Integrating count effort by seasonally correcting animal population estimates (ICESCAPE): a method for estimating abundance and its uncertainty from count data using Adelie penguins as a case study

This work describes a parametric bootstrap model for standardising animal count data toa common reference point of breeding chronology for species with a complex temporalfunction of sampling availability. ICESCAPE (Integrating Count Effort by SeasonallyCorrecting Animal Population Estimates) is a su...

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Main Authors: McKinlay, J, Southwell, C, Trebilco, R
Format: Article in Journal/Newspaper
Language:English
Published: C C A M L R Ti 2010
Subjects:
Online Access:http://www.ccamlr.org/en/system/files/science_journal_papers/12mckinlay-et-al.pdf
http://ecite.utas.edu.au/101969
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spelling ftunivtasecite:oai:ecite.utas.edu.au:101969 2023-05-15T14:03:25+02:00 Integrating count effort by seasonally correcting animal population estimates (ICESCAPE): a method for estimating abundance and its uncertainty from count data using Adelie penguins as a case study McKinlay, J Southwell, C Trebilco, R 2010 http://www.ccamlr.org/en/system/files/science_journal_papers/12mckinlay-et-al.pdf http://ecite.utas.edu.au/101969 en eng C C A M L R Ti McKinlay, J and Southwell, C and Trebilco, R, Integrating count effort by seasonally correcting animal population estimates (ICESCAPE): a method for estimating abundance and its uncertainty from count data using Adelie penguins as a case study, CCAMLR Science, 17 pp. 213-227. ISSN 1023-4063 (2010) [Refereed Article] http://ecite.utas.edu.au/101969 Mathematical Sciences Statistics Biostatistics Refereed Article PeerReviewed 2010 ftunivtasecite 2019-12-13T22:03:39Z This work describes a parametric bootstrap model for standardising animal count data toa common reference point of breeding chronology for species with a complex temporalfunction of sampling availability. ICESCAPE (Integrating Count Effort by SeasonallyCorrecting Animal Population Estimates) is a suite of routines that implements a generalabundance estimator accounting for availability bias, detection bias and samplingfractions less than unity. Within this resampling framework, all reported measures ofuncertainty associated with originally published counts are propagated through to thefinal adjusted estimates. Adjustment for availability bias is achieved by applying anadjustment factor based on independently measured time series of availability throughouta breeding season. Such time series are typically collected at only a limited number ofsites, so surrogate availability information for a site is used when none exists. Importantly,a common standardisation procedure allows site-specific estimates to be aggregated toachieve region-scale population estimates. By way of illustration, the method is appliedto several examples of published studies of Adlie penguin abundance at breeding sitesin Antarctica. These examples focus on adjusting counts of adults to an effective numberof breeding pairs, although the software has been developed to accommodate adjustmentand aggregation of other count objects typical for penguin species, such as occupied nestor chick counts. While tailored for Adlie penguins, the method and implementation issufficiently general to be easily adapted for other colonial land-breeding species showingseasonal variation in availability to sampling methodology. Article in Journal/Newspaper Antarc* Antarctica eCite UTAS (University of Tasmania) Nestor ENVELOPE(-63.435,-63.435,-64.415,-64.415)
institution Open Polar
collection eCite UTAS (University of Tasmania)
op_collection_id ftunivtasecite
language English
topic Mathematical Sciences
Statistics
Biostatistics
spellingShingle Mathematical Sciences
Statistics
Biostatistics
McKinlay, J
Southwell, C
Trebilco, R
Integrating count effort by seasonally correcting animal population estimates (ICESCAPE): a method for estimating abundance and its uncertainty from count data using Adelie penguins as a case study
topic_facet Mathematical Sciences
Statistics
Biostatistics
description This work describes a parametric bootstrap model for standardising animal count data toa common reference point of breeding chronology for species with a complex temporalfunction of sampling availability. ICESCAPE (Integrating Count Effort by SeasonallyCorrecting Animal Population Estimates) is a suite of routines that implements a generalabundance estimator accounting for availability bias, detection bias and samplingfractions less than unity. Within this resampling framework, all reported measures ofuncertainty associated with originally published counts are propagated through to thefinal adjusted estimates. Adjustment for availability bias is achieved by applying anadjustment factor based on independently measured time series of availability throughouta breeding season. Such time series are typically collected at only a limited number ofsites, so surrogate availability information for a site is used when none exists. Importantly,a common standardisation procedure allows site-specific estimates to be aggregated toachieve region-scale population estimates. By way of illustration, the method is appliedto several examples of published studies of Adlie penguin abundance at breeding sitesin Antarctica. These examples focus on adjusting counts of adults to an effective numberof breeding pairs, although the software has been developed to accommodate adjustmentand aggregation of other count objects typical for penguin species, such as occupied nestor chick counts. While tailored for Adlie penguins, the method and implementation issufficiently general to be easily adapted for other colonial land-breeding species showingseasonal variation in availability to sampling methodology.
format Article in Journal/Newspaper
author McKinlay, J
Southwell, C
Trebilco, R
author_facet McKinlay, J
Southwell, C
Trebilco, R
author_sort McKinlay, J
title Integrating count effort by seasonally correcting animal population estimates (ICESCAPE): a method for estimating abundance and its uncertainty from count data using Adelie penguins as a case study
title_short Integrating count effort by seasonally correcting animal population estimates (ICESCAPE): a method for estimating abundance and its uncertainty from count data using Adelie penguins as a case study
title_full Integrating count effort by seasonally correcting animal population estimates (ICESCAPE): a method for estimating abundance and its uncertainty from count data using Adelie penguins as a case study
title_fullStr Integrating count effort by seasonally correcting animal population estimates (ICESCAPE): a method for estimating abundance and its uncertainty from count data using Adelie penguins as a case study
title_full_unstemmed Integrating count effort by seasonally correcting animal population estimates (ICESCAPE): a method for estimating abundance and its uncertainty from count data using Adelie penguins as a case study
title_sort integrating count effort by seasonally correcting animal population estimates (icescape): a method for estimating abundance and its uncertainty from count data using adelie penguins as a case study
publisher C C A M L R Ti
publishDate 2010
url http://www.ccamlr.org/en/system/files/science_journal_papers/12mckinlay-et-al.pdf
http://ecite.utas.edu.au/101969
long_lat ENVELOPE(-63.435,-63.435,-64.415,-64.415)
geographic Nestor
geographic_facet Nestor
genre Antarc*
Antarctica
genre_facet Antarc*
Antarctica
op_relation McKinlay, J and Southwell, C and Trebilco, R, Integrating count effort by seasonally correcting animal population estimates (ICESCAPE): a method for estimating abundance and its uncertainty from count data using Adelie penguins as a case study, CCAMLR Science, 17 pp. 213-227. ISSN 1023-4063 (2010) [Refereed Article]
http://ecite.utas.edu.au/101969
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