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Forest biomass projections under alternative management and hydrological scenarios in the Reno Bottoms area of the Upper Mississippi River floodplain

Floodplain forests are being transformed by multiple pressures, prompting widespread management and restoration efforts. It is uncertain how disturbances, including hydrologic change, and management actions will interact to influence the ecology of these threatened forests. Here, we present the results of a forest landscape model in support of an ecological study detailed in the manuscript titled "Future forest conditions under alternative management and hydrological scenarios in the Upper Mississippi River floodplain". We used the spatially explicit forest landscape model, LANDIS-II, to simulate forest succession for 100 years under four hydrogeomorphic management scenarios, three forest management scenarios, and two scenarios of future hydrologic conditions. The resulting raster dataset is a multi-band .tif file containing LANDIS-II simulated biomass from the Biomass Succession extension. Each band in the .tif file corresponds to a unique combination of management-hydrology scenario, model time step, and tree species. Total biomass rasters represent the summed biomass of all tree species in the model. We excluded areas that did not overlap with the initial communities file used for LANDIS-II modeling. Any use of trade, firm, or product names is for descriptive purposes only and does not imply endorsement by the U.S. Government.

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Author(s) Matthew L. Trumper, Nathan R DeJager orcid, Molly Van Appledorn orcid, Andrew Meier
Publication Date 2025-06-26
Beginning Date of Data 2020
Ending Date of Data 2119
Data Contact
DOI https://doi.org/10.5066/P13TYTXC
Citation Trumper, M.L., DeJager, N.R., Appledorn, M.V., and Meier, A., 2025, Forest biomass projections under alternative management and hydrological scenarios in the Reno Bottoms area of the Upper Mississippi River floodplain: U.S. Geological Survey data release, https://doi.org/10.5066/P13TYTXC.
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Metadata Date 2025-06-26
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Citations of these data No citations of these data are known at this time.
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License http://www.usa.gov/publicdomain/label/1.0/
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Harvest Source: ScienceBase
Harvest Date: 2026-04-24T04:52:10.684Z