Addressing uncertainty in braided river bird counts

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dc.contributor.authorBrown, J.A.
dc.contributor.authorRobinson, T.J.
dc.date.accessioned2009-08-03T22:10:22Z
dc.date.available2009-08-03T22:10:22Z
dc.date.issued2009en
dc.description.abstractWhen estimating a true population parameter from survey data, there is always some level of uncertainty as a result of imperfect detection, imperfect observation, spatial and temporal variation, and sampling error. In this report, we discuss the sources of uncertainty in New Zealand braided river bird counts. We use Monte Carlo simulations to illustrate the effect of different survey designs on uncertainty in counts for two species of bird: wrybill (Anarhynchus frontalis) and black-fronted tern (Sterna albostriata). The simulations were based on observed counts from previous river surveys. In general, larger annual changes can be detected with less uncertainty than smaller changes. Additional survey effort, e.g. replicate counts within a year, replicate sections within a river or replicate surveys over sequential years, will reduce uncertainty.en
dc.identifier.citationBrown, J.A., Robinson, T.J. (2009) Addressing uncertainty in braided river bird counts. Department of Conservation Research & Development Series 311. 23pp..en
dc.identifier.urihttp://hdl.handle.net/10092/2638
dc.language.isoen
dc.publisherUniversity of Canterbury. Mathematics and Statisticsen
dc.relation.urihttp://www.doc.govt.nz/upload/documents/science-and-technical/drds311entire.pdfen
dc.rights.urihttps://hdl.handle.net/10092/17651en
dc.subjectsurvey designen
dc.subjectMonte Carlo simulationen
dc.subjectvarianceen
dc.subject.marsdenFields of Research::230000 Mathematical Sciences::230200 Statisticsen
dc.subject.marsdenFields of Research::230000 Mathematical Sciences::239900 Other Mathematical Sciences::239901 Biological Mathematicsen
dc.titleAddressing uncertainty in braided river bird countsen
dc.typeReports
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