Maximum carbon assimilation model for understory wood plants growing at Bagley Nature Area in Duluth, MN

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Persistent link to this item

https://doi.org/10.13020/t9bg-vr86
https://hdl.handle.net/11299/213804

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Keywords

invasive species

light availability

understory

phenology

leaf expansion

leaf out

senescence

carbon assimilation

photosynthesis

Collection period

2017/02/16
2018/11/11

Date completed

2019/12/22

Date updated

Time period coverage

Geographic coverage

Source information

Journal Title

Journal ISSN

Volume Title

Title

Maximum carbon assimilation model for understory wood plants growing at Bagley Nature Area in Duluth, MN

Published Date

2020-05-26

Authors

O'Connell, Erin M

Savage, Jessica A

Group

Savage research team

Author Contact

O'Connell, Erin M
oconn877@d.umn.edu

Type

Dataset
Field Study Data
Observational Data
Programming Software Code

Abstract

These data were collected and analyzed for a project comparing the leaf phenology, carbon gain, growth, and freezing susceptibility of invasive and native species. Maximum seasonal carbon assimilation was modeled for six plants per eight species growing in a 50-year-old mixed forest. The model is based on understory light availability on sunny days, carbon dioxide assimilation rates, and leaf area adjusted in the spring for expanding leaves and in the fall for senescing leaves.

Description

There is one readme file, one R file, and six CSV files. The R file contains code modeling maximum seasonal carbon assimilation for understory shrubs. All six CSV files are required inputs for the R code and contain data that are referenced throughout the model. The CSV files include data on leaf phenology, photosynthetic light response curves, and understory light.

Referenced by

O'Connell, E. and Savage, J. (2020). Extended leaf phenology has limited benefits for invasive species growing at northern latitudes. Biological Invasions 22(10): 2957-2974.
https://doi.org/10.1007/s10530-020-02301-w

Related to

Plant phenology data
http://hdl.handle.net/11299/213802
Understory Light data
http://hdl.handle.net/11299/213803

Replaces

License

CC0 1.0 Universal
http://creativecommons.org/publicdomain/zero/1.0/

Publisher

Collections

Data Repository for U of M (DRUM)

Funding information

National Science Foundation (IOS:1656318)
University of Minnesota – Duluth
Integrated Biosciences Graduate Program

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Previously Published Citation

Suggested citation

O'Connell, Erin M; Savage, Jessica A. (2020). Maximum carbon assimilation model for understory wood plants growing at Bagley Nature Area in Duluth, MN. Retrieved from the Data Repository for the University of Minnesota (DRUM), https://doi.org/10.13020/t9bg-vr86.

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