Identification

Title

Functional traits of woody plants sampled in permanent forest monitoring plots along altitudinal and forest perturbation gradients in the Colombian Andes, 2019-2022

Abstract

[This dataset is embargoed until May 1, 2025]. The dataset contains information on six functional traits of woody plants, including Leaf Area, Specific Leaf Area (SLA), Leaf Dry Matter Content (LDMC), Leaf Thickness (Lth), Wood Density (WD), Bark Thickness (BT). It also includes data on concentrations of C, N, P, Ca, Mg, and K in leaves; leaf fresh mass and leaf dry mass data; and fresh wood volume and dry wood mass data to calculate Wood Density. Ten leaves per individual were sampled, and three measurements were taken for leaf thickness at the base, middle, and top of the leaf. For wood density, a single branch sample was taken per individual and for bark thickness five measurements per individual were made. The data were collected between 2019 and 2022 from 27 forest monitoring plots (0.5 ha each) in five locations along an altitudinal (lowland, mid-elevation, and highland forests) and forest perturbation (low, medium, and high perturbation levels) gradient in Andean ecosystems in Colombia. The database includes information about the plot location and parameters of the locality. The purpose of this data collection was to determine whether the expression of functional traits in woody plants differs between the perturbation gradient and the relationship of the traits to ecosystem processes. This information is important for understanding the drivers of variation in forest resilience and the impacts of perturbation on ecosystem functioning. This data set was obtained within the framework of the BioResilience project, a transdisciplinary investigation that seeks to understand the resilience of forest ecosystems after the post-conflict period in Colombia. Full details about this dataset can be found at https://doi.org/10.5285/0da218a8-2882-4ee7-bb2a-50a51f7f4138

Resource type

dataset

Resource locator

Unique resource identifier

code

https://catalogue.ceh.ac.uk/id/0da218a8-2882-4ee7-bb2a-50a51f7f4138

codeSpace

doi:

Dataset language

eng

Spatial reference system

code identifying the spatial reference system

Classification of spatial data and services

Topic category

biota

Keywords

Geographic location

West bounding longitude

-75.55

East bounding longitude

-73.16

North bounding latitude

6.1

South bounding latitude

4.9

Temporal reference

Temporal extent

Begin position

2019-01-01

End position

2022-12-31

Dataset reference date

date type

publication

effective date

2023-09-12

Frequency of update

Quality and validity

Lineage

Forest plant trait data was obtained through direct sampling in a network of permanent forest plots of 0.5 hectares, each, located across an altitude and perturbation gradient in the Andean ecosystems of Colombia. The study collected foliar and bark data from trees, including leaf carbon, nitrogen, phosphorus, calcium, magnesium, potassium, specific leaf area, leaf dry matter content, leaf thickness, leaf area, leaf fresh mass, leaf dry mass, wood mass dry, wood density, bark thickness, and wood volume fresh. In each plot, mature trees meeting certain criteria were selected, and from each selected tree a branch with leaves and a piece of wood were collected. The leaves were randomly selected and placed on an A4 size sheet, while the piece of wood was 10 cm long and between 1 and 2 cm in diameter. Each sample was labeled with the plot code and tree number for identification. All measurements were conducted according to the methodology described by Salgado-Negret et al. (2016). The study used various techniques to calculate these parameters and ensured data quality by calculating the average for each individual considering the replicas.

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

reference date

date type

publication

effective date

2010-12-08

degree

explanation

Data format

name of format

Comma-separated values (CSV)

version of format

Constraints related to access and use

Constraint set

Limitations on public access

Embargoed

Constraint set

Limitations on public access

Constraint set

Limitations on public access

If you reuse this data, you should cite: Salgado-Negret, B., Hernández-Torres, L.H., Serrano, J., López, L.G., Pennington, T., Feldpausch, T.R. (2023). Functional traits of woody plants sampled in permanent forest monitoring plots along altitudinal and forest perturbation gradients in the Colombian Andes, 2019-2022. NERC EDS Environmental Information Data Centre https://doi.org/10.5285/0da218a8-2882-4ee7-bb2a-50a51f7f4138

Responsible organisations

Responsible party

organisation name

Universidad Nacional de Colombia

email address

bsalgadon@unal.edu.co

web address

https://orcid.org/0000-0002-3103-9878

description: 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.

function: information