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规划沿海湿地的水文恢复:关键模型考量与解决方案

Planning hydrological restoration of coastal wetlands: Key model considerations and solutions.

作者信息

Twomey Alice J, Nunez Karinna, Carr Joel A, Crooks Steve, Friess Daniel A, Glamore William, Orr Michelle, Reef Ruth, Rogers Kerrylee, Waltham Nathan J, Lovelock Catherine E

机构信息

School of the Environment, The University of Queensland, St. Lucia, QLD 4072, Australia.

Virginia Institute of Marine Science, William & Mary, Gloucester Point, VA 23062, USA.

出版信息

Sci Total Environ. 2024 Mar 10;915:169881. doi: 10.1016/j.scitotenv.2024.169881. Epub 2024 Jan 6.

DOI:10.1016/j.scitotenv.2024.169881
PMID:38190895
Abstract

The hydrological restoration of coastal wetlands is an emerging approach for mitigating and adapting to climate change and enhancing ecosystem services such as improved water quality and biodiversity. This paper synthesises current knowledge on selecting appropriate modelling approaches for hydrological restoration projects. The selection of a modelling approach is based on project-specific factors, such as costs, risks, and uncertainties, and aligns with the overall project objectives. We provide guidance on model selection, emphasising the use of simpler and less expensive modelling approaches when appropriate, and identifying situations when models may not be required for project managers to make informed decisions. This paper recognises and supports the widespread use of hydrological restoration in coastal wetlands by bridging the gap between hydrological science and restoration practices. It underscores the significance of project objectives, budget, and available data and offers decision-making frameworks, such as decision trees, to aid in matching modelling methods with specific project outcomes.

摘要

沿海湿地的水文恢复是一种新兴的方法,用于缓解和适应气候变化,并增强生态系统服务,如改善水质和生物多样性。本文综合了当前关于为水文恢复项目选择合适建模方法的知识。建模方法的选择基于特定项目的因素,如成本、风险和不确定性,并与项目总体目标相一致。我们提供模型选择指导,强调在适当的时候使用更简单、成本更低的建模方法,并确定项目经理在做出明智决策时可能不需要模型的情况。本文通过弥合水文科学与恢复实践之间的差距,认可并支持沿海湿地水文恢复的广泛应用。它强调了项目目标、预算和可用数据的重要性,并提供了决策框架,如决策树,以帮助将建模方法与特定项目成果相匹配。

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