Item talk:Q54242

usgs_staff_profile:

 meta:
   status_code: 200
   timestamp: '2023-09-30T17:17:14.957956'
   url: https://www.usgs.gov/staff-profiles/brian-s-ickes
 profile:
   abstracts: []
   affiliations: []
   education:
   - 2001 M.S., Fisheries Ecology, University of Minnesota
   - 1991 B.S., Environmental Science, Bowling Green State University
   email: bickes@usgs.gov
   expertise_terms:
   - Fisheries ecology
   - Large river monitoring design
   - Large river and large lake ecology
   - Statistics
   - Freshwater ecology, limnology, and hydrology
   honors: []
   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."
   name: Brian S Ickes
   name_qualifier: null
   orcid: 0000-0001-5622-3842
   organization_link: https://www.usgs.gov/centers/upper-midwest-environmental-sciences-center
   organization_name: Upper Midwest Environmental Sciences Center
   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'
   professional_experience: []
   title: Research Ecologist