Estimating Bat and Bird Mortality Occurring at Wind Energy Turbines from Covariates and Carcass Searches Using Mixture Models

Show simple item record

dc.identifier.uri http://dx.doi.org/10.15488/288
dc.identifier.uri http://www.repo.uni-hannover.de/handle/123456789/310
dc.contributor.author Korner-Nievergelt, Fränzi
dc.contributor.author Brinkmann, Robert
dc.contributor.author Niermann, Ivo
dc.contributor.author Behr, Oliver
dc.date.accessioned 2016-06-13T14:56:11Z
dc.date.available 2016-06-13T14:56:11Z
dc.date.issued 2013-07-03
dc.identifier.citation Korner-Nievergelt, Fraenzi; Brinkmann, Robert; Niermann, Ivo; Behr, Oliver: Estimating Bat and Bird Mortality Occurring at Wind Energy Turbines from Covariates and Carcass Searches Using Mixture Models. In: PloS ONE 8 (2013), Nr. 7, e67997. DOI: http://dx.doi.org/10.1371/journal.pone.0067997
dc.description.abstract Environmental impacts of wind energy facilities increasingly cause concern, a central issue being bats and birds killed by rotor blades. Two approaches have been employed to assess collision rates: carcass searches and surveys of animals prone to collisions. Carcass searches can provide an estimate for the actual number of animals being killed but they offer little information on the relation between collision rates and, for example, weather parameters due to the time of death not being precisely known. In contrast, a density index of animals exposed to collision is sufficient to analyse the parameters influencing the collision rate. However, quantification of the collision rate from animal density indices (e.g. acoustic bat activity or bird migration traffic rates) remains difficult. We combine carcass search data with animal density indices in a mixture model to investigate collision rates. In a simulation study we show that the collision rates estimated by our model were at least as precise as conventional estimates based solely on carcass search data. Furthermore, if certain conditions are met, the model can be used to predict the collision rate from density indices alone, without data from carcass searches. This can reduce the time and effort required to estimate collision rates. We applied the model to bat carcass search data obtained at 30 wind turbines in 15 wind facilities in Germany. We used acoustic bat activity and wind speed as predictors for the collision rate. The model estimates correlated well with conventional estimators. Our model can be used to predict the average collision rate. It enables an analysis of the effect of parameters such as rotor diameter or turbine type on the collision rate. The model can also be used in turbine-specific curtailment algorithms that predict the collision rate and reduce this rate with a minimal loss of energy production. eng
dc.description.sponsorship German Federal Ministry for the Environment, Nature Conservation and Nuclear Safety/FKZ 0327638 A, B
dc.language.iso eng
dc.publisher San Francisco : Public Library Science
dc.relation.ispartofseries PLoS ONE 8 (2013), Nr. 7
dc.rights CC BY 4.0
dc.rights.uri http://creativecommons.org/licenses/by/4.0/
dc.subject replicated counts eng
dc.subject migratory bats eng
dc.subject facilities eng
dc.subject fatality eng
dc.subject impacts eng
dc.subject radar eng
dc.subject populations eng
dc.subject minnesota eng
dc.subject abundance eng
dc.subject patterns eng
dc.subject.ddc 590 | Tiere (Zoologie) ger
dc.subject.ddc 720 | Architektur ger
dc.title Estimating Bat and Bird Mortality Occurring at Wind Energy Turbines from Covariates and Carcass Searches Using Mixture Models
dc.type article
dc.type Text
dc.relation.essn 1932-6203
dc.relation.doi http://dx.doi.org/10.1371/journal.pone.0067997
dc.bibliographicCitation.issue 7
dc.bibliographicCitation.volume 8
dc.bibliographicCitation.firstPage e67997
dc.description.version publishedVersion
tib.accessRights frei zug�nglich


Files in this item

This item appears in the following Collection(s):

Show simple item record

 

Search the repository


Browse

My Account

Usage Statistics