A thermal profile method to identify potential ground-water discharge areas and preferred salmonid habitats for long river reaches

Vaccaro, J.J.; Måløy, Knut Jørgen

doi:10.3133/sir20065136

Cited by 27 publications

(33 citation statements)

References 50 publications

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“…Sensor technologies for measuring stream temperatures have proliferated in recent decades (Dugdale, ; Ebersole et al, ; Quilty & Moore, ; Selker et al, ; Torgersen et al, ; Vaccaro & Maloy, ) but the most popular have been inexpensive sensors that record measurements at user‐specified intervals and create time series of recordings (Angilletta & Krochmal, ; Dunham et al, ; Stamp et al, ). Inexpensive sensors democratized the collection of temperature data beginning in the early 1990s, which resulted in extensive, albeit largely uncoordinated, monitoring efforts throughout North America and Europe (Daigle et al, ; DeWeber & Wagner, ; Dunham et al, ; Hannah & Garner, ; Hilderbrand et al, ; Isaak et al, ; Isaak & Hubert, ; Jackson et al, ; Johnson & Wilby, ; Mauger et al, ; McKenna et al, ; Molinero et al, ; Moore et al, ; Trumbo et al, ; Wehrly et al, ).…”

Section: Introductionmentioning

confidence: 99%

The NorWeST Summer Stream Temperature Model and Scenarios for the Western U.S.: A Crowd‐Sourced Database and New Geospatial Tools Foster a User Community and Predict Broad Climate Warming of Rivers and Streams

Isaak

Wenger

Peterson

et al. 2017

Water Resources Research

221

347

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Thermal regimes are fundamental determinants of aquatic ecosystems, which makes description and prediction of temperatures critical during a period of rapid global change. The advent of inexpensive temperature sensors dramatically increased monitoring in recent decades, and although most monitoring is done by individuals for agency‐specific purposes, collectively these efforts constitute a massive distributed sensing array that generates an untapped wealth of data. Using the framework provided by the National Hydrography Dataset, we organized temperature records from dozens of agencies in the western U.S. to create the NorWeST database that hosts >220,000,000 temperature recordings from >22,700 stream and river sites. Spatial‐stream‐network models were fit to a subset of those data that described mean August water temperatures (AugTw) during 63,641 monitoring site‐years to develop accurate temperature models (r2 = 0.91; RMSPE = 1.10°C; MAPE = 0.72°C), assess covariate effects, and make predictions at 1 km intervals to create summer climate scenarios. AugTw averaged 14.2°C (SD = 4.0°C) during the baseline period of 1993–2011 in 343,000 km of western perennial streams but trend reconstructions also indicated warming had occurred at the rate of 0.17°C/decade (SD = 0.067°C/decade) during the 40 year period of 1976–2015. Future scenarios suggest continued warming, although variation will occur within and among river networks due to differences in local climate forcing and stream responsiveness. NorWeST scenarios and data are available online in user‐friendly digital formats and are widely used to coordinate monitoring efforts among agencies, for new research, and for conservation planning.

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Section: Introductionmentioning

confidence: 99%

The NorWeST Summer Stream Temperature Model and Scenarios for the Western U.S.: A Crowd‐Sourced Database and New Geospatial Tools Foster a User Community and Predict Broad Climate Warming of Rivers and Streams

Isaak

Wenger

Peterson

et al. 2017

Water Resources Research

221

347

View full text Add to dashboard Cite

show abstract

“…Techniques to collect accurate stream temperature data have improved significantly over the past few decades [ Webb et al ., ]; however, some limitations persist. For example, inexpensive, programmable, digital water temperature recorders have facilitated data collection at multiple locations and user‐specified time intervals [ Johnson , ], and quick‐responding instream temperature loggers have been used to collect spatially continuous stream temperature profiles over several kilometers of stream [ Vaccaro and Maloy , ]. Satellite, airborne, and ground‐based thermal infrared (TIR) imagery have also improved our ability to collect fine spatial resolution surface temperature data over large spatial extents [ Torgersen et al ., ; Handcock et al ., ; Cardenas et al ., ], but data collection and analysis expenses often limit temporal replication.…”

Section: Introductionmentioning

confidence: 99%

Quantifying stream thermal regimes at multiple scales: Combining thermal infrared imagery and stationary stream temperature data in a novel modeling framework

2015

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Accurately quantifying stream thermal regimes can be challenging because stream temperatures are often spatially and temporally heterogeneous. In this study, we present a novel modeling framework that combines stream temperature data sets that are continuous in either space or time. Specifically, we merged the fine spatial resolution of thermal infrared (TIR) imagery with hourly data from 10 stationary temperature loggers in a 100 km portion of the Big Hole River, MT, USA. This combination allowed us to estimate summer thermal conditions at a relatively fine spatial resolution (every 100 m of stream length) over a large extent of stream (100 km of stream) during the warmest part of the summer. Rigorous evaluation, including internal validation, external validation with spatially continuous instream temperature measurements collected from a Langrangian frame of reference, and sensitivity analyses, suggests the model was capable of accurately estimating longitudinal patterns in summer stream temperatures for this system (validation RMSEs < 1 C). Results revealed considerable spatial and temporal heterogeneity in summer stream temperatures and highlighted the value of assessing thermal regimes at relatively fine spatial and temporal scales. Preserving spatial and temporal variability and structure in abiotic stream data provides a critical foundation for understanding the dynamic, multiscale habitat needs of mobile stream organisms. Similarly, enhanced understanding of spatial and temporal variation in dynamic water quality attributes, including temporal sequence and spatial arrangement, can guide strategic placement of monitoring equipment that will subsequently capture variation in environmental conditions directly pertinent to research and management objectives.

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“…Moreover, when coupled with habitat data, barrier surveys provide important inputs for prioritization of restoration projects. Historically, monitoring water temperature was limited to specific sites, but advances in technology and analytical and mapping tools have allowed either surveys of entire reaches or interpolation of site measurements to larger areas (Torgersen et al 2001;Vaccaro and Maloy 2006; Figure 4). Moreover, data from the EPA on reaches that have limited water quality are reach-specific and identify areas of degraded water quality and restoration opportunities.…”

Section: Select Technologymentioning

confidence: 99%

Review of Tools for Identifying, Planning, and Implementing Habitat Restoration for Pacific Salmon and Steelhead

Roni

Anders

Beechie

et al. 2018

N American J Fish Manag

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A key challenge in watershed restoration is identifying the appropriate assessments, data, and analyses needed to identify disrupted natural processes, lost and degraded habitats, and limiting factors to ultimately identify and design successful restoration projects. This has proven particularly challenging for large restoration programs focused on recovery of threatened and endangered salmon and trout where numerous tools, models, and other assessments have been developed to assist with habitat restoration at the watershed, reach, and project scale. Unfortunately, it is often unclear which step in the restoration process these various assessment tools will actually address. To assist with identifying the appropriate assessment tool (e.g., model, data collection, analysis, and survey), we reviewed major categories of watershed restoration assessment tools to determine their goals, inputs, outputs, and their utility in helping plan, prioritize, and implement restoration actions. The major categories of assessment tools reviewed were: (1) life cycle and fish–habitat models, (2) watershed assessment methods and techniques, (3) reach assessments, (4) prioritization tools, and (5) common monitoring methods to identify, prioritize, and plan river and watershed restoration projects. We specifically indicated whether these assessment tools directly or indirectly assisted with the key steps in the restoration process that are required to develop successful restoration plans and projects. These steps involve assessing watershed conditions, identifying limiting habitats and life stages, identifying problems and restoration actions, selecting restoration techniques, prioritizing restoration actions, or designing actual restoration projects. It is important to recognize that no single assessment tool will address all the steps in the restoration process. Selecting appropriate assessment tools requires a clear understanding of the goals of the restoration program and which step in the restoration process will be addressed by a particular tool. We provide recommendations for how restoration practitioners and managers can use our review to help select the appropriate assessment tools needed for their watershed.

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A thermal profile method to identify potential ground-water discharge areas and preferred salmonid habitats for long river reaches

Abstract: Vertical coordinate information in referenced to the North American Vertical Datum of 1988 (NAVD 88). Horizontal coordinate information is referenced to the North American Datum of 1983 (NAD 83). Altitude, as used in this report, refers to distance above the vertical datum.

Cited by 27 publications

References 50 publications

The NorWeST Summer Stream Temperature Model and Scenarios for the Western U.S.: A Crowd‐Sourced Database and New Geospatial Tools Foster a User Community and Predict Broad Climate Warming of Rivers and Streams

The NorWeST Summer Stream Temperature Model and Scenarios for the Western U.S.: A Crowd‐Sourced Database and New Geospatial Tools Foster a User Community and Predict Broad Climate Warming of Rivers and Streams

Quantifying stream thermal regimes at multiple scales: Combining thermal infrared imagery and stationary stream temperature data in a novel modeling framework

Review of Tools for Identifying, Planning, and Implementing Habitat Restoration for Pacific Salmon and Steelhead

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