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
This dataset is under embargo and will be made available by 1 May 2025 at the latest Find out more »
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
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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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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
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Supplemental information
Data are managed online at
Correspondence/contact details
Authors
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
López-Camacho, R.
Universidad Distrital Francisco José de Caldas
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