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Mark MacKay |
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Michigan Dept. of Natural Resources |
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Lake Huron traditionally managed independently |
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Much data collected, little integration or data
sharing. |
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Lake Huron Technical Committee Members
collaborated to design and develop a GIS for this purpose. |
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The real power in a GIS is its capacity to
perform queries and analyses. |
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Rich Attribution provides a wealth of
information |
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Decision Support. |
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Habitat Parameter Summaries (Stream
Size, Temperature, Gradient) |
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Summaries Compared with Other
Passage/ Removal Opportunities |
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Automate the Process for Basin |
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Add Quantitative habitat parameters for
streams to improve summaries |
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The real power in a GIS is its capacity to
perform queries and analyses. |
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Rich Attribution provides a wealth of
information. |
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Decision Support. |
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The real power in a GIS is its capacity to
perform queries and analyses. |
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Rich Attribution provides a wealth of
information |
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Decision Support |
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Complete bathymetry |
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Subsurficial geology |
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Help Assess Size and quality of
reefs |
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Integrate existing data |
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Develop new data layers |
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Develop decision support tools |
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Help to Coordinate future efforts by -
Ensure data compatibility |
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- Avoid duplicative efforts |
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First Year (funded by Great Lakes Fish and
Wildlife Restoration Act) |
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identify existing layers |
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assess quality |
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design common database and integrate existing
data |
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solicit funds to complete work |
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Second Year |
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fill identified habitat data gaps (e.g.
offshore, nearshore, and tributary data layers) |
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develop decision support tools |
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modify system according to user needs |
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Quality of existing data varies tremendously
(e.g. dams and streams) |
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Collaboration can be challenging: |
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sounds great in theory |
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Sharing data (proprietary, biologically
sensitive, cost recovery) |
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Providing for everyone’s needs |
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Integrating data never intended to be integrated |
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Provide information and tools needed by managers
to make informed decisions regarding management and conservation of system |
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Existing Layer Integration |
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New Layer Development |
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Development of Tools |
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Pool Data (Provincial, State, Federal, Tribal) |
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1) Biological Layers (for species of
interest) |
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Spawning Locations (historic, contemporary) |
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Stocking, Harvest, Sampling Data |
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2) Habitat Layers |
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3) Environmental Layers |
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Areas of Concern |
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Biodiversity Areas |
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Provide information and tools needed by managers
to make informed decisions regarding management and conservation of system |
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Existing Layer Integration |
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New Layer Development |
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Development of Tools |
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Pool Data (Provincial, State, Federal, Tribal) |
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Hydrography (Ontario situation, U.S. situation) |
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Offshore (surficial geology) |
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Nearshore (wetland data) |
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Dams (Ontario situation, U.S. situation) |
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Provide information and tools needed by managers
to make informed decisions regarding management and conservation of system |
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Existing Layer Integration |
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New Layer Development |
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Development of Tools |
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Pool Data (Provincial, State, Federal, Tribal) |
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1) identify impediments to fish population
recovery |
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2) evaluate and prioritize alternative
habitat restoration
scenarios |
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3) capitalize on opportunities provided by
hydroelectric companies receptive to providing fish passage |
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4) provide dynamic approach to developing
and maintaining management plans (e.g. basin,
species) |
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Provide information and tools needed by managers
to make informed decisions regarding management and conservation of system |
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Existing Layer Integration |
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New Layer Development |
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Development of Tools |
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Pool Data (Provincial, State, Federal, Tribal) |
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This DSS is being designed for a variety of
individuals with disparate and common needs |
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We need your input regarding tools, layers, and
analyses that you’d like to see incorporated |
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Please share your thoughts |
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Notes