Functional traits of the tallest tropical tree species in the Tumucumaque Mountains National Park, Brazil, 2024

Availability:
Not released
Published by:
Environmental Information Data Centre
Last updated:
14 May 2026
Topic:
Not added
Licence:
None

Summary

[This dataset is embargoed until September 30, 2027]. This dataset comprises 14 traits related to plant hydraulic function collected on 16 Dinizia Excelsa trees ranging from 19.7-74 m tall in the Parque Nacional Montanhas de Tumucumaque, Northeast Amazon, Brazil. Traits were always measured in a top canopy position and when crown depth allowed along a lower and a branch. These data were all collected following standardised methodologies for each trait sampled and they were all collected during one field campaign which took place during November 2024. The aim of this data set was to test whether tree height alters the water transport system of trees to make them more vulnerable to the impacts of drought. Full details about this dataset can be found at https://doi.org/10.5285/1dba26ab-1aa8-45f1-baab-5bdf25a1c7a0

More from this publisher

All datasets from Environmental Information Data Centre

Search

Data links

This data hasn’t been released by the publisher.

Contact the publisher for more information.

Additional information

View additional metadata
Added to data.gov.uk
2026-05-11
Access contraints
Embargoed
Harvest GUID
1dba26ab-1aa8-45f1-baab-5bdf25a1c7a0
Extent
Latitude: 1.13° to °
Longitude: -52.5° to -52.5°
Spatial reference system
Dataset reference date
2026-04-16 (publication)
2027-09-30 (released)
Frequency of update
Responsible party
(pointOfContact, author, custodian, publisher, owner); Instituto Federal de Educação Ciência e Tecnologia do Amapá (author)
ISO 19139 resource type
dataset
Metadata language
eng
Source Metadata
XML
HTML

Contact

Enquiries

Contact Environmental Information Data Centre regarding this dataset

Freedom of Information (FOI) requests

UK Centre for Ecology & Hydrology enquiry service Freedom of information requests for this dataset