Dissertation/ Thesis
Methods in spatially explicit capture-recapture
| Τίτλος: | Methods in spatially explicit capture-recapture |
|---|---|
| Συγγραφείς: | Stevenson, Ben C. |
| Συνεισφορές: | Borchers, David L. |
| Στοιχεία εκδότη: | University of St Andrews, 2016. |
| Έτος έκδοσης: | 2016 |
| Θεματικοί όροι: | 577, Ecological statistics, Spatial capture-recapture, Mark-recapture, Animal density estimation, Passive acoustic monitoring, Aerial surveys, QH352.S8, Animal population density--Statistical methods, Ecology--Statistical methods |
| Περιγραφή: | Capture-recapture (CR) methods are a ubiquitous means of estimating animal abundance from wildlife surveys. They rely on the detection and subsequent redetection of individuals over a number of sampling occasions. It is usually necessary for individuals to be recognised upon redetection. Spatially explicit capture-recapture (SECR) methods generalise those of CR by accounting for the locations at which each detection occurs. This allows spatial heterogeneity in detection probabilities to be accounted for: individuals with home-range centres near the detector array are more likely to be detected. They also permit estimation of animal density in addition to abundance. One particular advantage of SECR methods is that they can be used when individuals are detected via the cues they produce---examples include birdsongs detected by microphones and whale surfacings detected by human observers. In such situations each cue may be detected by multiple detectors at different fixed locations. Redetections are then spatial (rather than temporal) in nature, and density can be estimated from a single survey occasion. Existing methods, however, cannot generally be appropriately applied to the resulting cue-detection data without making assumptions that rarely hold. Additionally, they usually estimate cue density rather than animal density, which does not usually have the same biological importance. This thesis extends SECR methodology primarily for the appropriate estimation of animal density from cue-based SECR surveys. These extensions include (i) incorporation of auxiliary survey data into SECR estimators, (ii) appropriate point and variance estimators of animal density for a range of scenarios, and (iii) methods to account for both heterogeneity in detectability and cues that are directional in nature. Moreover, a general class of methods is presented for the estimation of demographic parameters from wildlife surveys on which individuals cannot be recognised. These can variously be applied to CR and---potentially---SECR. |
| Τύπος εγγράφου: | Thesis Or Dissertation |
| Γλώσσα: | English |
| Σύνδεσμος πρόσβασης: | https://ethos.blethoshyku.com/concern/thesis_or_dissertations/781534 |
| Αριθμός Καταχώρησης: | edsble.781534 |
| Βάση Δεδομένων: | British Library EThOS |
| FullText | Text: Availability: 0 CustomLinks: – Url: https://ethos.blethoshyku.com/concern/thesis_or_dissertations/781534 Name: EDS - British Library EThOS (ns324271) Category: fullText Text: View record in EThOS |
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| Header | DbId: edsble DbLabel: British Library EThOS An: edsble.781534 RelevancyScore: 937 AccessLevel: 3 PubType: Dissertation/ Thesis PubTypeId: dissertation PreciseRelevancyScore: 937.178283691406 |
| IllustrationInfo | |
| Items | – Name: Title Label: Title Group: Ti Data: Methods in spatially explicit capture-recapture – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Stevenson%2C+Ben+C%2E%22">Stevenson, Ben C.</searchLink> – Name: Author Label: Contributors Group: Au Data: Borchers, David L. – Name: Publisher Label: Publisher Information Group: PubInfo Data: University of St Andrews, 2016. – Name: DatePubCY Label: Publication Year Group: Date Data: 2016 – Name: Subject Label: Subject Terms Group: Su Data: <searchLink fieldCode="DE" term="%22577%22">577</searchLink><br /><searchLink fieldCode="DE" term="%22Ecological+statistics%22">Ecological statistics</searchLink><br /><searchLink fieldCode="DE" term="%22Spatial+capture-recapture%22">Spatial capture-recapture</searchLink><br /><searchLink fieldCode="DE" term="%22Mark-recapture%22">Mark-recapture</searchLink><br /><searchLink fieldCode="DE" term="%22Animal+density+estimation%22">Animal density estimation</searchLink><br /><searchLink fieldCode="DE" term="%22Passive+acoustic+monitoring%22">Passive acoustic monitoring</searchLink><br /><searchLink fieldCode="DE" term="%22Aerial+surveys%22">Aerial surveys</searchLink><br /><searchLink fieldCode="DE" term="%22QH352%2ES8%22">QH352.S8</searchLink><br /><searchLink fieldCode="DE" term="%22Animal+population+density--Statistical+methods%22">Animal population density--Statistical methods</searchLink><br /><searchLink fieldCode="DE" term="%22Ecology--Statistical+methods%22">Ecology--Statistical methods</searchLink> – Name: Abstract Label: Description Group: Ab Data: Capture-recapture (CR) methods are a ubiquitous means of estimating animal abundance from wildlife surveys. They rely on the detection and subsequent redetection of individuals over a number of sampling occasions. It is usually necessary for individuals to be recognised upon redetection. Spatially explicit capture-recapture (SECR) methods generalise those of CR by accounting for the locations at which each detection occurs. This allows spatial heterogeneity in detection probabilities to be accounted for: individuals with home-range centres near the detector array are more likely to be detected. They also permit estimation of animal density in addition to abundance. One particular advantage of SECR methods is that they can be used when individuals are detected via the cues they produce---examples include birdsongs detected by microphones and whale surfacings detected by human observers. In such situations each cue may be detected by multiple detectors at different fixed locations. Redetections are then spatial (rather than temporal) in nature, and density can be estimated from a single survey occasion. Existing methods, however, cannot generally be appropriately applied to the resulting cue-detection data without making assumptions that rarely hold. Additionally, they usually estimate cue density rather than animal density, which does not usually have the same biological importance. This thesis extends SECR methodology primarily for the appropriate estimation of animal density from cue-based SECR surveys. These extensions include (i) incorporation of auxiliary survey data into SECR estimators, (ii) appropriate point and variance estimators of animal density for a range of scenarios, and (iii) methods to account for both heterogeneity in detectability and cues that are directional in nature. Moreover, a general class of methods is presented for the estimation of demographic parameters from wildlife surveys on which individuals cannot be recognised. These can variously be applied to CR and---potentially---SECR. – Name: TypeDocument Label: Document Type Group: TypDoc Data: Thesis Or Dissertation – Name: Language Label: Language Group: Lang Data: English – Name: URL Label: Access URL Group: URL Data: <link linkTarget="URL" linkTerm="https://ethos.blethoshyku.com/concern/thesis_or_dissertations/781534" linkWindow="_blank">https://ethos.blethoshyku.com/concern/thesis_or_dissertations/781534</link> – Name: AN Label: Accession Number Group: ID Data: edsble.781534 |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=edsble&AN=edsble.781534 |
| RecordInfo | BibRecord: BibEntity: Languages: – Text: English Subjects: – SubjectFull: 577 Type: general – SubjectFull: Ecological statistics Type: general – SubjectFull: Spatial capture-recapture Type: general – SubjectFull: Mark-recapture Type: general – SubjectFull: Animal density estimation Type: general – SubjectFull: Passive acoustic monitoring Type: general – SubjectFull: Aerial surveys Type: general – SubjectFull: QH352.S8 Type: general – SubjectFull: Animal population density--Statistical methods Type: general – SubjectFull: Ecology--Statistical methods Type: general Titles: – TitleFull: Methods in spatially explicit capture-recapture Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Stevenson, Ben C. – PersonEntity: Name: NameFull: Borchers, David L. IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 01 Type: published Y: 2016 Identifiers: – Type: issn-locals Value: edsble |
| ResultId | 1 |