Manuela M Huso
I am a Research Statistician Emerita with the USGS Forest and Rangeland Ecosystem Science Center in Corvallis, OR.
I have a courtesy faculty appointment in the Department of Statistics at Oregon State University (OSU). Before coming to the USGS, I spent more than 20 years as a consulting statistician at OSU.
Education and Certifications
M.S., Statistics, Oregon State University, Corvallis, OR (1988)
M.S., Theoretical Ecology, University of Oregon, Corvallis, OR (1984)
B.A., Biology, Whitman College, Walla Walla, WA (1978)
Science and Products
Wind Energy and Wildlife Team (FRESC)
FRESC's Wind Energy and Wildlife Team is lead by Manuela Huso. She and her team are involved in design and analysis of post-construction fatality monitoring studies as well as deterrent and curtailment studies at several wind-power generation facilities.
If you are unable to access or download a product, email fresc_outreach@usgs.gov a request, including the full citation, or call (541) 750-1030.
If you are unable to access or download a product, email fresc_outreach@usgs.gov a request, including the full citation, or call (541) 750-1030.
If you are unable to access or download a product, email fresc_outreach@usgs.gov a request, including the full citation, or call (541) 750-1030.
GenEst statistical models—A generalized estimator of mortality GenEst statistical models—A generalized estimator of mortality
Introduction GenEst (a generalized estimator of mortality) is a suite of statistical models and software tools for generalized mortality estimation. It was specifically designed for estimating the number of bird and bat fatalities at solar and wind power facilities, but both the software (Dalthorp and others, 2018) and the underlying statistical models are general enough to be useful in...
Authors
Daniel Dalthorp, Lisa Madsen, Manuela M. Huso, Paul A. Rabie, Robert Wolpert, Jared Studyvin, Juniper Simonis, Jeffrey Mintz
Filter Total Items: 42
Estimating population size with imperfect detection using a parametric bootstrap Estimating population size with imperfect detection using a parametric bootstrap
We develop a novel method of estimating population size from imperfectly detected counts of individuals and a separate estimate of detection probability. Observed counts are separated into classes within which detection probability is assumed constant. Within a detection class, counts are modeled as a single binomial observation X with success probability p where the goal is to estimate...
Authors
Lisa Madsen, Daniel Dalthorp, Manuela Huso, Andy Aderman
Impacts to wildlife of wind energy siting and operation in the United States Impacts to wildlife of wind energy siting and operation in the United States
Electricity from wind energy is a major contributor to the strategy to reduce greenhouse gas emissions from fossil fuel use and thus reduce the negative impacts of climate change. Wind energy, like all power sources, can have adverse impacts on wildlife. After nearly 25 years of focused research, these impacts are much better understood, although uncertainty remains. In this report, we...
Authors
Taber Allison, James E. Diffendorfer, Erin Baerwald, Julie Beston, David Drake, Amanda Hale, Cris Hein, Manuela M. Huso, Scott Loss, Jeffrey E. Lovich, Dale Strickland, Kate Williams, Virginia Winder
Wildlife mortality at wind facilities: How we know what we know how we might mislead ourselves, and how we set our future course Wildlife mortality at wind facilities: How we know what we know how we might mislead ourselves, and how we set our future course
To accurately estimate per turbine – or per megawatt – annual wildlife mortality at wind facilities, the raw counts of carcasses found must be adjusted for four major sources of imperfect detection: (1) fatalities that occur outside the monitoring period; (2) carcasses that land outside the monitored area; (3) carcasses that are removed by scavengers or deteriorate beyond recognition...
Authors
Manuela M. Huso
GenEst user guide—Software for a generalized estimator of mortality GenEst user guide—Software for a generalized estimator of mortality
GenEst (Generalized Estimator) is a software tool for estimating the total number of individuals arriving in an area during a specific time period when their detection probability is unknown but estimable. Its development was motivated by the need to accurately estimate the total number of bird and bat fatalities occurring at wind and solar energy facilities, but it is applicable in a...
Authors
Juniper Simonis, Daniel Dalthorp, Manuela M. Huso, Jeffrey Mintz, Lisa Madsen, Paul A. Rabie, Jared Studyvin
GenEst statistical models—A generalized estimator of mortality GenEst statistical models—A generalized estimator of mortality
Introduction GenEst (a generalized estimator of mortality) is a suite of statistical models and software tools for generalized mortality estimation. It was specifically designed for estimating the number of bird and bat fatalities at solar and wind power facilities, but both the software (Dalthorp and others, 2018) and the underlying statistical models are general enough to be useful in...
Authors
Daniel Dalthorp, Lisa Madsen, Manuela M. Huso, Paul A. Rabie, Robert Wolpert, Jared Studyvin, Juniper Simonis, Jeffrey Mintz
Raptor interactions with wind energy: Case studies from around the world Raptor interactions with wind energy: Case studies from around the world
The global potential for wind power generation is vast, and the number of installations is increasing rapidly. We review case studies from around the world of the effects on raptors of wind-energy development. Collision mortality, displacement, and habitat loss have the potential to cause population-level effects, especially for species that are rare or endangered. The impact on raptors...
Authors
Richard T. Watson, Patrick S. Kolar, Miguel Ferrer, Torgeir Nygard, Naira Johnston, W. Grainger Hunt, Hanneline A. Smit-Robinson, Christopher J Farmer, Manuela M. Huso, Todd E. Katzner
Non-USGS Publications**
Kibler, K.M., Skaugset, A.E., Ganio, L.M., Huso, M.M., 2013, Effect of contemporary forest harvesting practices on headwater stream temperatures- Initial response of the Hinkle Creek catchment, Pacific Northwest, USA: Forest Ecology and Management, v. 310, p. 680-691, https://doi.org/10.1016/j.foreco.2013.09.009
Arnett, E.B., Huso, M.M., Schirmacher, M.R., Hayes, J.P., 2011, Altering turbine speed reduces bat mortality at wind-energy facilities: Frontiers in Ecology and the Environment, v. 9, no. 4, p. 209-214.
Huso, M.M., 2010, An estimator of wildlife fatality from observed carcasses: Environmetrics, p. 1-19, https://doi.org/10.1002/env.1052.
Betts, M.G., Ganio, L., Huso, M.M., Som, N., Huettmann, F., Bowman, J., Wintle, B.A., 2009, Comment on ‘‘Methods to account for spatial autocorrelation in the analysis of species distributional data- a review’’: Ecography, v. 32, p. 374-378.
Boland, J.L., Hayes, J.P., Smith, W.P., Huso, M.M., 2009, Selection of day-roosts by Keen's myotis (Myotis keenii) at multiple spatial scales: Journal of Mammalogy, v. 90, no. 1, p. 222-234.
Shaw, D.C., Huso, M.M., Bruner, H., 2008, Basal area growth impacts of dwarf mistletoe on western hemlock in an old-growth forest: Canadian Journal of Forest Research, v. 38, p. 576-583.
Waldien, D.L., Hayes, J.P., Huso, M.M., 2006, Use of downed wood by Townsend's Chipmunks (Tamias Townsendii) in western Oregon: Journal of Mammalogy, v. 87, no. 3, p. 454-460, https://doi.org/10.1644/05-MAMM-A-136R1.1
Kelsey, R.G., Hennon, P.E., Huso, M.M., Karchesy, J.J., 2005, Changes in heartwood chemistry of dead yellow-cedar trees that remain standing for 80 years or more in southeast Alaska: Journal of Chemical Ecology, v. 31, no. 11, p. 2653-2669.
Krankina, O.N., Houghton, R.A., Harmon, M.E., Hogg, E.H., Butman, D., Yatskov, M., Huso, M.M., Treyfeld, R.F., Razuvaev, V.N., Spycher, G., 2005, Effects of climate, disturbance and species on forest biomass across Russia: Canadian Journal of Forest Research, v. 35, no. 9, p. 2821-2293, https://doi.org/10.1139/x05-151.
Grotta, A.T., Gartner, B.L., Radosevich, S.R., Huso, M.M., 2005, Influence of red alder competition on cambial phenology and latewood formation in Douglas-fir: International Association of Wood Anatomists Journal, v. 26, no. 3, p. 309-324.
HyperLinkHayes, J.P., Weikel, J., Huso, M.M., Erickson, J., 2003, Response of Birds to Thinning Young Douglas-fir Forests: U.S. Geological Survey Fact Sheet 033-03 p. 2, https://doi.org/10.3133/fs03303
Hayes, J.P., Weikel, J., Huso, M.M., 2003, Response of birds to thinning young Douglas-fir forests: Ecological Applications, v. 13, no. 5, p. 1222-1232, https://doi.org/10.1890/02-5068
Clausnitzer, D., Huso, M.M., Pyke, D.A., Belnap, J., Graham, T.B., Sanford, R.L., Phillips, S.L., 2003, Interactions of cattle grazing and climate change- hierarchical data analysis In Allsopp, N., Walker, N., eds., VIIth International Rangeland Conference Proceedings, 26 July-1 August 2003,: Durban, South Africa, The Congress, p. 1062-1064
McEvoy, P.B., Rudd, N.T., Cox, C.S., Huso, M.M., 2002, Disturbance, competition, and herbivory effects on ragwort Senecio jacobaea populations: Ecological Monographs, v. 63, no. 1, p. 55-75.
Smith, J.E., Molina, R., Huso, M.M., Luoma, D.L., McKay, D., Castellano, M.A., Lebel, T., Valachovic, Y., 2002, Species richness, abundance and composition of hypogeous and epigeous ectomycorrhizal fungal sporocarps in young, rotation-age and old-growth stands of Douglas-fir (Psedotsuga menziesii) in the Cascade Range of Oregon: Canadian Journal of Botany, v. 80, p. 186-204, https://doi.org/10.1139/B02-003.
Smith, J.E., Molina, R., Huso, M.M., Larsen, M.J., 2000, Occurrence of Piloderma fallax in young, rotation-age, and old-growth stands of Douglas-fir (Pseudotsuga menziesii) in the Cascade Range of Oregon, U.S.A.: Canadian Journal of Botany, v. 78, p. 995-1001, https://doi.org/10.1139/b00-085.
Csuti, B., Polansky, S., Williams, P.H., Pressey, R.L., Camm, J.D., Kershaw, M., Kiester, A.R., Downs, B., Hamilton, R., Huso, M.M., Sahr, K., 1997, A comparison of reserve selection algorithms using data on terrestrial vertebrates in Oregon: Biological Conservation, v. 80, p. 83-97.
Csuti, B., Kimerling, A.J., O'Neil, T.A., Shaughnessy, M.M., Gaines, E.P., Huso, M.M., 1997, Atlas of Oregon Wildlife- distribution, habitat, and natural history: Corvallis, OR, Oregon State University Press, p. 498.
Arthur, J.L., Hachey, M., Sahr, K., Huso, M.M., Kiester, A.R., 1997, Finding all optimal solutions to the reserve site selection problem- formulation and computational analysis: Environmental and Ecological Statistics, v. 4, no. 2, p. 153-165, https://doi.org/10.1023/A:1018570311399.
Reams, G.A., Huso, M.M., Vong, R.J., McCollum, J.M., 1997, Kriging direct and indirect estimates of sulfate deposition- a comparison: USDA Forest Service, Southern Research Station Research Paper SRS-7, p. 8, https://doi.org/10.2737/SRS-RP-7
Reams, G.A., Huso, M.M., 1990, Stand history - an alternative explanation of red spruce radial growth reduction: Canadian Journal of Forest Research, v. 20, p. 250-253.
McEvoy, P.B., Rudd, N.T., Cox, C.S., Huso, M.M., 1993, Disturbance, competition, and herbivory effects on ragwort Senecio jacobaea populations: Ecological Monographs, v. 63, no. 1, p. 55-75.
**Disclaimer: The views expressed in Non-USGS publications are those of the author and do not represent the views of the USGS, Department of the Interior, or the U.S. Government.
If you are unable to access or download a product, email fresc_outreach@usgs.gov a request, including the full citation, or call (541) 750-1030.
To request an interview, contact fresc_outreach@usgs.gov or call (541) 750-1030.
Science and Products
Wind Energy and Wildlife Team (FRESC)
FRESC's Wind Energy and Wildlife Team is lead by Manuela Huso. She and her team are involved in design and analysis of post-construction fatality monitoring studies as well as deterrent and curtailment studies at several wind-power generation facilities.
If you are unable to access or download a product, email fresc_outreach@usgs.gov a request, including the full citation, or call (541) 750-1030.
If you are unable to access or download a product, email fresc_outreach@usgs.gov a request, including the full citation, or call (541) 750-1030.
If you are unable to access or download a product, email fresc_outreach@usgs.gov a request, including the full citation, or call (541) 750-1030.
GenEst statistical models—A generalized estimator of mortality GenEst statistical models—A generalized estimator of mortality
Introduction GenEst (a generalized estimator of mortality) is a suite of statistical models and software tools for generalized mortality estimation. It was specifically designed for estimating the number of bird and bat fatalities at solar and wind power facilities, but both the software (Dalthorp and others, 2018) and the underlying statistical models are general enough to be useful in...
Authors
Daniel Dalthorp, Lisa Madsen, Manuela M. Huso, Paul A. Rabie, Robert Wolpert, Jared Studyvin, Juniper Simonis, Jeffrey Mintz
Filter Total Items: 42
Estimating population size with imperfect detection using a parametric bootstrap Estimating population size with imperfect detection using a parametric bootstrap
We develop a novel method of estimating population size from imperfectly detected counts of individuals and a separate estimate of detection probability. Observed counts are separated into classes within which detection probability is assumed constant. Within a detection class, counts are modeled as a single binomial observation X with success probability p where the goal is to estimate...
Authors
Lisa Madsen, Daniel Dalthorp, Manuela Huso, Andy Aderman
Impacts to wildlife of wind energy siting and operation in the United States Impacts to wildlife of wind energy siting and operation in the United States
Electricity from wind energy is a major contributor to the strategy to reduce greenhouse gas emissions from fossil fuel use and thus reduce the negative impacts of climate change. Wind energy, like all power sources, can have adverse impacts on wildlife. After nearly 25 years of focused research, these impacts are much better understood, although uncertainty remains. In this report, we...
Authors
Taber Allison, James E. Diffendorfer, Erin Baerwald, Julie Beston, David Drake, Amanda Hale, Cris Hein, Manuela M. Huso, Scott Loss, Jeffrey E. Lovich, Dale Strickland, Kate Williams, Virginia Winder
Wildlife mortality at wind facilities: How we know what we know how we might mislead ourselves, and how we set our future course Wildlife mortality at wind facilities: How we know what we know how we might mislead ourselves, and how we set our future course
To accurately estimate per turbine – or per megawatt – annual wildlife mortality at wind facilities, the raw counts of carcasses found must be adjusted for four major sources of imperfect detection: (1) fatalities that occur outside the monitoring period; (2) carcasses that land outside the monitored area; (3) carcasses that are removed by scavengers or deteriorate beyond recognition...
Authors
Manuela M. Huso
GenEst user guide—Software for a generalized estimator of mortality GenEst user guide—Software for a generalized estimator of mortality
GenEst (Generalized Estimator) is a software tool for estimating the total number of individuals arriving in an area during a specific time period when their detection probability is unknown but estimable. Its development was motivated by the need to accurately estimate the total number of bird and bat fatalities occurring at wind and solar energy facilities, but it is applicable in a...
Authors
Juniper Simonis, Daniel Dalthorp, Manuela M. Huso, Jeffrey Mintz, Lisa Madsen, Paul A. Rabie, Jared Studyvin
GenEst statistical models—A generalized estimator of mortality GenEst statistical models—A generalized estimator of mortality
Introduction GenEst (a generalized estimator of mortality) is a suite of statistical models and software tools for generalized mortality estimation. It was specifically designed for estimating the number of bird and bat fatalities at solar and wind power facilities, but both the software (Dalthorp and others, 2018) and the underlying statistical models are general enough to be useful in...
Authors
Daniel Dalthorp, Lisa Madsen, Manuela M. Huso, Paul A. Rabie, Robert Wolpert, Jared Studyvin, Juniper Simonis, Jeffrey Mintz
Raptor interactions with wind energy: Case studies from around the world Raptor interactions with wind energy: Case studies from around the world
The global potential for wind power generation is vast, and the number of installations is increasing rapidly. We review case studies from around the world of the effects on raptors of wind-energy development. Collision mortality, displacement, and habitat loss have the potential to cause population-level effects, especially for species that are rare or endangered. The impact on raptors...
Authors
Richard T. Watson, Patrick S. Kolar, Miguel Ferrer, Torgeir Nygard, Naira Johnston, W. Grainger Hunt, Hanneline A. Smit-Robinson, Christopher J Farmer, Manuela M. Huso, Todd E. Katzner
Non-USGS Publications**
Kibler, K.M., Skaugset, A.E., Ganio, L.M., Huso, M.M., 2013, Effect of contemporary forest harvesting practices on headwater stream temperatures- Initial response of the Hinkle Creek catchment, Pacific Northwest, USA: Forest Ecology and Management, v. 310, p. 680-691, https://doi.org/10.1016/j.foreco.2013.09.009
Arnett, E.B., Huso, M.M., Schirmacher, M.R., Hayes, J.P., 2011, Altering turbine speed reduces bat mortality at wind-energy facilities: Frontiers in Ecology and the Environment, v. 9, no. 4, p. 209-214.
Huso, M.M., 2010, An estimator of wildlife fatality from observed carcasses: Environmetrics, p. 1-19, https://doi.org/10.1002/env.1052.
Betts, M.G., Ganio, L., Huso, M.M., Som, N., Huettmann, F., Bowman, J., Wintle, B.A., 2009, Comment on ‘‘Methods to account for spatial autocorrelation in the analysis of species distributional data- a review’’: Ecography, v. 32, p. 374-378.
Boland, J.L., Hayes, J.P., Smith, W.P., Huso, M.M., 2009, Selection of day-roosts by Keen's myotis (Myotis keenii) at multiple spatial scales: Journal of Mammalogy, v. 90, no. 1, p. 222-234.
Shaw, D.C., Huso, M.M., Bruner, H., 2008, Basal area growth impacts of dwarf mistletoe on western hemlock in an old-growth forest: Canadian Journal of Forest Research, v. 38, p. 576-583.
Waldien, D.L., Hayes, J.P., Huso, M.M., 2006, Use of downed wood by Townsend's Chipmunks (Tamias Townsendii) in western Oregon: Journal of Mammalogy, v. 87, no. 3, p. 454-460, https://doi.org/10.1644/05-MAMM-A-136R1.1
Kelsey, R.G., Hennon, P.E., Huso, M.M., Karchesy, J.J., 2005, Changes in heartwood chemistry of dead yellow-cedar trees that remain standing for 80 years or more in southeast Alaska: Journal of Chemical Ecology, v. 31, no. 11, p. 2653-2669.
Krankina, O.N., Houghton, R.A., Harmon, M.E., Hogg, E.H., Butman, D., Yatskov, M., Huso, M.M., Treyfeld, R.F., Razuvaev, V.N., Spycher, G., 2005, Effects of climate, disturbance and species on forest biomass across Russia: Canadian Journal of Forest Research, v. 35, no. 9, p. 2821-2293, https://doi.org/10.1139/x05-151.
Grotta, A.T., Gartner, B.L., Radosevich, S.R., Huso, M.M., 2005, Influence of red alder competition on cambial phenology and latewood formation in Douglas-fir: International Association of Wood Anatomists Journal, v. 26, no. 3, p. 309-324.
HyperLinkHayes, J.P., Weikel, J., Huso, M.M., Erickson, J., 2003, Response of Birds to Thinning Young Douglas-fir Forests: U.S. Geological Survey Fact Sheet 033-03 p. 2, https://doi.org/10.3133/fs03303
Hayes, J.P., Weikel, J., Huso, M.M., 2003, Response of birds to thinning young Douglas-fir forests: Ecological Applications, v. 13, no. 5, p. 1222-1232, https://doi.org/10.1890/02-5068
Clausnitzer, D., Huso, M.M., Pyke, D.A., Belnap, J., Graham, T.B., Sanford, R.L., Phillips, S.L., 2003, Interactions of cattle grazing and climate change- hierarchical data analysis In Allsopp, N., Walker, N., eds., VIIth International Rangeland Conference Proceedings, 26 July-1 August 2003,: Durban, South Africa, The Congress, p. 1062-1064
McEvoy, P.B., Rudd, N.T., Cox, C.S., Huso, M.M., 2002, Disturbance, competition, and herbivory effects on ragwort Senecio jacobaea populations: Ecological Monographs, v. 63, no. 1, p. 55-75.
Smith, J.E., Molina, R., Huso, M.M., Luoma, D.L., McKay, D., Castellano, M.A., Lebel, T., Valachovic, Y., 2002, Species richness, abundance and composition of hypogeous and epigeous ectomycorrhizal fungal sporocarps in young, rotation-age and old-growth stands of Douglas-fir (Psedotsuga menziesii) in the Cascade Range of Oregon: Canadian Journal of Botany, v. 80, p. 186-204, https://doi.org/10.1139/B02-003.
Smith, J.E., Molina, R., Huso, M.M., Larsen, M.J., 2000, Occurrence of Piloderma fallax in young, rotation-age, and old-growth stands of Douglas-fir (Pseudotsuga menziesii) in the Cascade Range of Oregon, U.S.A.: Canadian Journal of Botany, v. 78, p. 995-1001, https://doi.org/10.1139/b00-085.
Csuti, B., Polansky, S., Williams, P.H., Pressey, R.L., Camm, J.D., Kershaw, M., Kiester, A.R., Downs, B., Hamilton, R., Huso, M.M., Sahr, K., 1997, A comparison of reserve selection algorithms using data on terrestrial vertebrates in Oregon: Biological Conservation, v. 80, p. 83-97.
Csuti, B., Kimerling, A.J., O'Neil, T.A., Shaughnessy, M.M., Gaines, E.P., Huso, M.M., 1997, Atlas of Oregon Wildlife- distribution, habitat, and natural history: Corvallis, OR, Oregon State University Press, p. 498.
Arthur, J.L., Hachey, M., Sahr, K., Huso, M.M., Kiester, A.R., 1997, Finding all optimal solutions to the reserve site selection problem- formulation and computational analysis: Environmental and Ecological Statistics, v. 4, no. 2, p. 153-165, https://doi.org/10.1023/A:1018570311399.
Reams, G.A., Huso, M.M., Vong, R.J., McCollum, J.M., 1997, Kriging direct and indirect estimates of sulfate deposition- a comparison: USDA Forest Service, Southern Research Station Research Paper SRS-7, p. 8, https://doi.org/10.2737/SRS-RP-7
Reams, G.A., Huso, M.M., 1990, Stand history - an alternative explanation of red spruce radial growth reduction: Canadian Journal of Forest Research, v. 20, p. 250-253.
McEvoy, P.B., Rudd, N.T., Cox, C.S., Huso, M.M., 1993, Disturbance, competition, and herbivory effects on ragwort Senecio jacobaea populations: Ecological Monographs, v. 63, no. 1, p. 55-75.
**Disclaimer: The views expressed in Non-USGS publications are those of the author and do not represent the views of the USGS, Department of the Interior, or the U.S. Government.
If you are unable to access or download a product, email fresc_outreach@usgs.gov a request, including the full citation, or call (541) 750-1030.
To request an interview, contact fresc_outreach@usgs.gov or call (541) 750-1030.