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usgs_staff_profile:
{
  meta:
  "USGS Staff Profile": {
     status_code: 200
    "@context": "https://schema.org",
     timestamp: '2023-09-30T15:21:35.224576'
    "@type": "Person",
     url: https://www.usgs.gov/staff-profiles/maria-c-dzul
    "dateModified": "2024-09-21T07:57:37.276641",
  profile:
    "name": "Maria C Dzul, PhD",
     abstracts: []
    "identifier": [
     affiliations: []
      {
    education:
        "@type": "PropertyValue",
    - "2003 \u2013 B.S., Biology, University of Michigan"
        "propertyID": "ORCID",
    - "2011 \u2013 M.S., Wildlife Ecology, Iowa State University"
        "value": "0000-0002-4798-5930"
    - "2021 \u2013 PhD, Fish, Wildlife, and Conservation Biology, Colorado State University"
      }
     email: mdzul@usgs.gov
     ],
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    - fish ecology
     "hasOccupation": [
    - population models
      {
    - mark-recapture
        "@type": "OrganizationalRole",
    - partial migration
        "startDate": "2024-09-21T07:57:37.282543",
    - Colorado River
        "affiliatedOrganization": {
    - autonomous PIT antennas
          "@type": "Organization",
    - fish growth
          "name": "Southwest Biological Science Center",
    - humpback chub
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     honors: []
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     intro_statements:
        "roleName": "Biologist"
     - Maria develops models to estimate abundance and assess environmental drivers
      }
      of fish population dynamics in the Grand Canyon ecosystem.
    ],
     name: Maria C Dzul, PhD
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    orcid: 0000-0002-4798-5930
        "@type": "TextObject",
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        "additionalType": "short description",
     organization_name: Southwest Biological Science Center
        "abstract": "Biologist with the Southwest Biological Science Center"
    personal_statement: "Maria\u2019s research interests include: 1) evaluating links\
      },
       \ between floods, temperature, and life history of fishes, 2) developing approaches\
      {
       \ for integrating detections from autonomous PIT antennas into mark-recapture\
        "@type": "TextObject",
       \ models to improve estimation of survival, movement, and abundance, 3) using\
        "additionalType": "staff profile page introductory statement",
       \ population models to guide decision making, and 4) alternative life history\
        "abstract": "Maria develops models to estimate abundance and assess environmental drivers of fish population dynamics in the Grand Canyon ecosystem."
       \ strategies and partial migration in fishes."
      },
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      }
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  }
}

Latest revision as of 21:27, 22 September 2024

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}

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