Roots follow Moisture, data underlying the publication: Dynamic root growth in response to depth-varying soil moisture availability: a rhizobox study

doi:10.4121/19513957.v1
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: 10.4121/19513957
Datacite citation style:
Maan, Cynthia (2023): Roots follow Moisture, data underlying the publication: Dynamic root growth in response to depth-varying soil moisture availability: a rhizobox study. Version 1. 4TU.ResearchData. dataset. https://doi.org/10.4121/19513957.v1
Other citation styles (APA, Harvard, MLA, Vancouver, Chicago, IEEE) available at Datacite
Dataset

Data and models (Matlab) underlying graphs and results of Maan, D. C., ten Veldhuis, M. C., & van de Wiel, B. J. H. (2022). Dynamic root growth in response to depth-varying soil moisture availability: a rhizobox study. EGUsphere, 1-18.https://doi.org/10.5194/egusphere-2022-104. We investigated the influence of soil moisture on

root growth. To this end, we installed subsurface drip lines and small soil moisture sensors (0.2 L measurement volume) inside rhizoboxes (length x width x height of 45x7.5x45 cm). The development of the vertical soil moisture and root growth profiles is tracked in space and time. This Dataset includes timeseries of soil moisture at four different depth levels inside the rhizobox , root growth rates within intervals of five days, irrigation volumes and depths and timeseries of the Rhizobox mass (most data in both matlab and excel files). The set also contains different versions of the parsimonious one-dimensional Matlab model for simulating the evolution of root growth and soil moisture inside the rhizobox .

history
  • 2023-06-23 first online, published, posted
publisher
4TU.ResearchData
format
Matlab files , Excel files
funding
  • 4TU.Federation via the `High Tech for a Sustainable future' programme.
organizations
TU Delft, Faculty of Civil Engineering and Geosciences, Department of Geoscience and Remote Sensing

DATA

files (1)