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Brian S Cade

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The National Hydrologic Assessment Tool (NATHAT) is based on a hydrologic classification of streams by Poff (1996) involving 420 gaging stations across the contiguous United States (Figure 1). The Hydrologic Index Tool (HIT) is available for batch processing of multiple USGS gauge records to compute the 171 hydroecological indices for specified periods of record. If you have daily and peak (optional) streamflow data for a period of record, you can use NATHAT to establish a hydrologic baseline (reference time period), establish environmental flow standards, and evaluate past and proposed hydrologic modifications. Six stream classes are available in NATHAT. However, a national stream classification tool is not available....
Categories: Data
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Shale gas is a key source of onshore domestic energy for the United States and production of this resource is increasing rapidly. Development and extraction of shale gas requires hydraulic fracturing, which entails horizontal drilling, perforation of steel casing and cement grout using explosive charges, and expansion of fractures using fluids under high pressure. Concern over potential environmental effects of shale gas development is growing and based on a recent review there is very little information in the scientific literature on potential environmental effects of hydraulic fracturing. We propose to conduct the first broad scale, data-based assessment of the potential effects of hydraulic fracturing on water...
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This chapter made use of examples based on extending the quantile regression analyses used in the water quality and hydrofracking (Bowen et al. 2015) and atmospheric nitrogen deposition and plant species richness (Simkin et al. 2016) working group publications. All the R code and data sets are archived on ScienceBase.
Categories: Publication; Types: Citation
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Data included in this data set are for blue vane trap captured native bees from Logan County, Colorado starting in 2012 and ending in 2014. Data collected were the number of bees captured per date, per field, and identified to genus. Net level data contains 16,229 records.
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Identifying ecologically relevant reference sites is important for evaluating ecosystem recovery, but the relevance of references that are temporally static is unclear in the context of vast landscapes with varying disturbance and environmental contexts over space and time. This question is pertinent for landscapes dominated by sagebrush (Artemisia spp.) which face a suite of threats from disturbance and development but also have lengthy recovery times. Here, we applied a dynamic reference approach to studying and projecting recovery of sagebrush on former oil and gas well pads in southwest Wyoming, USA, using over 3 decades of remote sensing data (1985-2018). We also used quantile regression to evaluate factors...
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