Improving quality and better availability of continuous stream temperature data allow natural resource managers, particularly in fisheries, to understand associations between different characteristics of stream thermal regimes and stream fishes. However, there is no convenient tool to efficiently characterize multiple metrics reflecting stream thermal regimes with the increasing amount of data from continuously recording data loggers. This article describes a software program packaged as a library in R to facilitate this process. With this freely available package, users will be able to quickly summarize metrics that describe five categories of stream thermal regimes: magnitude, variability, frequency, timing, and rate of change. The installation and usage instruction of this package, the definition of calculated thermal metrics, as well as the output format from the package are described, along with an application showing the utility for multiple metrics. We believe that this package can be widely utilized by interested stakeholders and can greatly assist future fisheries studies. Click here for an article preview.
The NorEaST web portal was developed to serve as a coordinated, multi-agency regional framework to map and store continuous stream temperature locations and data for New England, Mid Atlantic, and Great Lakes States. Stream temperature monitoring locations and metadata can be viewed for nearly 7900 monitoring locations across 22 states, contributed by 41 different organizations. The objectives of the project are to 1) Identify common data fields and structures that are state-of-the-art for maintaining water quality data. Using this information, the PIs are building a data template and framework to store incoming stream temperature data, build web services to output these standards, and format select datasets to demonstrate applications of these data, 2) Conduct user testing to engage agencies and other users/data stewards to refine the web portal for data access and management purposes, and 3) Develop and apply models for targeted applications of selected data to demonstrate the utility of large scale, consistent stream temperature data in decision making….(View video on Vimeo)
Today’s natural resource manager tending to the health of a stream in Louisiana needs to look upstream. Way upstream – like Montana. Michigan State University (MSU) scientists have invented a way to more easily manage the extensive nature of streams….(Press link)
Anglers across the nation wondering why luck at their favorite fishing spot seems to have dried up may have a surprising culprit: a mine miles away, even in a different state….(Press link)