Dataset underlying the study "Floodplain forests are sensitive to salt-intrusion during summer droughts when dominated by Salix"
DOI: 10.4121/c117b12a-e9e9-4279-84fa-1461219be451
Datacite citation style
Dataset
The dataset contains the measures recorded during the the study "Floodplain forests are sensitive to salt-intrusion during summer droughts when dominated by Salix". The objective of this study was to investigate how seasonal timing and intensity of salt intrusion affect the growth and recovery of juvenile Salix alba and Alnus glutinosa trees in temperate European floodplain conditions. This was a controlled mesocosm experiment conducted from April 2022 to May 2023, in which different sets of 2–3-year-old trees were exposed for one week to either freshwater (control) or two salt concentrations (5 or 20 PSU) during each season (spring, summer, autumn, winter). Data collection involved monthly measurements of morphological traits (tree height, diameter, leaf number and condition), environmental variables (soil and water salinity), and final biomass (fresh and dry weight of above- and belowground parts) after harvest.
The data is divided in 3 csv files and the content is described in the README.txt file.
Brief description of the three csv files:
"seasonality_monthly.csv": measures taken monthly during the experiment.
"seasonality_watersalinity.csv": water salinity recorder monthly in the mesocosms.
"seasonality_biomass.csv": contains the biomass weights collected at the end of the experiment. The harvested biomass is stored at NIOZ.
History
- 2025-06-04 first online, published, posted
Publisher
4TU.ResearchDataFormat
*.csvFunding
- TTW Perspectief Programme SALTISolutions (grant code P18-32 Project 6) [more info...] NWO-domain TTW
Organizations
Royal Netherlands Institute for Sea Research, NIOZ, Department of Estuarine and Delta SystemsUniversity of Twente, Faculty of Engineering Technology, Water Engineering and Management
DATA
Files (4)
- 3,257 bytesMD5:
66586947360379925b6abe49d9b0472e
README.txt - 10,641 bytesMD5:
43d9100352a0a90011803f37165ee4f6
seasonality_biomass.csv - 93,566 bytesMD5:
d9a16e28d8ab35eafab13cfba0b01323
seasonality_monthly.csv - 3,055 bytesMD5:
e687b2f0ce205edd7bbf46f5a2cb1454
seasonality_watersalinity.csv -
download all files (zip)
110,519 bytes unzipped