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Integrated environmental modeling : a vision and roadmap for the future

机译:综合环境建模:未来的愿景和路线图

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摘要

Integrated environmental modeling (IEM) is inspired by modern environmental problems, decisions, and policies and enabled by transdisciplinary science and computer capabilities that allow the environment to be considered in a holistic way. The problems are characterized by the extent of the environmental system involved, dynamic and interdependent nature of stressors and their impacts, diversity of stakeholders, and integration of social, economic, and environmental considerations. IEM provides a science-based structure to develop and organize relevant knowledge and information and apply it to explain, explore, and predict the behavior of environmental systems in response to human and natural sources of stress. During the past several years a number of workshops were held that brought IEM practitioners together to share experiences and discuss future needs and directions. In this paper we organize and present the results of these discussions. IEM is presented as a landscape containing four interdependent elements: applications, science, technology, and community. The elements are described from the perspective of their role in the landscape, current practices, and challenges that must be addressed. Workshop participants envision a global scale IEM community that leverages modern technologies to streamline the movement of science-based knowledge from its sources in research, through its organization into databases and models, to its integration and application for problem solving purposes. Achieving this vision will require that the global community of IEM stakeholders transcend social, and organizational boundaries and pursue greater levels of collaboration. Among the highest priorities for community action are the development of standards for publishing IEM data and models in forms suitable for automated discovery, access, and integration; education of the next generation of environmental stakeholders, with a focus on transdisciplinary research, development, and decision making; and providing a web-based platform for community interactions (e.g., continuous virtual workshops).ud
机译:集成环境建模(IEM)受现代环境问题,决策和政策的启发,并受到跨学科科学和计算机功能的支持,这些功能使人们可以从整体上考虑环境。这些问题的特征在于所涉环境系统的范围,压力源及其影响的动态和相互依存的性质,利益相关者的多样性以及社会,经济和环境因素的综合。 IEM提供了一个基于科学的结构来开发和组织相关的知识和信息,并将其用于解释,探索和预测环境系统对人类和自然压力源的反应。在过去的几年中,举办了许多研讨会,使IEM从业人员汇聚一堂,交流经验并讨论未来的需求和方向。在本文中,我们组织并介绍了这些讨论的结果。 IEM呈现为一个景观,包含四个相互依赖的元素:应用程序,科学,技术和社区。从元素在景观,当前实践和必须解决的挑战中的角度描述了这些元素。研讨会的参与者设想了一个全球规模的IEM社区,该社区将利用现代技术来简化基于科学的知识从其研究来源到其组织到数据库和模型中的迁移,以及为解决问题而进行集成和应用的过程。实现这一愿景将需要IEM利益相关者的全球社区超越社会和组织的界限,并追求更高水平的合作。社区行动的最高优先事项之一是制定以适合自动发现,访问和集成的形式发布IEM数据和模型的标准;对下一代环境利益相关者进行教育,重点是跨学科的研究,开发和决策;并为社区互动提供基于网络的平台(例如,连续的虚拟研讨会)。 ud

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