The challenge of habitat modelling for threatened low density species using heterogeneous data: The case of Cuvier's beaked whales in the Mediterranean. (February 2018)
- Record Type:
- Journal Article
- Title:
- The challenge of habitat modelling for threatened low density species using heterogeneous data: The case of Cuvier's beaked whales in the Mediterranean. (February 2018)
- Main Title:
- The challenge of habitat modelling for threatened low density species using heterogeneous data: The case of Cuvier's beaked whales in the Mediterranean
- Authors:
- 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.
… (more) - Abstract:
- Highlights: First novel approach for analysing very heterogeneous data of a threatened low-density species. The unorthodox modelling approach adopted is comparable to more standard approaches. Total abundance estimate: 5800 animals in the whole Mediterranean (CV = 24.0%, 95% CI: 4807–7254). Hot spots: Ligurian, Alborán, N-Ionian, S-Adriatic and N-Tyrrhenian Seas and Hellenic Trench. The results will contribute an IUCN Red List upgrading of the Mediterranean subpopulation. 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 distanceHighlights: First novel approach for analysing very heterogeneous data of a threatened low-density species. The unorthodox modelling approach adopted is comparable to more standard approaches. Total abundance estimate: 5800 animals in the whole Mediterranean (CV = 24.0%, 95% CI: 4807–7254). Hot spots: Ligurian, Alborán, N-Ionian, S-Adriatic and N-Tyrrhenian Seas and Hellenic Trench. The results will contribute an IUCN Red List upgrading of the Mediterranean subpopulation. 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 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. … (more)
- Is Part Of:
- Ecological indicators. Volume 85(2018)
- Journal:
- Ecological indicators
- Issue:
- Volume 85(2018)
- Issue Display:
- Volume 85, Issue 2018 (2018)
- Year:
- 2018
- Volume:
- 85
- Issue:
- 2018
- Issue Sort Value:
- 2018-0085-2018-0000
- Page Start:
- 128
- Page End:
- 136
- Publication Date:
- 2018-02
- Subjects:
- Cuvier's beaked whales -- Abundance -- Distribution -- Conservation -- Density surface modelling -- Correction factor -- Mediterranean sea
Environmental monitoring -- Periodicals
Environmental management -- Periodicals
Environmental impact analysis -- Periodicals
Environmental risk assessment -- Periodicals
Sustainable development -- Periodicals
333.71405 - Journal URLs:
- http://www.sciencedirect.com/science/journal/1470160X/ ↗
http://www.elsevier.com/journals ↗ - DOI:
- 10.1016/j.ecolind.2017.10.021 ↗
- Languages:
- English
- ISSNs:
- 1470-160X
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 3648.877200
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 20894.xml