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首页> 外文期刊>Ecological Modelling >Challenges of simulating complex environmental systems at the landscape scale: A controversial dialogue between two cups of espresso
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Challenges of simulating complex environmental systems at the landscape scale: A controversial dialogue between two cups of espresso

机译：在景观尺度上模拟复杂环境系统的挑战：两杯浓缩咖啡之间的有争议对话

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摘要

With the advancement of computational systems and the development of model integration concepts, complexity of environmental model systems increased. In contrast to that, theory and knowledge about>environmental systems as well as the capability for environmental systems analyses remained, to a large extent, unchanged. As a consequence, model conceptualization, data gathering, and validation, have faced new challenges that hardly can be tackled by modellers alone. In this discourse-like review, we argue that modelling with reliable simulations of human-environmental interactions necessitate linking modelling and simulation research much stronger to science fields such as landscape ecology, community ecology, eco-hydrology, etc. It thus becomes more and more important to identify the adequate degree of complexity in environmental models (which is not only a technical or methodological question), to ensure data availability, and to test model performance. Even equally important, providing problem specific answers to environmental problems using simulation tools requires addressing end-user and stakeholder requirements during early stages of problem development. In doing so, we avoid modelling and simulation as an end of its own.
机译：随着计算系统的发展和模型集成概念的发展，环境模型系统的复杂性不断增加。与此相反，关于环境系统的理论和知识以及环境系统分析的能力在很大程度上保持不变。结果，模型的概念化，数据收集和验证面临新的挑战，建模者很难单独解决。在这篇类似话语的评论中，我们认为，对人与环境相互作用进行可靠模拟的建模需要将建模和模拟研究更紧密地联系到科学领域，例如景观生态学，社区生态学，生态水文学等。因此，它变得越来越多重要的是要确定环境模型的适当复杂程度（这不仅是技术或方法上的问题），以确保数据的可用性并测试模型的性能。同样重要的是，使用仿真工具为环境问题提供特定问题的答案，需要在问题开发的早期阶段解决最终用户和利益相关者的需求。这样做避免了建模和仿真本身的终结。

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