2017
DOI: 10.1002/jwmg.21404
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Integrated population models facilitate ecological understanding and improved management decisions

Abstract: Integrated population models (IPMs) represent a formal statistical methodology for combining multiple data sets such as population counts, band recoveries, and fecundity estimates into a single unified analysis with dual objectives: better estimating population size, trajectory, and vital rates; and formally describing the ecological processes that generated these patterns. Although IPMs have been used in population ecology and fisheries management, their use in wildlife management has been limited. Data sets … Show more

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Cited by 83 publications
(73 citation statements)
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“…Our results for low apparent survival in scoters suggest that these assessments may need to be revaluated. We recommend modeling white‐winged scoter population dynamics in an integrated framework to explore hypotheses about plausible mechanisms for population changes, including harvest, hence identify potential targets for management in this species (Arnold et al ).…”
Section: Management Implicationsmentioning
confidence: 99%
“…Our results for low apparent survival in scoters suggest that these assessments may need to be revaluated. We recommend modeling white‐winged scoter population dynamics in an integrated framework to explore hypotheses about plausible mechanisms for population changes, including harvest, hence identify potential targets for management in this species (Arnold et al ).…”
Section: Management Implicationsmentioning
confidence: 99%
“…Besbeas et al 2002 for a study on northern lapwing Vanellus venellus and grey heron Ardea cinerea ) and more recently, they have been applied to exploited populations in terrestrial ecosystems (Gauthier et al 2007; Arnold et al 2018). Strikingly, IPM built on exploited populations usually integrate population surveys (of alive individuals), catch-at-age data and capture-mark-recapture-recovery (CMRR) data into age-structured population models (Methot Jr & Wetzel 2013; Arnold et al 2018; Scheuerell et al 2019). This state-of-the-art limited up-to-now the applicability of IPM for two reasons: i) the age of harvested individuals is often not available because its determination is challenging and generally involves expensive and time-demanding analyses.…”
Section: Introductionmentioning
confidence: 99%
“…Integrated population models use an estimate of initial population size together with annual estimates of demographic vital rates in a matrix to project population size estimates forward, and then ‘adjust’ the projections based on other independently observed data. Estimates of population size (Arnold et al 2018) or population counts (Horne et al 2019) are used to adjust projections, but other independent data sources, such as sex or age ratios from harvest data (Fieberg et al 2010) or composition counts (White and Lubow 2002, Arnold et al 2018), can also be used to adjust the projections. However, if any of these data sets are biased (and particularly if they are precise), the integrated population model will reconcile the differences by adjusting other parameter estimates in the direction of the bias (Schaub and Fletcher 2015).…”
mentioning
confidence: 99%