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This project, with funding support by the North Pacific Landscape Conservation Cooperative andpartners, will address the need to better understand the impact that climate change will have on oursalmon subsistence resources in southeast Alaska. Working with federal and state agencies, as well ascommunity-based organizations and tribal governments, this project will 1) build a network that supportslocal organizations in their efforts to collect stream temperature data, and 2) coordinate those efforts sothat the data will inform and empower management agencies, researchers, and communities to adapt tochanging conditions for fish in the freshwater stages of their lifecycles.
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Climate change is expected to alter stream temperature and flow regimes over the coming decades, and in turn influence distributions of aquatic species in those freshwater ecosystems. To better anticipate these changes, there is a need to compile both short- and long-term stream temperature data for managers to gain an understanding of baseline conditions, historic trends, and future projections. Unfortunately, many agencies lack sufficient resources to compile, conduct quality assurance and control, and make accessible stream temperature data collected through routine monitoring. Yet, pooled data from many sources, even if temporally and spatially inconsistent, can have great value both in the realm of stream temperature...
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This dataset includes georeferenced high-resolution, airborne thermal infrared (TIR) imagery, a polyline shapefile of the channel centerline, and a tabular file with longitudinal stream temperature profiles for Hat Creek, California. The two aerial TIR surveys were conducted with a helicopter by NV5 Geospatial (formerly Quantum Spatial, Inc.) and are published as two raster mosaics in GeoTiff format with a resolution of 0.5 m. The TIR mosaics and longitudinal stream temperature profiles contain corrected surface temperatures in degrees C (multiplied by 10 to create an unsigned integer pixel type). The TIR dataset encompasses a 64.6-km reach of Hat Creek that extends from 50 m upstream of the confluence with Lost...
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A “gateway” using Data Basin technology has been developed to serve the data integration, collaboration and outreach needs of the NPLCC. The gateway will continue to be a customized interface of the Data Basin platform that includes special branding, curation of spatial content, and direct links to selected sites in support of projects funded by and for the NPLCC . Conservation Biology Institute will add to the “gateway” a spatial data visualization tool to showcase priority data from the Pacific Marine and Estuarine Fish Habitat Partnership.
Categories: Data, Project; Types: Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service; Tags: 2013, AK-1, AK-1, AK-1, AK-1, All tags...
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This data release and model archive provides all data, code, and modelling results used in Topp et al. (2023) to examine the influence of deep learning architecture on generalizability when predicting stream temperature in the Delaware River Basin (DRB). Briefly, we modeled stream temperature in the DRB using two spatially and temporally aware process guided deep learning models (a recurrent graph convolution network - RGCN, and a temporal convolution graph model - Graph WaveNet). The associated manuscript explores how the architectural differences between the two models influence how they learn spatial and temporal relationships, and how those learned relationships influence a model's ability to accurately predict...
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Existing stream temperature data will be compiled from numerous federal, state, tribal, and private sources to develop an integrated regional database. Spatial statistical models for river networks will be applied to these data to develop an accurate model that predicts stream temperature for all fish-bearing streams in the US portion of the NPLCC. Differences between model outputs for historic and future climate scenarios will be used to assess spatial variation in the vulnerability of sensitive fish species across the NPLCC.
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Salmonids, a group of coldwater adapted fishes of enormous ecological and socio-economic value, historically inhabited a variety of freshwater habitats throughout the Pacific Northwest (PNW). Over the past century, however, populations have dramatically declined due to habitat loss, overharvest, and invasive species. Consequently, many populations are listed as threatened or endangered under the U.S. Endangered Species Act. Complicating these stressors is global warming and associated climate change. Overall, aquatic ecosystems across the PNW are predicted to experience increasingly earlier snowmelt in the spring, reduced late spring and summer flows, increased winter flooding, warmer and drier summers, increased...
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R6 SA (Science Applications), in cooperation with project collaborators and watershed stakeholders (watershed coordinators, Montana State University, MTDRC, EPA, conservation districts, TU) created the River Conditions Tool (RCT) to drive conservation actions via real-time stream gage data with predetermined aquatic, riverine, drought management science.This broad scale tool downscales to individual stream segments providing the ability of watershed groups to customize predetermined conservation triggers for immediate conservation action through real-time situational awareness at fine scales for all water users and in effect becomes a catalog of conservation activities for the entire broad scale project area.
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Existing stream temperature data will be compiled from numerous federal, state, tribal, and private sources to develop an integrated regional database. Spatial statistical models for river networks will be applied to these data to develop an accurate model that predicts stream temperature for all fish-bearing streams in the US portion of the NPLCC. Differences between model outputs for historic and future climate scenarios will be used to assess spatial variation in the vulnerability of sensitive fish species across the NPLCC.
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Existing stream temperature data will be compiled from numerous federal, state, tribal, and private sources to develop an integrated regional database. Spatial statistical models for river networks will be applied to these data to develop an accurate model that predicts stream temperature for all fish-bearing streams in the US portion of the NPLCC. Differences between model outputs for historic and future climate scenarios will be used to assess spatial variation in the vulnerability of sensitive fish species across the NPLCC.
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Existing stream temperature data will be compiled from numerous federal, state, tribal, and private sources to develop an integrated regional database. Spatial statistical models for river networks will be applied to these data to develop an accurate model that predicts stream temperature for all fish-bearing streams in the US portion of the NPLCC. Differences between model outputs for historic and future climate scenarios will be used to assess spatial variation in the vulnerability of sensitive fish species across the NPLCC.
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This study set out to answer the question: “What data and modeling frameworks are needed to provide scientists reliable, climate-informed, water temperature estimates for freshwater ecosystems that can assist watershed management decision making?” To accomplish this, the study gathered existing stream temperature data, identified data gaps, deployed stream temperature monitoring devices, and developed and tested a stream temperature model that could be regionalized across the Northeast domain. We partnered with another funded project team, led by Jana Stewart at WI USGS to collect data from over 10,000 locations across the climate science center domain. This collection effort aided in identifying data gaps where...


    map background search result map search result map Predicting Climate Change Impacts on River Ecosystems and Salmonids across the Pacific Northwest Bringing People, Data, and Models Together – Addressing Impacts of Climate Change on Stream Temperature NorEaST: A Tool to Understand the Responses of Fish to Changes in Stream Temperature NorWeST Salmon River Basin Developing a comprehensive interagency stream temperature database and high-resolution NorWeST climate scenarios for the NPLCC North Pacific LCC Gateway The cold-water climate shield: delineating refugia for preserving salmonid fishes through the 21st century - Publication Developing a Southeast Alaska community-based stream temperature monitoring network Final Report Developing a comprehensive interagency stream temperature database and high-resolution NorWeST climate scenarios for the NPLCC Stream temperature database & high-resolution NorWeST climate scenarios Webinar Airborne thermal infrared imagery and longitudinal stream temperature profiles, Hat Creek, California, August 2018 Examining the influence of deep learning architecture on generalizability for predicting stream temperature in the Delaware River Basin River Conditions Tool (RCT) Developing a Southeast Alaska community-based stream temperature monitoring network Examining the influence of deep learning architecture on generalizability for predicting stream temperature in the Delaware River Basin North Pacific LCC Gateway NorWeST Salmon River Basin River Conditions Tool (RCT) Predicting Climate Change Impacts on River Ecosystems and Salmonids across the Pacific Northwest The cold-water climate shield: delineating refugia for preserving salmonid fishes through the 21st century - Publication Final Report Developing a comprehensive interagency stream temperature database and high-resolution NorWeST climate scenarios for the NPLCC Stream temperature database & high-resolution NorWeST climate scenarios Webinar Developing a comprehensive interagency stream temperature database and high-resolution NorWeST climate scenarios for the NPLCC Bringing People, Data, and Models Together – Addressing Impacts of Climate Change on Stream Temperature NorEaST: A Tool to Understand the Responses of Fish to Changes in Stream Temperature