Jeffrey A Hostetler, PhD
Jeff Hostetler is a Research Biologist at USGS Eastern Ecological Science Center (Patuxent Research Refuge)
Jeff Hostetler is a quantitative population ecologist who focuses on analysis of Breeding Bird Survey data, conservation ecology, and animal migration. He has worked for federal and state agencies and within academia.
Professional Experience
US Geological Survey, Laurel, MD: Research Biologist, March 2023–present
US Fish and Wildlife Service, Laurel, MD: Ecologist, June 2020–March 2023
Florida Fish and Wildlife Conservation Commission, St. Petersburg, FL: Research Scientist, February 2015–May 2020
Smithsonian Institution, Washington, DC: Research Associate, February 2015–December 2020; Postdoctoral Fellow, January 2011–February 2015
University of Florida, Gainesville, FL: Contractor, October 2012–January 2013; Biological Scientist, November 2004–August 2006
USGS Patuxent Wildlife Research Center, Laurel, MD: Computer Specialist, March 1998–March 2000; Volunteer, September 1996–March 1998
Education and Certifications
University of Florida: Ph.D. in Wildlife Ecology and Conservation. Advisor Madan Oli. 2010
North Carolina State University: M.S. in Zoology. Biomathematics and Statistics minors. Advisors Ken Pollock and Jaime Collazo. 2004.
Oberlin College: B.A. in Biology. Computer Science and Environmental Studies minors. Advisor David Miller. 1996.
Honors and Awards
Winner of 2020 TWS Wildlife Publication Award in the monograph category, June 7, 2020 (for van de Kerk et al. 2019).
Highly Commended Paper for 2013 Journal of Animal Ecology Elton Prize, British Ecological Society, February 4, 2014 (for Hostetler et al. 2013).
Outstanding Graduate Student of the Year (2010), Department of Wildlife Ecology and Conservation, University of Florida, April 20, 2011.
Nominated by department for Award of Excellence for Graduate Research, Department of Wildlife Ecology and Conservation, University of Florida, January 13, 2011
Scientific Achievement Award, USGS Patuxent Wildlife Research Center, March 2, 2000.
Star Award, USGS, August 31, 1998.
Science and Products
The North American Breeding Bird Survey, Analysis Results 1966 - 2022
This data product consists of a database of population change and abundance estimates for North American birds, estimated from North American Breeding Bird Survey (BBS) data. Data are presented for 548 species of birds in 4 spreadsheets containing trend estimates and annual indices for 2 time periods. Estimates are derived for each species using the 1 of 4 alternative models, and a cross-validatio
Data for "Population Dynamics and Harvest Management of Eastern Mallards"
Data and R Code for manuscript titled "Population Dynamics and Harvest Management of Eastern Mallards"
Filter Total Items: 15
Informative priors can account for location uncertainty in stop-level analyses of the North American Breeding Bird Survey (BBS), allowing fine-scale ecological analyses
Ecological inferences are often based on the locations at which species are present, but many species records have substantial uncertainty in spatial metadata, limiting their utility for fine-scale analyses. This is especially prevalent in historical records such as museum specimens, and in some citizen-science data. For example, the North American Breeding Bird Survey (BBS) has 55+ years of bird
Authors
Ryan C. Burner, Alan Kirschbaum, Jeffrey A. Hostetler, David Ziolkowski, Nicholas M. Anich, Daniel Turek, Eli D. Striegel, Neal D. Niemuth
Population dynamics and harvest management of eastern mallards
Managing sustainable harvest of wildlife populations requires regular collection of demographic data and robust estimates of demographic parameters. Estimates can then be used to develop a harvest strategy to guide decision-making. Mallards (Anas platyrhynchos) are an important species in the Atlantic Flyway for many users and they exhibited exponential growth in the eastern United States between
Authors
Anthony J. Roberts, Jeffrey A. Hostetler, Joshua C. Stiller, Patrick K. Devers, William Link
2021–2022 Statewide Abundance Estimates for the Florida Manatee
Knowing the population size of Florida manatees (Trichechus manatus latirostris) is critical for conservation and management of this threatened species. Martin et al. (2015) and Hostetler et al. (2018) applied statistical models that incorporated multiple data sources to estimate the statewide abundance of manatees from aerial surveys f lown in 2011–2012 and 2015–2016. We conducted additional aeri
Authors
Timothy A. Gowan, Holly H. Edwards, Andrea M. Krzystan, Julien Martin, Jeffrey A. Hostetler
Monitoring abundance of aggregated animals (Florida manatees) using an unmanned aerial system (UAS)
Imperfect detection is an important problem when counting wildlife, but new technologies such as unmanned aerial systems (UAS) can help overcome this obstacle. We used data collected by a UAS and a Bayesian closed capture-mark-recapture model to estimate abundance and distribution while accounting for imperfect detection of aggregated Florida manatees (Trichechus manatus latirostris) at thermal re
Authors
Holly H Edwards, Jeffrey A. Hostetler, Bradley M Stith, Julien Martin
A hidden Markov model for estimating age-specific survival when age and size are uncertain
Estimates of age-specific survival probabilities are needed for age-structured population models and to inform conservation decisions. However, determining the age of individuals in wildlife populations is often problematic. We present a hidden Markov model for estimating age-specific survival from capture–recapture or capture–recapture–recovery data when age is unknown and indicators of age, such
Authors
Timothy A. Gowan, Michael D. Tringali, Jeffrey A. Hostetler, Julien Martin, Leslie I. Ward-Geiger, Jennifer M Johnson
Reconstructing population dynamics of a threatened marine mammal using multiple data sets
Models of marine mammal population dynamics have been used extensively to predict abundance. A less common application of these models is to reconstruct historical population dynamics, filling in gaps in observation data by integrating information from multiple sources. We developed an integrated population model for the Florida manatee (Trichechus manatus latirostris) to reconstruct its populatio
Authors
J. Hostetler, Julien Martin, M. Kosempa, H. Edwards, K. Rood, S. Barton, Michael C. Runge
Updated statewide abundance estimates for the Florida manatee
Knowing how many manatees live in Florida is critical for conservation and management of this threatened species. Martin et al. (2015) flew aerial surveys in 2011–2012 and estimated abundance in those years using advanced techniques that incorporated multiple data sources. We flew additional aerial surveys in 2015–2016 to count manatees and again applied advanced statistical techniques to estimate
Authors
Jeffrey A. Hostetler, Holly H. Edwards, Julien Martin, Paul Schueller
Status and threats analysis for the Florida manatee (Trichechus manatus latirostris), 2016
Trichechus manatus (West Indian manatee), especially T. m. latirostris, the Florida subspecies, has been the focus of conservation efforts and extensive research since its listing under the Endangered Species Act of 1973. To determine the status of, and severity of threats to, the Florida manatee, a comprehensive revision and update of the manatee Core Biological Model was completed and used to pe
Authors
Michael C. Runge, Carol A. Sanders-Reed, Catherine A. Langtimm, Jeffrey A. Hostetler, Julien Martin, Charles J. Deutsch, Leslie I. Ward-Geiger, Gary L. Mahon
Status and threats analysis for the Florida manatee (Trichechus manatus latirostris), 2012
The endangered West Indian manatee (Trichechus manatus), especially the Florida subspecies (T. m. latirostris), has been the focus of conservation efforts and extensive research since its listing under the Endangered Species Act. On the basis of the best information available as of December 2012, the threats facing the Florida manatee were determined to be less severe than previously thought, eith
Authors
Michael C. Runge, Catherine A. Langtimm, Julien Martin, Christopher J. Fonnesbeck
Estimating migratory connectivity of birds when re-encounter probabilities are heterogeneous
Understanding the biology and conducting effective conservation of migratory species requires an understanding of migratory connectivity – the geographic linkages of populations between stages of the annual cycle. Unfortunately, for most species, we are lacking such information. The North American Bird Banding Laboratory (BBL) houses an extensive database of marking, recaptures and recoveries, and
Authors
Emily B. Cohen, Jeffrey A. Hostelter, J. Andrew Royle, Peter P. Marra
Effects of harvest and climate on population dynamics of northern bobwhites in south Florida
Context: Hunting-related (hereafter harvest) mortality is assumed to be compensatory in many exploited species. However, when harvest mortality is additive, hunting can lead to population declines, especially on public land where hunting pressure can be intense. Recent studies indicate that excessive hunting may have contributed to the decline of a northern bobwhite (Colinus virginianus) populatio
Authors
V. Rolland, J.A. Hostetler, T.C. Hines, Fred A. Johnson, H. Franklin Percival, M.K. Oli
Factors influencing reproductive performance of northern bobwhite in South Florida
Reproductive success is a critical component of individual fitness, and also an important determinant of growth rates of populations characterized by early maturity and high fecundity. We used radiotelemetry data collected during 2003–2008 to estimate reproductive parameters in a declining northern bobwhite (Colinus virginianus) population in South Florida, and to test hypotheses regarding factors
Authors
V. Rolland, J.A. Hostetler, T.C. Hines, H. Franklin Percival, M.K. Oli
Non-USGS Publications**
Roberts A., A. L. Scarpignato, A. Huysman, J. A. Hostetler, and E. B. Cohen. 2023. Migratory connectivity of North American waterfowl across administrative flyways. Ecological Applications 33: e2788. http://doi.org/10.1002/eap.2788
Bassett, B. L., J. A. Hostetler, E. Leone, C. P. Shea, B. D. Barbeau, G. L. Lonati, A. L. Panike, A. Honaker, L. I. Ward-Geiger. 2020. Quantifying sublethal Florida manatee–watercraft interactions by examining scars on manatee carcasses. Endangered Species Research 43: 395–408. http://doi.org/10.3354/esr01075
Hardy, S. K., C. J. Deutsch, T. A. Cross, M. de Wit, and J. A. Hostetler. 2019. Cold-related Florida manatee mortality in relation to air and water temperatures. PLOS ONE 14: e0225048. http://doi.org/10.1371/journal.pone.0225048
Lonati, G. L., A. R. Howell, J. A. Hostetler, P. Schueller, M. de Wit, B. L. Bassett, C. J. Deutsch, and L. Ward-Geiger. 2019. Accuracy, precision, and error in age estimation of Florida manatee using growth layer groups in earbones. Journal of Mammalogy 100: 1350–1363. http://doi.org/10.1093/jmammal/gyz079
van de Kerk, M., D. P. Onorato, J. A. Hostetler, B. M. Bolker, and M. K. Oli. 2019. Dynamics, persistence, and genetic management of the endangered Florida panther population. Wildlife Monographs 203: 3–35. http://doi.org/10.1002/wmon.1041
Gowan, T. A., J. G. Ortega Ortiz, J. A. Hostetler, P. K. Hamilton, A. R. Knowlton, K. A. Jackson, R. C. George, C. R. Taylor, P. J. Naessig, D. W. Schulte. 2019. Temporal and demographic variation in partial migration of the North Atlantic right whale. Scientific Reports 9: 353. http://doi.org/10.1038/s41598-018-36723-3
Cohen, E. B., C. S. Rushing, F. R. Moore, M. T. Hallworth, J. A. Hostetler, M. Gutierrez Ramirez, and P. P. Marra. 2019. The strength of migratory connectivity for birds en route to breeding through the Gulf of Mexico. Ecography 42: 658–669. http://doi.org/10.1111/ecog.03974
Cohen, E. B., J. A. Hostetler, M. T. Hallworth, C. S. Rushing, T. S. Sillett, and P. P. Marra. 2018. Quantifying the strength of migratory connectivity. Methods in Ecology and Evolution 9: 513–524. http://doi.org/10.1111/2041-210X.12916
Rushing, C. S., J. A. Hostetler, T. S. Sillett, P. P. Marra, J. A. Rotenberg, and T. B. Ryder. 2017. Spatial and temporal drivers of avian population dynamics across the annual cycle. Ecology 98: 2837–2850. http://doi.org/10.1002/ecy.1967
Hostetler, J. A., T. S. Sillett, and P. P. Marra. 2015. Full-annual-cycle population models for migratory birds. The Auk: Ornithological Advances 132: 433–449. http://doi.org/10.1642/AUK-14-211.1
Smith, G. D., O. E. Murillo-García, J. A. Hostetler, R. Mearns, I. Newton, M. J. McGrady, and M. K. Oli. 2015. Demography of population recovery: Survival and fidelity of peregrine falcons at various stages of population recovery. Oecologia 178: 391–401. http://doi.org/10.1007/s00442-014-3168-3
McCleery, R., J. A. Hostetler, and M. K. Oli. 2014. Better off in the wild? Evaluating a captive breeding and release program for the recovery of an endangered rodent. Biological Conservation 169: 198–205. http://doi.org/10.1016/j.biocon.2013.11.026
McCleery, R., M. K. Oli, J. A. Hostetler, B. Karmacharya, D. Greene, C. Winchester, J. Gore, S. Sneckenberger, S. B. Castleberry, and M. T. Mengak. 2013. Are declines of an endangered mammal predation-driven, and can a captive breeding and release program aid their recovery? Journal of Zoology 291: 59–68. http://doi.org/10.1111/jzo.12046
Karmacharya, B., J. A. Hostetler, L. M. Conner, G. Morris, and M. K. Oli. 2013. The influence of mammalian predator exclusion, food supplementation, and prescribed fire on survival of Glaucomys volans. Journal of Mammalogy 94: 672–682. http://doi.org/10.1644/12-MAMM-A-071.1
Hostetler, J. A., D. P. Onorato, D. Jansen, and M. K. Oli. 2013. A cat’s tale: The impact of genetic restoration on Florida panther population persistence. Journal of Animal Ecology 82: 608–620. http://doi.org/10.1111/1365-2656.12033
Hostetler, J. A., E. Kneip, D. H. Van Vuren, and M. K. Oli. 2012. Stochastic population dynamics of a montane ground-dwelling squirrel. PLOS ONE 7: e34379. http://doi.org/10.1371/journal.pone.0034379
Karmacharya, B., J. A. Hostetler, L. M. Conner, G. Morris, and M. K. Oli. 2012. Longleaf pine management practices and their impact on small mammal populations. Forest Ecology and Management 271: 140–146. http://doi.org/10.1016/j.foreco.2012.01.031
Hostetler, J. A., D. P. Onorato, B. M. Bolker, W. E. Johnson, S. J. O’Brien, D. Jansen, and M. K. Oli. 2012. Does genetic introgression improve female reproductive performance? A test on the endangered Florida panther. Oecologia 168: 289–300. http://doi.org/10.1007/s00442-011-2083-0
Hyslop, N. L., D. J. Stevenson, J. Macey, L. Carlile, C. L. Jenkins, J. A. Hostetler, and M. K. Oli. 2012. Survival and population growth of a long-lived threatened snake species, Drymarchon couperi (Eastern Indigo Snake). Population Ecology 54: 145–156. http://doi.org/10.1007/s10144-011-0292-3
Morris, G., J. A. Hostetler, L. M. Conner, and M. K. Oli. 2011. Effects of prescribed fire, supplemental feeding, and mammalian predator exclusion on hispid cotton rat populations. Oecologia 167: 1005–1016. http://doi.org/10.1007/s00442-011-2053-6
Morris, G., J. A. Hostetler, M. K. Oli, and L. M. Conner. 2011. Effects of predation, fire, and supplemental feeding on populations of two species of Peromyscus mice. Journal of Mammalogy 92: 934–944. http://doi.org/10.1644/10-MAMM-A-419.1
Goswami, V. R., L. L. Getz, J. A. Hostetler, A. Ozgul, and M. K. Oli. 2011. Synergistic influences of phase, density and climatic variation on the dynamics of fluctuating populations. Ecology 92: 1680–1690. http://doi.org/10.1890/10-2317.1
Benson, J. F., J. A. Hostetler, D. P. Onorato, W. E. Johnson, M. E. Roelke, S. J. O’Brien, D. Jansen, and M. K. Oli. 2011. Intentional genetic introgression influences survival of adults and sub-adults in a small, inbred felid population. Journal of Animal Ecology 80: 958–967. http://doi.org/10.1111/j.1365-2656.2011.01809.x
Kneip, E, D. H. Van Vuren, J. A. Hostetler, and M. K. Oli. 2011. Influence of population density and climate on the demography of subalpine golden-mantled ground squirrels. Journal of Mammalogy 92: 367–377. http://doi.org/10.1644/10-MAMM-A-156.1
Singh, A., T. C. Hines, J. A. Hostetler, H. F. Percival, and M. K. Oli. 2011. Patterns of space and habitat use by northern bobwhites in South Florida, USA. European Journal of Wildlife Research 57: 15–26. http://doi.org/10.1007/s10344-010-0393-x
Trager, M. D., S. Bhotika, J. A. Hostetler, G. V. Andrade, M. A. Rodriguez-Cabal, C. S. McKeon, C. W. Osenberg, and B. M. Bolker. 2010. Benefits for plants in ant-plant protective mutualisms: A meta-analysis. PLOS ONE 5: e14308. http://doi.org/10.1371/journal.pone.0014308
Johnson, W. E., D. P. Onorato, M. E. Roelke, E. D. Land, M. Cunningham, C. Belden, R. McBride, D. Jansen, M. Lotz, D. Shindle, J. Howard, D. E. Wildt, L. M. Penfold, J. A. Hostetler, M. K. Oli, and S. J. O’Brien. 2010. Genetic restoration of the Florida panther. Science 329: 1641–1645. http://doi.org/10.1126/science.1192891
Jahn, A. E., D. J. Levey, J. A. Hostetler, and A. M. Mamani. 2010. Determinants of partial bird migration in the Amazon Basin. Journal of Animal Ecology 79: 983–992. http://doi.org/10.1111/j.1365-2656.2010.01713.x
Hostetler, J. A., J. W. McCown, E. P. Garrison, A. M. Neils, M. A. Barrett, M. E. Sunquist, S. L. Simek, and M. K. Oli. 2009. Demographic consequences of anthropogenic influences: Florida black bears in north central Florida. Biological Conservation 142: 2456–2463. http://doi.org/10.1016/j.biocon.2009.05.029
Aaltonen, K., A. A. Bryant, J. A. Hostetler, and M. K. Oli. 2009. Reintroducing endangered Vancouver Island marmots: Survival and cause-specific mortality rates of captive-born versus wild-born individuals. Biological Conservation 142: 2181–2190. http://doi.org/10.1016/j.biocon.2009.04.019
**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.
Supporting material for Challenges and opportunities for data integration to improve estimation of migratory connectivity
This is supporting code for the paper "Challenges and opportunities for data integration to improve estimation of migratory connectivity" by Jeffrey A. Hostetler, Emily B. Cohen, Christen M. Bossu, Amy L. Scarpignato, Kristen Ruegg, Andrea Contina, Clark S. Rushing, and Michael T. Hallworth in Methods in Ecology and Evolution. It allows the reader to run the simulations and case studies (for Paint
Science and Products
The North American Breeding Bird Survey, Analysis Results 1966 - 2022
This data product consists of a database of population change and abundance estimates for North American birds, estimated from North American Breeding Bird Survey (BBS) data. Data are presented for 548 species of birds in 4 spreadsheets containing trend estimates and annual indices for 2 time periods. Estimates are derived for each species using the 1 of 4 alternative models, and a cross-validatio
Data for "Population Dynamics and Harvest Management of Eastern Mallards"
Data and R Code for manuscript titled "Population Dynamics and Harvest Management of Eastern Mallards"
Filter Total Items: 15
Informative priors can account for location uncertainty in stop-level analyses of the North American Breeding Bird Survey (BBS), allowing fine-scale ecological analyses
Ecological inferences are often based on the locations at which species are present, but many species records have substantial uncertainty in spatial metadata, limiting their utility for fine-scale analyses. This is especially prevalent in historical records such as museum specimens, and in some citizen-science data. For example, the North American Breeding Bird Survey (BBS) has 55+ years of bird
Authors
Ryan C. Burner, Alan Kirschbaum, Jeffrey A. Hostetler, David Ziolkowski, Nicholas M. Anich, Daniel Turek, Eli D. Striegel, Neal D. Niemuth
Population dynamics and harvest management of eastern mallards
Managing sustainable harvest of wildlife populations requires regular collection of demographic data and robust estimates of demographic parameters. Estimates can then be used to develop a harvest strategy to guide decision-making. Mallards (Anas platyrhynchos) are an important species in the Atlantic Flyway for many users and they exhibited exponential growth in the eastern United States between
Authors
Anthony J. Roberts, Jeffrey A. Hostetler, Joshua C. Stiller, Patrick K. Devers, William Link
2021–2022 Statewide Abundance Estimates for the Florida Manatee
Knowing the population size of Florida manatees (Trichechus manatus latirostris) is critical for conservation and management of this threatened species. Martin et al. (2015) and Hostetler et al. (2018) applied statistical models that incorporated multiple data sources to estimate the statewide abundance of manatees from aerial surveys f lown in 2011–2012 and 2015–2016. We conducted additional aeri
Authors
Timothy A. Gowan, Holly H. Edwards, Andrea M. Krzystan, Julien Martin, Jeffrey A. Hostetler
Monitoring abundance of aggregated animals (Florida manatees) using an unmanned aerial system (UAS)
Imperfect detection is an important problem when counting wildlife, but new technologies such as unmanned aerial systems (UAS) can help overcome this obstacle. We used data collected by a UAS and a Bayesian closed capture-mark-recapture model to estimate abundance and distribution while accounting for imperfect detection of aggregated Florida manatees (Trichechus manatus latirostris) at thermal re
Authors
Holly H Edwards, Jeffrey A. Hostetler, Bradley M Stith, Julien Martin
A hidden Markov model for estimating age-specific survival when age and size are uncertain
Estimates of age-specific survival probabilities are needed for age-structured population models and to inform conservation decisions. However, determining the age of individuals in wildlife populations is often problematic. We present a hidden Markov model for estimating age-specific survival from capture–recapture or capture–recapture–recovery data when age is unknown and indicators of age, such
Authors
Timothy A. Gowan, Michael D. Tringali, Jeffrey A. Hostetler, Julien Martin, Leslie I. Ward-Geiger, Jennifer M Johnson
Reconstructing population dynamics of a threatened marine mammal using multiple data sets
Models of marine mammal population dynamics have been used extensively to predict abundance. A less common application of these models is to reconstruct historical population dynamics, filling in gaps in observation data by integrating information from multiple sources. We developed an integrated population model for the Florida manatee (Trichechus manatus latirostris) to reconstruct its populatio
Authors
J. Hostetler, Julien Martin, M. Kosempa, H. Edwards, K. Rood, S. Barton, Michael C. Runge
Updated statewide abundance estimates for the Florida manatee
Knowing how many manatees live in Florida is critical for conservation and management of this threatened species. Martin et al. (2015) flew aerial surveys in 2011–2012 and estimated abundance in those years using advanced techniques that incorporated multiple data sources. We flew additional aerial surveys in 2015–2016 to count manatees and again applied advanced statistical techniques to estimate
Authors
Jeffrey A. Hostetler, Holly H. Edwards, Julien Martin, Paul Schueller
Status and threats analysis for the Florida manatee (Trichechus manatus latirostris), 2016
Trichechus manatus (West Indian manatee), especially T. m. latirostris, the Florida subspecies, has been the focus of conservation efforts and extensive research since its listing under the Endangered Species Act of 1973. To determine the status of, and severity of threats to, the Florida manatee, a comprehensive revision and update of the manatee Core Biological Model was completed and used to pe
Authors
Michael C. Runge, Carol A. Sanders-Reed, Catherine A. Langtimm, Jeffrey A. Hostetler, Julien Martin, Charles J. Deutsch, Leslie I. Ward-Geiger, Gary L. Mahon
Status and threats analysis for the Florida manatee (Trichechus manatus latirostris), 2012
The endangered West Indian manatee (Trichechus manatus), especially the Florida subspecies (T. m. latirostris), has been the focus of conservation efforts and extensive research since its listing under the Endangered Species Act. On the basis of the best information available as of December 2012, the threats facing the Florida manatee were determined to be less severe than previously thought, eith
Authors
Michael C. Runge, Catherine A. Langtimm, Julien Martin, Christopher J. Fonnesbeck
Estimating migratory connectivity of birds when re-encounter probabilities are heterogeneous
Understanding the biology and conducting effective conservation of migratory species requires an understanding of migratory connectivity – the geographic linkages of populations between stages of the annual cycle. Unfortunately, for most species, we are lacking such information. The North American Bird Banding Laboratory (BBL) houses an extensive database of marking, recaptures and recoveries, and
Authors
Emily B. Cohen, Jeffrey A. Hostelter, J. Andrew Royle, Peter P. Marra
Effects of harvest and climate on population dynamics of northern bobwhites in south Florida
Context: Hunting-related (hereafter harvest) mortality is assumed to be compensatory in many exploited species. However, when harvest mortality is additive, hunting can lead to population declines, especially on public land where hunting pressure can be intense. Recent studies indicate that excessive hunting may have contributed to the decline of a northern bobwhite (Colinus virginianus) populatio
Authors
V. Rolland, J.A. Hostetler, T.C. Hines, Fred A. Johnson, H. Franklin Percival, M.K. Oli
Factors influencing reproductive performance of northern bobwhite in South Florida
Reproductive success is a critical component of individual fitness, and also an important determinant of growth rates of populations characterized by early maturity and high fecundity. We used radiotelemetry data collected during 2003–2008 to estimate reproductive parameters in a declining northern bobwhite (Colinus virginianus) population in South Florida, and to test hypotheses regarding factors
Authors
V. Rolland, J.A. Hostetler, T.C. Hines, H. Franklin Percival, M.K. Oli
Non-USGS Publications**
Roberts A., A. L. Scarpignato, A. Huysman, J. A. Hostetler, and E. B. Cohen. 2023. Migratory connectivity of North American waterfowl across administrative flyways. Ecological Applications 33: e2788. http://doi.org/10.1002/eap.2788
Bassett, B. L., J. A. Hostetler, E. Leone, C. P. Shea, B. D. Barbeau, G. L. Lonati, A. L. Panike, A. Honaker, L. I. Ward-Geiger. 2020. Quantifying sublethal Florida manatee–watercraft interactions by examining scars on manatee carcasses. Endangered Species Research 43: 395–408. http://doi.org/10.3354/esr01075
Hardy, S. K., C. J. Deutsch, T. A. Cross, M. de Wit, and J. A. Hostetler. 2019. Cold-related Florida manatee mortality in relation to air and water temperatures. PLOS ONE 14: e0225048. http://doi.org/10.1371/journal.pone.0225048
Lonati, G. L., A. R. Howell, J. A. Hostetler, P. Schueller, M. de Wit, B. L. Bassett, C. J. Deutsch, and L. Ward-Geiger. 2019. Accuracy, precision, and error in age estimation of Florida manatee using growth layer groups in earbones. Journal of Mammalogy 100: 1350–1363. http://doi.org/10.1093/jmammal/gyz079
van de Kerk, M., D. P. Onorato, J. A. Hostetler, B. M. Bolker, and M. K. Oli. 2019. Dynamics, persistence, and genetic management of the endangered Florida panther population. Wildlife Monographs 203: 3–35. http://doi.org/10.1002/wmon.1041
Gowan, T. A., J. G. Ortega Ortiz, J. A. Hostetler, P. K. Hamilton, A. R. Knowlton, K. A. Jackson, R. C. George, C. R. Taylor, P. J. Naessig, D. W. Schulte. 2019. Temporal and demographic variation in partial migration of the North Atlantic right whale. Scientific Reports 9: 353. http://doi.org/10.1038/s41598-018-36723-3
Cohen, E. B., C. S. Rushing, F. R. Moore, M. T. Hallworth, J. A. Hostetler, M. Gutierrez Ramirez, and P. P. Marra. 2019. The strength of migratory connectivity for birds en route to breeding through the Gulf of Mexico. Ecography 42: 658–669. http://doi.org/10.1111/ecog.03974
Cohen, E. B., J. A. Hostetler, M. T. Hallworth, C. S. Rushing, T. S. Sillett, and P. P. Marra. 2018. Quantifying the strength of migratory connectivity. Methods in Ecology and Evolution 9: 513–524. http://doi.org/10.1111/2041-210X.12916
Rushing, C. S., J. A. Hostetler, T. S. Sillett, P. P. Marra, J. A. Rotenberg, and T. B. Ryder. 2017. Spatial and temporal drivers of avian population dynamics across the annual cycle. Ecology 98: 2837–2850. http://doi.org/10.1002/ecy.1967
Hostetler, J. A., T. S. Sillett, and P. P. Marra. 2015. Full-annual-cycle population models for migratory birds. The Auk: Ornithological Advances 132: 433–449. http://doi.org/10.1642/AUK-14-211.1
Smith, G. D., O. E. Murillo-García, J. A. Hostetler, R. Mearns, I. Newton, M. J. McGrady, and M. K. Oli. 2015. Demography of population recovery: Survival and fidelity of peregrine falcons at various stages of population recovery. Oecologia 178: 391–401. http://doi.org/10.1007/s00442-014-3168-3
McCleery, R., J. A. Hostetler, and M. K. Oli. 2014. Better off in the wild? Evaluating a captive breeding and release program for the recovery of an endangered rodent. Biological Conservation 169: 198–205. http://doi.org/10.1016/j.biocon.2013.11.026
McCleery, R., M. K. Oli, J. A. Hostetler, B. Karmacharya, D. Greene, C. Winchester, J. Gore, S. Sneckenberger, S. B. Castleberry, and M. T. Mengak. 2013. Are declines of an endangered mammal predation-driven, and can a captive breeding and release program aid their recovery? Journal of Zoology 291: 59–68. http://doi.org/10.1111/jzo.12046
Karmacharya, B., J. A. Hostetler, L. M. Conner, G. Morris, and M. K. Oli. 2013. The influence of mammalian predator exclusion, food supplementation, and prescribed fire on survival of Glaucomys volans. Journal of Mammalogy 94: 672–682. http://doi.org/10.1644/12-MAMM-A-071.1
Hostetler, J. A., D. P. Onorato, D. Jansen, and M. K. Oli. 2013. A cat’s tale: The impact of genetic restoration on Florida panther population persistence. Journal of Animal Ecology 82: 608–620. http://doi.org/10.1111/1365-2656.12033
Hostetler, J. A., E. Kneip, D. H. Van Vuren, and M. K. Oli. 2012. Stochastic population dynamics of a montane ground-dwelling squirrel. PLOS ONE 7: e34379. http://doi.org/10.1371/journal.pone.0034379
Karmacharya, B., J. A. Hostetler, L. M. Conner, G. Morris, and M. K. Oli. 2012. Longleaf pine management practices and their impact on small mammal populations. Forest Ecology and Management 271: 140–146. http://doi.org/10.1016/j.foreco.2012.01.031
Hostetler, J. A., D. P. Onorato, B. M. Bolker, W. E. Johnson, S. J. O’Brien, D. Jansen, and M. K. Oli. 2012. Does genetic introgression improve female reproductive performance? A test on the endangered Florida panther. Oecologia 168: 289–300. http://doi.org/10.1007/s00442-011-2083-0
Hyslop, N. L., D. J. Stevenson, J. Macey, L. Carlile, C. L. Jenkins, J. A. Hostetler, and M. K. Oli. 2012. Survival and population growth of a long-lived threatened snake species, Drymarchon couperi (Eastern Indigo Snake). Population Ecology 54: 145–156. http://doi.org/10.1007/s10144-011-0292-3
Morris, G., J. A. Hostetler, L. M. Conner, and M. K. Oli. 2011. Effects of prescribed fire, supplemental feeding, and mammalian predator exclusion on hispid cotton rat populations. Oecologia 167: 1005–1016. http://doi.org/10.1007/s00442-011-2053-6
Morris, G., J. A. Hostetler, M. K. Oli, and L. M. Conner. 2011. Effects of predation, fire, and supplemental feeding on populations of two species of Peromyscus mice. Journal of Mammalogy 92: 934–944. http://doi.org/10.1644/10-MAMM-A-419.1
Goswami, V. R., L. L. Getz, J. A. Hostetler, A. Ozgul, and M. K. Oli. 2011. Synergistic influences of phase, density and climatic variation on the dynamics of fluctuating populations. Ecology 92: 1680–1690. http://doi.org/10.1890/10-2317.1
Benson, J. F., J. A. Hostetler, D. P. Onorato, W. E. Johnson, M. E. Roelke, S. J. O’Brien, D. Jansen, and M. K. Oli. 2011. Intentional genetic introgression influences survival of adults and sub-adults in a small, inbred felid population. Journal of Animal Ecology 80: 958–967. http://doi.org/10.1111/j.1365-2656.2011.01809.x
Kneip, E, D. H. Van Vuren, J. A. Hostetler, and M. K. Oli. 2011. Influence of population density and climate on the demography of subalpine golden-mantled ground squirrels. Journal of Mammalogy 92: 367–377. http://doi.org/10.1644/10-MAMM-A-156.1
Singh, A., T. C. Hines, J. A. Hostetler, H. F. Percival, and M. K. Oli. 2011. Patterns of space and habitat use by northern bobwhites in South Florida, USA. European Journal of Wildlife Research 57: 15–26. http://doi.org/10.1007/s10344-010-0393-x
Trager, M. D., S. Bhotika, J. A. Hostetler, G. V. Andrade, M. A. Rodriguez-Cabal, C. S. McKeon, C. W. Osenberg, and B. M. Bolker. 2010. Benefits for plants in ant-plant protective mutualisms: A meta-analysis. PLOS ONE 5: e14308. http://doi.org/10.1371/journal.pone.0014308
Johnson, W. E., D. P. Onorato, M. E. Roelke, E. D. Land, M. Cunningham, C. Belden, R. McBride, D. Jansen, M. Lotz, D. Shindle, J. Howard, D. E. Wildt, L. M. Penfold, J. A. Hostetler, M. K. Oli, and S. J. O’Brien. 2010. Genetic restoration of the Florida panther. Science 329: 1641–1645. http://doi.org/10.1126/science.1192891
Jahn, A. E., D. J. Levey, J. A. Hostetler, and A. M. Mamani. 2010. Determinants of partial bird migration in the Amazon Basin. Journal of Animal Ecology 79: 983–992. http://doi.org/10.1111/j.1365-2656.2010.01713.x
Hostetler, J. A., J. W. McCown, E. P. Garrison, A. M. Neils, M. A. Barrett, M. E. Sunquist, S. L. Simek, and M. K. Oli. 2009. Demographic consequences of anthropogenic influences: Florida black bears in north central Florida. Biological Conservation 142: 2456–2463. http://doi.org/10.1016/j.biocon.2009.05.029
Aaltonen, K., A. A. Bryant, J. A. Hostetler, and M. K. Oli. 2009. Reintroducing endangered Vancouver Island marmots: Survival and cause-specific mortality rates of captive-born versus wild-born individuals. Biological Conservation 142: 2181–2190. http://doi.org/10.1016/j.biocon.2009.04.019
**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.
Supporting material for Challenges and opportunities for data integration to improve estimation of migratory connectivity
This is supporting code for the paper "Challenges and opportunities for data integration to improve estimation of migratory connectivity" by Jeffrey A. Hostetler, Emily B. Cohen, Christen M. Bossu, Amy L. Scarpignato, Kristen Ruegg, Andrea Contina, Clark S. Rushing, and Michael T. Hallworth in Methods in Ecology and Evolution. It allows the reader to run the simulations and case studies (for Paint