GBIF Integrated Publishing Toolkit(IPT)

free and open access to biodiversity data

University of Amsterdam (NL) - Páramo vegetation research, Venezuela.

Latest version published by University of Amsterdam / IBED on Jul 14, 2015 University of Amsterdam / IBED

The Institute for Biodiversity and Ecosystem Dynamics (IBED) from University of Amsterdam (UvA) has been working on the Paramos of Colombia since 1970, collecting information on different aspects of plant ecology. The data source is the field data from professor Antoine Cleef (collected in 1978 and 1984). The study provides information on the occurrence and location of 159 plant species from the Paramo in this area, collected in 17 releves. For the purpose of the GBIF data-publishing, vegetation releve data were converted into species occurrence data.

Data Records

The data in this occurrence resource has been published as a Darwin Core Archive (DwC-A), which is a standardized format for sharing biodiversity data as a set of one or more data tables. The core data table contains 159 records.

This IPT archives the data and thus serves as the data repository. The data and resource metadata are available for download in the downloads section. The versions table lists other versions of the resource that have been made publicly available and allows tracking changes made to the resource over time.

Downloads

Download the latest version of this resource data as a Darwin Core Archive (DwC-A) or the resource metadata as EML or RTF:

Data as a DwC-A file download 159 records in English (10 KB) - Update frequency: not planned
Metadata as an EML file download in English (10 KB)
Metadata as an RTF file download in English (10 KB)

Versions

The table below shows only published versions of the resource that are publicly accessible.

Rights

Researchers should respect the following rights statement:

The publisher and rights holder of this work is University of Amsterdam / IBED. This work is licensed under a Creative Commons Attribution (CC-BY) 4.0 License.

GBIF Registration

This resource has been registered with GBIF, and assigned the following GBIF UUID: 0d384803-0d1b-4409-ada1-22d8009ecfa9.  University of Amsterdam / IBED publishes this resource, and is itself registered in GBIF as a data publisher endorsed by Netherlands Biodiversity Information Facility.

Keywords

Venezuela Andean Paramos Merida Páramo vegetation Altitude Réleve method Braun-Blanquet method Conservation; Occurrence; Observation

Contacts

Who created the resource:

Antoine M. Cleef
Professor
University of Amsterdam Science Park 904 NL-1098HX Amsterdam Noord-Holland NL

Who can answer questions about the resource:

Antoine M. Cleef
Professor
University of Amsterdam Science Park 904 NL-1098HX Amsterdam Noord-Holland NL

Who filled in the metadata:

Paola Reyes
Research Assistent
NLBIF, IBED, University of Amsterdam Science Park 904 NL-1098HX Amsterdam Noord-Holland NL

Who else was associated with the resource:

Publisher
Cees H.J. Hof
Node Manager
NLBIF P.O. Box 93102 NL-1090 BC Amsterdam Noord-Holland NL +31 20 5255496
http://www.nlbif.nl

Geographic Coverage

The paramo area is located in Merida province in Venezuela. The dataset covers an altitudinal range from 2950m.a.s.l. up to 4280m.a.s.l.

Bounding Coordinates South West [7.48, -72.68], North East [9.79, -69.55]

Taxonomic Coverage

All plants identified to species level. Vegetation including phanerogams, bryophytes and lichens

Kingdom  Plantae (Phanerogams),  Plantae (Bryophytes),  Fungi (Lichens)

Temporal Coverage

Start Date / End Date 1978-01-01 / 1984-01-01

Project Data

No Description available

Title Field data from Antoine Cleef
Study Area Description The paramo area is located in Merida province in Venezuela. The dataset covers an altitudinal range from 2950m.a.s.l. up to 4280m.a.s.l.
Design Description The method used for paramo vegetation sampling was based on the Braun-Blanquet or Zürich-Montpellier schools which take the relevé as the main sampling unit. The Braun-Blanquet method is based on dominant species that are grouped in associations and then at a higher level in alliances. This is the standard methodology used in Europe, South Africa, United States, Japan and in the world in general. One of the final goals of the methodology mainly in Europe is to get to nature conservation, which is also the goal in the Colombian paramos.

The personnel involved in the project:

Author
Antoine Cleef

Sampling Methods

The vegetation sampling was done by the relevé method following the Braun-Blanquet principles. The relevé is a list of the plants in a delimited plot of vegetation, with information on species cover and on substrate and other abiotic features in the plot. The vegetation releve data were converted into species occurrence data.

Study Extent The paramo area is located in Merida province in Venezuela. The dataset covers an altitudinal range from 2950m.a.s.l. up to 4280m.a.s.l. Data collected between 1978 and 1984.
Quality Control The data stored in TurboVeg was checked to identify errors in the information or gaps needed to be filled. The two main fields identified to be checked/completed were the georeference data and the validation of the taxonomy of each species.

Method step description:

  1. Releve data was stored in the software TurboVeg and then exported into species occurrence data. The species list used in TurboVeg was checked by an expert to confirm the valid taxonomy (taking into account taxonomy changes, synonyms, etc)(Guido van Reenen, paramo species list). This list was cross-checked with The Plant List (http://www.theplantlist.org/), for the period July 2011 until February 2013 (during this time frame the names where the accepted). All the data lacks georeference information, precision of the georeference data and specific habitat indication.

Additional Metadata

Purpose Purpose 1: Data in TurboVeg Purpose 2: data converted to species occurrence. Data repatriation to Colombia to be used in actual research.
Alternative Identifiers 0d384803-0d1b-4409-ada1-22d8009ecfa9
http://ipt.ibed.uva.nl/resource?r=paramo-veg-venezuela