Data underlying the publication: Vegetation traits and biogeomorphic complexity shape the resilience of salt marshes to sea-level rise

This dataset contains the data presented in the article:Cornacchia, L., van de Vijsel, R.C., van der Wal, D., Ysebaert, T., Sun, J., van Prooijen, B., de Vet, P.L.M., Liu, Q.-X., van de Koppel, J. Vegetation traits and biogeomorphic complexity shape the resilience of salt marshes to sea-level rise. Communications Earth & Environment (2024).The aim of this research was to investigate the interaction and relative importance of salt marsh vegetation characteristics and creek network complexity for salt marsh resilience to increased water levels, as can be expected with sea-level rise.This dataset therefore contains: i) model scripts and results from the numerical model (SFERE) for vegetation effects on tidal network formation; 2) digital terrain models of real-world tidal channel networks; 3) data from field experiments in real-world tidal channels where hydrodynamics, sediment transport and deposition patterns were measured. The README-file explains the exact contents of this dataset. This version of the SFERE model can also be found on Zenodo (https://doi.org/10.5281/zenodo.13895003).

本数据集包含发表于以下论文的数据：Cornacchia L、van de Vijsel R C、van der Wal D、Ysebaert T、Sun J、van Prooijen B、de Vet P L M、Liu Q-X、van de Koppel J. 植被性状与生物地貌复杂性调控盐沼对海平面上升的恢复力. 《Communications Earth & Environment》, 2024.
本研究旨在探讨盐沼植被特征与潮沟网络复杂性对盐沼抵御水位上升（即海平面上升情境下的水位升高）的恢复力的作用机制及其相对重要性。
本数据集具体包含：(i) 用于模拟植被对潮汐网络形成影响的数值模型（SFERE）的脚本与计算结果；(ii) 真实潮沟网络的数字地形模型；(iii) 基于野外潮沟原位实验测得的水动力、泥沙输运与沉积格局数据。
本数据集的详细内容可通过README文件查阅。该版本的SFERE模型亦可在Zenodo平台获取（https://doi.org/10.5281/zenodo.13895003）。