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| Created: | Nov 03, 2025 at 7:39 p.m. (UTC) | |
| Last updated: | Jan 20, 2026 at 8:34 p.m. (UTC) | |
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Abstract
This study was on anthropogenic debris (trash) in urban streams around Cuyahoga County, Ohio. Fourteen stream reaches were visited in 2021 and 11 were re-visited in 2024. The data collected were on the physical properties of the trash and their location within the stream. Within each 50 m reach, 4-6 transects were created across the stream channel and every piece of trash within 2 m of the transect was included. Cluster analysis on the variables collected was used to create morphospecies of trash and microhabitats within the stream. Data analysis was done using those clusters and including environmental and land use data from the reaches and surrounding areas. Manuscript in prep (Stumpf et al.)
Subject Keywords
Coverage
Spatial
Temporal
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Content
README.md
Trash in Streams Data
Methods
Data were collected on trash in 14 stream reaches around Cuyahoga County, Ohio in 2021 and 11 reaches again in 2024. Data collected included information on the trash itself (e.g., material, size) and its location within in the stream (e.g., what it was touching, whether any bed material had eroded or deposited around it). Within the 50 m reach, 4-6 transects were created across the stream and every piece of trash within 2 m of the transect was included.
Workflow
The workflow for this starts with raw data on trash in streams and their locations. The data were put through a cluster analysis to create morphospecies of trash (e.g., glass items, plastic bags, plastic bottles) and microhabitats within the stream. These morphospecies and microhabitat numbers were the basis for further analysis. Abundance matrices of these habitats and species were created. Environmental, land use, and stream reach data were also included in the further analysis.
Files
01 Raw data
Field data: trash_data.csv The original datasets transcribed from field datasheets. For explanations of the variables look at definitions.csv
Stream reach, land use, and other environmental variables: env_variables For explanations of the variables look at definitions.csv
GPS locations: gps_coordinates These are GPS coordinates for the stream reaches. It was not included in the analysis.
02 Cluster analysis
Cluster analysis uses the trash_data.csv in the cluster_analysis.R file.
Libraries required: factoextra, corrplot, fpc, cluster, writexl
The results of the two clustering analyses are in cluster_results.csv. The numbering of the cluster was adjusted to be more logical and those results are in new_cluster_numbers.csv
03 Data analysis
Diversity analysis uses the new_cluster_numbers.csv in diversity_analysis to calculate Shannon's diversity indices on the reaches. If t tests and/or ANOVAs are done, use diversity_scores.
Library required: picante
NMDS analysis uses specieshabitat_abundancematrix in nmds_analysis.R Further NMDS analysis included env_variables and specieshabitat_abundancematrix.csv in nmds_with_envfit
Library required: vegan, vegan3d
PERMANOVA analysis uses specieshabitat_abundancematrix in permanova_analysis
Libraries required: vegan, pairwiseAdonis
References:
U.S. Geological Survey (USGS), 2019, Annual NLCD Collection 1 Science Products: U.S. Geological Survey data release, https://doi.org/10.5066/P94UXNTS.
Credits
Funding Agencies
This resource was created using funding from the following sources:
| Agency Name | Award Title | Award Number |
|---|---|---|
| U.S. National Science Foundation | Geomorphic effects and distribution of anthropogenic debris in urban streams | 2319007 |
How to Cite
This resource is shared under the Creative Commons Attribution CC BY.
http://creativecommons.org/licenses/by/4.0/
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