Edited by: Paco Bustamante, Université de la Rochelle, France
Reviewed by: Alexandra Lischka, Ecofish Research Ltd., Canada
Tobias Büring, South Atlantic Environmental Research Institute, Falkland Islands
Marek Lipinski, Rhodes University, South Africa
*Correspondence: Alexey V. Golikov,
This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
Climate change is threatening marine ecosystems on a global scale but particularly so in the Arctic. As a result of warming, species are shifting their distributions, altering marine communities and predator-prey interactions. This is known as the Atlantification of the Arctic. Warming may favor short-lived, opportunistic species such as cephalopods, marine mollusks that previously have been hypothesized to be winners in an ocean of change. To detect temporal regional trends in biodiversity, long-term annual surveys in hotspots of climate change are an unparalleled source of data. Here, we use 18 years of annual bottom trawl data (2005–2022) to analyse cephalopods in the western Barents Sea. More specifically, our research goals are to assess temporal trends in cephalopod fauna composition, abundance and biomass, and to relate these trends to climate change in the western Barents Sea. Main changes in cephalopod diversity and distribution occurred in mid-2000s and early 2010s, which corresponds with a period of warming in the Arctic since the late 1990s/early 2000s. Repeated increased occurrence of the boreal-subtropical cephalopods was recorded from 2005–2013 to 2014–2022. Moreover, the abundance of cephalopods in the area (in general and for most taxa) increased from 2005–2013 to 2014–2022. These observations suggest that the cephalopod community of the Barents Sea is subjected to Atlantification since the 2005–2013 period. This corresponds with previously reported evidence of the Atlantification in fishes and benthic invertebrates in the Barents Sea and benthic invertebrates. ‘Typical’ Arctic cephalopod species such as
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The Arctic is heavily affected by climate change (
Due to ocean warming, many warm-water species are entering the Arctic from the Atlantic, causing changes in biomass, distribution and ecology of local Arctic species and altering predator-prey interactions (
One abundant but particularly understudied group of invertebrates in the Arctic are cephalopods (Phylum Mollusca, Class Cephalopoda) (
To regulate human activities in important and geographically extensive systems, monitoring of marine ecosystems’ structure and functioning is needed. An example is the Norwegian-Russian Ecosystem Survey that has taken place annually since 2003 in the Barents Sea (
The study area includes the western Barents Sea, the adjacent marginal areas of the Norwegian and Greenland Seas, and of the Central Polar Basin covered by the bottom trawl stations of the Norwegian-Russian Ecosystem Survey (eastward to 40° E) (
Bottom trawl station taken during 2005–2022 within the Norwegian-Russian Ecosystem Survey in the western Barents Sea, and distribution of cephalopods caught by bottom trawl stations.
Bottom trawl station number and frequency of cephalopods in their catches in 2005–2022 in the western Barents Sea.
Years | Number |
Stations with |
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---|---|---|---|---|---|---|---|---|---|---|---|
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% |
|
% |
|
% |
|
% |
|
% | ||
2005–2013 | 2720 | 927 | 34.1 | 131 | 14.1 | 12 | 1.3 | 8 | 0.9 | 51 | 5.5 |
2014–2022 | 1609 | 874 | 54.3 | 61 | 7.0 | 22 | 2.5 | 3 | 0.3 | 209 | 23.9 |
2005–2022 | 4329 | 1801 | 41.6 | 192 | 10.7 | 34 | 1.9 | 11 | 0.6 | 260 | 14.4 |
|
N/A | N/A | 19.63, |
N/A | 76.68, |
N/A | N/A | N/A | N/A | N/A | N/A |
Years |
|
|
Unidentified |
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Unidentified |
||||||
|
% |
|
% |
|
% |
|
% |
|
% | ||
2005–2013 | 197 | 21.3 | 10 | 1.1 | 2 | 0.2 | 8 | 0.9 | 1 | 0.1 | |
2014–2022 | 293 | 33.5 | 11 | 1.3 | 4 | 0.5 | 12 | 1.4 | 16 | 1.8 | |
2005–2022 | 490 | 27.2 | 21 | 1.2 | 6 | 0.3 | 20 | 1.1 | 17 | 0.9 | |
|
N/A | 57.63, |
N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | |
Years |
|
|
|
Unidentified |
All |
||||||
|
% |
|
% |
|
% |
|
% |
|
% | ||
2005–2013 | 292 | 31.5 | 3 | 0.3 | 2 | 0.2 | 0 | 0 | 4 | 0.4 | |
2014–2022 | 314 | 35.9 | 0 | 0 | 2 | 0.2 | 2 | 0.2 | 4 | 0.5 | |
2005–2022 | 606 | 33.6 | 3 | 0.2 | 4 | 0.2 | 2 | 0.1 | 8 | 0.4 | |
|
N/A | 30.43, |
N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | |
Years |
|
|
|
|
|
||||||
|
% |
|
% |
|
% |
|
% |
|
% | ||
2005–2013 | 248 | 26.8 | 60 | 6.5 | 7 | 0.8 | 10 | 1.1 | 310 | 33.4 | |
2014–2022 | 316 | 36.2 | 72 | 8.2 | 31 | 3.5 | 93 | 10.6 | 495 | 56.6 | |
2005–2022 | 564 | 31.3 | 132 | 7.3 | 38 | 2.1 | 103 | 5.7 | 805 | 44.7 | |
|
N/A | 49.85, |
N/A | 43.76, |
N/A | N/A | N/A | N/A | N/A | 46.56, |
|
Years |
|
Unidentified |
|||||||||
|
% |
|
% | ||||||||
2005–2013 | 1 | 0.1 | 287 | 31.0 | |||||||
2014–2022 | 1 | 0.1 | 88 | 10.1 | |||||||
2005–2022 | 2 | 0.1 | 176 | 9.8 | |||||||
|
N/A | N/A | N/A | 111.20, |
1
Frequency of occurrence between 2005–2013 and 2014–2022 assessed with a
All invertebrate benthos catch from the shrimp trawl surveys was identified onboard by benthic experts alongside fish experts (
In some years, a cephalopod expert was absent onboard during a particular cruise. It was never the case for all participating RVs simultaneously, if we account for ashore/photo-reidentification described above. During these years,
The ratio of trawl stations with cephalopod catch to standardized total catches was recorded annually and was used as a measure of cephalopod relative abundance. Frequency of occurrence of individual species/group of cephalopods in % of all stations with cephalopods was used as an abundance proxy of particular species/group. Statistical comparisons of frequencies between the 2005–2013 and 2014–2022 period were possible where we have enough data annually (= caught for more than four years within either one of the periods). These taxa were
Biomass density, i.e. biomass in gram per nautical mile of towing (g/n.m.) was a proxy of absolute biomass. The quantitative measures were estimated using towing speed and distance by standard IMR/PINRO protocols (
To compare the biomass of species/taxa (see above) between the two groups (i.e., the 2005–2013 and 2014–2022 period), a Mann–Whitney
The Norwegian-Russian Ecosystem Survey recorded twelve species in the Barents Sea and adjacent areas during 2005–2022:
The trawl catch of cephalopods increased significantly over time (
Frequency of occurrence of different species/taxa of cephalopods in % of all bottom trawl stations with cephalopod catch in 2005–2022 in the western Barents Sea.
Overall,
Cross-taxa comparison of frequencies among the most abundant cephalopods in 2005–2013 and 2014–2022 in the western Barents Sea.
2005–2013 | 2014–2022 | ||||||
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Taxa |
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Taxa |
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N/A |
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N/A |
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N/A |
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N/A |
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N/A |
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|
N/A |
1
Differences in frequencies assessed with a
While frequencies of occurrence showed significant differences over time, the biomass only showed significant decrease from the 2005–2013 and 2014–2022 period for
Biomass density of cephalopods in 2005–2022 in the western Barents Sea.
Years |
|
|
|
|
|
---|---|---|---|---|---|
2005–2013 | 0.3–3471.0 (135.0 ± 36.8) | 1.0–1095.6 (136.3 ± 89.1) | 1.5–76.7 (33.4 ± 11.6) | 1.1–617.1 (55.6 ± 12.5) | 0.3–3471.0 (113.5 ± 27.7) |
2014–2022 | 1.3–885.2 (97.4 ± 18.1) | 2.8–1126.6 (134.2 ± 51.4) | 20.3–146.1 (85.2 ± 36.4) | 0.1–1801.0 (83.2 ± 11.9) | 0.1–1801.0 (91.4 ± 10.3) |
2005–2022 | 0.3–3471.0 (123.0 ± 25.7) | 1.0–1126.6 (134.9 ± 45.0) | 1.5–146.1 (47.5 ± 13.9) | 0.1–1801.0 (77.7 ± 9.9) | 0.3–3471.0 (100.2 ± 12.7) |
|
3424.0, 0.13 | 97.0, 0.22 | N/A | N/A | 25194.0, |
Years |
|
Unidentified Incirrata |
|
Unidentified Octopoda |
|
2005–2013 | 13.5–2225.8 (286.9 ± 215.8) | 10.0–16.8 (13.4 ± 3.4) | 88.6–559.9 (243.0 ± 55.1) | 520.0 | 0.7–740.0 (39.3 ± 4.2) |
2014–2022 | 6.3–231.9 (56.5 ± 19.9) | 13.4–52.9 (32.8 ± 8.2) | 18.2–1791.8 (511.1 ± 163.5) | 7.5–1004.6 (127.1 ± 63.7) | 0.5–673.0 (28.8 ± 2.9) |
2005–2022 | 6.3–2225.8 (166.2 ± 103.7) | 10.0–52.9 (26.3 ± 6.7) | 18.2–1791.8 (403.8 ± 103.2) | 7.5–1004.6 (150.2 ± 64.1) | 0.7–740.0 (33.3 ± 2.5) |
|
N/A | N/A | N/A | N/A | 40483.0, 0.06 |
Years |
|
|
Unidentified Ommastrephidae | All Ommastrephidae2 |
|
2005–2013 | 9.0–149.7 (79.3 ± 70.3) | 4.4–22.6 (13.5 ± 9.1) | 0 | 9.0–154.1 (61.9 ± 46.3) | 0.1–3620.7 (56.6 ± 15.3) |
2014–2022 | 0 | 17.2–120.4 (68.8 ± 51.6) | 33.9–37.6 (35.7 ± 1.8) | 17.2–120.4 (52.3 ± 23.2) | 0.4–3126.1 (59.7 ± 11.0) |
2005–2022 | 9.0–149.7 (59.6 ± 45.1) | 4.4–120.4 (41.1 ± 26.7) | 33.9–37.6 (35.7 ± 1.8) | 9.0–154.1 (56.4 ± 21.5) | 0.1–3620.7 (58.3 ± 9.1) |
|
N/A | N/A | N/A | N/A | 36401.0, 0.20 |
Years |
|
|
|
|
|
2005–2013 | 0.1–152.4 (24.4 ± 2.9) | 26.8–184.0 (102.1 ± 25.2) | 0.4–169.9 (65.6 ± 20.7) | 0.1–3620.7 (51.1 ± 12.0) | 38.7 |
2014–2022 | 0.8–396.7 (33.0 ± 6.7) | 2.0–516.6 (52.3 ± 16.0) | 0.6–1064.1 (52.2 ± 14.7) | 0.6–3126.1 (56.1 ± 7.7) | 3.8 |
2005–2022 | 0.1–396.7 (29.0 ± 3.8) | 2.0–516.6 (61.3 ± 14.1) | 0.4–1064.1 (53.5 ± 13.4) | 0.1–3620.7 (54.2 ± 6.6) | 3.8–38.7 (21.3 ± 17.5) |
|
2118.5, 0.85 | N/A | N/A | 75053.0, 0.72 | N/A |
Years | Unidentified Cephalopoda | ||||
2005–2013 | 0.6–1911.3 (93.0 ± 10.4) | ||||
2014–2022 | 0.6–306.8 (36.9 ± 4.9) | ||||
2005–2022 | 0.6–1911.3 (79.5 ± 8.1) | ||||
|
N/A |
1
Differences between 2005–2013 and 2014–2022 assessed with a Mann–Whitney
Cross-species/taxa comparison of biomass density of cephalopods in 2005–2022 in the western Barents Sea.
Species |
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Species |
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Taxa |
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N/A | N/A | N/A |
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N/A |
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N/A |
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N/A | N/A | N/A |
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N/A |
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N/A |
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N/A | N/A | N/A |
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N/A |
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N/A |
1
Assessed with a Kruskal–Wallis
The main changes in cephalopod fauna occurred during the mid-2000s and early 2010s, when four boreal-subtropical species appeared in the area (three of them for the first time ever, and one for the first time since the early 1980s). The timing of their occurrence (i.e., the mid-2000s and early 2010s) followed the onset of increased climate-driven warming in the Barents Sea since late 1990s/early 2000s (
Our study is the first to document temporal trends in the cephalopod community of the Barents Sea, which is one of the fastest warming regions in the Arctic (
Cephalopod fauna composition from the XIXth century to 2022 in the western Barents Sea and adjacent areas.
Timeline | Before 2005 | 2005–2022 | 2019–2022 |
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2005–2013 | 2014–2022 | |||
Source | Reviews: |
This study |
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Assessment |
Trawling | eDNA | ||
Octopoda |
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1 |
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1 |
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Incirrata2 | Incirrata2 | |||
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Octopoda2 | Octopoda2 | |||
Oegopsida |
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5 | |||
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Ommastrephidae2 | Ommastrephidae2 | |||
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Histioteuthidae | ||||
Oegopsida | ||||
Sepiolida |
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1 |
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Cephalopoda | Cephalopoda2 | Cephalopoda2 | Cephalopoda |
1not recorded due to lack of identification expertise, not a real absence (see Discussion); 2one of the taxa recorded in the Barents Sea, but not recognized by benthic experts onboard and not fixed/frozen for ashore identification; 3as
Of the twelve permanent Arctic resident cephalopod species (
Alternative methods to assess biodiversity and community composition in marine ecosystems are underwater video imagery and environmental DNA (eDNA) analyses (e.g.,
A clear increase in the ratio of cephalopod catches to standardized total catches, as well as an increase in the frequency of occurrence was recorded for most of the studied cephalopod species/taxa in the western Barents Sea from the 2005–2013 to 2014–2022 period. These observations align with ongoing continuous increase of mean annual temperatures in the Arctic during the same timeline (
The biomass density used here can be a proxy of absolute biomass when coupled with abundance data and distribution maps. This makes comparisons of biomass among the studies possible (even though limited by the use of different gear). The biomass of deep-sea octopods is the largest in the troughs and on the slopes of the marginal areas of the Barents Sea.
The standardized survey (gear, time and place) demonstrating the congruent significant decrease of biomass and significant increase in individual numbers (see Results and above) indirectly suggests a reduction in body-size of
To date, cephalopod monitoring in the Barents Sea has been performed via analysis of benthos bycatch from the Norwegian-Russian Ecosystem Survey. This survey uses the Campelen-1800 bottom trawl which is designed for demersal shrimp and fish surveys (
Cephalopod identification can be challenging for non-specialists, also because of wrong or insufficient species names in GenBank (e.g.,
In this study there was a significant increase in quality of onboard identification expertise by benthic experts over time. This is demonstrated by a three times-decrease of unidentified cephalopods from the trawl catches from the 2005–2013 period to the 2014–2022 period, and by changed ratios of taxa within
The data analysed in this study is subject to the following licenses/restrictions: The dataset is still in work under our team’s other projects; also the data from Russian part of the Norwegian-Russian Ecosystem Survey are in not in public access yet. Once they are, the whole dataset will be made available as soon as possible. Requests to access these datasets should be directed to
Ethical approval was not required for the study involving animals in accordance with the local legislation and institutional requirements because samples were obtained as a bycatch from cruises; when they come as a bycatch, they are already dead when onboard. No animals were killed specifically for this project. The specimens are not vertebrates, neither are they non-human primates, genetically modified organisms, cloned farm animals or endangered species.
AG: Conceptualization, Formal analysis, Funding acquisition, Investigation, Resources, Visualization, Writing – original draft, Writing – review & editing. LJ: Formal analysis, Funding acquisition, Resources, Visualization, Writing – original draft, Writing – review & editing. RS: Conceptualization, Formal analysis, Investigation, Writing – review & editing. DZ: Formal analysis, Resources, Writing – review & editing. HJH: Conceptualization, Formal analysis, Funding acquisition, Resources, Writing – review & editing.
The author(s) declare financial support was received for the research, authorship, and/or publication of this article. This project has received funding from the European Union’s Horizon 2020 research and innovation program under Marie Skłodowska-Curie grant agreement № 101065960 (granted to AG); from Norwegian-Russian Ecosystem Survey (AG, LJ = PI on benthos and DZ); and HJH was supported by Helmholtz POF IV.
We are grateful to the scientific groups and crews of all RVs participating in the Norwegian-Russian Ecosystem Survey over these years, and especially to the benthic experts onboard (Pavel A. Lubin, Olga L. Zimina, Igor E. Manushin, Natalya A. Strelkova, Anne K. Sveistrup, Heidi Gabrielsen and many others); and to Julian B. Stauffer for his support with map design. We thank the editor, Dr. Paco Bustamante, two reviewers and Dr. Marek Lipinski whose comments helped us to improve the manuscript.
The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.
The Supplementary Material for this article can be found online at: