This is a Preprint and has not been peer reviewed. The published version of this Preprint is available: https://doi.org/10.1016/j.ecolmodel.2024.110750. This is version 3 of this Preprint.
Downloads
Authors
Abstract
The National Ecological Observatory Network (NEON) is a continental-scale endeavor of ecological data collection for 30 years. We created a software package, neonPlantEcology that automatically arranges the raw data from the plant presence and percent cover (DP1.10058.001) data product from NEON into tables familiar to plant ecologists. Because of the broad scale of the observatory, it is necessary to tailor the data collection to the idiosyncrasies of each of 47 different ecosystems. Furthermore, data collection practices are occasionally modified for various reasons. These complexities, along with the volume and multiscalar nature of the data, need to be understood and accounted for in order to correctly process the data. This is particularly true for the plant diversity data product. We present three case studies using the package, centered around the three primary functions of neonPlantEcology. By automating the process of preparing NEON’s plant diversity data, neonPlantEcology makes it more accessible to a wide range of users.
DOI
https://doi.org/10.32942/X2HK6D
Subjects
Ecology and Evolutionary Biology, Life Sciences
Keywords
National Ecological Observatory Network, NEON, plant data, plant ecology, R package, plant science
Dates
Published: 2024-01-17 22:06
Last Updated: 2024-05-31 04:04
Older Versions
License
CC BY Attribution 4.0 International
Additional Metadata
Language:
English
Data and Code Availability Statement:
data and code available at https://www.github.com/admahood/neonPlantEcology
There are no comments or no comments have been made public for this article.