4.3 Article

A method for estimating colony sizes of Ad,lie penguins using remote sensing imagery

期刊

POLAR BIOLOGY
卷 37, 期 4, 页码 507-517

出版社

SPRINGER
DOI: 10.1007/s00300-014-1451-8

关键词

Adelie penguin; Antarctica; Generalized linear mixed models; GIS; High-resolution imagery; Population estimation; Supervised classification

资金

  1. National Science Foundation [OPP-0217282, OPP-0823101, ANT-0739515, ANT-0944411, OPP-1109962, PLR-1255058]
  2. New Zealand's Ministry for Business, Innovation and Employment [C09X0510, C01X0505, C01X1001, CONT-21216-BKBN]
  3. Directorate For Geosciences
  4. Office of Polar Programs (OPP) [1255058] Funding Source: National Science Foundation
  5. Office of Polar Programs (OPP)
  6. Directorate For Geosciences [0944411, 0944141] Funding Source: National Science Foundation

向作者/读者索取更多资源

Ad,lie penguins (Pygoscelis adeliae) are important predators of krill (Euphausia spp.) and Antarctic silverfish (Pleuragramma antarctica) during summer, are a key indicator of the status of the Southern Ocean ecosystem, and are therefore a focal species for the Committee for the Conservation of Antarctic Marine Living Resources (CCAMLR) Ecosystem Monitoring Program. The ability to monitor the population size of species potentially affected by Southern Ocean fisheries, i.e., the Ad,lie penguin, is critical for effective management of those resources. However, for several reasons, direct estimates of population size are not possible in many locations around Antarctica. In this study, we combine high-resolution (0.6 m) satellite imagery with spectral analysis in a supervised classification to estimate the sizes of Ad,lie penguin breeding colonies along Victoria Land in the Ross Sea and on the Antarctic Peninsula. Using satellite images paired with concurrent ground counts, we fit a generalized linear mixed model with Poisson errors to predict the abundance of breeding pairs as a function of the area of current-year guano staining identified in the satellite imagery. Guano-covered area proved to be an effective proxy for the number of penguins residing within. Our model provides a robust, quantitative mechanism for estimating the breeding population size of colonies captured in imagery and identifies terrain slope as a significant component influencing apparent nesting density. While our high-resolution satellite imagery technique was developed for the Ad,lie penguin, these principles are directly transferrable to other colonially nesting seabirds and other species that aggregate in fixed localities.

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