Data and code for remote spectral detection of biodiversity effects on forest biomass

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Persistent link to this item

https://doi.org/10.13020/s7pf-am91
https://hdl.handle.net/11299/215251

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Keywords

Biodiversity-ecosystem function

Canopy nitrogen

Diversity-productivity

Forest ecology

Hyperspectral data

IDENT

Imaging spectroscopy

Remote sensing

Spectral diversity effects

Tree diversity

Collection period

2014
2015

Date completed

Date updated

Time period coverage

Geographic coverage

Source information

NASA AVIRIS-NG Imaging spectroscopy data

Journal Title

Journal ISSN

Volume Title

Title

Data and code for remote spectral detection of biodiversity effects on forest biomass

Published Date

2020-08-26

Authors

Williams, Laura J

Cavender-Bares, Jeannine

Townsend, Philip A

Couture, John J

Wang, Zhihui

Stefanski, Artur

Messier, Christian

Reich, Peter B

Group

Author Contact

Williams, Laura J
will3972@umn.edu

Type

Dataset
Field Study Data
Statistical Computing Software Code

Abstract

Quantifying how biodiversity affects ecosystem functions through time over large spatial extents is needed to meet global biodiversity goals yet is infeasible with field-based approaches alone. Imaging spectroscopy is a tool with potential to help address this challenge. In this study, we demonstrated a spectral approach to assess biodiversity effects in young forests that provides insight into its underlying drivers and could potentially be applied at large spatial scales. Using airborne imaging (NASA AVIRIS-NG) of a tree diversity experiment (IDENT-Cloquet in Cloquet, MN), spectral differences among plots enabled us to quantify net biodiversity effects on stem biomass and canopy nitrogen. In this repository, we present the spectral data and field data along with spectral model coefficients and example code for fitting and applying spectral models to calculate spectral biodiversity effects.

Description

Referenced by

Williams, L.J., Cavender-Bares, J., Townsend, P.A., Couture, J.J., Wang, Z., Stefanski, A., Messier, C., and Reich, P.B. Remote spectral detection of biodiversity effects on forest biomass. Nature Ecology & Evolution.
https://doi.org/10.1038/s41559-020-01329-4

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License

Attribution-NonCommercial-NoDerivs 3.0 United States
http://creativecommons.org/licenses/by-nc-nd/3.0/us/

Publisher

Collections

Data Repository for U of M (DRUM)

Funding information

The project was funded by a National Science Foundation and National Aeronautic and Space Administration grant awarded to Jeannine Cavender-Bares (DEB-1342872) and Philip A. Townsend (DEB-1342778) through the Dimensions of Biodiversity program.

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Suggested citation

Williams, Laura J; Cavender-Bares, Jeannine; Townsend, Philip A; Couture, John J; Wang, Zhihui; Stefanski, Artur; Messier, Christian; Reich, Peter B. (2020). Data and code for remote spectral detection of biodiversity effects on forest biomass. Retrieved from the Data Repository for the University of Minnesota (DRUM), https://doi.org/10.13020/s7pf-am91.

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