Abstract
Wind power is one of the most promising energy sources found in nature. Despite being considered a clean energy source, the existence of potential environmental impacts, namely, on flying vertebrates, is broadly recognized. In monitoring studies, estimation of avian (or bats) mortality caused by collision has particular interest and must take into account carcass removal by scavengers. For this purpose, scavenger removal trials are conducted at wind turbine sites. Data from scavenger removal trials refer to time until removal of the carcass and are “classical” examples of survival times.Parametric survival models based on the exponential, Weibull, log-logistic, and lognormal distributions are among the most repeatedly used throughout literature. In this study we aim to discriminate between these four competing parametric models to analyze removal data from trials conducted in ten Portuguese wind farms. Plotting procedures and model selection strategies are used and discussed.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Ball, L.G., Zyskowski, K., Griselda, E.S.: Recent bird mortality at a Topeka television tower. Kansas Ornithol. Soc. Bull. 46, 33–35 (1995)
Collett, D.: Modelling Survival Data in Medical Research. Chapman & Hall/CRC, Boca Raton, Florida (2003)
Cox, D.R., Oakes, D.: Analysis of Survival Data. Chapman & Hall, London (1998)
Drewitt, A.L., Langston, R.H.W.: Collision effects of wind-power generators and other obstacles on birds. Ann. N. Y. Acad. Sci. 1134, 233–266 (2008)
Ferrer, M., Riva, M., Castroviejo, J.: Electrocution of raptors on power lines in southwestern Spain. J. Field Ornithol. 62, 181–190 (1991)
Hass, D., Nipkow, M., Fielder, G., Schneider, R., Haas, W., Schrenberg, B.: Protecting birds from powerlines. In: Nature and Environment, vol. 140. Council of Europe Publishing, Strasbourg (2005)
Huso, M.M.P.: An estimator of wildlife fatality from observed carcasses. Environmetrics 22, 318–329 (2010)
Johnson, G., Erickson, W., Strickland, M., Shepherd, M., Shepherd, D., Sarappo, S.: Mortality of bats at a large-scale wind power development at Buffalo Ridge, Minnesota. Am. Midl. Nat. 150, 332–342 (2003)
Kalbfleisch, J.D., Prentice, R.L.: The Statistical Analysis of Failure Time Data. Wiley, New York (2002)
Kostecke, R.M., Linz, G.M., Bleier, W.J.: Survival of avian carcasses and photographic evidence of predators and scavengers. J. Field Ornithol. 72, 439–447 (2001)
Lawless, J.F.: Statistical Models and Methods for Lifetime Data. Wiley, New York (2003)
R Development Core Team: R: A Language and Environment for Statistical Computing. R Foundation for Statistical Computing, Vienna, Austria (2011). URL http://www.R-project.org/. ISBN 3-900051-07-0
Therneau, T., original Splus → R port by Thomas Lumley: survival: Survival analysis, including penalised likelihood. (2011). URL http://CRAN.R-project.org/package=survival. R package version 2.36-5
Trombulak, S.C., Frissel, C.: Review of ecological effects of roads on terrestrial and aquatic communities. Conserv. Biol. 14, 18–30 (2000)
Acknowledgments
This research was conducted in collaboration with BIO3—Estudos e Projectos em Biologia e Valorização de Recursos Naturais. The research was partially sponsored by national funds through the Fundação Nacional para a Ciência e Tecnologia, Portugal—FCT under the project PEst-OE/MAT/UI0006/2011.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2013 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Bispo, R., Bernardino, J., Marques, T.A., Pestana, D. (2013). Discrimination Between Parametric Survival Models for Removal Times of Bird Carcasses in Scavenger Removal Trials at Wind Turbines Sites. In: Lita da Silva, J., Caeiro, F., Natário, I., Braumann, C. (eds) Advances in Regression, Survival Analysis, Extreme Values, Markov Processes and Other Statistical Applications. Studies in Theoretical and Applied Statistics(). Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-34904-1_6
Download citation
DOI: https://doi.org/10.1007/978-3-642-34904-1_6
Published:
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-34903-4
Online ISBN: 978-3-642-34904-1
eBook Packages: Mathematics and StatisticsMathematics and Statistics (R0)