Identification

Title

Leaf functional trait data from three experimental sites in the Colombian Andes, June-August 2019

Abstract

This dataset includes key leaf functional trait data collected from three common garden sites along an elevation/temperature gradient in the Colombian Andes. From eight species, there are a selection of leaf structural (leaf mass per unit area, leaf thickness, leaf dry matter content, leaf area, leaf width) nutrient (nitrogen and phosphorus, expressed on area- and mass-bases) and water-use efficiency (13C and g1) traits. Values for these traits were obtained by a combination of laboratory analysis, raw measurements with handheld equipment, and processing with packages in the ‘R’ environment. Full details about this dataset can be found at https://doi.org/10.5285/55ed98e7-f150-43c8-9b93-d639c1c8af3e

Resource type

dataset

Resource locator

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

description: Download a copy of this data

function: download

https://data-package.ceh.ac.uk/sd/55ed98e7-f150-43c8-9b93-d639c1c8af3e.zip

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

function: information

Unique resource identifier

code

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

codeSpace

doi:

Dataset language

eng

Spatial reference system

code identifying the spatial reference system

Classification of spatial data and services

Topic category

biota

environment

Keywords

Geographic location

West bounding longitude

-78.003

East bounding longitude

-71.675

North bounding latitude

11.867

South bounding latitude

0.264

Temporal reference

Temporal extent

Begin position

2019-06-01

End position

2019-08-31

Dataset reference date

date type

publication

effective date

2024-10-21

date type

creation

effective date

2023-11-09

Frequency of update

Quality and validity

Lineage

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.

Conformity

Conformity report

specification

title

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

organisation name

University of Exeter

email address

ajfc95@gmail.com

web address

responsible party role

author

Responsible party

organisation name

Universidad del Rosario

email address

adriana.sanchez@urosario.edu.co

responsible party role

author

Responsible party

organisation name

University of Exeter

email address

L.Mercado@exeter.ac.uk

organisation name

University of Exeter

email address

EMAIL NOT PROVIDED

responsible party role

owner

Metadata on metadata

Metadata point of contact

organisation name

full postal address

Lancaster Environment Centre, Library Avenue, Bailrigg

Lancaster

LA1 4AP

email address

info@eidc.ac.uk

web address

https://eidc.ac.uk/

description: The Environmental Information Data Centre (EIDC) is the UK's national data centre for terrestrial and freshwater sciences.

function: information

responsible party role

pointOfContact

Metadata date

2025-03-21T10:51:28

Metadata language

eng