Identification

Title

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

Abstract

[This dataset is embargoed until May 1, 2025]. 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. Full details about this dataset can be found at https://doi.org/10.5285/a46f0ac4-5ca1-4259-a4f8-d825b5d81d63

Resource type

dataset

Resource locator

Unique resource identifier

code

https://catalogue.ceh.ac.uk/id/a46f0ac4-5ca1-4259-a4f8-d825b5d81d63

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

-76.19

East bounding longitude

-74.103

North bounding latitude

6.61

South bounding latitude

4.409

Temporal reference

Temporal extent

Begin position

2017-01-01

End position

2020-12-31

Dataset reference date

date type

publication

effective date

2023-10-11

Frequency of update

Quality and validity

Lineage

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).

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: 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

Responsible organisations

Responsible party

organisation name

Fauna & Flora International

email address

enquiries@ceh.ac.uk

web address

https://orcid.org/0000-0002-9751-5339

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