Watershed Pairing of Sub-Basins within Smith Canyon Watershed using a Hierarchical Clustering Approach
This data release contains data used in an upcoming associated publication currently in review. The overarching effects and benefits of land management decisions, such as through watershed restoration, are often not fully understood due to a lacking control within an experimental design. This can be addressed through the application of a paired watershed approach, allowing for comparison between treatment and control watersheds. We developed and applied a statistic-based hierarchical clustering analysis for watershed pairing within an experimental landscape consisting of numerous superficially structurally-similar sub-basins to address this concern. Our three-step research approach follows: 1) We construct a comprehensive spatial database consisting of various biophysical, structural, and modeled hydrologic data for each watershed. 2) We apply a correlation analysis to reduce the dimensionality of the spatial datasets and select specific spatial variables using a mixed quantitative and qualitative approach. 3) We complete hierarchal clustering analyses to group watersheds based on their spatial properties. This data release consists of three primary products, 1) a vector shapefile, 2) an R software script, and 3) a Google Earth Engine (GEE) script. The vector shapefile displays the selected study sub-basins present within Smith Canyon Watershed. Within the vector shapefile, we included attribute information for each of the spatial variables included in the spatial database as well as the hierarchical cluster designation for the primary and secondary clusters. The R software script was used to complete the correlation analysis and hierarchical clustering. The Google Earth Engine (GEE) script was used to produce the mean Normalized Difference Vegetation Index (NDVI) image product.
Citation Information
| Publication Year | 2021 |
|---|---|
| Title | Watershed Pairing of Sub-Basins within Smith Canyon Watershed using a Hierarchical Clustering Approach |
| DOI | 10.5066/P97TQI85 |
| Authors | Roy E Petrakis, Laura M Norman, Kurt Vaughn, Richard Pritzlaff, Caleb Weaver, Audrey Rader, H. Ronald Pulliam |
| Product Type | Data Release |
| Record Source | USGS Digital Object Identifier Catalog |
| USGS Organization | Western Geographic Science Center - Main Office |
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Hierarchical clustering for paired watershed experiments: Case study in southeastern Arizona, U.S.A.
Watershed studies are often onerous due to a lack of data available to portray baseline conditions with which to compare results of monitoring environmental effects. A paired-watershed approach is often adopted to simulate baseline conditions in an adjacent watershed that can be comparable but assumes there is a quantifiable relationship between the control and treated watersheds. Finding suitablyAuthorsRoy Petrakis, Laura M. Norman, Kurt Vaughn, Richard Pritzlaff, Caleb Weaver, Audrey J Rader, H. Ronald Pulliam - Connect