| Literature DB >> 24324782 |
Asunción Borrell1, Adriana Velásquez Vacca, Ana M Pinela, Carl Kinze, Christina H Lockyer, Morgana Vighi, Alex Aguilar.
Abstract
In pelagic species inhabiting large oceans, genetic differentiation tends to be mild and populations devoid of structure. However, large cetaceans have provided many examples of structuring. Here we investigate whether the sperm whale, a pelagic species with large population sizes and reputedly highly mobile, shows indication of structuring in the eastern North Atlantic, an ocean basin in which a single population is believed to occur. To do so, we examined stable isotope values in sequential growth layer groups of teeth from individuals sampled in Denmark and NW Spain. In each layer we measured oxygen- isotope ratios (δ(18)O) in the inorganic component (hydroxyapatite), and nitrogen and carbon isotope ratios (δ(15)N: δ(13)C) in the organic component (primarily collagenous). We found significant differences between Denmark and NW Spain in δ(15)N and δ(18)O values in the layer deposited at age 3, considered to be the one best representing the baseline of the breeding ground, in δ(15)N, δ(13)C and δ(18)O values in the period up to age 20, and in the ontogenetic variation of δ(15)N and δ(18)O values. These differences evidence that diet composition, use of habitat and/or migratory destinations are dissimilar between whales from the two regions and suggest that the North Atlantic population of sperm whales is more structured than traditionally accepted.Entities:
Mesh:
Substances:
Year: 2013 PMID: 24324782 PMCID: PMC3855748 DOI: 10.1371/journal.pone.0082398
Source DB: PubMed Journal: PLoS One ISSN: 1932-6203 Impact factor: 3.240
Figure 1Location of sampling sites.
Information on the sperm whales used in the study.
|
|
|
|
|
|
|
|
|
|---|---|---|---|---|---|---|---|
| A | Male | 12.2 | NW Spain | Captured | 1980 | 16 | 9 |
| B | Male | 11.6 | NW Spain | Captured | 1980 | 18 | 10 |
| C | Female | 10.9 | NW Spain | Captured | 1978 | 18 | 9 |
| D | Female | 9.5 | NW Spain | Captured | 1978 | 20 | 9 |
| E | Female | 10.1 | NW Spain | Captured | 1978 | 13 | 6 |
| F | Male | 12.6 | Denmark | Stranded | 1996 | 24 | 7 |
| G | Male | 13.2 | Denmark | Stranded | 1996 | 27 | 8 |
| H | Male | 12.9 | Denmark | Stranded | 1996 | 22 | 7 |
| I | Male | 14.0 | Denmark | Stranded | 1997 | 55 | 12 |
Statistical results of Independent samples test between stable isotope values of the 3rd year dentinal growth layer group (GLG) in sperm whales from NW Spain and Denmark.
|
|
| |||||||
|---|---|---|---|---|---|---|---|---|
| F | Sig. | t | df | Sig. (2-tailed) | Mean difference | Std error difference | ||
|
| 0.17 | 0.69 | 0.26 | 7 | 0.80 | 0.11 | 0.42 | |
|
| 0.10 | 0.76 | -3.33 | 7 | 0.01 | -2.79 | 0.84 | |
|
| 0.67 | 0.44 | 2.68 | 7 | 0.03 | 0.46 | 0.17 | |
Figure 2Comparison of δ15N and δ18O values (mean±sd) of the 3rd year dentinal growth layer group (GLG) in sperm whales sampled in Denmark (n=4) and NW Spain (n=5) (p<0.05 for δ15N; and p<0.01 for δ18O).
Figure 3Relationship between δ15N, δ13C and δ18O values and the year of formation of the 3rd year dentinal growth layer group (GLG) in sperm whales from NW Spain and Denmark.
Figure 4Relationship between stable isotope values (δ15N: a, b; δ13C: c, d and δ18O: e, f) and age in sperm whales sampled in Denmark and NW Spain.
Each individual, identified as A-I according to details shown in Table 1, is represented by a different colour.
AIC and p values resulting from the application of the linear GLM and non-linear GAM models to each individual set of data to investigate the correlation between stable isotope values and age.
|
|
| ||||
|---|---|---|---|---|---|
|
|
|
|
|
| |
|
|
| 11.47 | <0.001 | 11.47 | <0.001 |
|
| 24.46 | 0.61 | 24.46 | 0.61 | |
|
| 15.28 | <0.01 | 15.28 | <0.01 | |
|
| 12.02 | <0.05 | 12.02 | <0.05 | |
|
| 7.01 | <0.001 | 6.86● | <0.001 | |
|
| 4.39 | <0.05 | 4.39 | <0.05 | |
|
| 9.40 | <0.001 | 9.40 | <0.001 | |
|
| 17.19 | 0.90 | 17.19 | 0.90 | |
|
| 31.66 | <0.001 | 18.11● | <0.001 | |
|
|
| 4.71 | <0.05 | 4.71 | <0.05 |
|
| 8.26 | 0.17 | 3.47● | 0.07 | |
|
| 17.88 | 0.64 | -0.83● | <0.001 | |
|
| 6.97 | 0.24 | 6.97 | 0.24 | |
|
| 9.91 | 0.53 | 9.21● | 0.69 | |
|
| 15.70 | 0.82 | 15.70 | 0.82 | |
|
| 15.90 | 0.13 | 10.83● | 0.62 | |
|
| 10.87 | <0.05 | 10.86● | <0.05 | |
|
| -0.09 | <0.001 | -0.09 | <0.001 | |
|
|
| 8.84 | 0.98 | 8.84 | 0.98 |
|
| 5.92 | 0.42 | 5.49● | 0.60 | |
|
| 4.19 | 0.64 | 4.19 | 0.64 | |
|
| -0.92 | 0.10 | -0.92 | 0.10 | |
|
| 2.09 | 0.14 | 2.09 | 0.14 | |
|
| 1.47 | 0.09 | 1.47 | 0.09 | |
|
| 5.78 | <0.05 | 5.78 | <0.05 | |
|
| 5.53 | <0.05 | 5.53 | <0.05 | |
|
| 1.45 | 0.69 | 1.45 | 0.69 | |
● indicates a lower AIC value resulting from the application of the GAM model than that of GLM.