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| | abstract: 2021. Bozimowski, A. A. et al. Hydroacoustic sonar data quantify fish |
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| restoration and monitoring.
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| expertise_terms:
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| - wetland ecosystems
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| - habitats
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| - aquatic ecosystems
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| - freshwater ecosystems
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| - ecological processes
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| - ecosystem functions
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| - water quality
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| - field methods
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| - electrofishing
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| - machine learning
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| - multivariate statistics
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| professional_experience:
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| - Ecologist, Restoration and Conservation Science Branch, USGS - Great Lakes Science
| |
| Center | 09/2019 to Present
| |
| - Fishery Research Program Associate, Great Lakes Fishery Commission | 11/2017
| |
| - 09/2019
| |
| - Great Lakes Restoration Initiative (GLRI) Wetland Technician, Central Michigan
| |
| University | 12/2011-11/2017
| |
| education:
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| - 'M.S. (Biology: Conservation) from Central Michigan University - 2017'
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| |
| Central Michigan University - 2012'
| |
| affiliations:
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| - Member, Society of Wetland Scientists
| |
| - Member, International Association for Great Lakes Research
| |
| - Member, Society for Freshwater Science
| |
| - Member, American Fisheries Society
| |
| honors: []
| |
| abstracts:
| |
| - 2021. Bozimowski, A. A. et al. Hydroacoustic sonar data quantify fish passage
| |
| in a hydrologically reconnected wetland at the Shiawassee National Wildlife
| |
| Refuge, Saginaw, MI, USA. Society of Wetland Scientists Annual Meeting. June.
| |
| Virtual Presentation.
| |
| personal_statement: Sasha has expertise using traditional methods of community
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| assessment for multiple wetland species including aquatic benthic invertebrates,
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| fish, and vegetation. She also uses advanced monitoring technologies (remote
| |
| water quality monitoring and sample collection, hydroacoustic sonar and machine
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| learning) to achieve a greater understanding of essential Great Lakes coastal
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| wetland functions over diurnal, seasonal, and annual timescales.
| |
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