%0 Generic
%A Cornacchia, Loreta
%A van de Vijsel, Roeland
%A van der Wal, Daphne
%A Ysebaert, Tom
%A Sun, Jianwei
%A van Prooijen, Bram
%A de Vet, Paul Lodewijk Maria
%A Liu, Quan-Xing
%A van de Koppel, Johan
%D 2024
%T Data underlying the publication: Vegetation traits and biogeomorphic complexity shape the resilience of salt marshes to sea-level rise
%U 
%R 10.4121/9b2fb6d8-e2e7-4768-ad1a-bcf903c4eb20.v1
%K salt marsh
%K resilience
%K sea-level rise
%K ecological complexity
%X <p>This dataset contains the data presented in the article:</p><p>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 &amp; Environment (2024).</p><p>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.</p><p>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 (<a href="https://doi.org/10.5281/zenodo.13895003" target="_blank">https://doi.org/10.5281/zenodo.13895003</a>).</p>
%I 4TU.ResearchData