Skip to content

Research at St Andrews

Assessing the effectiveness of foraging radius models for seabird distributions using biotelemetry and survey data

Research output: Contribution to journalArticle

DOI

Open Access permissions

Open

Standard

Assessing the effectiveness of foraging radius models for seabird distributions using biotelemetry and survey data. / Critchley, E. J.; Grecian, W. J.; Bennison, A.; Kane, A.; Wischnewski, S.; Canadas, A.; Tierney, D.; Quinn, J. L.; Jessopp, M. J.

In: Ecography, Vol. Early View, 01.11.2019.

Research output: Contribution to journalArticle

Harvard

Critchley, EJ, Grecian, WJ, Bennison, A, Kane, A, Wischnewski, S, Canadas, A, Tierney, D, Quinn, JL & Jessopp, MJ 2019, 'Assessing the effectiveness of foraging radius models for seabird distributions using biotelemetry and survey data', Ecography, vol. Early View. https://doi.org/10.1111/ecog.04653

APA

Critchley, E. J., Grecian, W. J., Bennison, A., Kane, A., Wischnewski, S., Canadas, A., Tierney, D., Quinn, J. L., & Jessopp, M. J. (2019). Assessing the effectiveness of foraging radius models for seabird distributions using biotelemetry and survey data. Ecography, Early View. https://doi.org/10.1111/ecog.04653

Vancouver

Critchley EJ, Grecian WJ, Bennison A, Kane A, Wischnewski S, Canadas A et al. Assessing the effectiveness of foraging radius models for seabird distributions using biotelemetry and survey data. Ecography. 2019 Nov 1;Early View. https://doi.org/10.1111/ecog.04653

Author

Critchley, E. J. ; Grecian, W. J. ; Bennison, A. ; Kane, A. ; Wischnewski, S. ; Canadas, A. ; Tierney, D. ; Quinn, J. L. ; Jessopp, M. J. / Assessing the effectiveness of foraging radius models for seabird distributions using biotelemetry and survey data. In: Ecography. 2019 ; Vol. Early View.

Bibtex - Download

@article{4d1b31c5e0ab49deb4305068c5f88adc,
title = "Assessing the effectiveness of foraging radius models for seabird distributions using biotelemetry and survey data",
abstract = "Relatively simple foraging radius models have the potential to generate predictive distributions for a large number of species rapidly, thus providing a cost‐effective alternative to large‐scale surveys or complex modelling approaches. Their effectiveness, however, remains largely untested. Here we compare foraging radius distribution models for all breeding seabirds in Ireland, to distributions of empirical data collected from tracking studies and aerial surveys. At the local/colony level, we compared foraging radius distributions to GPS tracking data from seabirds with short (Atlantic puffin Fratercula arctica, and razorbill Alca torda) and long (Manx shearwater Puffinus puffinus, and European storm‐petrel Hydrobates pelagicus) foraging ranges. At the regional/national level, we compared foraging radius distributions to extensive aerial surveys conducted over a two‐year period. Foraging radius distributions were significantly positively correlated with tracking data for all species except Manx shearwater. Correlations between foraging radius distributions and aerial survey data were also significant, but generally weaker than those for tracking data. Correlations between foraging radius distributions and aerial survey data were benchmarked against generalised additive models (GAMs) of the aerial survey data that included a range of environmental covariates. While GAM distributions had slightly higher correlations with aerial survey data, the results highlight that the foraging radius approach can be a useful and pragmatic approach for assessing breeding distributions for many seabird species. The approach is likely to have acceptable utility in complex, temporally variable ecosystems and when logistic and financial resources are limited.",
keywords = "Aerial survey, Biotelemetry, Central place foragers, Foraging radius, Seabirds, Species distribution modelling",
author = "Critchley, {E. J.} and Grecian, {W. J.} and A. Bennison and A. Kane and S. Wischnewski and A. Canadas and D. Tierney and Quinn, {J. L.} and Jessopp, {M. J.}",
note = "The design and funding for aerial surveys were provided by Ireland's Dept of Communication, Climate Action and Environment and the Dept of Culture, Heritage and the Gaeltacht, under the ObSERVE Programme established in 2014. We are grateful for the support and assistance of both Depts in undertaking this work. Funding for development of projected distributions was provided by the Petroleum Infrastructure Program (IS013/08), and funding for telemetry work was provided by the Zoological Society of London (Good gifts programme), Petroleum Infrastructure Programme (IS013/08) and the Irish Research Council (GOIPD/2015/81) Ireland's Dept of Agriculture, Fisheries and the Marine.",
year = "2019",
month = nov,
day = "1",
doi = "10.1111/ecog.04653",
language = "English",
volume = "Early View",
journal = "Ecography",
issn = "0906-7590",
publisher = "John Wiley & Sons, Ltd (10.1111)",

}

RIS (suitable for import to EndNote) - Download

TY - JOUR

T1 - Assessing the effectiveness of foraging radius models for seabird distributions using biotelemetry and survey data

AU - Critchley, E. J.

AU - Grecian, W. J.

AU - Bennison, A.

AU - Kane, A.

AU - Wischnewski, S.

AU - Canadas, A.

AU - Tierney, D.

AU - Quinn, J. L.

AU - Jessopp, M. J.

N1 - The design and funding for aerial surveys were provided by Ireland's Dept of Communication, Climate Action and Environment and the Dept of Culture, Heritage and the Gaeltacht, under the ObSERVE Programme established in 2014. We are grateful for the support and assistance of both Depts in undertaking this work. Funding for development of projected distributions was provided by the Petroleum Infrastructure Program (IS013/08), and funding for telemetry work was provided by the Zoological Society of London (Good gifts programme), Petroleum Infrastructure Programme (IS013/08) and the Irish Research Council (GOIPD/2015/81) Ireland's Dept of Agriculture, Fisheries and the Marine.

PY - 2019/11/1

Y1 - 2019/11/1

N2 - Relatively simple foraging radius models have the potential to generate predictive distributions for a large number of species rapidly, thus providing a cost‐effective alternative to large‐scale surveys or complex modelling approaches. Their effectiveness, however, remains largely untested. Here we compare foraging radius distribution models for all breeding seabirds in Ireland, to distributions of empirical data collected from tracking studies and aerial surveys. At the local/colony level, we compared foraging radius distributions to GPS tracking data from seabirds with short (Atlantic puffin Fratercula arctica, and razorbill Alca torda) and long (Manx shearwater Puffinus puffinus, and European storm‐petrel Hydrobates pelagicus) foraging ranges. At the regional/national level, we compared foraging radius distributions to extensive aerial surveys conducted over a two‐year period. Foraging radius distributions were significantly positively correlated with tracking data for all species except Manx shearwater. Correlations between foraging radius distributions and aerial survey data were also significant, but generally weaker than those for tracking data. Correlations between foraging radius distributions and aerial survey data were benchmarked against generalised additive models (GAMs) of the aerial survey data that included a range of environmental covariates. While GAM distributions had slightly higher correlations with aerial survey data, the results highlight that the foraging radius approach can be a useful and pragmatic approach for assessing breeding distributions for many seabird species. The approach is likely to have acceptable utility in complex, temporally variable ecosystems and when logistic and financial resources are limited.

AB - Relatively simple foraging radius models have the potential to generate predictive distributions for a large number of species rapidly, thus providing a cost‐effective alternative to large‐scale surveys or complex modelling approaches. Their effectiveness, however, remains largely untested. Here we compare foraging radius distribution models for all breeding seabirds in Ireland, to distributions of empirical data collected from tracking studies and aerial surveys. At the local/colony level, we compared foraging radius distributions to GPS tracking data from seabirds with short (Atlantic puffin Fratercula arctica, and razorbill Alca torda) and long (Manx shearwater Puffinus puffinus, and European storm‐petrel Hydrobates pelagicus) foraging ranges. At the regional/national level, we compared foraging radius distributions to extensive aerial surveys conducted over a two‐year period. Foraging radius distributions were significantly positively correlated with tracking data for all species except Manx shearwater. Correlations between foraging radius distributions and aerial survey data were also significant, but generally weaker than those for tracking data. Correlations between foraging radius distributions and aerial survey data were benchmarked against generalised additive models (GAMs) of the aerial survey data that included a range of environmental covariates. While GAM distributions had slightly higher correlations with aerial survey data, the results highlight that the foraging radius approach can be a useful and pragmatic approach for assessing breeding distributions for many seabird species. The approach is likely to have acceptable utility in complex, temporally variable ecosystems and when logistic and financial resources are limited.

KW - Aerial survey

KW - Biotelemetry

KW - Central place foragers

KW - Foraging radius

KW - Seabirds

KW - Species distribution modelling

U2 - 10.1111/ecog.04653

DO - 10.1111/ecog.04653

M3 - Article

VL - Early View

JO - Ecography

JF - Ecography

SN - 0906-7590

ER -

Related by author

  1. A continuous-time state-space model for rapid quality control of argos locations from animal-borne tags

    Jonsen, I. D., Patterson, T. A., Costa, D. P., Doherty, P. D., Godley, B. J., Grecian, W. J., Guinet, C., Hoenner, X., Kienle, S. S., Robinson, P. W., Votier, S. C., Whiting, S., Witt, M. J., Hindell, M. A., Harcourt, R. G. & McMahon, C. R., 17 Jul 2020, In : Movement Ecology. 8, 31.

    Research output: Contribution to journalArticle

  2. Ecological segregation of two superabundant, morphologically similar, sister seabird taxa breeding in sympatry

    Jones, C. W., Phillips, R. A., Grecian, W. J. & Ryan, P. G., 3 Mar 2020, In : Marine Biology. 167, 4, 45.

    Research output: Contribution to journalArticle

  3. Author Correction: Important at-sea areas of colonial breeding marine predators on the southern Patagonian Shelf (Scientific Reports, (2019), 9, 1, (8517), 10.1038/s41598-019-44695-1)

    Baylis, A. M. M., Tierney, M., Orben, R. A., Warwick-Evans, V., Wakefield, E., Grecian, W. J., Trathan, P., Reisinger, R., Ratcliffe, N., Croxall, J., Campioni, L., Catry, P., Crofts, S., Dee Boersma, P., Galimberti, F., Granadeiro, J. P., Handley, J., Hayes, S., Hedd, A., Masello, J. F. & 7 others, Montevecchi, W. A., Pütz, K., Quillfeldt, P., Rebstock, G. A., Sanvito, S., Staniland, I. J. & Brickle, P., 1 Dec 2019, In : Scientific Reports. 9, 17452.

    Research output: Contribution to journalComment/debate

  4. Sex differences in migration and demography of a wide-ranging seabird, the northern gannet

    Deakin, Z., Hamer, K. C., Sherley, R. B., Bearhop, S., Bodey, T. W., Clark, B. L., Grecian, W. J., Gummery, M., Lane, J., Morgan, G., Morgan, L., Phillips, R. A., Wakefield, E. D. & Votier, S. C., 18 Jul 2019, In : Marine Ecology Progress Series. 622, p. 191-201 11 p.

    Research output: Contribution to journalArticle

  5. Individual spatial consistency and dietary flexibility in the migratory behavior of northern gannets wintering in the Northeast Atlantic

    Grecian, W. J., Williams, H. J., Votier, S. C., Bearhop, S., Cleasby, I. R., Grémillet, D., Hamer, K. C., Le Nuz, M., Lescroël, A., Newton, J., Patrick, S. C., Phillips, R. A., Wakefield, E. D. & Bodey, T. W., 12 Jun 2019, In : Frontiers in Ecology and Evolution. 7, 11 p., 214.

    Research output: Contribution to journalArticle

Related by journal

  1. A standard protocol for reporting species distribution models

    Zurell, D., Franklin, J., König, C., Bouchet, P. J., Dormann, C. F., Elith, J., Fandos, G., Feng, X., Guillera-Arroita, G., Guisan, A., Lahoz-Monfort, J. J., Leitão, P. J., Park, D. S., Peterson, A. T., Rapacciuolo, G., Schmatz, D. R., Schröder, B., Serra-Diaz, J. M., Thuiller, W., Yates, K. L. & 2 others, Zimmermann, N. E. & Merow, C., 1 Jun 2020, In : Ecography. Early View, 17 p.

    Research output: Contribution to journalArticle

  2. Using density surface models to estimate spatio-temporal changes in population densities and trend

    Camp, R. J., Miller, D. L., Thomas, L., Buckland, S. T. & Kendall, S. J., Jul 2020, In : Ecography. 43, 7, p. 1079-1089 11 p.

    Research output: Contribution to journalArticle

  3. Understanding species distribution in dynamic populations: a new approach using spatio‐temporal point process models

    Soriano-Redondo, A., Jones-Todd, C. M., Bearhop, S., Hilton, G. M., Lock, L., Stanbury, A., Votier, S. C. & Illian, J. B., 4 Mar 2019, In : Ecography. Early View

    Research output: Contribution to journalArticle

  4. β-diversity scaling patterns are consistent across metrics and taxa

    Antão, L. H., McGill, B., Magurran, A. E., Soares, A. & Dornelas, M., May 2019, In : Ecography. 42, 5, p. 1012-1023

    Research output: Contribution to journalArticle

Related by journal

  1. Ecography (Journal)

    Maria Dornelas (Member of editorial board)

    20142015

    Activity: Publication peer-review and editorial work typesEditor of research journal

ID: 263350485

Top