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The challenge of habitat modelling for threatened low density species using heterogeneous data: the case of Cuvier’s beaked whales in the Mediterranean

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The challenge of habitat modelling for threatened low density species using heterogeneous data : the case of Cuvier’s beaked whales in the Mediterranean. / Cañadas, A.; Aguilar de Soto, N.; Aissi, M.; Arcangeli, A.; Azzolin, M.; B-Nagy, A.; Bearzi, G.; Campana, I.; Chicote, C.; Cotte, C.; Crosti, R.; David, L.; Di Natale, A.; Fortuna, C.; Frantzis, A.; Garcia, P.; Gazo, M.; Gutierrez-Xarxa, R.; Holcer, D.; Laran, S.; Lauriano, G.; Lewis, T.; Moulins, A.; Mussi, B.; Notarbartolo di Sciara, G.; Panigada, S.; Pastor, X.; Politi, E.; Pulcini, M.; Raga, J.A.; Rendell, L.; Rosso, M.; Tepsich, P.; Tomás, J.; Tringali, M.; Roger, Th.

In: Ecological Indicators, Vol. 85, No. Supplement C, 02.2018, p. 128-136.

Research output: Contribution to journalArticle

Harvard

Cañadas, A, Aguilar de Soto, N, Aissi, M, Arcangeli, A, Azzolin, M, B-Nagy, A, Bearzi, G, Campana, I, Chicote, C, Cotte, C, Crosti, R, David, L, Di Natale, A, Fortuna, C, Frantzis, A, Garcia, P, Gazo, M, Gutierrez-Xarxa, R, Holcer, D, Laran, S, Lauriano, G, Lewis, T, Moulins, A, Mussi, B, Notarbartolo di Sciara, G, Panigada, S, Pastor, X, Politi, E, Pulcini, M, Raga, JA, Rendell, L, Rosso, M, Tepsich, P, Tomás, J, Tringali, M & Roger, T 2018, 'The challenge of habitat modelling for threatened low density species using heterogeneous data: the case of Cuvier’s beaked whales in the Mediterranean' Ecological Indicators, vol. 85, no. Supplement C, pp. 128-136. https://doi.org/10.1016/j.ecolind.2017.10.021

APA

Cañadas, A., Aguilar de Soto, N., Aissi, M., Arcangeli, A., Azzolin, M., B-Nagy, A., ... Roger, T. (2018). The challenge of habitat modelling for threatened low density species using heterogeneous data: the case of Cuvier’s beaked whales in the Mediterranean. Ecological Indicators, 85(Supplement C), 128-136. https://doi.org/10.1016/j.ecolind.2017.10.021

Vancouver

Cañadas A, Aguilar de Soto N, Aissi M, Arcangeli A, Azzolin M, B-Nagy A et al. The challenge of habitat modelling for threatened low density species using heterogeneous data: the case of Cuvier’s beaked whales in the Mediterranean. Ecological Indicators. 2018 Feb;85(Supplement C):128-136. https://doi.org/10.1016/j.ecolind.2017.10.021

Author

Cañadas, A. ; Aguilar de Soto, N. ; Aissi, M. ; Arcangeli, A. ; Azzolin, M. ; B-Nagy, A. ; Bearzi, G. ; Campana, I. ; Chicote, C. ; Cotte, C. ; Crosti, R. ; David, L. ; Di Natale, A. ; Fortuna, C. ; Frantzis, A. ; Garcia, P. ; Gazo, M. ; Gutierrez-Xarxa, R. ; Holcer, D. ; Laran, S. ; Lauriano, G. ; Lewis, T. ; Moulins, A. ; Mussi, B. ; Notarbartolo di Sciara, G. ; Panigada, S. ; Pastor, X. ; Politi, E. ; Pulcini, M. ; Raga, J.A. ; Rendell, L. ; Rosso, M. ; Tepsich, P. ; Tomás, J. ; Tringali, M. ; Roger, Th. / The challenge of habitat modelling for threatened low density species using heterogeneous data : the case of Cuvier’s beaked whales in the Mediterranean. In: Ecological Indicators. 2018 ; Vol. 85, No. Supplement C. pp. 128-136.

Bibtex - Download

@article{d47f7293a2af42cfa6be85a73604faf6,
title = "The challenge of habitat modelling for threatened low density species using heterogeneous data: the case of Cuvier’s beaked whales in the Mediterranean",
abstract = "The Mediterranean population of Cuvieŕs beaked whale (Ziphius cavirostris), a deep-diving cetacean, is genetically distinct from the Atlantic, and subject to a number of conservation threats, in particular underwater noise. It is also cryptic at the surface and relatively rare, so obtain robust knowledge on distribution and abundance presents unique challenges. Here we use multiplatform and multiyear survey data to analyse the distribution and abundance of this species across the Mediterranean Sea. We use a novel approach combining heterogeneous data gathered with different methods to obtain a single density index for the region. A total of 594,996 km of survey effort and 507 sightings of Cuvier’s beaked whales, from 1990 to 2016, were pooled together from 24 different sources. Data were divided into twelve major groups according to platform height, speed and sea state. Both availability bias and effective strip width were calculated from the sightings with available perpendicular distance data. This was extrapolated to the rest of the sightings for each of the twelve groups. Habitat preference models were fitted into a GAM framework using counts of groups as a response variable with the effective searched area as an offset. Depth, coefficient of variation of depth, longitude and marine regions (as defined by the International Hydrographic Organization) were identified as important predictors. Predicted abundance of groups per grid cell were multiplied by mean group size to obtain a prediction of the abundance of animals. A total abundance of 5799 (CV = 24.0{\%}) animals was estimated for the whole Mediterranean basin. The Albor{\'a}n Sea, Ligurian Sea, Hellenic Trench, southern Adriatic Sea and eastern Ionian Sea were identified as being the main hot spots in the region. It is important to urge that the relevant stakeholders incorporate this information in the planning and execution of high risk activities in these high-risk areas.",
keywords = "Cuvier’s beaked whales, Abundance, Distribution, Conservation, Density surface modelling, Correction factor, Mediterranean sea",
author = "A. Ca{\~n}adas and {Aguilar de Soto}, N. and M. Aissi and A. Arcangeli and M. Azzolin and A. B-Nagy and G. Bearzi and I. Campana and C. Chicote and C. Cotte and R. Crosti and L. David and {Di Natale}, A. and C. Fortuna and A. Frantzis and P. Garcia and M. Gazo and R. Gutierrez-Xarxa and D. Holcer and S. Laran and G. Lauriano and T. Lewis and A. Moulins and B. Mussi and {Notarbartolo di Sciara}, G. and S. Panigada and X. Pastor and E. Politi and M. Pulcini and J.A. Raga and L. Rendell and M. Rosso and P. Tepsich and J. Tom{\'a}s and M. Tringali and Th. Roger",
note = "We are grateful to the ACCOBAMS Secretariat for their support in this work, including a small grant for the analysis.",
year = "2018",
month = "2",
doi = "10.1016/j.ecolind.2017.10.021",
language = "English",
volume = "85",
pages = "128--136",
journal = "Ecological Indicators",
issn = "1470-160X",
publisher = "Elsevier",
number = "Supplement C",

}

RIS (suitable for import to EndNote) - Download

TY - JOUR

T1 - The challenge of habitat modelling for threatened low density species using heterogeneous data

T2 - Ecological Indicators

AU - Cañadas, A.

AU - Aguilar de Soto, N.

AU - Aissi, M.

AU - Arcangeli, A.

AU - Azzolin, M.

AU - B-Nagy, A.

AU - Bearzi, G.

AU - Campana, I.

AU - Chicote, C.

AU - Cotte, C.

AU - Crosti, R.

AU - David, L.

AU - Di Natale, A.

AU - Fortuna, C.

AU - Frantzis, A.

AU - Garcia, P.

AU - Gazo, M.

AU - Gutierrez-Xarxa, R.

AU - Holcer, D.

AU - Laran, S.

AU - Lauriano, G.

AU - Lewis, T.

AU - Moulins, A.

AU - Mussi, B.

AU - Notarbartolo di Sciara, G.

AU - Panigada, S.

AU - Pastor, X.

AU - Politi, E.

AU - Pulcini, M.

AU - Raga, J.A.

AU - Rendell, L.

AU - Rosso, M.

AU - Tepsich, P.

AU - Tomás, J.

AU - Tringali, M.

AU - Roger, Th.

N1 - We are grateful to the ACCOBAMS Secretariat for their support in this work, including a small grant for the analysis.

PY - 2018/2

Y1 - 2018/2

N2 - The Mediterranean population of Cuvieŕs beaked whale (Ziphius cavirostris), a deep-diving cetacean, is genetically distinct from the Atlantic, and subject to a number of conservation threats, in particular underwater noise. It is also cryptic at the surface and relatively rare, so obtain robust knowledge on distribution and abundance presents unique challenges. Here we use multiplatform and multiyear survey data to analyse the distribution and abundance of this species across the Mediterranean Sea. We use a novel approach combining heterogeneous data gathered with different methods to obtain a single density index for the region. A total of 594,996 km of survey effort and 507 sightings of Cuvier’s beaked whales, from 1990 to 2016, were pooled together from 24 different sources. Data were divided into twelve major groups according to platform height, speed and sea state. Both availability bias and effective strip width were calculated from the sightings with available perpendicular distance data. This was extrapolated to the rest of the sightings for each of the twelve groups. Habitat preference models were fitted into a GAM framework using counts of groups as a response variable with the effective searched area as an offset. Depth, coefficient of variation of depth, longitude and marine regions (as defined by the International Hydrographic Organization) were identified as important predictors. Predicted abundance of groups per grid cell were multiplied by mean group size to obtain a prediction of the abundance of animals. A total abundance of 5799 (CV = 24.0%) animals was estimated for the whole Mediterranean basin. The Alborán Sea, Ligurian Sea, Hellenic Trench, southern Adriatic Sea and eastern Ionian Sea were identified as being the main hot spots in the region. It is important to urge that the relevant stakeholders incorporate this information in the planning and execution of high risk activities in these high-risk areas.

AB - The Mediterranean population of Cuvieŕs beaked whale (Ziphius cavirostris), a deep-diving cetacean, is genetically distinct from the Atlantic, and subject to a number of conservation threats, in particular underwater noise. It is also cryptic at the surface and relatively rare, so obtain robust knowledge on distribution and abundance presents unique challenges. Here we use multiplatform and multiyear survey data to analyse the distribution and abundance of this species across the Mediterranean Sea. We use a novel approach combining heterogeneous data gathered with different methods to obtain a single density index for the region. A total of 594,996 km of survey effort and 507 sightings of Cuvier’s beaked whales, from 1990 to 2016, were pooled together from 24 different sources. Data were divided into twelve major groups according to platform height, speed and sea state. Both availability bias and effective strip width were calculated from the sightings with available perpendicular distance data. This was extrapolated to the rest of the sightings for each of the twelve groups. Habitat preference models were fitted into a GAM framework using counts of groups as a response variable with the effective searched area as an offset. Depth, coefficient of variation of depth, longitude and marine regions (as defined by the International Hydrographic Organization) were identified as important predictors. Predicted abundance of groups per grid cell were multiplied by mean group size to obtain a prediction of the abundance of animals. A total abundance of 5799 (CV = 24.0%) animals was estimated for the whole Mediterranean basin. The Alborán Sea, Ligurian Sea, Hellenic Trench, southern Adriatic Sea and eastern Ionian Sea were identified as being the main hot spots in the region. It is important to urge that the relevant stakeholders incorporate this information in the planning and execution of high risk activities in these high-risk areas.

KW - Cuvier’s beaked whales

KW - Abundance

KW - Distribution

KW - Conservation

KW - Density surface modelling

KW - Correction factor

KW - Mediterranean sea

U2 - 10.1016/j.ecolind.2017.10.021

DO - 10.1016/j.ecolind.2017.10.021

M3 - Article

VL - 85

SP - 128

EP - 136

JO - Ecological Indicators

JF - Ecological Indicators

SN - 1470-160X

IS - Supplement C

ER -

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ID: 251505797