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  1. Predictions for the presence of submersed aquatic vegetation in the upper Mississippi River, USA, from years 2010-2019

Predictions for the presence of submersed aquatic vegetation in the upper Mississippi River, USA, from years 2010-2019

Dates

Publication Date
Start Date
2010-01-01
End Date
2019-09-01

Citation

Delaney, J.T., and Larson, D.M., 2023, Predictions for the presence of submersed aquatic vegetation in the upper Mississippi River, USA, from years 2010-2019: U.S. Geological Survey data release, https://doi.org/10.5066/P9QGD5NI.

Summary

The datasets are to accompany a manuscript describing the prediction of submersed aquatic vegetation presence and its potential vulnerability and recovery potential. The data and accompanying analysis scripts allow users to run the final random forests predictive model and reproduce the figures reported in the manuscript. Files from several data sources (aqa_2010_lvl3_pct_oute_joined_VEG_BARCODE.csv, eco_states_near_SAV.csv, ltrm_vegsrs_thru2019_GEOMORPHIC_METRICS_final.csv, vegetation_data.csv, and water_full.csv) were combined into a single .csv file (analysis_data_for_SAV_RandomForest.csv) used as the input for the random forest model. When intersecting points with geomorphic metrics some sites were moved slightly to ensure they [...]

Contacts

Point of Contact :
Danelle M Larson
Process Contact :
Danelle M Larson
Originator :
John T Delaney, Danelle M Larson
Metadata Contact :
Danelle M Larson
Publisher :
U.S. Geological Survey
Distributor :
U.S. Geological Survey - ScienceBase
SDC Data Owner :
Upper Midwest Environmental Sciences Center
USGS Mission Area :
Ecosystems

Attached Files

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Delaney SAV model metadata.xml
Original FGDC Metadata
View 		97.14 KB application/fgdc+xml
Analysis Codes.zip 17.54 KB application/zip
analysis_data_for_SAV_RandomForest.csv 1.25 MB text/csv
aqa_2010_lvl3_pct_oute_joined_VEG_BARCODE.csv 214.01 KB text/csv
eco_states_near_sav.csv 254.7 KB text/csv
ltrm_veg_sites_moved.csv 51.4 KB text/csv
Ltrm_vegsrs_data_thru2019_GEOMORPHIC_METRICS_final.csv 862.29 KB text/csv
SAV_RandomForest_results.csv 2.54 MB text/csv
SAV_RandomForest_results_testing_set.csv 380.22 KB text/csv
vegetation_data.csv 2.78 MB text/csv
water_full.csv 12.31 MB text/csv

Purpose

Data collection was intended to monitor the status and trends of the upper Mississippi River for hydrology, aquatic vegetation, and geomorphic conditions. The data were compiled by the originators to create a predictive model for the presence of submersed plants in the river. Prediction probabilities from the predictive model were used to characterize sites vulnerability to vegetation loss and potential for unvegetated sites to be restored. This information can be used to identify areas where vegetation may be susceptible to loss or areas where restoration efforts could improve conditions for submersed aquatic vegetation.

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Communities

  • USGS Data Release Products
  • Upper Midwest Environmental Sciences Center (UMESC)

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Additional Information

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Type Scheme Key
DOI https://www.sciencebase.gov/vocab/category/item/identifier doi:10.5066/P9QGD5NI

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