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Serrano, J. et al

Tree census and above ground biomass variation in permanent forest monitoring plots along altitudinal and forest perturbation gradients in the Colombian Andes, 2017-2020

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This dataset is under embargo and will be made available by 1 May 2025 at the latest   Find out more »

https://doi.org/10.5285/a46f0ac4-5ca1-4259-a4f8-d825b5d81d63
The data were collected between 2017 and 2020 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 dataset includes information on tree diameter and height, scientific and family names following APG III, Above Ground Biomass (AGB), perturbation gradient, altitude, and plot code. The aim of this data collection is to investigate the factors influencing forest change across various gradients, and to evaluate the forest composition of these forests. 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.
Publication date: 2023-10-11
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More information

View numbers valid from 11 October 2023 (information prior to this was not collected)

Format

Comma-separated values (CSV)

Spatial information

Study area
Spatial representation type
Tabular (text)
Spatial reference system
WGS 84 / Pseudo-Mercator

Temporal information

Temporal extent
2017-01-01    to    2020-12-31

Provenance & quality

The study conducted a tree census that included measuring tree diameter and height, calculating aboveground biomass, identifying species and families and plot code. A total of 26,387 trees were measured in the lowlands, midlands, and highlands. Yellow paint was used to mark optimal measurement points, and woody stems with a diameter greater than or equal to 5 cm were measured. Taxonomic identifications were made by collecting one botanical specimen per morphospecies and per disturbance gradient. The height of ten stems per plot was measured with a hypsometer, and manual estimates were used to calibrate the remaining stems. The tree height was estimated using the retrieve H function. Above Ground biomass was estimated using pantropical models, and the AGB was calculated using the equation proposed by Chave et al. (2014).

Licensing and constraints

This dataset is under embargo and will be made available by 1 May 2025 at the latest   Find out more »

This dataset will be available under the terms of the Open Government Licence

Cite this dataset as:
Serrano, J.; Aldana, A.M.; Hurtado, A.B.; Avella Muñoz, E.A.; Norden, N.; Stevenson, P.; López-Camacho, R.; Pennington, T.; Feldpausch, T.R. (2023). Tree census and above ground biomass variation in permanent forest monitoring plots along altitudinal and forest perturbation gradients in the Colombian Andes, 2017-2020. NERC EDS Environmental Information Data Centre. https://doi.org/10.5285/a46f0ac4-5ca1-4259-a4f8-d825b5d81d63

Supplemental information

Data are managed online at

Correspondence/contact details

Ted, F.
University of Exeter
 T.R.Feldpausch@exeter.ac.uk

Authors

Serrano, J.
Fauna & Flora International
Aldana, A.M.
Universidad del Rosario
Hurtado, A.B.
Instituto de Investigación de Recursos Biológicos Alexander von Humboldt
Avella Muñoz, E.A.
Universidad Distrital Francisco José de Caldas
Norden, N.
Instituto de Investigación de Recursos Biológicos Alexander von Humboldt
Stevenson, P.
Universidad de los Andes
López-Camacho, R.
Universidad Distrital Francisco José de Caldas
Pennington, T.
University of Exeter
Feldpausch, T.R.
University of Exeter

Other contacts

Rights holder
University of Exeter
Custodian
NERC EDS Environmental Information Data Centre
 info@eidc.ac.uk
Publisher
NERC EDS Environmental Information Data Centre
 info@eidc.ac.uk

Additional metadata

Topic categories
biota
Keywords
Altitudinal gradient , Colombian Andean , Forest ecology , Human modified tropical forests , Human perturbation gradient
Funding
Natural Environment Research Council Award: NE/R017980/1
Last updated
24 March 2025 16:06