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Temperature-based summer habitat partitioning between white-beaked and common dolphins around the United Kingdom and Republic of Ireland

Published online by Cambridge University Press:  17 March 2008

Colin D. MacLeod*
Affiliation:
School of Biological Sciences (Zoology), University of Aberdeen, Tillydrone Avenue, Aberdeen, AB24 2TZ, UK
Caroline R. Weir
Affiliation:
School of Biological Sciences (Zoology), University of Aberdeen, Tillydrone Avenue, Aberdeen, AB24 2TZ, UK Ketos Ecology, 4 Compton Road, West Charleton, Kingsbridge, Devon, TQ7 2BP, UK
M. Begoña Santos
Affiliation:
School of Biological Sciences (Zoology), University of Aberdeen, Tillydrone Avenue, Aberdeen, AB24 2TZ, UK
Timothy E. Dunn
Affiliation:
Joint Nature Conservation Committee, Dunnet House, 7 Thistle Place, Aberdeen, AB10 1UZ, UK
*
Correspondence should be addressed to: Colin D. MacLeod, School of Biological Sciences (Zoology), University of Aberdeen, Tillydrone Avenue, Aberdeen, AB24 2TZ, UK Email: c.d.macleod@abdn.co.uk
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Abstract

The white-beaked dolphin (Lagenorhynchus albirostris) and short-beaked common dolphin (Delphinus delphis) are two of the most abundant delphinid species in shelf waters around the United Kingdom (UK) and Republic of Ireland (ROI) in the summer season (May–October). As these two species have similar habitat preferences and diets, it might be expected that they would partition their otherwise shared niche to reduce the potential for competition at this time of year. This study used 569 sightings of the two species, collected from shelf waters (<200 m water depth) in the summer season between 1983 and 1998, to investigate whether there is evidence of widespread niche partitioning based on water temperature in this area. Below 13°C, white-beaked dolphins were dominant with 96% of sightings comprising this species. In contrast, above 14°C, 86% of sightings comprised common dolphins. A classification tree analysis found that of the four eco-geographical variables analysed (water depth, seabed slope, seabed aspect and sea surface temperature), temperature was the most important variable for separating the occurrence of the two species. These results are consistent with widespread temperature-based niche partitioning between white-beaked and common dolphins in shelf waters around the UK and ROI. As temperature is important in determining the relative distribution of these species, the range of the white-beaked dolphin might be expected to contract in response to increasing sea temperature resulting from global climate change, while that of the common dolphin may expand.

Information

Type
Research Article
Copyright
Copyright © Marine Biological Association of the United Kingdom 2008
Figure 0

Fig. 1. Total effort by Seabirds At Sea Team (SAST) surveys in shelf waters per 1/4 International Council for the Exploration of the Sea rectangle (15′ latitude × 30′  longitude) for summer months between 1983 and 1998. Smallest circles, 0–100 km2 surveyed; largest circles, >1000 km2 surveyed; grey shading, shelf waters of less than 200 m water depth. NOTE: SAST survey efforts in non-shelf waters are not shown on this figure.

Figure 1

Fig. 2. The distribution of white-beaked (left) and common dolphins (right) sightings, from the Seabirds At Sea Team database, for shelf waters in summer months (May–October) 1983–1998. Grey shading: shelf waters of less than 200 m depth. NOTE: sightings recorded in non-shelf waters are not shown on this figure.

Figure 2

Fig. 3. The proportion of sightings of each species in 1°C temperature classes for summer months from 1983–1998. Black, white-beaked dolphins; white, common dolphins. (A) All sightings; and (B) excluding records from the central and southern North Sea.

Figure 3

Fig. 4. Classification tree of occurrence of white-beaked and common dolphins in relation to water temperature, depth, seabed slope and seabed aspect. In all cases, the left-hand number at the terminal node represents the proportion of sightings of white-beaked dolphins and the right-hand number of common dolphins. The number of sightings falling into each classification category is given in parentheses. The most important variable is identified by the one which determines the first branch of the tree. The tree has been pruned to display only the first three branches for clarity.