Soil moisture data from tropical forests, Sirsi, Western Ghats, India, 2021-2022
Cite this dataset as:
Gloor, E.; Barua, D.; Galbraith, D.R.; Hegde, B.; Sunny, R.; Tiwari, R. (2023). Soil moisture data from tropical forests, Sirsi, Western Ghats, India, 2021-2022. NERC EDS Environmental Information Data Centre. https://doi.org/10.5285/5a20234c-08b8-48c3-80da-3def9ba44626
Download/Access
PLEASE NOTE:
By accessing or using this dataset, you agree to the terms of the relevant licence agreement(s). You will ensure that this dataset is cited in any publication that describes research in which the data have been used.
This dataset is available under the terms of the Open Government Licence 
https://doi.org/10.5285/5a20234c-08b8-48c3-80da-3def9ba44626
The data comprise soil moisture profile measurements taken at depths of 10cm, 25cm, 50cm and 110cm close to trees in a valley in a tropical forest, Sirsi Karnataka, Western Ghats, India, between January 2020 and January 2022.
The data provide a measure of tree soil water stress when analysed with related data e.g. hydraulics, photosystem II temperature resilience, photosynthesis characteristics and leaf traits.
The overall purpose of the measurements was to determine the eco-physiological limits of functioning of tropical trees in Western Ghats India and to relate them to continuously measured temperature and water status of tropical forest trees at a representative forest fragment site (Sirsi).
The data provide a measure of tree soil water stress when analysed with related data e.g. hydraulics, photosystem II temperature resilience, photosynthesis characteristics and leaf traits.
The overall purpose of the measurements was to determine the eco-physiological limits of functioning of tropical trees in Western Ghats India and to relate them to continuously measured temperature and water status of tropical forest trees at a representative forest fragment site (Sirsi).
Publication date: 2023-02-09
View numbers valid from 01 June 2023 Download numbers valid from 20 June 2024 (information prior to this was not collected)
Format
Comma-separated values (CSV)
Spatial information
Study area
Spatial representation type
Tabular (text)
Spatial reference system
WGS 84
Temporal information
Temporal extent
2020-01-01 to 2022-01-31
Provenance & quality
Soil moisture was measured using Campbell CS616 Water Content Reflectometers. The sensors were installed on a gentle slope approximately 500 m distance from local valley bottom.
Data are quality controlled. The dataset has time gaps caused by malfunction of instrumentation.
Data are quality controlled. The dataset has time gaps caused by malfunction of instrumentation.
Licensing and constraints
This dataset is available under the terms of the Open Government Licence
Cite this dataset as:
Gloor, E.; Barua, D.; Galbraith, D.R.; Hegde, B.; Sunny, R.; Tiwari, R. (2023). Soil moisture data from tropical forests, Sirsi, Western Ghats, India, 2021-2022. NERC EDS Environmental Information Data Centre. https://doi.org/10.5285/5a20234c-08b8-48c3-80da-3def9ba44626
Related
Correspondence/contact details
Authors
https://orcid.org/0000-0002-9384-6341
Hegde, B.
Other contacts
Rights holder
University of Leeds
Custodian
NERC EDS Environmental Information Data Centre
info@eidc.ac.uk
Publisher
NERC EDS Environmental Information Data Centre
info@eidc.ac.uk