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)
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 user guide—Software for a generalized estimator of mortality
GenEst statistical models—A generalized estimator of mortality
Raptor interactions with wind energy: Case studies from around the world
Fatality estimator user’s guide
Evidence of absence (v2.0) software user guide
Statistical principles of post-construction fatality monitoring design
Mortality monitoring design for utility-scale solar power facilities
Wind energy development: Methods to assess bird and bat fatality rates post-construction
A framework for decision points to trigger adaptive management actions in long-term incidental take permits
Estimating wind-turbine-caused bird and bat fatality when zero carcasses are observed
Behavior of the Hawaiian Hawaiian Hoary Bat (Lasiurus cinereus semotus) at wind turbines and its distribution across the North Ko'olau Mountains, O'ahu
Mortality estimation from carcass searches using the R-package carcass: a tutorial
Non-USGS Publications**
**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
- Science
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. - Data
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.
- Multimedia
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- Publications
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
IntroductionGenEst (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 various sitAuthorsDaniel Dalthorp, Lisa Madsen, Manuela M. Huso, Paul A. Rabie, Robert Wolpert, Jared Studyvin, Juniper Simonis, Jeffrey MintzFilter Total Items: 36GenEst 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 variety of oAuthorsJuniper Simonis, Daniel Dalthorp, Manuela M. Huso, Jeffrey Mintz, Lisa Madsen, Paul A. Rabie, Jared StudyvinGenEst statistical models—A generalized estimator of mortality
IntroductionGenEst (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 various sitAuthorsDaniel Dalthorp, Lisa Madsen, Manuela M. Huso, Paul A. Rabie, Robert Wolpert, Jared Studyvin, Juniper Simonis, Jeffrey MintzRaptor 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 has much tAuthorsRichard T. Watson, Patrick S. Kolar, Miguel Ferrer, Torgeir Nygård, Naira Johnston, W. Grainger Hunt, Hanneline A. Smit-Robinson, Christopher J Farmer, Manuela M. Huso, Todd E. KatznerFatality estimator user’s guide
This publication is the User's Guide for software developed to estimate wildlife fatalities at wind-power facilities, although the software is applicable to a variety of circumstances in which the objective is to estimate the size of a superpopulation and the probability of detection of the individuals is less than one. Simple counts of carcasses do not accurately reflect fatality and do not allowAuthorsManuela M. Huso, Nicholas Som, Lew LaddEvidence of absence (v2.0) software user guide
Evidence of Absence software (EoA) is a user-friendly software application for estimating bird and bat fatalities at wind farms and for designing search protocols. The software is particularly useful in addressing whether the number of fatalities is below a given threshold and what search parameters are needed to give assurance that thresholds were not exceeded. The software also includes tools (1AuthorsDaniel Dalthorp, Manuela M. Huso, David DailStatistical principles of post-construction fatality monitoring design
No abstract available.AuthorsManuela M. Huso, Daniel Dalthorp, Fraenzi Korner-NievergeltMortality monitoring design for utility-scale solar power facilities
IntroductionSolar power represents an important and rapidly expanding component of the renewable energy portfolio of the United States (Lovich and Ennen, 2011; Hernandez and others, 2014). Understanding the impacts of renewable energy development on wildlife is a priority for the U.S. Fish and Wildlife Service (FWS) in compliance with Department of Interior Order No. 3285 (U.S. Department of the IAuthorsManuela M. Huso, Thomas Dietsch, Chris NicolaiWind energy development: Methods to assess bird and bat fatality rates post-construction
Monitoring fatalities at wind energy facilities after they have been constructed can provide valuable information regarding impacts of wind power development on wildlife. The objective of this monitoring is to estimate abundance of a super-population of carcasses that entered the area within a designated period of time. By definition, the population is not closed and carcasses can enter as they arAuthorsManuela M. Huso, Daniel Dalthorp, T. J. Miller, Dawn BrunsA framework for decision points to trigger adaptive management actions in long-term incidental take permits
Introduction The U.S. Fish and Wildlife Service (USFWS) has begun to issue incidental take permits (ITPs) to wind power companies to allow limited take of bird and bat species that are protected under the Endangered Species Act, the Bald and Golden Eagle Protection Act, or the Migratory Bird Treaty Act (Huso and others, 2015). Expected take rates are determined using scientifically based collisionAuthorsDaniel Dalthorp, Manuela M. HusoEstimating wind-turbine-caused bird and bat fatality when zero carcasses are observed
Many wind-power facilities in the United States have established effective monitoring programs to determine turbine-caused fatality rates of birds and bats, but estimating the number of fatalities of rare species poses special difficulties. The loss of even small numbers of individuals may adversely affect fragile populations, but typically, few (if any) carcasses are observed during monitoring. IAuthorsManuela M.P. Huso, Daniel Dalthorp, David Dail, Lisa MadsenBehavior of the Hawaiian Hawaiian Hoary Bat (Lasiurus cinereus semotus) at wind turbines and its distribution across the North Ko'olau Mountains, O'ahu
We studied the landscape distribution of endemic Hawaiian hoary bats (Lasiurus cinereus semotus) on the north Ko‘olau Mountains of O‘ahu, Hawai‘i, from May 2013 to May 2014, while simultaneously studying their behavior at wind turbines within the broader landscape. This research aimed to assess the risk that wind turbines pose to bats on the island and integrated a variety of methods, including acAuthorsP. M. Gorresen, Paul M. Cryan, Manuela M.P. Huso, Cris D. Hein, Michael Schirmacher, Jessica H. Johnson, Kristina Montoya-Aiona, Kevin W. Brinck, Frank BonaccorsoMortality estimation from carcass searches using the R-package carcass: a tutorial
This article is a tutorial for the R-package carcass. It starts with a short overview of common methods used to estimate mortality based on carcass searches. Then, it guides step by step through a simple example. First, the proportion of animals that fall into the search area is estimated. Second, carcass persistence time is estimated based on experimental data. Third, searcher efficiency is estimAuthorsFränzi Korner-Nievergelt, Oliver Behr, Robert Brinkmann, Matthew A. Etterson, Manuela M. P. Huso, Daniel Dalthorp, Pius Korner-Nievergelt, Tobias Roth, Ivo NiermannNon-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.2013.09.009Arnett, 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-136R1.1Kelsey, 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/fs03303Hayes, 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/10.1890/02-5068Clausnitzer, 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. 1062-1064McEvoy, 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-7Reams, 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.
- Software
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.
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