Increasing understanding of floodplain forest dynamics, 2018-2020, Upper Mississippi River

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Persistent link to this item

https://doi.org/10.13020/c9gn-0j35
https://hdl.handle.net/11299/225385

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Keywords

floodplain forest

Mississippi River

Acer saccharinum

regeneration

Collection period

2018-06-11
2020-09-29

Date completed

2021-11-24

Date updated

Time period coverage

Geographic coverage

Source information

Journal Title

Journal ISSN

Volume Title

Title

Increasing understanding of floodplain forest dynamics, 2018-2020, Upper Mississippi River

Published Date

2021-12-03

Authors

Reuling, Laura F

Van Appledorn, Molly

Meier, Andrew R

Nielsen, Daniel

Windmuller-Campione, Marcella A

Group

University of Minnesota Silva Lab

Author Contact

Reuling, Laura F
lreuling@umn.edu

Type

Dataset
Field Study Data

Abstract

This forest inventory dataset was collected from 2018-2020 in floodplain forests along the Upper Mississippi River (MN, WI, and IA). It includes tree and species level information on overstory trees, tree regeneration, understory plant communities, and coarse woody debris at twelve study sites (108 total plots). These data were used to understand floodplain forest dynamics and inform forest management for these systems.

Description

Referenced by

Windmuller-Campione, M. A., Reuling, L. F., Van Appledorn, M., Nielsen, D. M., & Meier, A. R. (2022). What is a stand? Assessing the variability of composition and structure in floodplain forest ecosystems across spatial scales in the Upper Mississippi River. Forest Ecology and Management, 520, 120385.
https://doi.org/10.1016/j.foreco.2022.120385

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Collections

Data Repository for U of M (DRUM)

Funding information

U. S. Army Corps of Engineers (Great Lakes-Northern Forest CESU W912HZ-18-SOI-0001)

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Previously Published Citation

Suggested citation

Reuling, Laura F; Van Appledorn, Molly; Meier, Andrew R; Nielsen, Daniel; Windmuller-Campione, Marcella A. (2021). Increasing understanding of floodplain forest dynamics, 2018-2020, Upper Mississippi River. Retrieved from the University Digital Conservancy, https://doi.org/10.13020/c9gn-0j35.

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