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This data release is provided in support of Arismendi, I., Dunham, J.B., Heck, M.P., Schultz, L.D., Hockman-Wert, D.P., 2017, A statistical method to predict flow permanence in dryland streams from time series of stream temperature: Water, v. 9, no. 12, p. 946, https://doi.org/10.3390/w9120946. This code release contains all of the source code from the "Hidden Markov Model" sections of the associated manuscript. The source code was written using the R programming language (www.r-project.org, version 3.3.1). Running the code requires knowlege of the R programming language. The code snippet requires the folder location containing the data, and the site being processed, to be updated. The code requires certain R packages,...
This dataset is a continuous parameter grid (CPG) of normal (average) annual precipitation data for the years 1981 through 2010 in the Pacific Northwest. Source precipitation data was produced by the PRISM Climate Group at Oregon State University.
Abstract (from ScienceDirect): The U.S. Geological Survey (USGS) has developed the PRObability of Streamflow PERmanence (PROSPER) model, a GIS raster-based empirical model that provides streamflow permanence probabilities (probabilistic predictions) of a stream channel having year-round flow for any unregulated and minimally-impaired stream channel in the Pacific Northwest region, U.S. The model provides annual predictions for 2004–2016 at a 30-m spatial resolution based on monthly or annually updated values of climatic conditions and static physiographic variables associated with the upstream basin. Predictions correspond to any pixel on the channel network consistent with the medium resolution National Hydrography...
These datasets are continuous parameter grids (CPG) of first-of-month snow water equivalent data for March through August, years 2004 through 2016, in the Pacific Northwest. Normal (average) first-of-month values for the same months, averaged across all years, are also located here. Source snow water equivalent data was produced by the Snow Data Assimilation System (SNODAS) at the National Snow and Ice Data Center.
These datasets are continuous parameter grids (CPG) of permeability (and impermeability) of surface geology in the Pacific Northwest. Source data come from work by Chris Konrad, U.S. Geological Survey (USGS), and geologic map databases produced by USGS scientists.
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This dataset includes electrical resistance data from a network of 50 data loggers that was installed throughout the Willow-Whitehorse watershed of SE Oregon in September 2014. Data loggers were downloaded in August 2015 and September 2016. These data loggers were used as “electrical resistance” (ER) sensors, following Chapin et al. 2014. The sensors were Onset HOBO Pendant temperature data loggers that were modified to monitor streamflow intermittency and determine the timing of stream drying.
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This dataset includes stream temperatures from two data loggers installed at one site in the Little Blitzen River of SE Oregon as part of a redband trout (Oncorhynchus mykiss gairdnerii) study. The site was used as an undisturbed reference in comparison with similar temperature monitoring sites in the Willow-Whitehorse watershed that experienced a 2012 fire that burned nearly the entire watershed.
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The files in the sub-folder "1. Juvenile coho salmon abundance and survival" consist of fish survey data and the associated analysis. The file "02_Fish survey data_all events_2019-11-27.csv" contains the actual fish survey data that was collected in Mason Creek, tributary of East Fork Lewis River, SW Washington, during summer of 2017. The protocol for the fish surveys are outline in the file "Fish Rescue Field Protocol_2017_FINAL VERSION_2017-06-01.pdf". The abundance and survival analysis can be found in the file "Juvenile MR abundance_Coho_02Contraints_2019-12-02.R". This file should be loaded through the .Rproj file "Fish Abundance.Rproj". There are many files needed to run the analysis that consist of summaries...
To improve understanding of streamflow permanence in the Pacific Northwest, we have developed a method for predicting the annual probability of year-round streamflow at 30-meter intervals. The approach involves collecting and processing nearly 24,000 streamflow observations into “wet” or “dry” values, and synchronizing them with 291 predictor datasets that represent physical (one-time values) and climatic (monthly or annual values) conditions associated with the upstream area for each 30-meter point along streams in the Pacific Northwest. Both of these datasets are among the first of their kind and shed light on the scientific opportunities that ‘Big Data’ techniques allow for. The predictive models developed from...
Streams are classified as perennial (flowing uninterrupted, year-round) or intermittent (flowing part of the year) or ephemeral (flowing only during rainfall events). The classifications of “streamflow permanence” were primarily established in the middle 20th century and are often outdated and inaccurate today if they were not adjusted for changes in land use, wildfires, or climate. Understanding where streams are perennial is important for a variety of reasons. For example, perennial streams receive special regulatory protections under a variety of statutes, and provide important habitat for fish, wildlife, and other species. To predict the likelihood that streams are perennial, we compiled nearly 25,000 observations...
This dataset is a continuous parameter grid (CPG) of normal (average) annual maximum air temperature data for the years 1981 through 2010 in the Pacific Northwest. Source temperature data was produced by the PRISM Climate Group at Oregon State University.
These datasets are continuous parameter grids (CPG) of topography data in the Pacific Northwest. Datasets include stream slope, basin slope, elevation, contributing area, and topographic wetness index. Source data come from the U.S. Geological Survey National Elevation Dataset.
The U.S. Geological Survey (USGS) has developed the PRObability of Streamflow PERmanence (PROSPER) model, a GIS raster-based empirical model that provides streamflow permanence probabilities (probabilistic predictions) of a stream channel having year-round flow for any unregulated and minimally-impaired stream channel in the Pacific Northwest region, U.S. The model provides annual predictions for 2004-2016 at a 30-m spatial resolution based on monthly or annually updated values of climatic conditions and static physiographic variables associated with the upstream basin. These values and variables, known as Continuous Parameter Grids, or CPGs, were used as the predictor variables in the model. The CPGs referenced...
The U.S. Geological Survey (USGS) has developed the PRObability of Streamflow PERmanence (PROSPER) model, a GIS raster-based empirical model that provides streamflow permanence probabilities (probabilistic predictions) of a stream channel having year-round flow for any unregulated and minimally-impaired stream channel in the Pacific Northwest region, U.S. The model provides annual predictions for 2004-2016 at a 30-m spatial resolution based on monthly or annually updated values of climatic conditions and static physiographic variables associated with the upstream basin. These values and variables, known as Continuous Parameter Grids, or CPGs, were used as the predictor variables in the model. The CPGs referenced...
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This folder contains data in three parts. The juvenile coho salmon abundance and survival data consists of fish survey data and the associated analysis, including documentation of the analysis code, methods, and protocols used. Habitat survey data consists of both reach-level (~100 meter sections) and continuous (watershed scale) surveys. The summaries item and its contents include summaries produced from fish and habitat surveys conducted in Mason Creek, tributary of the East Fork Lewis River, SW Washington, during summer of 2017.
Abstract (from ScienceDirect): The interannual variability of tidal marsh plant phenology is largely unknown and may have important ecological consequences. Marsh plants are critical to the biogeomorphic feedback processes that build estuarine soils, maintain marsh elevation relative to sea level, and sequester carbon. We calculated Tasseled Cap Greenness, a metric of plant biomass, using remotely sensed data available in the Landsat archive to assess how recent climate variation has affected biomass production and plant phenology across three maritime tidal marshes in the Pacific Northwest of the United States. First, we used clipped vegetation plots at one of our sites to confirm that tasseled cap greenness provided...
map background search result map search result map Stream Temperature Data in the Little Blitzen watershed of SE Oregon, 2009-15 Electrical resistance data from the Willow-Whitehorse watersheds of southeast Oregon, USA, 2014-2016 Streamflow Permanence Probability rasters, 2004-2011, Version 2.0 (PROSPER) Juvenile coho salmon stream survey data and associated analysis to estimate abundance and survival in Mason Creek, tributary of East Fork Lewis River, SW Washington, during summer of 2017 Observations and summaries of juvenile coho salmon abundance and survival, stream surveys, and habitat surveys, East Fork Lewis River, Southwest Washington, 2017 Stream Temperature Data in the Little Blitzen watershed of SE Oregon, 2009-15 Juvenile coho salmon stream survey data and associated analysis to estimate abundance and survival in Mason Creek, tributary of East Fork Lewis River, SW Washington, during summer of 2017 Observations and summaries of juvenile coho salmon abundance and survival, stream surveys, and habitat surveys, East Fork Lewis River, Southwest Washington, 2017 Electrical resistance data from the Willow-Whitehorse watersheds of southeast Oregon, USA, 2014-2016 Streamflow Permanence Probability rasters, 2004-2011, Version 2.0 (PROSPER)