A systematic review of morphological models of salt marshes

作     者：Xin-chen Wang Pei Xin Zeng Zhou Fu-xin Zhang Xin-chen Wang;Pei Xin;Zeng Zhou;Fu-xin Zhang

作者机构：College of Water Conservancy and Hydropower EngineeringHohai UniversityNanjing 210098China State Key Laboratory of Hydrology–Water Resources and Hydraulic EngineeringHohai UniversityNanjing 210098China Yangtze Institute for Conservation and DevelopmentHohai UniversityNanjing 210098China Jiangsu Key Laboratory of Coast Ocean Resources Development and Environment SecurityHohai UniversityNanjing 210098China 

出 版 物：《Water Science and Engineering》 (水科学与水工程（英文版）)

年 卷 期：2023年第16卷第4期

页      面：313-323页

核心收录：

学科分类：07[理学] 0707[理学-海洋科学] 

基　　金：supported by the National Natural Science Foundation of China(Grant No.U2040204) the Jiangsu Provincial Natural Science Foundation of China(Grants No.BK2020020,BK20220979,and BK20220993) the Fundamental Research Funds for the Central University(Grant No.B220202057) 

主　　题：Morphology Salt marsh Predictive modeling Tidal creek Tidal flat 

摘      要：Salt marshes are among the most important coastal wetlands and provide critical ecological services,including climate regulation,biodiversity maintenance,and blue carbon ***,most salt marshes worldwide are shrinking,owing to the effects of natural and human factors,such as climate change and artificial ***,it is essential to understand the decline in the morphological processes of salt marshes,and accordingly,the likely evolution of these marshes,in order to enable measures to be taken to mitigate this *** this end,this study presented an extensive systematic review of the current state of morphological models and their application to salt *** emergence of process-based(PB)and data-driven(DD)models has contributed to the development of morphological *** morphodynamic simulations in PB models,multiple physical and biological factors(e.g.,the hydrodynamics of water bodies,sediment erosion,sediment deposition,and vegetation type)have been *** systematic review revealed that PB models have been extended to a broader interdisciplinary ***,most DD models are based on remote sensing database for the prediction of morphological characteristics with latent *** to DD models,PB models are more transparent but can be complex and require a lot of computational ***,to make up for the shortcomings of each model,future studies could couple PB with DD models that consider vegetation,microorganisms,and benthic animals together to simulate or predict the biogeomorphology of salt marsh ***,this review found that there is a lack of unified metrics to evaluate model performance,so it is important to define clear objectives,use multiple metrics,compare multiple models,incorporate uncertainty,and involve experts in the field to provide guidance in the further study.