Embedded Files
Background
Background
This undertaking was spurred on as a cross-organization project aimed to alleviate a major problem: inaccessibility of and biases within georeferenced databases.
Databases suffer from temporal, spatial, and taxonomic biases:
Common species may not be collected because a museum has a lot of them
iNaturalist points are congregated around cities and parks
Highly studied areas appear to have more mussels in them when really there are just more records
Fig 1. Image of Ohio depicting iNaturalist data points congregated around the three major cities of Ohio (circled).
Introduction
Introduction
This application seeks to be a user-friendly interactive experience that individuals from all walks of life can use-- from high school students to field experts. You can try the application out for yourself by selecting the second tab of this website. The tab is titled "Try it Yourself!". Below is a tutorial on how to use the application.
Fig 2. Tutorial on how to use the application. First, select either county or watershed boundaries from the drop-down menu at the top right. Then, select species by clicking on them in the species table to highlight the counties or watersheds the species is found in and populate the boundary table. Alternatively, select a boundary on the map to populate the species table. Finally, download your data as a .csv by clicking the three dots in the center of your screen.
Below are some examples of the application in use!
Below are some examples of the application in use!
Fig 3. Most current iteration of the website in use. Shows the watershed Little Miami selected by clicking on the map and the species list updates to show what records exist in that watershed. Species data can then be downloaded as a .csv by clicking the three dots in the center of the screen.
Fig 4. Shows Rainbow Mussel selected from the species table with the map and boundary table updating to show counties where Rainbow Mussel is located. Boundary data can be downloaded as a .csv by clicking the three dots in the center of the screen.
Methods
Methods
Created using ArcGIS Online (MapViewer and Dashboards)
Data Sources:
The Ohio State University Museum of Biological Diversity
Synthesis of other museum collections
Ohio Department of Natural Resources
Ohio Department of Transportation
iNaturalist
Fig 5. Flowchart of how different layers interact with the filters in Dashboards.
The Future
The Future
Additional sources and a filter to choose what data sources will be included
Filters for mussel condition and collection year
API integration to update the map automatically as sources gain new records
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