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Little Butte BasinScout

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The Freshwater Trust (TFT) and its partners completed a comprehensive geospatial assessment of the riparian lands within the Little Butte watershed of the Inland Rogue basin. The assessment is designed to identify the most cost-effective areas to target outreach and funding for agricultural BMPs that directly benefit water quality in Little Butte Creek. 

This story map compiles geospatial layers in the Little Butte Creek Watershed and introduces users to watershed characteristics, including modeled environmental uplift potential for sediment and nutrient runoff. Map layers may be useful when selecting sites for possible irrigation upgrades and riparian restoration. 

Watershed Context

Watershed Context

Riparian Uplift Potential

Sediment and Nutrient Uplift Potential

Combined Score Prioritization

Prioritization Distribution by Watershed

The distributions of prioritization scores in the graph below were created by taking  from each subwatershed that has more than ten agricultural fields. Each dot in the graph represents a single random sample, and its location along the x-axis shows the sum of the prioritization scores of the ten fields randomly selected in that particular sample. The vertical dash in the middle of each cluster of points shows the mean value of all 500 sampling events for each subwatershed.   ___

The distributions of prioritization scores in the graph below were created by taking 500 random samples of 10 fields from each subwatershed that has more than ten agricultural fields. Each dot in the graph represents a single random sample, and its location along the x-axis shows the sum of the prioritization scores of the ten fields randomly selected in that particular sample. The vertical dash in the middle of each cluster of points shows the mean value of all 500 sampling events for each subwatershed.   


Subwatersheds with clusters of points located further to the right side of the graph have a higher proportion of high priority taxlots (i.e., taxlots with high uplift potential) than subwatersheds with clusters located further to the left of the graph. Moreover, subwatersheds with points that are more tightly clustered have a lower variance (i.e., smaller difference between high values and low values) than those with points that are more spread out. 

Below, the same random sampling procedure was used to create a plot of riparian area unit (RAU) prioritization scores by taxlot (as opposed to the NTT runoff prioritization scores by agricultural field shown in the plot above).

Note that this plot does not include Salt Creek because there were too few RAUs analysed in this subwatershed for this analysis. 

Explore Watershed Layers Further

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