| Literature DB >> 32939006 |
José Abreu1, Richard A Phillips2, Filipe R Ceia3, Louise Ireland2, Vítor H Paiva3, José C Xavier3,2.
Abstract
Long-term studies of pelagic nekton in the Southern Ocean and their responses to ongoing environmental change are rare. Using stable isotope ratios measured in squid beaks recovered from diet samples of wandering albatrosses Diomedea exulans, we assessed decadal variation (from 1976 to 2016) in the habitat (δ13C) and trophic level (δ15N) of five important Southern Ocean squid species in relation to indices of environmental conditions-Southern Oscillation Index (SOI) and Southern Annular Mode (SAM). Based on δ13C values, corrected for the Suess effect, habitat had changed over the last 50 years for Taonius sp. B (Voss), Gonatus antarcticus, Galiteuthis glacialis and Histioteuthis atlantica but not Moroteuthopsis longimana. By comparison, mean δ15N values were similar across decades for all five species, suggesting minimal changes in trophic levels. Both SAM and SOI have increased in strength and frequency over the study period but, of the five species, only in Taonius sp. B (Voss) did these indices correlate with, δ13C and δ15N values, indicating direct relationships between environmental conditions, habitat and trophic level. The five cephalopod species therefore changed their habitats with changing environmental conditions over the last 50 years but maintained similar trophic levels. Hence, cephalopods are likely to remain important prey for top predators in Southern Ocean food webs, despite ongoing climate change.Entities:
Year: 2020 PMID: 32939006 PMCID: PMC7494860 DOI: 10.1038/s41598-020-72103-6
Source DB: PubMed Journal: Sci Rep ISSN: 2045-2322 Impact factor: 4.379
Figure 1Boxplots of δ13C values for squid sampled in the southwest Atlantic over five decades. The p values are from ANOVAs comparing values between years for each species. The subscripts letters (a vs. b) indicate the years in which the means were significantly different (i.e. the year with “a” is significantly different from the year with “b”) based on multiple comparison tests within species.
Figure 2Ecological niches of squid sampled in the southwest Atlantic over five decades. The vertical dashed lines indicate δ13C values corresponding to—the Antarctic Polar Front (APF) at − 22.9‰ and Sub-tropical Front (STF) at − 19.5‰, and each water masses (Antarctic, subantarctic and subtropical), respectively[67]. The solid or dashed lines represent the standard ellipse areas (SEAc)[75] for each species. The colours represent the different years: Black-dash—1976; Yellow—1984; Blue—1995; Red—2006 and Dash-grey—2016. R (v. 3.2.5)—SIBER package (https://doi.org/10.1111/j.1365-2656.2011.01806.x).
Corrected Standard Ellipse Area (SEAc) values for the isotopic niches of squid sampled in the southwest Atlantic over the last five decades (1976–2016).
| Species | SEAc | ||||
|---|---|---|---|---|---|
| 1976 | 1984 | 1995 | 2006 | 2016 | |
| 1.24 | 4.07 | 1.54 | 2.29 | 2.71 | |
| 1.26 | 3.24 | 2.39 | 2.29 | 1.86 | |
| 2.66 | 3.04 | 2.22 | 4.54 | 1.53 | |
| 3.78 | 4.29 | 1.65 | 1.47 | 2.07 | |
| – | 0.90 | 0.38 | 0.53 | 0.52 | |
Differences between the overall mean and values for each sampling year (with the respective time lag), for the environmental indices, SAM (lagged 0.5 years) and SOI (lagged 2 years).
| Environmental variables | Years | ||||
|---|---|---|---|---|---|
| 1976 | 1984 | 1995 | 2006 | 2016 | |
SAM (1957–2018) 0.05 ± 0.69 | 0.48 ± 0.83 | 0.25 ± 1.63 | -0.03 ± 2.12 | 0.36 ± 1.53 | 1.56 ± 1.58 |
SOI (1951–2018) 0.13 ± 0.58 | 0.82 ± 0.73 | − 1.65 ± 1.27 | − 0.52 ± 0.48 | − 0.42 ± 0.98 | − 0.33 ± 0.58 |
Figure 3Southern Annular Mode (1957–2018) at Southern Ocean. Points represent the mean of each year. Dashed horizontal lines represent the five sampling years (1976, 1984, 1995, 2006 and 2016) and the cross marks the corresponding lag time used in the analyses.
Figure 4Southern Oscillation Index (1951–2018) at Southern Ocean. Points represent the mean of each year. Dashed horizontal lines represent the five sampling years (1976, 1984, 1995, 2006 and 2016) and the squares the corresponding lag time used in the analyses.