Data presented in the paper: Subsidence reveals potential impacts of future sea level rise on inhabited mangrove coasts
CC BY 4.0
,
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, published, posted
- 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.
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
DATA
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65bf05beca83ef7ca102b02d7005269bREADME.txt - 2,315 bytesMD5:
6da9a43b497931f9b24871ef7c7229d20_READ_ME_0_village_population_migration.txt - 21,911 bytesMD5:
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6d1ed0ac25389f9c7884414024f289d91. village house experienced RSLR.csv - 582 bytesMD5:
0f30e5e550bc851b5a7c97cbb6383d252. combined_experiencedRSLR_mangroves_villages.csv - 60,041 bytesMD5:
7fde5cfb65ff18e0d2a054d03d27cb6c2. Mangrove experienced RSLR and rainfall.zip - 24,648,409 bytesMD5:
d27d6260a433780b0949ba8c18515eeb2. Mangrove experienced RSLR preprocessing (raw data and code).zip - 2,131 bytesMD5:
e23a27489971575f56f7bd58421ee3e63. foreshore dynamics.csv - 65,705 bytesMD5:
dd462f077408acc5d98f1ae0e6b428f54. and 5.1 and 6.2. pneumatophore markings.csv - 439 bytesMD5:
d8f0dacca06f83c9daa91a3f3ddb00715.2. mangrove root acclimation_rootmats.csv - 864 bytesMD5:
f9cc4d1dde64e01eedea9eb2df0e8ac35.3. sedimentation experiment.csv - 3,300 bytesMD5:
f35ea31f3637c36021c0738fddcb9b1d6.1. summary_all_data_incl_dead mangrove counts per coastline stretch.csv -
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