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Global analysis of cetacean line-transect surveys: detecting trends in cetacean density

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Global analysis of cetacean line-transect surveys : detecting trends in cetacean density. / Jewell, Rebecca Lucy; Thomas, Len; Harris, Catriona M; Kaschner, Kristin ; Wiff, Rodrigo Alexis; Hammond, Philip Steven; Quick, Nicola Jane.

In: Marine Ecology Progress Series, Vol. 453, 07.05.2012, p. 227-240.

Research output: Contribution to journalArticle

Harvard

Jewell, RL, Thomas, L, Harris, CM, Kaschner, K, Wiff, RA, Hammond, PS & Quick, NJ 2012, 'Global analysis of cetacean line-transect surveys: detecting trends in cetacean density' Marine Ecology Progress Series, vol. 453, pp. 227-240. https://doi.org/10.3354/meps09636

APA

Jewell, R. L., Thomas, L., Harris, C. M., Kaschner, K., Wiff, R. A., Hammond, P. S., & Quick, N. J. (2012). Global analysis of cetacean line-transect surveys: detecting trends in cetacean density. Marine Ecology Progress Series, 453, 227-240. https://doi.org/10.3354/meps09636

Vancouver

Jewell RL, Thomas L, Harris CM, Kaschner K, Wiff RA, Hammond PS et al. Global analysis of cetacean line-transect surveys: detecting trends in cetacean density. Marine Ecology Progress Series. 2012 May 7;453:227-240. https://doi.org/10.3354/meps09636

Author

Jewell, Rebecca Lucy ; Thomas, Len ; Harris, Catriona M ; Kaschner, Kristin ; Wiff, Rodrigo Alexis ; Hammond, Philip Steven ; Quick, Nicola Jane. / Global analysis of cetacean line-transect surveys : detecting trends in cetacean density. In: Marine Ecology Progress Series. 2012 ; Vol. 453. pp. 227-240.

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@article{8a304fe20a6946ec9cb9720f09167780,
title = "Global analysis of cetacean line-transect surveys: detecting trends in cetacean density",
abstract = "Measuring the effect of anthropogenic change on cetacean populations is hampered by our lack of understanding about population status and a lack of power in the available data to detect trends in abundance. Often long-term data from repeated surveys are lacking, and alternative approaches to trend detection must be considered. We utilised an existing database of line transectsurvey records to determine whether temporal trends could be detected when survey effort from around the world was combined. We extracted density estimates for 25 species and fitted generalised additive models (GAMs) to investigate whether taxonomic, spatial or methodological differences among systematic line-transect surveys affect estimates of density and whetherwe can identify temporal trends in the data once these factors are accounted for. The selected GAM consisted of 2 parts: an intercept term that was a complex interaction of taxonomic, spatial and methodological factors and a smooth temporal term with trends varying by family and ocean basin. We discuss the trends found and assess the suitability of published density estimates fordetecting temporal trends using retrospective power analysis. In conclusion, increasing sample size through combining survey effort across a global scale does not necessarily result in sufficient power to detect trends because of the extent of variability across surveys, species and oceans. Instead, results from repeated dedicated surveys designed specifically for the species and geographical region of interest should be used to inform conservation and management.",
keywords = "Marine mammal density, Population trends, Generalised additive modelling, Power analysis, Monitoring",
author = "Jewell, {Rebecca Lucy} and Len Thomas and Harris, {Catriona M} and Kristin Kaschner and Wiff, {Rodrigo Alexis} and Hammond, {Philip Steven} and Quick, {Nicola Jane}",
year = "2012",
month = "5",
day = "7",
doi = "10.3354/meps09636",
language = "English",
volume = "453",
pages = "227--240",
journal = "Marine Ecology Progress Series",
issn = "0171-8630",
publisher = "Inter-Research",

}

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TY - JOUR

T1 - Global analysis of cetacean line-transect surveys

T2 - Marine Ecology Progress Series

AU - Jewell, Rebecca Lucy

AU - Thomas, Len

AU - Harris, Catriona M

AU - Kaschner, Kristin

AU - Wiff, Rodrigo Alexis

AU - Hammond, Philip Steven

AU - Quick, Nicola Jane

PY - 2012/5/7

Y1 - 2012/5/7

N2 - Measuring the effect of anthropogenic change on cetacean populations is hampered by our lack of understanding about population status and a lack of power in the available data to detect trends in abundance. Often long-term data from repeated surveys are lacking, and alternative approaches to trend detection must be considered. We utilised an existing database of line transectsurvey records to determine whether temporal trends could be detected when survey effort from around the world was combined. We extracted density estimates for 25 species and fitted generalised additive models (GAMs) to investigate whether taxonomic, spatial or methodological differences among systematic line-transect surveys affect estimates of density and whetherwe can identify temporal trends in the data once these factors are accounted for. The selected GAM consisted of 2 parts: an intercept term that was a complex interaction of taxonomic, spatial and methodological factors and a smooth temporal term with trends varying by family and ocean basin. We discuss the trends found and assess the suitability of published density estimates fordetecting temporal trends using retrospective power analysis. In conclusion, increasing sample size through combining survey effort across a global scale does not necessarily result in sufficient power to detect trends because of the extent of variability across surveys, species and oceans. Instead, results from repeated dedicated surveys designed specifically for the species and geographical region of interest should be used to inform conservation and management.

AB - Measuring the effect of anthropogenic change on cetacean populations is hampered by our lack of understanding about population status and a lack of power in the available data to detect trends in abundance. Often long-term data from repeated surveys are lacking, and alternative approaches to trend detection must be considered. We utilised an existing database of line transectsurvey records to determine whether temporal trends could be detected when survey effort from around the world was combined. We extracted density estimates for 25 species and fitted generalised additive models (GAMs) to investigate whether taxonomic, spatial or methodological differences among systematic line-transect surveys affect estimates of density and whetherwe can identify temporal trends in the data once these factors are accounted for. The selected GAM consisted of 2 parts: an intercept term that was a complex interaction of taxonomic, spatial and methodological factors and a smooth temporal term with trends varying by family and ocean basin. We discuss the trends found and assess the suitability of published density estimates fordetecting temporal trends using retrospective power analysis. In conclusion, increasing sample size through combining survey effort across a global scale does not necessarily result in sufficient power to detect trends because of the extent of variability across surveys, species and oceans. Instead, results from repeated dedicated surveys designed specifically for the species and geographical region of interest should be used to inform conservation and management.

KW - Marine mammal density

KW - Population trends

KW - Generalised additive modelling

KW - Power analysis

KW - Monitoring

U2 - 10.3354/meps09636

DO - 10.3354/meps09636

M3 - Article

VL - 453

SP - 227

EP - 240

JO - Marine Ecology Progress Series

JF - Marine Ecology Progress Series

SN - 0171-8630

ER -

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ID: 21183913