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   status_code: 200
   timestamp: '2023-09-30T16:40:08.481603'
   url: https://www.usgs.gov/staff-profiles/angela-fuller
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   abstracts: []
   affiliations: []
   education:
   - Ph D University of Maine 2006
   - MS University of Maine 1999
   - BS University of Maine at Machias 1996
   email: afuller@usgs.gov
   expertise_terms:
   - wildlife management
   - statistics and modeling
   - ecology
   honors: []
   intro_statements:
   - Unit Leader - New York Cooperative Fish and Wildlife Research Unit
   name: Angela Fuller, PhD
   name_qualifier: null
   orcid: 0000-0002-9247-7468
   organization_link: https://www.usgs.gov/programs/cooperative-research-units
   organization_name: Cooperative Research Units
   personal_statement: 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
   professional_experience:
   - Unit Leader, New York Cooperative Fish and Wildlife Research Unit, 2014-
   - Assistant Unit Leader, New York Cooperative Fish and Wildlife Research Unit,
     2009-2014
   title: Research Wildlife Biologist