Skip to main content

Help us improve the National Data Library - complete this short survey

Close survey banner

Leaf water potential of tropical forest tree species, Sirsi, Western Ghats, India, 2020-2021

Publisher
Environmental Information Data Centre
Updated
30 July 2026
Topic
Not set
Licence
Not set

Summary

This dataset includes time-series of pre-dawn and mid-day leaf water potentials for 10 tree species. The time-series covers one year with leaf water potentials measured every three months. These data when combined with hydraulic conductance vulnerability curves (also measured during this project) are an indicator of a tree's safe operating space under dry and high vapour pressure deficit conditions. The overall purpose of the measurements made by this project is to determine 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 site (Sirsi). Full details about this dataset can be found at https://doi.org/10.5285/252b6a14-8a0e-4a6f-a879-99dff46fec71

Data links

Link Format Preview Updated
Supporting information ZIP 30/7/2026
Download the data 30/7/2026

Is this data/dataset useful? Give us feedback

Additional information

Source Metadata
XML, HTML
Date added
24 July 2026
Harvest GUID
252b6a14-8a0e-4a6f-a879-99dff46fec71
Extent (Latitude)
14.63° to 14.6°
Extent (Longitude)
74.823° to 74.845°
Dataset reference date (publication)
2023-02-08
Access constraints
If you reuse this data, you should cite: Gloor, E., Barua, D., Galbraith, D.R., Hegde, B., Sunny, R., Tiwari, R. (2023). Leaf water potential of tropical forest tree species, Sirsi, Western Ghats, India, 2020-2021. NERC EDS Environmental Information Data Centre https://doi.org/10.5285/252b6a14-8a0e-4a6f-a879-99dff46fec71
Responsible party
University of Leeds (author, pointOfContact); IISER, Pune (author); Unaffiliated (author); St. Joseph's college, Calicut (author); (publisher, owner, custodian)
ISO 19139 resource type
dataset
Metadata language
eng