Item talk:Q54242: Difference between revisions
From geokb
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meta: | meta: | ||
url: https://www.usgs.gov/staff-profiles/brian-s-ickes | |||
timestamp: '2024-01-30T17:03:34.694244' | |||
status_code: 200 | status_code: 200 | ||
profile: | profile: | ||
name: Brian S Ickes | |||
name_qualifier: null | |||
titles: | |||
- | - Research Ecologist | ||
- | organizations: | ||
- !!python/tuple | |||
- Upper Midwest Environmental Sciences Center | |||
- https://www.usgs.gov/centers/upper-midwest-environmental-sciences-center | |||
email: bickes@usgs.gov | email: bickes@usgs.gov | ||
orcid: 0000-0001-5622-3842 | |||
intro_statements: | |||
- "Brian S. Ickes is a research ecologist, statistician, and the principal investigator\ | |||
\ for the Fisheries Component of the Long Term Resources Monitoring element\ | |||
\ (LTRM) on the Upper Mississippi River System, the nation\u2019s largest river\ | |||
\ monitoring program." | |||
expertise_terms: | expertise_terms: | ||
- Fisheries ecology | - Fisheries ecology | ||
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- Statistics | - Statistics | ||
- Freshwater ecology, limnology, and hydrology | - Freshwater ecology, limnology, and hydrology | ||
professional_experience: [] | |||
education: | |||
- 2001 M.S., Fisheries Ecology, University of Minnesota | |||
- 1991 B.S., Environmental Science, Bowling Green State University | |||
affiliations: [] | |||
honors: [] | honors: [] | ||
abstracts: [] | |||
personal_statement: 'Brian oversees the collection, quality assurance, serving, | personal_statement: 'Brian oversees the collection, quality assurance, serving, | ||
and synthesis of fisheries data on the UMRS in cooperation with 4 federal agencies | and synthesis of fisheries data on the UMRS in cooperation with 4 federal agencies | ||
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of a virtual hydrologic and geospatial data repository for the Mississippi River | of a virtual hydrologic and geospatial data repository for the Mississippi River | ||
System' | System' | ||
Revision as of 00:03, 31 January 2024
orcid:
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usgs_staff_profile:
meta: url: https://www.usgs.gov/staff-profiles/brian-s-ickes timestamp: '2024-01-30T17:03:34.694244' status_code: 200 profile: name: Brian S Ickes name_qualifier: null titles: - Research Ecologist organizations: - !!python/tuple - Upper Midwest Environmental Sciences Center - https://www.usgs.gov/centers/upper-midwest-environmental-sciences-center email: bickes@usgs.gov orcid: 0000-0001-5622-3842 intro_statements: - "Brian S. Ickes is a research ecologist, statistician, and the principal investigator\ \ for the Fisheries Component of the Long Term Resources Monitoring element\ \ (LTRM) on the Upper Mississippi River System, the nation\u2019s largest river\ \ monitoring program." expertise_terms: - Fisheries ecology - Large river monitoring design - Large river and large lake ecology - Statistics - Freshwater ecology, limnology, and hydrology professional_experience: [] education: - 2001 M.S., Fisheries Ecology, University of Minnesota - 1991 B.S., Environmental Science, Bowling Green State University affiliations: [] honors: [] abstracts: [] personal_statement: 'Brian oversees the collection, quality assurance, serving, and synthesis of fisheries data on the UMRS in cooperation with 4 federal agencies and 5 Midwestern state natural resource agencies. In addition, Brian conducts research in many areas including community, population, life history, and invasive species ecology; effects of impoundment upon migratory aquatic fauna; effects of flood control measures on ecosystem patterns and processes; and changes in flood risks associated with two centuries of river engineering.Research Interests:Freshwater community ecologyFlood risks associated with cumulative engineering practicesSurvey/monitoring designsLateral connectivityAdaptive managementSystems modelingData visualizationActive Projects:LTRM fisheries monitoringMultivariate geospatial analysis of engineering and flood response, Mississippi River System, USAProcurement of a computational and data visualization laboratoryTesting the fundamental assumption underlying the use of LTRM fish data: Does variation in LTRM CPUE data reflect variation in the abundance of fishesAssociation between fish assemblage and off-channel area type in the impounded reach of the Upper Mississippi and Illinois rivers: implications for habitat restoration at management-relevant scalesDevelopment of a virtual hydrologic and geospatial data repository for the Mississippi River System'