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Bruce G Marcot

Biographic Data

ID1569696
NAMEBruce G Marcot
GIVEN NAMESBruce G
FAMILY NAMEMarcot
SIGNATUREMARCOT B G
AFFILIATIONSUS Forest Service
ORCID0000-0002-3667-7481
VERIFIEDYes
TOTAL WORKS4
TOTAL CITATIONS1
WORKS AS AUTHOR4
WORKS AS EDITOR0
FIRST PUBLICATION YEAR2006
LATEST PUBLICATION YEAR2022
H-INDEX1
  • Drivers of historical and projected changes in diverse boreal ecosystems

    Open Access•M Torre Jorgenson, Dana R N Brown et al.•ARTICLE•Environmental Research Letters•2022

    Alaska has diverse boreal ecosystems across heterogeneous landscapes driven by a wide range of biological and geomorphic processes associated with disturbance and successional patterns under a changing climate. To assess historical patterns and rates of change, we quantified the areal extent of ecotypes and the biophysical factors driving change through photo-interpretation of 2200 points on a time-series (∼1949, ∼1978, ∼2007, ∼2017) of geo-recti…

  • Wildlife-Habitat Relationships

    Michael L Morrison, Bruce G Marcot et al.•BOOK•Wildlife-Habitat Relationships•2012

  • Characterizing Species at Risk II

    Open Access•Bruce G Marcot, Paul A Hohenlohe et al.•ARTICLE•Conservation Ecology•2006

    Marcot, B. G., P. A. Hohenlohe, S. Morey, R. Holmes, R. Molina, M. C. Turley, M. H. Huff, and J. A. Laurence 2006. Characterizing species at risk II: using Bayesian belief networks as decision support tools to determine species conservation categories under the Northwest Forest Plan. Ecology and Society 11(2): 12. https://doi.org/10.5751/ES-01781-110212

  • Characterizing Species at Risk I

    Open Access•Bruce G Marcot•ARTICLE•Conservation Ecology•2006•Cited by: 1

    The Northwest Forest Plan in the Pacific Northwest, United States includes directives for survey and site protection of hundreds of rare species across many taxonomic classes. To help direct survey activities, prioritize sites, and stand conditions for conservation of these species, I developed Bayesian belief network (BBN) models of habitat relationships and multiple stressors predicting presence of 12 rare species, and I present an example of p…

  • Characterizing Species at Risk I

    Open Access•Bruce G Marcot•ARTICLE•Conservation Ecology•2006•Cited by: 1

    The Northwest Forest Plan in the Pacific Northwest, United States includes directives for survey and site protection of hundreds of rare species across many taxonomic classes. To help direct survey activities, prioritize sites, and stand conditions for conservation of these species, I developed Bayesian belief network (BBN) models of habitat relationships and multiple stressors predicting presence of 12 rare species, and I present an example of p…

  • Characterizing Species at Risk II

    Open Access•Bruce G Marcot, Paul A Hohenlohe et al.•ARTICLE•Conservation Ecology•2006

    Marcot, B. G., P. A. Hohenlohe, S. Morey, R. Holmes, R. Molina, M. C. Turley, M. H. Huff, and J. A. Laurence 2006. Characterizing species at risk II: using Bayesian belief networks as decision support tools to determine species conservation categories under the Northwest Forest Plan. Ecology and Society 11(2): 12. https://doi.org/10.5751/ES-01781-110212

  • Characterizing Species at Risk I

    Open Access•Bruce G Marcot•ARTICLE•Conservation Ecology•2006•Cited by: 1

    The Northwest Forest Plan in the Pacific Northwest, United States includes directives for survey and site protection of hundreds of rare species across many taxonomic classes. To help direct survey activities, prioritize sites, and stand conditions for conservation of these species, I developed Bayesian belief network (BBN) models of habitat relationships and multiple stressors predicting presence of 12 rare species, and I present an example of p…

  • Wildlife-Habitat Relationships

    Michael L Morrison, Bruce G Marcot et al.•BOOK•Wildlife-Habitat Relationships•2012

  • Drivers of historical and projected changes in diverse boreal ecosystems

    Open Access•M Torre Jorgenson, Dana R N Brown et al.•ARTICLE•Environmental Research Letters•2022

    Alaska has diverse boreal ecosystems across heterogeneous landscapes driven by a wide range of biological and geomorphic processes associated with disturbance and successional patterns under a changing climate. To assess historical patterns and rates of change, we quantified the areal extent of ecotypes and the biophysical factors driving change through photo-interpretation of 2200 points on a time-series (∼1949, ∼1978, ∼2007, ∼2017) of geo-recti…

Biology (3 works) · Ecology (3 works) · Environmental Science (3 works) · Geography (3 works) · Bayesian Modeling and Causal Inference (2 works) · Computer Science (2 works) · Ecology and Vegetation Dynamics Studies (2 works) · Environmental resource management (2 works) · Species Distribution and Climate Change (2 works) · Animal ecology (1 work)

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