Data and code for spectral canopy transmittance in diverse tree communities

Williams, Laura J.
Kovach, Kyle R.
Guzman Q., J. Antonio
Stefanski, Artur
Bermudez, Raimundo
Butler, Ethan E.
Glenn-Stone, Catherine
Hajek, Peter
Klama, Johanna
Moradi, Aboubakr
Park, Maria H.
Scherer-Lorenzen, Michael
Townsend, Philip A.
Reich, Peter B.
Cavender-Bares, Jeannine
Schuman, Meredith C.
Thumbnail Image

Persistent link to this item

https://hdl.handle.net/11299/268119
Statistics
View Statistics

Keywords

Collection period

2021-07-01
2021-08-25

Date completed

Date updated

Time period coverage

Geographic coverage

Source information

Journal Title

Journal ISSN

Volume Title

Title

Data and code for spectral canopy transmittance in diverse tree communities

Published Date

Authors

Group

Author Contact

Williams, Laura
laura.williams@westernsydney.edu.au

Type

Dataset
Field Study Data
Statistical Computing Software Code

Abstract

Light may shape forest function not only as a source of energy or a cause of stress but also as a context cue: plant photoreceptors can detect specific wavelengths of light, and plants use this information to assess their neighborhoods and adjust their patterns of growth and allocation. Here, we examined how the spectral profile of light (350-2200 nm) transmitted through tree canopies differs among communities within three tree diversity experiments on two continents (200 plots each planted with one to 12 tree species). This dataset includes data and metadata on canopy transmittance and leaf area index (LAI) measured on these plots as well as leaf-level transmittance measured for each species in monoculture plots. Data processing code and example analysis code are also provided.

Description

This dataset comprises a series of folders and sub-folders that contain the following: (1) data files of canopy transmittance, leaf area index and leaf-level transmittance (Data), (2) example R code to process raw spectrometer files (Code/R_processing) (3) R code to reproduce the data analyses reported in the associated paper (Code/R_analysis), and (4) supplementary figures used to assess data processing and outlier identification (Figures_data-processing).

Referenced by

Williams, L.J., Kovach, K.R., Guzman Q., J.A., Stefanski, A., Bermudez, R., Butler, E.E., Coq--Etchegaray, D., Glenn-Stone, C., Hajek, P., Klama, J., Medlyn, B.E., Messier, C., Moradi, A., Paquette, A., Park, M.H., Scherer-Lorenzen, M., Townsend, P.A., Reich, P.B., Cavender-Bares, J., Schuman, M.C. (accepted) Tree diversity shapes the spectral signature of light transmittance in developing forests. Ecology.

Related to

Replaces

item.page.isreplacedby

License

Attribution-ShareAlike 4.0 International
 http://creativecommons.org/licenses/by-sa/4.0/

Publisher

Collections

Data Repository for U of M (DRUM)

Funding information

NSF Biology Integration Institute: Advancing Spectral Biology in Changing Environments to understand Diversity (NSF-DBI- 2021898)
NSF Macrosystems Biology and NEON-Enabled Science (DEB 1638720)
Long-Term Ecological Research program at Cedar Creek Ecosystem Science Reserve (NSF LTER 1831944)
NOMIS foundation grant Remotely Sensing Ecological Genomics
Innovationsfonds Forschung

item.page.sponsorshipfunderid

item.page.sponsorshipfundingagency

item.page.sponsorshipgrant

Previously Published Citation

Other identifiers

Suggested citation

View/Download File

File View/Open
Description
Size
Readme_Williams.txt
(44.6 KB)

Code.zip
(35.58 KB)

Data.zip
(33.83 MB)

Figures_data-processing.zip
(30.44 MB)

Picture 1.jpg
(461.58 KB)

Content distributed via the University Digital Conservancy may be subject to additional license and use restrictions applied by the depositor. By using these files, users agree to the Terms of Use. Materials in the UDC may contain content that is disturbing and/or harmful. For more information, please see our statement on harmful content in digital repositories.