d057f4e4-c2c7-4cea-a5de-1562f970a533 English ISO/IEC 8859-1 (also known as Latin 1) dataset dataset NERC EDS Environmental Information Data Centre Lancaster Environment Centre, Library Avenue, Bailrigg Lancaster LA1 4AP UK info@eidc.ac.uk https://eidc.ac.uk/ EIDC website The Environmental Information Data Centre (EIDC) is the UK's national data centre for terrestrial and freshwater sciences. information pointOfContact 2025-11-13T16:23:47 UK GEMINI 2.3 WGS 84 Functional traits of tropical forest tree species, Sirsi, Western Ghats, India, 2021 2023-02-09 publication https://catalogue.ceh.ac.uk/id/d057f4e4-c2c7-4cea-a5de-1562f970a533 10.5285/d057f4e4-c2c7-4cea-a5de-1562f970a533 doi: Gloor, E., Barua, D., Galbraith, D.R., Hegde, B., Sunny, R., Tiwari, R. (2023). Functional traits of tropical forest tree species, Sirsi, Western Ghats, India, 2021. NERC EDS Environmental Information Data Centre 10.5285/d057f4e4-c2c7-4cea-a5de-1562f970a533 This dataset includes tree eco-physiological traits characterising ranges of functioning of various components of trees. Specifically the dataset includes measurements of thermal limits of functioning of photosystem II, hydraulic safety margin, turgor loss point, CO2 assimilation versus temperature curves, leaf morphological traits for nine representative species measured during two seasons: post-monsoon and summer. The overall purpose of the measurements from 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 site (Sirsi). Full details about this dataset can be found at https://doi.org/10.5285/d057f4e4-c2c7-4cea-a5de-1562f970a533 Gloor, E. University of Leeds e.gloor@leeds.ac.uk https://orcid.org/0000-0002-9384-6341 ORCID record ORCID is an open, non-profit, community-driven effort to create and maintain a registry of unique researcher identifiers and a transparent method of linking research activities and outputs to these identifiers. information author Barua, D. IISER, Pune dbarua@iiserpune.ac.in https://orcid.org/0000-0002-8761-0084 ORCID record ORCID is an open, non-profit, community-driven effort to create and maintain a registry of unique researcher identifiers and a transparent method of linking research activities and outputs to these identifiers. information author Galbraith, D.R. University of Leeds D.R.Galbraith@leeds.ac.uk https://orcid.org/0000-0002-5555-4823 ORCID record ORCID is an open, non-profit, community-driven effort to create and maintain a registry of unique researcher identifiers and a transparent method of linking research activities and outputs to these identifiers. information author Hegde, B. Unaffiliated balachandra.hegde@gmail.com author Sunny, R. St. Joseph's college, Calicut ronsunny1512@gmail.com https://orcid.org/0000-0002-8723-607X ORCID record ORCID is an open, non-profit, community-driven effort to create and maintain a registry of unique researcher identifiers and a transparent method of linking research activities and outputs to these identifiers. information author Tiwari, R. University of Leeds shimogarakesh@gmail.com https://orcid.org/0000-0002-2191-769X ORCID record ORCID is an open, non-profit, community-driven effort to create and maintain a registry of unique researcher identifiers and a transparent method of linking research activities and outputs to these identifiers. information author Gloor, E. University of Leeds e.gloor@leeds.ac.uk pointOfContact NERC EDS Environmental Information Data Centre info@eidc.ac.uk custodian University of Leeds e.gloor@leeds.ac.uk owner NERC EDS Environmental Information Data Centre info@eidc.ac.uk publisher tropical forest tree GEMET - Concepts, version 4.1.3 2019-01-28 creation Safety limits Tree traits otherRestrictions no limitations otherRestrictions This resource is available under the terms of the Open Government Licence otherRestrictions If you reuse this data, you should cite: Gloor, E., Barua, D., Galbraith, D.R., Hegde, B., Sunny, R., Tiwari, R. (2023). Functional traits of tropical forest tree species, Sirsi, Western Ghats, India, 2021. NERC EDS Environmental Information Data Centre https://doi.org/10.5285/d057f4e4-c2c7-4cea-a5de-1562f970a533 textTable 100 English utf8 biota environment 2021-01-01 2021-12-31 74.823 74.845 14.6 14.63 Comma-separated values (CSV) NERC EDS Environmental Information Data Centre info@eidc.ac.uk distributor https://data-package.ceh.ac.uk/data/d057f4e4-c2c7-4cea-a5de-1562f970a533 Download the data Download a copy of this data download https://data-package.ceh.ac.uk/sd/d057f4e4-c2c7-4cea-a5de-1562f970a533.zip Supporting information Supporting information available to assist in re-use of this dataset information dataset dataset Commission Regulation (EU) No 1089/2010 of 23 November 2010 implementing Directive 2007/2/EC of the European Parliament and of the Council as regards interoperability of spatial data sets and services 2010-12-08 The trait data were measured during targeted campaigns in 2020 and 2021 at a forest fragment close to Sirsi. Measurement methodologies: 1) Thermal traits: a) CO2 assimilation temperature relationship, derived from leaf A-T (CO2 assimilation versus temperature) curves measured using LICOR 6400 and b) Temperature limits of Photosystem II functioning derived from fluorescence measurement of leaf disks heated in water bath. 2) Hydraulic traits - a) Stress (negative pressure) at which 50% of conductivity is lost based on vulnerability curves and b) Turgor loss point measured using PV curves.