Item talk:Q48572
From geokb
{
"USGS Staff Profile": { "@context": "https://schema.org", "@type": "Person", "dateModified": "2024-09-21T07:58:24.891393", "name": "Jim Peterson, PhD", "identifier": [ { "@type": "PropertyValue", "propertyID": "ORCID", "value": "0000-0002-7709-8590" } ], "jobTitle": "Research Fish Biologist", "hasOccupation": [ { "@type": "OrganizationalRole", "startDate": "2024-09-21T07:58:24.900243", "affiliatedOrganization": { "@type": "Organization", "name": "Cooperative Research Units", "url": "https://www.usgs.gov/programs/cooperative-research-units" }, "roleName": "Research Fish Biologist" }, { "@type": "Occupation", "additionalType": "self-claimed professional experience", "name": "Assistant Unit Leader, Oregon Cooperative Fish and Wildlife Research Unit, 2011-2019" }, { "@type": "Occupation", "additionalType": "self-claimed professional experience", "name": "Assistant Unit Leader, Georgia Cooperative Fish and Wildlife Research Unit, 1999-2011" } ], "description": [ { "@type": "TextObject", "additionalType": "short description", "abstract": "Research Fish Biologist with the Cooperative Research Units" }, { "@type": "TextObject", "additionalType": "staff profile page introductory statement", "abstract": "Unit Leader - Oregon Cooperative Fish and Wildlife Research Unit" }, { "@type": "TextObject", "additionalType": "personal statement", "abstract": "Jim joined the Georgia Unit as Assistant Unit Leader in 1999 and moved to the Oregon Unit in 2011, becoming Unit Leader in 2019. Jim's research focuses on multiple aspects of aquatic ecology- with an emphasis on stream fish communities. Most of his work has been in identifying and quantifying the effects of physical and biotic factors on stream fishes at multiple scales. This includes studies of population dynamics, community production, and fish-habitat/landscape relationships. Other aspects of his research include evaluating the efficiency of fish collection and population-estimation techniques and computer software development. He believes that the status of natural resources is dependent upon the ability to predict the impacts of environmental perturbations or differing management schemes. Thus, the principal goal of his research is to develop the tools and understanding necessary for effective and efficient fisheries management and conservation.Jim has an extensive background in animal population estimation and modeling, and the application of decision theoretic methods to solving complex ecological and resource management problems. A primary focus of his research is on identifying and quantifying the effects of physical and biotic factors on animal populations at multiple scales. This includes studies of population dynamics, community production, and habitat/landscape relationships. Jim develops unique analytic approaches to estimate population demographic parameters that integrate data collected at multiple spatial and temporal scales to provide unique insights into multiscale processes affecting animal populations. He then uses decision theoretic approaches to assist natural resource decision making and adaptive management. Jim teaches a graduate level classed in Data Management and R computing for Fisheries and Wildlife students, Structured Decision Making in Natural Resource Management, and Quantitative Decision Analysis for Fish and Wildlife Management.Jim received graduate degrees from the University of Illinois and University of Missouri and was a post-doctoral researcher with the USDA Forest Service, Rocky Mountain Research Station." } ], "email": "james_peterson@usgs.gov", "url": "https://www.usgs.gov/staff-profiles/jim-peterson", "affiliation": [], "hasCredential": [ { "@type": "EducationalOccupationalCredential", "name": "Ph D University of Missouri 1996" }, { "@type": "EducationalOccupationalCredential", "name": "MS University of Illinois 1989" }, { "@type": "EducationalOccupationalCredential", "name": "BS University of Illinois 1986" } ], "knowsAbout": [ { "@type": "Thing", "additionalType": "self-claimed expertise", "name": "wildlife management" }, { "@type": "Thing", "additionalType": "self-claimed expertise", "name": "machine learning" }, { "@type": "Thing", "additionalType": "self-claimed expertise", "name": "policy" }, { "@type": "Thing", "additionalType": "self-claimed expertise", "name": "disease" } ], "memberOf": { "@type": "OrganizationalRole", "name": "staff member", "member": { "@type": "Organization", "name": "U.S. Geological Survey" }, "startDate": "2024-09-21T07:58:24.891402" } }, "ORCID": { "@context": "http://schema.org", "@id": "https://orcid.org/0000-0002-7709-8590", "@reverse": { "creator": [ { "@id": "https://doi.org/10.1002/tafs.10464", "@type": "CreativeWork", "identifier": { "@type": "PropertyValue", "propertyID": "doi", "value": "10.1002/tafs.10464" }, "name": "Evaluating streamflow and temperature effects on Bull Trout migration and survival with linear spatial capture\u2013recapture models" }, { "@id": "https://doi.org/10.3133/sir20225034", "@type": "CreativeWork", "identifier": { "@type": "PropertyValue", "propertyID": "doi", "value": "10.3133/sir20225034" }, "name": "Assessment of habitat availability for juvenile Chinook salmon (Oncorhynchus tshawytscha) and steelhead (O. mykiss) in the Willamette River, Oregon" }, { "@id": "https://doi.org/10.1002/ece3.8292", "@type": "CreativeWork", "identifier": { "@type": "PropertyValue", "propertyID": "doi", "value": "10.1002/ece3.8292" }, "name": "Space\u2010for\u2010time is not necessarily a substitution when monitoring the distribution of pelagic fishes in the San Francisco Bay\u2010Delta" }, { "@id": "https://doi.org/10.1111/rec.13244", "@type": "CreativeWork", "identifier": { "@type": "PropertyValue", "propertyID": "doi", "value": "10.1111/rec.13244" }, "name": "Decision analysis for greater insights into the development and evaluation of Chinook salmon restoration strategies in California's Central Valley" }, { "@id": "https://doi.org/10.1007/s10980-020-01030-8", "@type": "CreativeWork", "identifier": { "@type": "PropertyValue", "propertyID": "doi", "value": "10.1007/s10980-020-01030-8" }, "name": "Estimation of metademographic rates and landscape connectivity for a conservation-reliant anuran" }, { "@id": "https://doi.org/10.3133/ofr20191026", "@type": "CreativeWork", "identifier": { "@type": "PropertyValue", "propertyID": "doi", "value": "10.3133/ofr20191026" }, "name": "Adaptive management of flows from R.L. 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