenarios encompassed varying climatic conditions and soybean/maize price ratios, providing insights into the interplay shaping agricultural land use decisions among individual agents. The AGRODEVS model's robust performance underscored its effectiveness in integrating economic and environmental factors, contributing to a practical understanding of sustainable land use planning complexities.

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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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