Item talk:Q46202

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ORCID:

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 '@id': https://orcid.org/0000-0002-9247-7468
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     name: Estimating occupancy probability of moose using hunter survey data
 '@type': Person
 familyName: Fuller
 givenName: Angela
 mainEntityOfPage: https://orcid.org/0000-0002-9247-7468

USGS Staff Profile:

 '@context': https://schema.org
 '@type': Person
 affiliation: []
 description:
 - '@type': TextObject
   abstract: Research Wildlife Biologist with the Cooperative Research Units
   additionalType: short description
 - '@type': TextObject
   abstract: Unit Leader - New York Cooperative Fish and Wildlife Research Unit
   additionalType: staff profile page introductory statement
 - '@type': TextObject
   abstract: Research InterestsThe single unifying theme of Angela's research program
     that transcends all projects is that they provide information that contributes
     to the conservation or management of wildlife species and that has an impact
     on the way species are managed. The first area of her research is on how spatial
     variation in the environment influences resource use, movements, and population
     ecology of mammals. This research is focused primarily on mammalian carnivores,
     which have many traits that make them especially susceptible to landscape change
     (e.g., large home ranges, relatively low population densities, and long dispersal
     distances). She frequently uses non-invasive sampling methods that do not require
     direct capture of individuals. Using these noninvasively collected samples from
     carnivores, she employs methods for population estimation that incorporate spatial
     or landscape processes to help explain the density of species across a landscape.
     The second major program area of her research is in applying structured decision
     making (SDM) and adaptive management to guide natural resource management and
     policy outcomes. SDM is a process for helping to make management or policy decisions
     in a clear and transparent way, and involves evaluating how well alternative
     management strategies do at achieving objectives that have been identified by
     the decision maker and stakeholders. This work integrates quantitative modeling
     to help predict outcomes of the management strategies that were developed to
     achieve the stated objectives. Both of her research areas involve the spatial
     ecology of species, investigating how spatial landscape patterns influence the
     distribution, density, or dynamics of animal populations.Teaching InterestsDecision
     Making for Natural ResourcesLandscape EcologyHabitat EcologyForest Landscape
     Planning
   additionalType: personal statement
 email: afuller@usgs.gov
 hasCredential:
 - '@type': EducationalOccupationalCredential
   name: Ph D University of Maine 2006
 - '@type': EducationalOccupationalCredential
   name: MS University of Maine 1999
 - '@type': EducationalOccupationalCredential
   name: BS University of Maine at Machias 1996
 hasOccupation:
 - '@type': OrganizationalRole
   affiliatedOrganization:
     '@type': Organization
     name: Cooperative Research Units
     url: https://www.usgs.gov/programs/cooperative-research-units
   roleName: Research Wildlife Biologist
   startDate: '2024-05-12T16:21:36.774320'
 - '@type': Occupation
   additionalType: self-claimed professional experience
   name: Unit Leader, New York Cooperative Fish and Wildlife Research Unit, 2014-
 - '@type': Occupation
   additionalType: self-claimed professional experience
   name: Assistant Unit Leader, New York Cooperative Fish and Wildlife Research Unit,
     2009-2014
 identifier:
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   propertyID: GeoKB
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 - '@type': PropertyValue
   propertyID: ORCID
   value: 0000-0002-9247-7468
 jobTitle: Research Wildlife Biologist
 knowsAbout:
 - '@type': Thing
   additionalType: self-claimed expertise
   name: wildlife management
 - '@type': Thing
   additionalType: self-claimed expertise
   name: statistics and modeling
 - '@type': Thing
   additionalType: self-claimed expertise
   name: ecology
 memberOf:
   '@type': OrganizationalRole
   member:
     '@type': Organization
     name: U.S. Geological Survey
   name: staff member
   startDate: '2024-05-12T16:21:36.771729'
 name: Angela Fuller, PhD
 url: https://www.usgs.gov/staff-profiles/angela-fuller