Date (Publication)

2024-10-21

Date (Creation)

2023-11-09

Identifier

https://catalogue.ceh.ac.uk/id/55ed98e7-f150-43c8-9b93-d639c1c8af3e

Identifier

doi: / 10.5285/55ed98e7-f150-43c8-9b93-d639c1c8af3e

Other citation details

Cox, A.J.F., González-Caro, S., Meir, P., Hartley, I.P., Restrepo, Z., Villegas, J.C., Sanchez, A., Mercado, L.M. (2024). Leaf functional trait data from three experimental sites in the Colombian Andes, June-August 2019. NERC EDS Environmental Information Data Centre 10.5285/55ed98e7-f150-43c8-9b93-d639c1c8af3e

Access constraints

otherRestrictions Other restrictions

Other constraints

no limitations

Use constraints

otherRestrictions Other restrictions

Other constraints

This resource is available under the terms of the Open Government Licence

Use constraints

otherRestrictions Other restrictions

Other constraints

If you reuse this data, you should cite: Cox, A.J.F., González-Caro, S., Meir, P., Hartley, I.P., Restrepo, Z., Villegas, J.C., Sanchez, A., Mercado, L.M. (2024). Leaf functional trait data from three experimental sites in the Colombian Andes, June-August 2019. NERC EDS Environmental Information Data Centre https://doi.org/10.5285/55ed98e7-f150-43c8-9b93-d639c1c8af3e

Spatial representation type

textTable Text, table

Distance

10  urn:ogc:def:uom:EPSG::9001

Metadata language

EnglishEnglish

Character set

utf8 UTF8

Topic category

• Biota
• Environment

Begin date

2019-06-01

End date

2019-08-31

Unique resource identifier

WGS 84

Distribution format

• Comma-separated values (CSV) ()

OnLine resource

Download the data

Download a copy of this data

OnLine resource

Supporting information

Supporting information available to assist in re-use of this dataset

Hierarchy level

dataset Dataset

Other

dataset

Statement

Leaf material was collected from eight species at the experimental sites. Immediately after collection, leaves were sealed in individual plastic bags with damp cotton wool to prevent premature drying. For leaf structural traits, the following procedures were followed. High-precision electronic callipers were used to measure leaf thickness from three areas of each leaf, avoiding the central vein, with the average of these three measurements taken to be leaf thickness (mm). Images were taken of each leaf using a CanoScan LiDE 300 flatbed scanner and then processed using the ‘R’ environment (v4.2.1; R Core Team, 2022) to calculate leaf area (cm2) and leaf width (mm): leaf area was obtained using the ‘LeafArea’ package in R which automates the ImageJ programme while leaf width values were calculated using the ‘LeafJ’ plugin for ImageJ. Following scanning, leaves were weighed to give their wet weight before being dried in an oven to constant mass for approximately 48 hours at 70°C, then re-weighed to give their dry weight. Leaf dry matter content (mg g-1) was calculated as the quotient of leaf dry weight to leaf wet weight while leaf mass per unit area (g m-2) was calculated by dividing dry weight by LA. For leaf nutrients and 13C values, leaves were ground into a powder using a shaker mill and ~1 mg of sample for each was then packed into tin capsules and run through an infrared mass spectrometer. This returned %N values, and thus, mass-based nitrogen content, as well as 13C. For leaf P content, 0.1-0.2 g of sample was subjected to ICP-OES analysis with a unique Dichroic Spectral; this returned mass-based phosphorus content. Both leaf N and P can be expressed on an area-basis by dividing by LMA. For g1, the unified stomatal model was then fitted to diurnal course An and gs measurements in the R environment using the ‘plantecophys’ package to obtain the model parameter g1. The An and gs measurements were collected using LI-6400XT portable photosynthesis system with the ambient conditions (photosynthetically active radiation, relative humidity, air temperature and 410ppm CO2) for each leaf replicated within the cuvette of the LI-6400XT before the leaf was inserted, allowing readings to be taken almost immediately.

File identifier

55ed98e7-f150-43c8-9b93-d639c1c8af3e XML

Metadata language

EnglishEnglish

Character set

ISO/IEC 8859-1 (also known as Latin 1) 8859 Part 1

Hierarchy level

dataset Dataset

Hierarchy level name

dataset

Date stamp

2025-11-13T16:22:50

Metadata standard name

UK GEMINI

Metadata standard version

2.3