Functional traits of woody plants sampled in permanent forest monitoring plots along altitudinal and forest perturbation gradients in the Colombian Andes, 2019-2022
[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
Default
Identification info
- Metadata Language
- English (en)
- Character set
- utf8
- Dataset Reference Date ()
- 2023-09-12
- Identifier
- doi: / 10.5285/0da218a8-2882-4ee7-bb2a-50a51f7f4138
- Other citation details
- 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 10.5285/0da218a8-2882-4ee7-bb2a-50a51f7f4138
- Limitations on Public Access
- otherRestrictions
- Other constraints
- Embargoed
- Use constraints
- otherRestrictions
- Use constraints
- otherRestrictions
- Other constraints
- 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
- Spatial representation type
- textTable
- Distance
- 1000 urn:ogc:def:uom:EPSG::9001
- Topic category
-
- Biota
N
S
E
W
- Begin date
- 2019-01-01
- End date
- 2022-12-31
Distribution Information
- Data format
-
-
Comma-separated values (CSV)
()
-
Comma-separated values (CSV)
()
- Quality Scope
- dataset
- Other
- dataset
Report
- Dataset Reference Date ()
- 2010-12-08
- Statement
- 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.
Metadata
- File identifier
- 0da218a8-2882-4ee7-bb2a-50a51f7f4138 XML
- Metadata Language
- English (en)
- Character set
- ISO/IEC 8859-1 (also known as Latin 1)
- Resource type
- dataset
- Hierarchy level name
- dataset
- Metadata Date
- 2024-03-20T08:27:38
- Metadata standard name
- UK GEMINI
- Metadata standard version
- 2.3
NERC EDS Environmental Information Data Centre
Lancaster Environment Centre, Library Avenue, Bailrigg
,
Lancaster
,
LA1 4AP
,
UK
https://eidc.ac.uk/