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Finding colonies of Black-headed Gulls Chroicocephalus ridibundus using Google Earth.
Citation
VALLE, R.G., CORREGIDOR-CASTRO, A. & SCARTON, F. 2024. Finding colonies of Black-headed Gulls Chroicocephalus ridibundus using Google Earth. . Marine Ornithology 52: 105 - 111
Received 02 January 2023, accepted 07 August 2023
Date Published: 2024/04/15
Date Online: 2024/04/09
Key words: Black-headed Gull, breeding, Google Earth, Chroicocephalus ridibundus, satellite imagery, Lagoon of Venice
Abstract
We explore the possibility of identifying Black-headed Gull Chroicocephalus ridibundus colonies in the saltmarshes of the Lagoon of Venice, Italy, using Google Earth satellite images. One reproductive season was considered (June 2017), based on the images available on Google Earth. This species builds nests clustered around tidal pools and tidal creeks, providing a dark background to reveal the white gulls. Images of the southern part of the lagoon (excluding fish farms) were analyzed by dividing it into sectors (n = 403) using the Google Earth grid at an elevation of 100 m above ground level. The results of the satellite count were compared with field data collected in the same season. Image analysis revealed five colonies, with excellent sensitivity (100%) but only good specificity (88%), due to the presence of numerous clear areolae falling within the spectral range of nests; these consisted of plastic litter and dry, stranded vegetation. Overall, our results indicate that Black-headed Gull colonies can be found in marsh-island habitat using Google Earth. While this approach presents sub-optimal specificity due to both the abundance of whitish debris and low image resolution, future developments in software capabilities hold the potential to overcome these limitations and enhance the accuracy of the proposed approach.
References
AFÁN, I., MÁÑEZ, M. & DÍAZ-DELGADO, R. 2018. Drone monitoring of breeding waterbird populations: The case of the Glossy Ibis. Drones 2: 42.
ALLOUCHE, O., TSOAR, A. & KADMON, R. 2006. Assessing the accuracy of species distribution models: Prevalence, kappa and the true skill statistic (TSS). Journal of Applied Ecology 43: 1223-1232.
CHABOT, D. & FRANCIS, C.M. 2016. Computer-automated bird detection and counts in high-resolution aerial images: A review. Journal of Field Ornithology 87: 343-359.
COULSON, J.C. 2016. A review of philopatry in seabirds and comparisons with other waterbird species. Waterbirds 39: 229-240.
DAY, J.W., IBÁÑEZ, C., PONT, D. ET AL. 2019. Status and sustainability of Mediterranean deltas: The case of the Ebro, Rhône, and Po Deltas and Venice Lagoon. In: WOLANSKI, E., DAY, J.W., ELLIOTT, M. & RAMACHANDRAN, R. (Eds). Coasts and Estuaries: The Future. Amsterdam, The Netherlands: Elsevier.
DE LEIJA, A.C., MIRZADI, R.E., RANDALL, J.M., PORTMANN, M.D., MUELLER, E.J. & GAWLIK, D.E. 2023. A meta-analysis of disturbance caused by drones on nesting birds. Journal of Field Ornithology 94: 3.
DESCAMPS, S., BÉCHET, A., DESCOMBES, X., ARNAUD, A. & ZERUBI, J. 2011. An automatic counter for aerial images of aggregations of large birds. Bird Study 58: 302-308.
ELLIS-FELEGE, S.N., STECHMANN, T., HERVEY, S. FELEGE, C.J., ROCKWELL, R.F. & BARNAS, A.F. 2021. Nesting Common Eiders (Somateria mollissima) show little behavioral response to fixed-wing drone surveys. Drone Systems and Applications 10: 1-14.
FLEGG, J.J.M. & COX, C.J. 1972. Movement of Black-headed Gulls from colonies in England and Wales. Bird Study 19: 228-240.
FREDERICK, P.C., TOWLES, T., SAWICKI, R.J. & BANCROFT, G.T. 1996. Comparison of aerial and ground techniques for discovery and census of wading bird (Ciconiiformes) nesting colonies. The Condor 98: 837-841.
FRETWELL, P.T., SCOFIELD, P. & PHILLIPS, R.A. 2017. Using super-high resolution satellite imagery to census threatened albatrosses. Ibis 159: 481-490.
FRETWELL, P.T. & TRATHAN, P.N. 2009. Penguins from space: Faecal stains reveal the location of Emperor Penguin colonies. Global Ecology and Biogeography 18: 543-552.
GELDART, E.A., BARNAS, A.F., SEMENIUK, C., GILCHRIST, H.G., HARRIS, C.M. & LOVE, O.P. 2022. A colonial-nesting seabird shows no heart-rate response to drone-based population surveys. Scientific Reports 12: 18804.
HUGHES, B.J., MARTIN, G.R. & REYNOLDS, S.J. 2011. The use of Google EarthTM satellite imagery to detect the nests of Masked Boobies Sula dactylatra. Wildlife Biology 17: 210-216
IBÁÑEZ-ÁLAMO, J.D., SANLLORENTE, O. & SOLER, M. 2012. The impact of researcher disturbance on nest predation rates: A meta-analysis. Ibis 154: 5-14.
MARCHOWSKI, D. 2021. Drones, automatic counting tools, and artificial neural networks in wildlife population censusing. Ecology and Evolution 11: 16214-16227.
MAYFIELD, H.F. 1979. The amateur in ornithology. The Auk 96: 168-171.
REXER-HUBER, K., WALKER, K. J., ELLIOTT, G.P. ET AL. 2020. Population trends of light-mantled Sooty Albatross (Phoebetria palpebrata) at Adams Island and trial of ground, boat, and aerial methods for population estimates. Notornis 67: 341-355.
RÜMMLER, M.C., ESEFELD, J., HALLABRIN, M.T., PFEIFER, C. & MUSTAFA, O. 2021. Emperor Penguin reactions to UAVs: First observations and comparisons with effects of human approach. Remote Sensing Applications: Society and Environment 23: 100545.
SASSE, D.B. 2003. Job-related mortality of wildlife workers in the United States, 1937-2000. Wildlife Society Bulletin 31: 1015-1020.
SCARTON, F. & VALLE, R. 2015. Long-term trends (1989-2013) in the seabird community breeding in the lagoon of Venice (Italy). Rivista Italiana di Ornitologia 85: 19-28.
SCARTON, F. & VALLE, R.G. 2021. Uccelli acquatici nidificanti nella laguna aperta di Venezia: Stime di popolazione per gli anni 2016-2018 e andamenti di medio periodo [in Italian]. Lavori della Società Veneziana di Scienze Naturali 46: 5-16.
SCARTON, F. & VALLE, R.G. 2022. Comparison of drone vs. ground survey monitoring of hatching success in the Black-headed Gull (Chroicocephalus ridibundus). Ornithology Research 30: 271-280. doi:10.1007/s43388-022-00112-2
SCARTON, F., VALLE, R. & BORELLA, S. 1994. Some comparative aspects of the breeding biology of Black-headed Gull (Larus ridibundus), Common Tern (Sterna hirundo) and Little Tern (Sterna albifrons) in the Lagoon of Venice, NE Italy. Avocetta 18: 119-123.
SCHWALLER, M.R., LYNCH, H.J., TARROUX, A. & PREHN, B. 2018. A continent-wide search for Antarctic Petrel breeding sites with satellite remote sensing. Remote Sensing of Environment 210: 444-451.
SCHWALLER, M.R., SOUTHWELL, C.J. & EMMERSON, L.M. 2013. Continental-scale mapping of Adélie Penguin colonies from Landsat imagery. Remote Sensing of Environment 139: 353-364.
SOUTHWELL, C., EMMERSON, L., TAKAHASHI, A., ET AL. 2017. Recent studies overestimate colonization and extinction events for Adelie Penguin breeding colonies. The Auk 134: 39-50.
TAYLOR, R.H. & WILSON, P.R. 1990. Recent increase and southern expansion of Adelie Penguin populations in the Ross Sea, Antarctica, related to climatic warming. New Zealand Journal of Ecology 14: 25-29.
TAYLOR, R.H., WILSON, P.R. & THOMAS, B.W. 1990. Status and trends of Adélie Penguin populations in the Ross Sea region. Polar Record 26: 293-304.
VALLE, R.G. 2022. Rapid drone semi-automated counts of wintering Greater Flamingos (Phoenicopterus roseus) as a tool for amateur researchers. Ibis 164: 320-328. doi: 10.1111/ibi.12993
VALLE, R.G., BAALOUDJ, A. & SCARTON, F. 2021. A new method for surveying Purple Heron Ardea purpurea colonies using Google Earth. Bird Study 68: 426-430.
VALLE, R.G., BAALOUDJ, A. & VERZA, E. 2022. Counting breeding Mute Swans using Google Earth imagery. British Birds 115: 95-99.
YU, L. & GONG P. 2012. Google Earth as a virtual globe tool for Earth science applications at the global scale: Progress and perspectives. International Journal of Remote Sensing 33: 3966-3986.
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