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dc.contributor.authorPetersen, Ib Krag
dc.contributor.authorMacKenzie, Monique Lea
dc.contributor.authorRexstad, Eric
dc.contributor.authorWisz, Mary S.
dc.contributor.authorFox, Anthony D.
dc.date.accessioned2011-10-03T08:26:16Z
dc.date.available2011-10-03T08:26:16Z
dc.date.issued2011
dc.identifier.citationPetersen , I K , MacKenzie , M L , Rexstad , E , Wisz , M S & Fox , A D 2011 , Comparing pre- and post-construction distributions of long-tailed ducks Clangula hyemalis in and around the Nysted offshore wind farm, Denmark : a quasi-designed experiment accounting for imperfect detection, local surface features and autocorrelation . CREEM Technical Report , no. 2011-1 , University of St Andrews .en
dc.identifier.otherPURE: 14419791
dc.identifier.otherPURE UUID: 510cd387-cf06-4a11-bd75-d6dca9efe26c
dc.identifier.otherORCID: /0000-0002-4323-8161/work/29574870
dc.identifier.urihttp://hdl.handle.net/10023/2008
dc.description.abstractWe report a novel technique to model abundance patterns of wintering seaducks in relation to the construction of an offshore wind farm (OWF) based on seven years of aerial survey transect data. Distance sampling was used to estimate seaduck densities adjusted for covariates affecting detection probabilities. A generalized additive model (GAM) generated seaduck densities in sampling units in relation to spatially explicit covariates, using bootstrapping to account for uncertainties in both processes. Generalized estimating equations generated precision measures for the GAM robust to spatial and temporal autocorrelation. Comparison of pre- and post-construction model generated surfaces showed significant reductions in long-tailed duck numbers only within the OWF (despite the fact that the model was uninformed about the OWF location), although the absolute numbers involved were trivial in a flyway population context. This method provides quantification of distributional effects on organisms over a gradient in space and time that offers an alternative to Before-After/Control-Impact designs in environmental impact assessment.
dc.format.extent16
dc.language.isoeng
dc.publisherUniversity of St Andrews
dc.relation.ispartofseriesCREEM Technical Reporten
dc.subjectAerial surveysen
dc.subjectDistance samplingen
dc.subjectEnvironmental impact assessmenten
dc.subjectFeeding desitiesen
dc.subjectGeneralized additive modelsen
dc.subjectParametric bootstrapen
dc.subjectSpatially-adaptive modelen
dc.subjectGeneralized estimating equationsen
dc.subjectSeaducksen
dc.subjectSpatial autocorrelationen
dc.subjectTemporal autocorrelationen
dc.subjectQA Mathematicsen
dc.subjectQH Natural historyen
dc.subjectQL Zoologyen
dc.subject.lccQAen
dc.subject.lccQHen
dc.subject.lccQLen
dc.titleComparing pre- and post-construction distributions of long-tailed ducks Clangula hyemalis in and around the Nysted offshore wind farm, Denmark : a quasi-designed experiment accounting for imperfect detection, local surface features and autocorrelationen
dc.typeReporten
dc.description.versionPostprinten
dc.contributor.institutionUniversity of St Andrews.Centre for Research into Ecological & Environmental Modellingen
dc.contributor.institutionUniversity of St Andrews.School of Mathematics and Statisticsen


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