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Refining remote observation techniques to estimate productivity of Black-legged Kittiwakes Rissa tridactyla in Resurrection Bay, Gulf of Alaska
Citation
TANEDO, S.A. & HOLLMÉN, T.E. 2020. Refining remote observation techniques to estimate productivity of Black-legged Kittiwakes Rissa tridactyla in Resurrection Bay, Gulf of Alaska.
Marine Ornithology 48: 61
- 69
http://doi.org/10.5038/2074-1235.48.1.1348
Received 07 March 2019, accepted 06 November 2019
Date Published: 2020/04/15
Date Online: 2019/03/30
Key words: Rissa tridactyla, Black-legged Kittiwake, remote cameras, productivity methods, observation frequency, equipment methods
Abstract
Monitoring the reproductive performance of seabirds can be challenging, as many species nest in remote locations and can be difficult to observe consistently. Using cameras for seabird monitoring in remote locations is an emerging method. Determining the monitoring frequency and type of equipment best suited for individual species, locations, and objectives is an important consideration due to different seabird reproductive strategies. To refine remote observation techniques for cliff-nesting seabirds, we tested a different observation methods on Black-legged Kittiwakes Rissa tridactyla in Resurrection Bay in the northern Gulf of Alaska. Kittiwakes were monitored during the breeding seasons (May-August) of 2013-2015 using remote video and still images. Our first objective was to determine if estimates of productivity changed with observation frequency; we used observations at one-, four-, and seven-day intervals. Our second objective was to assess the appropriate observation frequency for identifying important reproductive events (e.g., phenology). For this objective, we used a finer scale of observation frequency: one- to seven-day intervals. Our third objective was to identify if estimates of individual nest success differed between video and still-image methods. Results indicated that observation frequency significantly influenced estimates of productivity and reproductive phenology. We also found that estimates of individual nest success were comparable between video and still-image methods of monitoring. The results of this study demonstrate that remote camera methods of observing a cliff-nesting seabird were suitable for monitoring reproductive ecology and aspects of ecological interest, and that comparable estimates of productivity can be obtained through both still-image and video methods.
References
ALASKA MARITIME NATIONAL WILDLIFE REFUGE (AMNWR) 2019. Standardized protocols for annual seabird monitoring camps at Aiktak, Buldir, Chowiet, St. George, St. Lazaria, and St. Paul islands, Cape Lisburne, and select intermittent sites in the Alaska Maritime National Wildlife Refuge in 2019. Homer, USA: US Fish and Wildlife Service, Alaska Maritime National Wildlife Refuge.
BUCK, C.L. O'REILLY, K.M. & KILDAW, S.D. 2007. Interannual variability of Black-legged Kittiwake productivity is reflected in baseline plasma corticosterone. General and Comparative Endocrinology 150: 430-436.
BYRD, G.V., SCHMUTZ, J.A. & RENNER, H.M. 2008a. Contrasting population trends of piscivorous seabirds in the Pribilof Islands: A 30-year perspective. Deep-Sea Research Part II 55: 1846-1855.
BYRD, G.V. SYDEMAN, W.J., RENNER, H.M. & MINOBE, S. 2008b. Responses of piscivorous seabirds at the Pribilof Islands to ocean climate. Deep-Sea Research Part II 55: 1856-1867.
COULSON, J.C. & FAIRWEATHER, J.A. 2001. Reduced reproductive performance prior to death in the Black-legged Kittiwake : Senescence or terminal illness? Journal of Avian Biology 32: 146-152.
DANCHIN, É. 1988. Social interactions in kittiwake colonies: Social facilitation and/or favourable social environment. Animal Behaviour 36: 443-451.
LECLAIRE, S., HELFENSTEIN, F., DEGEORGES, A., WAGNER, R.H. & DANCHIN, É. 2010. Family size and sex-specific parental effort in black-legged kittiwakes. Behaviour 147: 1841-1862.
FOURNIER, D.A., SKAUG, H.J., ANCHETA, J. ET AL. 2012. AD Model Builder: Using automatic differentiation for statistical inference of highly parameterized complex nonlinear models. Optimization Methods and Software. 27: 233-249.
FREDERIKSEN, M., ANKER-NILSSEN, T., BEAUGRAND, G. & WANLESS, S. 2013. Climate, copepods and seabirds in the boreal Northeast Atlantic - current state and future outlook. Global Change Biology 19: 364-372.
FREDERIKSEN, M., EDWARDS, M., MAVOR, R.A. & WANLESS, S. 2007. Regional and annual variation in Black-legged Kittiwake breeding productivity is related to sea surface temperature. Marine Ecology Progress Series 350: 137-143.
FREDERIKSEN, M., HARRIS, M.P., DAUNT, F., ROTHERY, P. & WANLESS, S. 2004. Scale-dependent climate signals drive breeding phenology of three seabird species. Global Change Biology 10: 1214-1221.
GALILI, T. 2010. Post hoc analysis for Friedman's Test (R code). Tel Aviv, Isreal: R-statistics blog. [Accessed at http://www.r-statistics.com/2010/02/post-hoc-analysis-for-friedmans-test-r-code/ on 30 May 2019.]
GILL, V.A. & HATCH, S.A. 2002. Components of productivity in Black-legged Kittiwakes Rissa tridactyla: Tesponse to supplemental feeding. Journal of Avian Biology 33: 113-126.
GILL, V.A. HATCH, S.A. & LANCTOT, R.B. 2002. Sensitivity of breeding parameters to food supply in Black-legged Kittiwakes Rissa tridactyla. Ibis 144: 268-283.
HATCH, D.R., SCHWARTZBERG, M. & MUNDY, P.R. 1994. Estimation of Pacific Salmon escapement with a time-lapse video recording technique. North American Journal of Fisheries Management 14: 626-635.
HATCH, S.A. & HATCH, M.A. 1988. Colony attendance and population monitoring of Black-Legged Kittiwakes on the Semidi Islands, Alaska. The Condor 90: 613-620.
HUNT JR., G.L., EPPLEY, Z.A. & SCHNEIDER, D.C. 1986. Reproductive performance of seabirds: The importance of population and colony size. The Auk 103: 306-317.
JODICE, P.G.R., ROBY, D.D., HATCH, S.A., GILL, V.A,. LANCTOT, R.B. & VISSER, G.H. 2002. Does food availability affect energy expenditure rates of nesting seabirds? A supplemental-feeding experiment with Black-legged Kittiwakes (Rissa tridactyla). Canadian Journal of Zoology 80: 214-222.
LORENTZEN, E., CHOQUET, R. & STEEN, H. 2012. Modelling state uncertainty with photo series data for the estimation of breeding success in a cliff-nesting seabird. Journal of Ornithology 152: S477-S483.
MANISCALCO, J.M., PARKER, P. & ATKINSON, S. 2006. Interseasonal and interannual measures of maternal care among individual Steller Sea Lions (Eumetopias jubatus). Journal of Mammalogy 87: 304-311.
MARTÍNEZ, F., RODRÍGUEZ, R.F. & BLANCO, G. 1997. Effects of monitoring frequency on estimates of abundance, age distribution, and productivity of colonial Griffon Vultures. Journal of Field Ornithology 68: 392-399.
MCQUILLEN, H.L. & BREWER, L.W. 2000. Methodological considerations for monitoring wild bird nests using video technology. Journal of Field Ornithology 71: 167-172.
PER HUFFELDT, N. & MERKEL, F.R. 2013. Remote time-lapse photography as a monitoring tool for colonial breeding seabirds: A case study using Thick-billed Murres (Uria lomvia). Waterbirds 36: 330-341.
PIATT, J.F., SYDEMAN, W.J. & WEISE, F. 2007. Seabirds as indicators of marine ecosystems. Marine Ecology Progress Series 352: 199-204.
PIERCE, A.J. & POBPRASERT, K. 2007. A portable system for continuous monitoring of bird nests using digital video recorders. Journal of Field Ornithology 78: 322-328.
R CORE TEAM. 2015. R: A language and environment for statistical computing. Vienna, Austria: R Foundation for Statistical Computing. [Available online at http://www.R-project.org/]
REGEHR, H.M. & MONTEVECCHI, W.A. 1997. Interactive effects of food shortage and predation on breeding failure of Black-legged Kittiwakes: Indirect effects of fisheries activities and implications for indicator species. Marine Ecology Progress Series 155: 249-260.
ROBERTS, B.D. & HATCH, S.A. 1993. Behavioral ecology of Black-Legged Kittiwakes during chick rearing in a failing colony. The Condor 95: 330-342.
SHULTZ, M.T., PIATT, J.F., HARDING, A.M.A., KETTLE, A.B. & VAN PELT, T.I. 2009. Timing of breeding and reproductive performance in murres and kittiwakes reflect mismatched seasonal prey dynamics. Marine Ecology Progress Series 393: 247-258.
SKAUG, H.J., FOURNIER, D.A., NIELSEN, A., MAGNUSSON, A. & BOLKER, B. 2014. Generalized Linear Mixed Models using AD Model Builder. R package version 0.8.0. Gold Coast, Australia: rdrr.io
SOUTHWELL, C. & EMMERSON, L. 2015. Remotely-operating camera network expands Antarctic seabird observations of key breeding parameters for ecosystem monitoring and management. Journal for Nature Conservation 23: 1-8.
SURYAN, R.M. & IRONS, D.B. 2001. Colony and population dynamics of Black-legged Kittiwakes in a heterogeneous environment. The Auk 118: 636-649.
WALSH, P.M., HALLEY, D.J., HARRIS, M.P., DEL NEVO, A., SIM, I.M.W. & TASKER, M.L. 1995. Seabird Monitoring Handbook for Britain and Ireland: A compilation of methods for survey and monitoring of breeding seabirds. Peterborough, UK: JNCC/RSPB/ITE/Seabird Group.
WANLESS, R.M., ANGEL, A., CUTHBERT, R.J., HILTON, G.M. & RYAN, P.G. 2007. Can predation by invasive mice drive seabird extinctions? Biology Letters 3: 241-244.
WARTON, D.I. 2005. Many zeros does not mean zero inflation: Comparing goodness-of-fit of parametric models to multivariate abundance data. Envirometrics 16: 275-289.
ZADOR, S.G., HUNT, G.L., JR., TENBRINK, T. & AYDIN, K. 2013. Combined seabird indices show lagged relationships between environmental conditions and breeding activity. Marine Ecology Progress Series 485: 245-258.
ZADOR, S.G. & PIATT, J.F. 1999. Time-budgets of Common Murres at a declining and increasing colony in Alaska. The Condor 101: 149-152.