Evaluating the power of surface attendance counts to detect long-term trends in populations of crevice-nesting auklets

Environmental Monitoring and Assessment

Volumn 177, Issue 1-4, 2011, Pages 665-679

  Renner, Heather M ^a   Reynolds, Joel H ^b   Sims, Michelle ^c   Renner, Martin ^d  

^a Alaska Maritime National Wildlife Refuge   (United States)

^b Division of Realty and Natural Resources   (United States)

^c University of Bath   (United Kingdom)

^d UNIVERSITY OF WASHINGTON   (United States)

Author keywords

Aethia cristatella; Aethia pusilla; Bering Sea; Hierarchical models; Mixed effects; Population trends; Seabirds; Statistical power; Zero inflated

Indexed keywords

AETHIA CRISTATELLA; AETHIA PUSILLA; BERING SEA; HIERARCHICAL MODELS; MIXED-EFFECTS; POPULATION TRENDS; SEABIRDS; STATISTICAL POWER; ZERO-INFLATED;

DESIGN; ECOSYSTEMS; HIERARCHICAL SYSTEMS; SURVEYS;

POPULATION STATISTICS;

BIOINDICATOR; BIOMONITORING; BREEDING SEASON; ENVIRONMENTAL INDICATOR; HIERARCHICAL SYSTEM; MARINE ECOSYSTEM; NUMERICAL MODEL; POISSON RATIO; POPULATION DECLINE; POPULATION DENSITY; REGRESSION ANALYSIS; SEABIRD; STATISTICAL ANALYSIS;

ARTICLE; BREEDING; CONTROLLED STUDY; ENDANGERED SPECIES; ENVIRONMENTAL MONITORING; LIFE HISTORY; NESTING; NONHUMAN; ORGANISM COLONY; POPULATION DENSITY; POWER ANALYSIS; REGRESSION ANALYSIS; SAMPLING; SEABIRD; STATISTICAL ANALYSIS; STATISTICAL MODEL;

ANIMALS; CENSUSES; CHARADRIIFORMES; ECOSYSTEM; ENVIRONMENTAL MONITORING; MODELS, STATISTICAL; NESTING BEHAVIOR; POPULATION DYNAMICS;

ALASKA; ALEUTIAN ISLANDS; BERING SEA; PACIFIC OCEAN; UNITED STATES;

AETHIA; AETHIA CRISTATELLA; AETHIA PUSILLA; AVES;

EID: 79959747168     PISSN: 01676369     EISSN: 15732959     Source Type: Journal    
DOI: 10.1007/s10661-010-1664-4     Document Type: Article

References (46)

1. Bédard, J. (1969). The nesting of the crested, least, and parakeet auklets on St. Lawrence Island, Alaska. Condor, 71, 386-398.
2. Borchers, D. L., Buckland, S. T., & Zucchini, W. (2002). Estimating animal abundance: Closed populations. London: Springer.
3. Brooks, S. P., & Gelman, A. (1998). General methods for monitoring convergence of iterative simulations. Journal of Computational and Graphical Statistics, 7, 434-455. (Pubitemid 128635035)
4. Brown, H., & Prescott, R. (2001). Applied mixed models in medicine. Chichester: Wiley.
5. Byrd, G. V., Day, R. H., & Knudtson, E. P. (1983). Patterns of colony attendance and censusing of auklets at Buldir Island, Alaska. Condor, 85, 274-280.
6. Clayton, D. G. (1996). Generalized linear mixed models. In W. R. Gilks, S. Richardson, & D. J. Spiegelhalter (Eds.), Markov Chain Monte Carlo in practice (pp. 275-302). London: Chapman & Hall.
7. Fairweather, P. G. (1991). Statistical power and design requirements for environmental monitoring. Australian Journal of Marine and Freshwater Research, 42, 555-567.
8. Field, S. A., Tyre, A. J., & Possingham, H. P. (2005). Optimizing allocation of monitoring effort under economic and observational constraints. Journal of Wildlife Management, 69, 473-482. (Pubitemid 41129899)
9. Fowler, A. C., & Irons, D. B. (1994). Populations and productivity of seabirds on Little Diomede Island. In D. B. Irons (Ed.), Monitoring of populations and productivity of seabirds at Cape Lisburne and Little Diomede, Alaska, 1992 (pp. 69-110). Anchorage: Unpublished Minerals Management Service.
10. Gall, A. (2004). Planktivorous auklets (Aethia pusilla and A. cristatella) nesting on St. Lawrence Island, Alaska as indicators of marine conditions in the northern Bering Sea. MS thesis, Oregon State University, Corvallis, OR.
11. Gelman, A., & Hill, J. (2007). Data analysis using regression and multilevel/hierarchical models. Cambridge: Cambridge University Press.
12. Gerrodette, T. (1987). A power analysis for detecting trends. Ecology, 68, 1364-1372.
13. Gibbs, J. P., Snell, H. L., & Causton, C. E. (1999). Effective monitoring for adaptive wildlifemanagement: Lessons from the Galapagos Islands. Journal of Wildlife Management, 63, 1055-1065. (Pubitemid 29498855)
14. Harding, A. M. A., Piatt, J. F., Byrd, G. V., Hatch, S. A., Konyukhov, N. B., Golubova, E. G., et al. (2005). Variability in colony attendance of crevicenesting horned puffins: Implications for population monitoring. Journal of WildlifeManagement, 69, 1279-1296. (Pubitemid 41681649)
15. Hatch, S. A. (2003). Statistical power for detecting trends with applications to seabird monitoring. Biological Conservation, 111, 317-319.
16. Hunt, G. L. Jr., Stabeno, P., Walters, G., Sinclair, E., Brodeur, R. D., Napp, J. M., et al. (2002). Climate change and control of the southeastern Bering Sea pelagic ecosystem. Deep-Sea Research II, 49, 5821-5853. (Pubitemid 35391559)
17. IUCN (2001). Red List categories and criteria. Version 3.1. Prepared by the IUCN Species Survival Commission, Gland, Switzerland.
18. IUCN (2007). 2007 IUCN Red List of threatened species. http://www.iucnredlist.org. Accessed 25 February 2009, comparison.
19. Johnson, D. H. (2008). In defense of indices: The case of bird surveys. Journal of WildlifeManagement, 72, 857-868.
20. Jones, I. L. (1992). Colony attendance of least auklets at St. Paul Island, Alaska: Implications for population monitoring. Condor, 94, 93-100.
21. Jones, I. L. (1993a). Crested auklet (Aethia cristatella). In A. Poole & F. B. Gill (Eds.), The Birds of North America, No. 70. Philadelphia: Academy of Natural Sciences.
22. Jones, I. L. (1993b). Least auklet (Aethia pusilla). In A. Poole & F. B. Gill (Eds.), The Birds of North America, No. 70. Philadelphia: Academy of Natural Sciences.
23. Lambert, D. (1992). Zero-inflated Poisson regression, with an application to defects in manufacturing. Technometrics, 34, 1-14.
24. Legg, C. J., & Nagy, L. (2006). Why most conservation monitoring is, but need not be, a waste of time. Journal of Environmental Management, 78, 194-199. (Pubitemid 43115583)
25. Link, W. A., Cam, E., Nichols, J. D., & Cooch, E. G. (2002). Of bugs and birds: Markov chain monte carlo for hierarchical modeling in wildlife research. Journal of Wildlife Management, 66, 277-291.
26. Martin, T. G., Wintle, B. A., Rhodes, J. R., Kuhnert, P.M., &Field, S.A. (2005). Zero-tolerance ecology: Improving ecological influence by modeling the source of zero observations. Ecological Letters, 8, 1235-1246.
27. McCullagh, P., & Nelder, J. A. (1989). Generalized linear models (2nd ed.). New York: Chapman & Hall.
28. McDonald, T. L. (2002). Review of environmental monitoring methods: Survey designs. Environmental Monitoring and Assessment, 85, 277-292.
29. Niebauer, H. J. (1998). Variability in Bering Sea ice cover as affected by a regime shift in the North Pacific in the period 1947-1996. Journal of Geophysical Research, 103, 27717-27737.
30. Peterman, R. M. (1990). Statistical power analysis can improve fisheries research and management. Canadian journal of Fisheries and Aquatic Science, 47, 2-15.
31. Piatt, J. F., Roberts, B. D., & Hatch, S. A. (1990). Colony attendance and population monitoring of least and crested auklets on St. Lawrence Island, Alaska. Condor, 92, 97-106.
32. Pinheiro, J., & Bates, D. (2000). Mixed-ef fects models in S and S-Plus. New York: Springer.
33. R Development Core Team (2007) R: A language and environment for statistical computing. R Foundation for Statistical Computing, Vienna, Austria. ISBN 3-900051-07-0, URL http://www.R-project.org.
34. Renner, H. M., Renner, M., Reynolds, J. H., Harding, A. M. A., Jones, I. L., Irons,D. B., et al. (2006). Colony mapping: A new technique for monitoring crevicenesting seabirds. Condor, 108, 423-434. (Pubitemid 43787745)
35. Schall, R. (1991). Estimation in generalized linear models with random effects. Biometrika, 78, 719-727.
36. Seavy, N. E., & Reynolds,M. H. (2007). Is statistical power to detect trends a good assessment of population monitoring? Biological Conservation, 140, 187-191.
37. Sheffield, L. M., Gall, A. E., Roby, D. D., Irons, D. B., & Dugger, K. M. (2006). Monitoring planktivorous seabird populations: Validating surface counts of crevice-nesting auklets using mark-resight techniques. Canadian Journal of Zoology, 84, 846-854. (Pubitemid 44605963)
38. Sims, M., Bjorkland, R., Mason, P., & Crowder, L. B. (2008). Statistical power and sea turtle nesting beach surveys: How long and when? Biological Conservation, 141, 2921-2931.
39. Sims, M., Wanless, S., Harris, M. P., Mitchell, P. I., & Elston, D. A. (2006). Evaluating the power of monitoring plot designs for detecting long-term trends in the numbers of common guillemots. Journal of Applied Ecology, 43, 537-546. (Pubitemid 43725558)
40. Spiegelhalter, D. J., Thomas, A., Best, N., & Lunn, D. (2003). WinBUGS user manual. Version 1.4. Cambridge: MRC Biostatistics Unit, Institute of Public Health.
41. Springer, A. M., Byrd, G. V., & Iverson, S. J. (2007). Hot oceanography: Planktivorous seabirds reveal ecosystem responses to warming of the Bering Sea. Marine Ecology Progress Series, 352, 289-297. (Pubitemid 351211795)
42. Springer, A. M., & Roseneau, D. G. (1985). Copepod-based food webs: Auklets and oceanography in the Bering Sea. Marine Ecology Progress Series, 554, 229-237.
43. Stephensen, S. W., & Irons, D. B. (2003). Comparison of colonial breeding seabirds in the eastern Bering Sea and Gulf of Alaska. Marine Ornithology, 31, 167-173. (Pubitemid 39500399)
44. Taylor, B. L., Martinez, M., Gerrodette, T., Barlow, J., & Hrovat, Y. N. (2007). Lessons from monitoring trends in abundance of marine mammals. Marine Mammal Science, 23, 157-175. (Pubitemid 46066561)
45. Thomas, L., & Krebs, C. J. (1997). A review of statistical power analysis software. Bulletin of the Ecological Society of America, 78, 128-139.
46. Williams, J. C., Drummond, B. A., & Buxton, R. T. (2010). Initial effects of the August 2008 volcanic eruption on breeding birds and marine mammals at Kasatochi Island, Alaska. Arctic, Antarctic, and Alpine Research, 42(3), 306-314.