The doi above is for this specific version of this dataset, which is currently the latest. Newer versions may be published in the future. For a link that will always point to the latest version, please use
doi: 10.4121/22096397

van Bijsterveldt, Celine; Herman, Peter M. J.; van Wesenbeeck, B.K. (Bregje); Ramadhani, Sri; Heuts, Tom S. et. al. (2023): Data presented in the paper: Subsidence reveals potential impacts of future sea level rise on inhabited mangrove coasts. Version 2. 4TU.ResearchData. dataset. https://doi.org/10.4121/22096397.v2

Dataset

x choose version: version 1 - 2023-08-29

• Civil Engineering
• Land and Water Management
• Plant Biology
• Ecology
• Environmental Science and Management
• Environmental Engineering
• Climate and Climate Change
• Human Geography
• Engineering
• Biological Sciences
• Environmental Sciences
• Studies in Human Society
• Environment

coastal communities, land subsidence, lateral erosion, mangrove greenbelt, mangrove resilience, nature-based flood defence, population migration, relative sea level rise, root adaptation

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Field data were collected between April 2018 and October 2019.

CC BY 4.0

RefWorks, BibTeX, Reference Manager, Endnote, DataCite, NLM, DC, CFF

by Celine van Bijsterveldt , Peter M. J. Herman , B.K. (Bregje) van Wesenbeeck , Sri Ramadhani, Tom S. Heuts , Corinne van Starrenburg , Silke Tas , Annisa Triyanti , muhammad helmi , Femke H. Tonneijck, T.J. (Tjeerd) Bouma

To shed light on the future of low-lying rural areas in the face of sea level rise, we studied a 20 km long rural coastline neighbouring a sinking city in Indonesia (8 – 20 cm yr-1), hereafter called studyarea. Through the collection of data across 7 main topics, we show that villages experienced significant RSLR near the city. Mangroves also experienced RSLR near the city, although to a lesser degree, and were able to respond to RSLR rates 4.3 cm yr-1 through various root adaptations. The seven main investigated topics, and their respective datasets: 

0. village population migration

1. village house experienced RSLR

2. mangrove experienced RSLR

2a. mangrove experienced RSLR

2b. rainfall data

3. foreshore dynamics

4. mangrove bed-level dynamics based on pneumatophore markings

5. mangrove root acclimation

5.1. pneumatophore markings (same dataset as 4.)

5.2. rootmat formation

5.3. sedimentation experiment

6. lateral mangrove die-back

6.1. dead trees and summary of all datasets as used in Figure 4 of the manuscript

6.2. pneumatophore mortality (same dataset as 4.)

• 2023-08-29 first online

• 2023-09-11 published, posted

4TU.ResearchData

.shp, .csv, .R

Subsidence reveals potential impacts of future sea level rise on inhabited mangrove coasts

https://dataonline.bmkg.go.id/

• This work is part of the BioManCo project with project number 14753, which is (partly) financed by NWO Domain Applied and Engineering Sciences, and Engineering Sciences, and co-financed by Boskalis Dredging and Marine experts, Van Oord Dredging and Marine Contractors bv, Deltares, Witteveen + Bos and Wetlands International.

NIOZ Royal Netherlands Institute for Sea Research, Department of Estuarine and Delta Systems (EDS), The Netherlands
Utrecht University, Department of Physical Geography, The Netherlands
Deltares, Unit for Marine and Coastal Systems, The Netherlands
Delft University of Technology, Department of Hydraulic Engineering, The Netherlands
Utrecht University, Copernicus Institute for Sustainable Development, The Netherlands
Universitas Diponegoro, Oceanography Department, Indonesia
Wetlands International, Indonesia and The Netherlands