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Link to Reprint: A Model for Evaluating Stream Temperature Response to Climate Change in Wisconsin
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by
Jean Brennan
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published
Feb 12, 2015
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last modified
Feb 13, 2015 09:56 PM
USGS report on stream temperature modeling and climate change in Wisconsin
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Stream Temperature Workshop Information
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Resource Materials: Reprints
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Modeling spatially varying landscape change points in species occurrence thresholds
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by
Jean Brennan
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published
Feb 20, 2015
by T. Wagner and S. Miday, Abstract. Predicting species distributions at scales of regions to continents is often necessary, as largescale
phenomena influence the distributions of spatially structured populations. Land use and land cover
are important large-scale drivers of species distributions, and landscapes are known to create species
occurrence thresholds, where small changes in a landscape characteristic results in abrupt changes in
occurrence. The value of the landscape characteristic at which this change occurs is referred to as a change
point. We present a hierarchical Bayesian threshold model (HBTM) that allows for estimating spatially
varying parameters, including change points. Our model also allows for modeling estimated parameters in
an effort to understand large-scale drivers of variability in land use and land cover on species occurrence
thresholds. We use range-wide detection/nondetection data for the eastern brook trout (Salvelinus
fontinalis), a stream-dwelling salmonid, to illustrate our HBTM for estimating and modeling spatially
varying threshold parameters in species occurrence. We parameterized the model for investigating
thresholds in landscape predictor variables that are measured as proportions, and which are therefore
restricted to values between 0 and 1. Our HBTM estimated spatially varying thresholds in brook trout
occurrence for both the proportion agricultural and urban land uses. There was relatively little spatial
variation in change point estimates, although there was spatial variability in the overall shape of the
threshold response and associated uncertainty. In addition, regional mean stream water temperature was
correlated to the change point parameters for the proportion of urban land use, with the change point value
increasing with increasing mean stream water temperature. We present a framework for quantify
macrosystem variability in spatially varying threshold model parameters in relation to important largescale
drivers such as land use and land cover. Although the model presented is a logistic HBTM, it can
easily be extended to accommodate other statistical distributions for modeling species richness or
abundance.
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Brook Trout and Stream Temperature Workshop Information
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Resource Materials: Reprints
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NALCC Temperature Data and Modeling Meeting
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by
Jean Brennan
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published
Feb 20, 2015
Aquatic Technical Team Meeting information.
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Resource Materials: Previous Workshops
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2012 Stream Temperature Data and Modeling (Meeting I)
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NorEaST - agenda
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by
Jean Brennan
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published
Feb 12, 2015
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last modified
Feb 20, 2015 07:18 AM
Meeting Objectives:
• Provide overview of stream temperature monitoring protocols and data management
• Introduce and demonstrate the NorEaST Stream Temperature Web Portal
• Conduct User testing of the NorEaST Web Portal and gain feedback
• Demonstrate ways to automate data analysis and quality assurance of data
• Demonstrate and discuss applications of continuous stream temperature data
• Discuss leveraging NorEaST web portal with other efforts
• Discuss moving NorEaST into the future (development needs, funding mechanisms/models, other site types, expanded geography, etc.)
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Resource Materials: Previous Workshops
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NorEaST Workshop - December 2014
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NorEaST - draft agenda
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by
Jean Brennan
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published
Feb 12, 2015
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last modified
Feb 13, 2015 09:56 PM
Meeting Objectives:
• Provide overview of stream temperature monitoring protocols and data management
• Introduce and demonstrate the NorEaST Stream Temperature Web Portal
• Conduct User testing of the NorEaST Web Portal and gain feedback
• Demonstrate ways to automate data analysis and quality assurance of data
• Demonstrate and discuss applications of continuous stream temperature data
• Discuss leveraging NorEaST web portal with other efforts
• Discuss moving NorEaST into the future (development needs, funding mechanisms/models, other site types, expanded geography, etc.)
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Advance Materials
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NorEaST workshop in December 2014
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NorEaST - intro presentation
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by
Jean Brennan
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published
Feb 12, 2015
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last modified
Feb 13, 2015 09:56 PM
Intro PPT presentation (includes introduction to meeting (purpose, objectives, flow) and intro to NorEaST
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Advance Materials
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NorEaST workshop in December 2014
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NorEaST - invitation
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by
Jean Brennan
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published
Feb 12, 2015
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last modified
Feb 12, 2015 11:20 PM
NorEaST – Stream Temperature Web Portal Demonstration and User Testing. USGS Wisconsin Water Science Center, Middleton, WI, December 9th-10th, 2014.
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Resource Materials: Previous Workshops
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NorEaST Workshop - December 2014
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NorEaST - invitation
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by
Jean Brennan
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published
Feb 12, 2015
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last modified
Feb 13, 2015 09:56 PM
NorEaST – Stream Temperature Web Portal Demonstration and User Testing. USGS Wisconsin Water Science Center, Middleton, WI, December 9th-10th, 2014.
Located in
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Advance Materials
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NorEaST workshop in December 2014
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NorEast - Presentations
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by
Jean Brennan
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published
Feb 20, 2015
Go to link to download all presentations as a zip file
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NorEaST Workshop - December 2014
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Paired stream-air temperature measurements reveal fine-scale thermal heterogeneity within headwater brook trout stream networks.
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by
Jean Brennan
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published
Feb 20, 2015
Authors:
Y. Kanno,J. C. Vokoun and B. H. Letcher
Keywords:
climate change;fish conservation;groundwater;Salmonidae;stream discharge;water temperature
ABSTRACT
Previous studies of climate change impacts on stream fish distributions commonly project the potential patterns of habitat loss and fragmentation due to elevated stream temperatures at a broad spatial scale (e.g. across regions or an entire species range). However, these studies may overlook potential heterogeneity in climate change vulnerability within local stream networks. We examined fine-scale stream temperature patterns in two headwater brook trout Salvelinus fontinalis stream networks (7.7 and 4.4 km) in Connecticut, USA, by placing a combined total of 36 pairs of stream and air temperature loggers that were approximately 300 m apart from each other. Data were collected hourly from March to October 2010. The summer of 2010 was hot (the second hottest on record) and had well below average precipitation, but stream temperature was comparable with those of previous 2 years because streamflow was dominated by groundwater during base-flow conditions. Nonlinear regression models revealed stream temperature variation within local stream networks, particularly during warmest hours of the day (i.e. late afternoon to evening) during summer. Thermal variability was primarily observed between stream segments, versus within a stream segment (i.e. from confluence to confluence). Several cold tributaries were identified in which stream temperature was much less responsive to air temperature. Our findings suggested that regional models of stream temperature would not fully capture thermal variation at the local scale and may misrepresent thermal resilience of stream networks. Groundwater appeared to play a major role in creating the fine-scale spatial thermal variation, and characterizing this thermal variation is needed for assessing climate change impacts on headwater species accurately.
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Brook Trout and Stream Temperature Workshop Information
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Resource Materials: Reprints