Work Description

Title: Bark thickness traits of tropical dry forests seedlings Open Access Deposited

h
Attribute Value
Methodology
  • This dataset contains measurements of bark and wood traits of 41 seedling species from tropical dry forests. Between two and six seedlings (i.e., 20-70 cm in height, and less than 1 cm in diameter) per species were collected in four mature dry forest in Colombia. Cross and tangential anatomical sections were cut using a rotary microtome. Sections were stained (AstraBlue + Safranine), dehydrated in ethanol series, dipped in solvent and mounted on slides. Photographs were taken at 10x, 40x and 100x magnification. All traits were measured using the ImageJ software.
Description
  • This dataset is part of a research project that aims to study how bark and wood traits shape species ecological strategies at the seedling stage in four tropical forests in Colombia. These forests are located in the municipalities of Jabiru (Tolima), Cotove (Antioquia), Colorados (Bolivar) and Tyrona (Magdalena). Detailed information on the location of these forests can be found in:  https://doi.org/10.1111/ele.13659
Creator
Creator ORCID iD
Depositor
Contact information
Discipline
Funding agency
  • Other Funding Agency
  • National Science Foundation (NSF)
Other Funding agency
  • National Geographic
Keyword
Related items in Deep Blue Documents
Resource type
Last modified
  • 06/11/2024
Published
  • 02/15/2024
Language
DOI
  • https://doi.org/10.7302/knj4-0158
License
To Cite this Work:
Andres Gonzalez, Maria Natalia Umaña. (2024). Bark thickness traits of tropical dry forests seedlings [Data set], University of Michigan - Deep Blue Data. https://doi.org/10.7302/knj4-0158

Relationships

This work is not a member of any user collections.

Files (Count: 2; Size: 27.6 KB)

Thumbnailthumbnail-column Title Original Upload Last Modified File Size Access Actions
readme_bark_traits.rtf 2024-02-12 2024-09-10 16.3 KB Open Access
Bark_data.csv 2024-02-12 2024-09-10 11.3 KB Open Access

Download All Files (To download individual files, select them in the “Files” panel above)

Best for data sets < 3 GB. Downloads all files plus metadata into a zip file.



Best for data sets > 3 GB. Globus is the platform Deep Blue Data uses to make large data sets available.   More about Globus

Remediation of Harmful Language

The University of Michigan Library aims to describe its collections in a way that respects the people and communities who create, use, and are represented in them. We encourage you to contact us anonymously if you encounter harmful or problematic language in catalog records or finding aids. More information about our policies and practices is available at Remediation of Harmful Language.