Research Ecologist
Email:
dmlarson@usgs.gov
Office Phone:
608-783-6350
Fax:
608-783-6066
ORCID:
0000-0001-6349-6267
Location
2630 Fanta Reed Road
La Crosse
, WI
54603
US
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A geodatabase was developed to compile mapped abundance raster datasets for 25 species/species groups (e.g., all duckweeds combined) for pools 4, 8, and 13 on the Upper Mississippi River system from 1998-2019. Individual rasters within the geodatabase have scores ranging from 0 (species modeled to be absent at that raster cell) to 100 (highest possible mapped abundance probability at that raster cell). Relative abundance, for submersed species and filamentous algae, represents the sum of rake scores across the six subsites divided by the maximum possible rake score (30) at each site, multiplied by 100 (0-100%). Percent cover, for emersed, rooted floating-leaved and free-floating lifeforms, represents the maximum...
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Isoëtes are iconic but understudied wetland plants, despite having suffered severe losses globally mainly because of alterations in their habitats. We therefore provide the first global, comprehensive data set of aquatic Isoëtes and their habitats. We compiled a global database that includes all known environmental data collected from 1935 to 2023 regarding aquatic Isoëtes. This resulted in 2,179 records. The environmental data taken at Isoëtes' sampling stations varied but may include measures of water quality, water depth, and substrate composition.
Categories: Data;
Tags: Aquatic Biology,
Ecology,
Isoëtes,
Isoëtes echinospora,
Isoëtes lacustris, All tags...
Isoëtids,
USGS Science Data Catalog (SDC),
biota,
freshwater ecology,
quillworts,
submerged macrophyte conservation, Fewer tags
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The dataset accompanies the scientific article, "Reconstructing missing data by comparing interpolation techniques: applications for long-term water quality data." Missingness is typical in large datasets, but intercomparisons of interpolation methods can alleviate data gaps and common problems associated with missing data. We compared seven popular interpolation methods for predicting missing values in a long-term water quality data set from the upper Mississippi River, USA.
Categories: Data;
Tags: Information Sciences,
Mississippi River,
North America,
USGS Science Data Catalog (SDC),
Upper Mississippi River, All tags...
Water Resources,
biota,
interpolation,
missingness,
water quality, Fewer tags
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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...
Categories: Data;
Tags: Aquatic Biology,
Ecology,
Mississippi River,
Pool 13,
Pool 4, All tags...
Pool 8,
USGS Science Data Catalog (SDC),
Water Resources,
biota,
ecosystem state,
machine learning,
macrophyte,
predictive model,
random forest,
resilience,
submergent plant,
submersed plant,
upper Mississippi River,
vulnerability, Fewer tags
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A geodatabase was developed to compile Curve Fit (Version 10.1; De Jager and Fox, 2013) regression tool adjusted R-squared outputs for wild celery (Vallisneria americana), wild rice (Zizania aquatica) and arrowhead (one raster for the sum of Sagittaria rigida and Sagittaria latifolia) for pools 4, 8, and 13 on the Upper Mississippi River system from 1998-2019 using mapped abundance raster datasets. Relative abundance, for submersed species and filamentous algae, represents the sum of rake scores across the six subsites divided by the maximum possible rake score (30) at each site, multiplied by 100 (0-100%). Percent cover, for emersed, rooted floating-leaved and free-floating lifeforms, represents the maximum % cover...
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