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
2010
This work describes a parametric bootstrap model for standardising animal count data to
a common reference point of breeding chronology for species with a complex temporal
function of sampling availability. ICESCAPE (Integrating Count Effort by Seasonally
Correcting Animal Population Estimates) is a suite of routines that implements a general
abundance estimator accounting for availability bias, detection bias and sampling
fractions less than unity. Within this resampling framework, all reported measures of
uncertainty associated with originally published counts are propagated through to the
final adjusted estimates. Adjustment for availability bias is achieved by applying an
adjustment factor based on independently measured time series of availability throughout
a breeding season. Such time series are typically collected at only a limited number of
sites, so surrogate availability information for a site is used when none exists. Importantly,
a common standardisation procedure allows site-specific estimates to be aggregated to
achieve region-scale population estimates. By way of illustration, the method is applied
to several examples of published studies of Adelie penguin abundance at breeding sites
in Antarctica. These examples focus on adjusting counts of adults to an effective number
of breeding pairs, although the software has been developed to accommodate adjustment
and aggregation of other count objects typical for penguin species, such as occupied nest
or chick counts. While tailored for Adelie penguins, the method and implementation is
sufficiently general to be easily adapted for other colonial land-breeding species showing
seasonal variation in availability to sampling methodology.
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