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  5. The Potential Impacts of Climate Change on River Food Webs and Salmon Productivity in Southeast Alaska

The Potential Impacts of Climate Change on River Food Webs and Salmon Productivity in Southeast Alaska

Influence of Hydrologic Heterogeneity on River Food Webs and Salmon Productivity in Southeast Alaska

Dates

Start Date
2019-10-01
End Date
2024-09-30
Release Date
2019

Summary

Salmon that spawn and rear in Southeast Alaska watersheds are critically important to the region’s economic vitality and cultural identity. An estimated 90% of rural households in Southeast Alaska use salmon. Environmental changes that compromise the ability of these streams to support salmon could have dramatic consequences for the region. In particular, there is concern that climate change could undermine the capacity of the region’s streams to support productive fisheries. As a result, regional stakeholders are interested in identifying some of the potential impacts of climate change on watersheds that support abundant salmon. These stakeholders include federal and state agencies (U.S. Fish and Wildlife Service, U.S. Forest Service, [...]

Child Items (3)

Contacts

Principal Investigator :
J. Ryan Bellmore
Co-Investigator :
Jason Fellman, Matt Dunkle, Christopher Caudill
Funding Agency :
Alaska CASC
CMS Group :
Climate Adaptation Science Centers (CASC) Program

Attached Files

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4D803E5B-9EC6-4472-951C-FD0253F5E642.jpeg thumbnail 116.84 KB image/jpeg

Project Extension

projectStatusIn Progress

Budget Extension

annualBudgets
year2019
totalFunds199619.56
parts
typeAward Type
valueInteragency Agreement
typeAward Number
valueG19PG00084
totalFunds199619.56

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Communities

  • Alaska CASC
  • National and Regional Climate Adaptation Science Centers

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Additional Information

Data Management Plan Extension

history2019-09-11 17:12:21 MDT: phase Draft DMP
model
modelVersionATP Model V3.3
descriptionAquatic Trophic Productivity Model, which is simulation based river food web model
sourcehttps://exchange.iseesystems.com/public/ryan-bellmore/atp/index.html#page1
modelInputsStream flow, water temperature, nutrient concentrations, physical habitat data (substrate size, riparian cover and shading)
calibrationDetailsNo calibration/validation. Model is being used to generate hypotheses that guiding field data collection efforts.
modelOutputsThe model predicts the biomass of periphyton, aquatic invertebrates and fishes. The outputs of hypotheses of potential ecological conditions, and are not a model generated dataset.
nameAquatic Trophic Productivity Model
newInput
metadataEML
exclusiveUseN/A
descriptionWe will collect information on: (1) the biomass of stream periphyton, aquatic invertebrates, freshwater fishes, and detritus (dead organic matter), and (2) diets from freshwater fishes, and (3) carbon and nitrogen stable isotope data from fishes and aquatic invertebrates. Data will be collected monthly from study reaches in our four study streams on the Juneau road system from April 2018 to April 2019.
repositoryScience Base
dataLifespan20-50 years. This will be the first data set of its kind in the region, and will be valuable for parameterizing ecosystem models well into the future.
qualityChecksData will receive QA/QC after entering. Summarized data will be reviewed by all project PIs. Finding from data will undergo external peer-review when published.
protocolsAll food web data will be collected via standard methods.Fish will be captured with minnow traps, and diet samples collected via gastric lavage, Aquatic invertebrates will be collected with Surber nets, and Periphyton biomass will be collected by scrubbing stream substrates (standard methods are outlined in detail in: Hauer FR, Lamberti GA. 2016. Methods in Stream Ecology, 3rd edition.
citationFor publications, please cite this way: Dunkle M, Bellmore JR, Fellman JB, Caudill C. [publication date]. Southeast Alaska River Food Web Data, [webpage title]. Retrieved [date] from [URL]. Where included, please reference the paper associated with the metadata record.
formatMicrosoft Access (ACCDB)
restrictionsNone
backupAndStorageWeekly back-ups on University Server
dataManagementResourcesOne month of the graduate students time will used for data management. Additional support will be provided by Forest Service collaborators.
volumeEstimate100 MB
dataProcessingCollected data, enter data into database, QA/QC data, data summary explorations, statistical analysis
nameAquatic Food Web Data
doiTBD
metadataEML
exclusiveUseN/A
descriptionWe will collect information on: (1) the distribution of stream substrates sizes, (2) stream shading and riparian vegetation, (3) water depth and wetted widthRiparian vegetation, depth and substrate data will be collected once at the end of the study. Wetted width will be collected monthly during food web sampling events, and at other times during high and low flow events.
repositoryScience Base
dataLifespan10-20 years.
qualityChecksData will receive QA/QC after entering. Summarized data will be reviewed by all project PIs. Finding from data will undergo external peer-review when published.
protocolsAll data will be collected via standard methods.Substrate and depth: we will measure the b-axis of 100 rocks randomly selected within each study reach, and depths will be taken at each rock locationChannel Width: 5 transects will be measured at various stream flow conditions to determine the wetted width of the channelStream shading and vegetation cover will be evaluated using a solar pathfinder tool placed
citationFor publications, please cite this way: Dunkle M, Bellmore JR, Fellman JB, Caudill C. [publication date]. Physical habitat data for Southeast Alaska river food web study, [webpage title]. Retrieved [date] from [URL]. Where included, please reference the paper associated with the metadata record.
formatMicrosoft Access (ACCDB)
restrictionsNone
backupAndStorageWeekly back-ups on University Server
dataManagementResourcesOne month of the graduate students time will used for data management. Additional support will be provided by Forest Service collaborators.
volumeEstimate10 MB
dataProcessingCollected data, enter data into database, QA/QC data, data summary explorations, statistical analysis
nameStream and Riparian Habitat Data
doiTBD
metadataEML
exclusiveUseN/A
descriptionWe will collect information on stream: 1) carbon and nutrient concentrations (N and P), 2) discharge and 3) physical characteristics (temperature, turbidity, specific conductivity and total suspended solids). This information will help determine the extent to which hydrochemical variability among the three stream types may drive resource availability and ultimately fish production in the study streams. Data will be collected monthly in our four study streams on the Juneau road system from April 2018 to April 2019. Additionally, we will collect high resolution data over the length of the project on streamwater physical properties (temperature, turbidity, specific conductivity) using multi-parameter YSI Sondes in the four study streams.
repositoryScience Base
dataLifespan10-20 years.
qualityChecksData will receive QA/QC after entering. Summarized data will be reviewed by all project PIs. Finding from data will undergo external peer-review when published.
protocolsAll streamwater data will be collected using previously published standard methods for water quality analysis. All water samples will be field-filtered through 0.7 um filters and placed in acid-washed polyethylene bottles. Samples will either be stored in the refrigerator at 4 °C until analyzed within 48 hours or frozen immediately.Stream discharge will be measured using the stage-discharge relationship following procedures outlined by the US Geologic Survey.High resolution physical data (temperature, turbidity and conductivity) collected using YSI Sondes installed in each stream will be cross-checked with monthly manual measurements during our routine sampling events.The project will use the best practices guidelines for data management in overall data quality assurance and quality control (www.dataone.org/bestpractices).
citationFor publications, please cite this way: Dunkle M, Bellmore JR, Fellman JB, Caudill C. [publication date]. Hydrologic, temperature, and nutrient data for Southeast Alaska River Food Web Data, [webpage title]. Retrieved [date] from [URL]. Where included, please reference the paper associated with the metadata record.
formatMicrosoft Access (ACCDB) and Microsoft Excel
restrictionsNone
backupAndStorageWeekly back-ups on University Server.
dataManagementResourcesOne month of the PI’s time will be used for data management of the hydrochemistry data. If necessary, additional support will be provided by Alaska Coastal Rainforest Center.
volumeEstimate20 MB
dataProcessingCollected data, enter data into database, QA/QC data, data summary explorations, statistical analysis
nameStream flow, water temperature, and nutrient concentrations
doiTBD
phaseDraft DMP
templateNameNCCWSC DMP v3

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