Abstract
The Atlantic herring and Atlantic cod are two marine fish species that have successfully adapted to the brackish Baltic Sea, and the former is able to spawn in near-freshwater conditions in the inner Gulf of Bothnia. Here, we review the state of current knowledge concerning ecological adaptation in the two species and make an attempt to predict how they will be able to cope with future climate change. Previous whole genome sequencing studies in Atlantic herring have revealed hundreds of genetic loci underlying ecological adaptation, including several loci that show very strong associations to variation in salinity and temperature. These results suggest the existence of standing genetic variation available for adaptation to a changing environment. However, although Atlantic herring probably has the genetic potential to adapt, its future status also depends on how climate change will affect plankton production and competing species, such as sprat and three-spined stickleback. In cod, the situation is challenging, as there is only one true Baltic population, spawning east of Bornholm and then dispersing towards the east and north. This Baltic cod population is threatened by overfishing, low oxygen levels in benthic waters and generally bad physiological condition of individual fish, in addition to being completely isolated from gene flow from nearby cod populations at the entrance of the Baltic Sea.
1 Introduction
The brackish Baltic Sea is a challenging environment for marine fish, and few marine species have been able to successfully colonize this body of water. Surface salinity drops from 35‰ in the Atlantic Ocean to about 8‰ in the Southern Baltic Sea, and to as low as 2-3‰ in the inner Gulf of Bothnia. Furthermore, the amplitude in temperature variation over the year is higher than in the Atlantic Ocean (). Major anthropogenic impacts on the Baltic Sea ecosystem are eutrophication, leading to algal blooms and hypoxia in certain areas, pollution (dioxin, dioxin-like compounds, and other persistent organic pollutant), and climate change (). Climate predictions indicate drastic changes during this century with increasing temperature, lower salinity, and less ice coverage in the winter ().
The Atlantic herring (Clupea harengus) and Atlantic cod (Gadus morhua) are two of the most important marine fish that have been able to adapt to the brackish environment in the Baltic Sea (). Linnaeus classified the Baltic herring as a subspecies of the Atlantic herring based on its distinct phenotype (small size, reduced fat content compared with Atlantic herring) and named it Clupea harengus membras (). Also, the Atlantic cod present in the Baltic Sea may be considered a distinct subspecies with specific adaptation to the Baltic Sea (). Both species have been subjected to detailed genetic studies in recent years, which have revealed many of the genes and genomic regions that have contributed to their genetic adaptation. The aim of this review is to summarize the current knowledge of genetic adaptation to the environmental conditions in the Baltic Sea as a basis to speculate how climate change may affect these species.
1.1 Population structure and ecological adaptation in the Atlantic herring
The Atlantic herring has a key ecological role in the North Atlantic Ocean and adjacent waters. It feeds on plankton and thereby constitutes a link between the primary production in the ocean and other fish, including cod, sea birds, and marine mammals that feed on herring (Ojaver et al., 2010). Herring has also been a critical food resource for humans for at least a thousand years (). It is a benthic spawner that utilizes fully marine environments (35-36‰) as well as brackish environments, including the entire Baltic Sea. Early genetic studies using a handful of biochemical polymorphisms revealed no significant genetic differentiation among populations even between population samples from full marine environments to the inner Gulf of Bothnia (). This surprising finding was resolved when it became possible to screen large numbers of genetic markers including the sequencing of the entire genome (; ; ; ). These later studies revealed that there is almost no genetic differentiation at the great majority (>90%) of single nucleotide polymorphisms (SNPs) but highly significant differentiation, often approaching fixation of alternative alleles, between subpopulations for a few percent of the polymorphic sites. The very low genetic differentiation at selectively neutral loci can be explained by the very large population size and some gene flow between subpopulations, resulting in negligible genetic drift. In contrast, natural selection, fueled by the same large population size, is causing striking genetic differentiation at loci underlying ecological adaptation. Thus, whole genome sequencing reveals a considerable degree of local adaptation (), in total contrast to the previous results based on a handful of selectively neutral markers. The Atlantic herring data demonstrate that for marine species with large breeding populations, it is essential to study the entire genome to get full insight about population structure and to reveal the genetic markers that confer the most power to distinguish different subpopulations.
Whole genome sequencing has revealed about ten major groups of Atlantic herring that constitute ecotypes genetically adapted to different environmental conditions () (Figure 1). The three major factors distinguishing these ecotypes are (i) spawning time (primarily spring or autumn); (ii) salinity at spawning locations; (iii) water temperature at spawning locations. However, it is clear that there is further genetic differentiation within the major groups. For instance, the spring-spawning herring from the region between the North Sea and the Baltic Sea proper – i.e., the transition zone with a steep salinity gradient – includes genetically differentiated subpopulations. The exact number of subpopulations within the major groups is unknown and it is likewise not known to which extent local populations are isolated from other local populations within the same major group.
Figure 1
1.1.1 Genetic adaptation to low salinity
Difference in salinity is a major environmental factor affecting ecological adaptation in herring. Previous data show that it is the salinity at spawning locations that is more important for local adaptation than salinity at feeding (
Figure 2

The frequencies of LRRC8C alleles show strong correlation with salinity. (A) Heatmap of the frequencies of the three LRRC8C alleles. Column labels are colloquial names for the common alleles based on their most prevalent location. Samples were collected and genotyped in the collaborative “Forskarhjälpen” project presented in
Prolactin is best known for its crucial role for lactation in mammals. However, in fish it is well established that prolactin plays a key role in osmoregulation (
1.1.2 Genetic adaptation to variation in water temperature
With regard to the ability of the Atlantic herring to adapt to variation in water temperature, insights primarily come from a comparison of allele frequencies in herring spawning in the waters around Great Britain and Ireland with those spawning further north in the Atlantic (Norway, Iceland, Greenland, and Canada) (
Figure 3

Genetic differentiation between herring populations from Ireland and Britain vs. other populations from the Northeast Atlantic. Inversions are located on chromosomes 6, 12, 17, and 23, and are highlighted with red stars. Strong genetic differentiation is observed in the following intervals: chromosome 6: 22.2 – 24.8 Mb, chromosome 12: 17.8 – 25.6 Mb, chromosome 17: 25.8 – 27.5 Mb, and chromosome 23: 16.3 – 17.5 Mb. The Y-axis represents -log10 of the probability (P) value in a chi square test per SNP testing the null hypothesis of no allele frequency differences between regions. The following genes associated with genetic differentiation are highlighted: AHR2B2, aryl hydrocarbon receptor 2B2; CD209, CD209 antigen-like protein; SLC12A2, solute carrier family 12 member 2; TSHR: thyroid stimulating hormone receptor; ESR2A, estrogen receptor 2A; SYNE2, spectrin repeat containing nuclear envelope protein 2; HERPUD2, HERPUD family member 2. Adapted from
In the Baltic Sea, the Northern haplotypes are the most common variants at all four inversions, but the Southern haplotypes are also present (
Figure 4

Estimated frequencies for the “Northern” and “Southern” haplotypes for the inversion on chromosome 12 in pooled population samples in the Baltic Sea and East Atlantic. Adapted from
1.1.3 Genetic adaptation to altered light conditions in the Baltic Sea
Another gene underlying adaptation to the Baltic Sea is RHO encoding rhodopsin, one of the light receptors in the retina of the eye.
1.1.4 Why do Atlantic herring show so much genetic differentiation at some loci but essentially no genetic differentiation at neutral loci?
Herring populations spawn under widely different environmental conditions, with regard to salinity, temperature, water depth, light conditions, and biotic factors (prey and predators). This means that the most sensitive phase of life, embryonic and larval development, takes place under drastically different constraints. This has promoted a homing behavior that is a prerequisite for local genetic adaptation. Indeed, local adaptation in the Baltic Sea is known from a number of other marine fish that also spawn in various coastal or freshwater habitats, such as, cod, plaice, flounder, and stickleback (
Consequently, the eel constitutes a single panmictic population that shows no genetic differentiation between geographic regions (
1.2 The isolated cod population in the Baltic Sea
Atlantic cod is, like herring, an important commercial fish species. It is distributed across the North Atlantic and occurs up to the Bothnian Sea in the Baltic. There are at least two genetically distinct populations of cod in the Baltic Sea: one large population east of Bornholm, and one or several smaller populations that spawn in the western Baltic Sea (
Figure 5

Genome-wide differentiation (FST) in cod based on 8,309 SNPs across all 23 chromosomes in comparisons of cod from Kattegat and North Sea (top) and cod from eastern Baltic Sea and Kattegat (bottom). Median FST estimates in the two pairwise comparisons are denoted in parentheses. Adapted from
Successful spawning of Baltic cod is restricted to a layer of water in the Bornholm deep, which has high enough salinity to allow the cod eggs to be neutrally buoyant, while still above critical oxygen levels (
Eastern Baltic cod spawn later in the season, in May-August, compared to western Baltic cod that spawn in February-April (
1.2.1 Genetic adaptation in cod to the Baltic Sea environment
Genome scan studies have detected several regions in the genome of eastern Baltic cod associated with salinity and oxygen conditions at spawning depth (
Fertilization of eggs is also challenging at low salinity. Baltic cod harbor outlier loci in the vicinity of the zona pellucida glycoprotein-2 gene (ZP2L1) on chromosome 8, possibly involved in sperm binding. Other fish species, such as sand goby, show sperm adaptation to low salinity in Baltic populations (
Osmoregulation and ion exchange in cod larvae, juveniles and adults are controlled by the expression of different enzymes, such as Na+/K+-ATPase. Both differential gene expression (
Already in the early 1960ies, Knud Sick reported a two-allele system with three different hemoglobin genotypes for Atlantic cod, where one allele (HbI-2) was almost fixed in Baltic cod (
Recent studies show that local adaptation to different environments have been facilitated by chromosomal inversions in the Atlantic cod genome (
1.3 Can we predict how climate change will affect the herring and cod populations in the Baltic Sea?
As the genetic data for herring and cod clearly show, Baltic populations of these two species are specifically adapted to the Baltic Sea, a marginal marine environment. Increased stress from climate changes will put further pressure on both species. Moreover, the Baltic Sea is an isolated marine basin with narrow openings to the North Sea through the shallow Danish Straits. Consequently, sea warming is more severe and much faster in the Baltic Sea than in the open oceans (
What appear as additionally problematic for the survival of the Baltic herring is what happens to the ecosystem, not least to the zooplankton communities. For example, in different regions of the Baltic Sea the numbers of three-spined stickleback have increased between 4-fold and 45-fold over the past 35 years, and its predation on fish egg, fish larvae, and zooplankton impacts substantially coastal and open sea food webs (
The situation for the isolated eastern cod population is strongly related to the situation of its spawning ground east of the island Bornholm. The semi-pelagic spawning of the eastern cod is depending on correct buoyancy of the eggs that should neither float, nor sink to the bottom. The Baltic cod has eggs with a buoyancy adapted to the lower salinity of the deep Baltic Sea (
1.4 How can we monitor genetic changes over time?
Genetic studies in Atlantic herring and cod have revealed many genes and genomic regions associated with ecological adaptation. It is now straightforward to set up diagnostic tests to monitor genetic changes at these loci. This can for instance be carried out using so called SNP chips that is a cost-effective way to generate genotypes for many individuals for thousands of SNPs. A fish multi-species SNP chip providing data on thousands of SNPs per species has recently become commercially available (https://www.identigen.com/DnaTraceback/Seafood; accessed November 3, 2022). SNPs for the following species are available on this chip: Atlantic herring, Atlantic horse mackerel, Brown trout, Atlantic cod, Perch, Salmon, and Sprat. This is a valuable resource for many types of population studies, including to monitor stock development as a basis for maintaining genetic diversity and promote sustainable fishery. Careful fishery management is expected to be even more important in the future to avoid population collapse due to the combined effects of climate change and intensive commercial fishing.
The already established genetic markers associated with temperature adaptation, such as the chromosome 12 inversion in the Atlantic herring, that is likely to contribute to the response to future climate changes, should be included in such genetic monitoring. However, it will also be wise to explore genetic changes across the entire genome at regular intervals, on the order once per decade, because new loci may come under selection as the environmental conditions become more extreme. Furthermore, new mutations contributing to genetic adaptation may emerge and need to be included in updated panels of diagnostic genetic markers used for monitoring.
Statements
Author contributions
All authors listed have made a substantial, direct, and intellectual contribution to the work and approved it for publication.
Funding
LA’s research group is funded by Forskningsrådet (2017-02907) and Knut and Alice Wallenberg Foundation (KAW 2016.0361).
Acknowledgments
CA and KJ acknowledge support from the Linnaeus Centre for Marine Evolutionary Biology, CeMEB.
Conflict of interest
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.
Publisher’s note
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.
References
1
AndersenØ. (2012). Hemoglobin polymorphism in atlantic cod – a review of 50 years of study. Mar. Genomics8, 59–65.
2
AndersenO.WettenO. F.De RosaM. C.AndreC.Carelli AlinoviC.ColafranceschiM.et al. (2009). Haemoglobin polymorphisms affect the oxygen-binding properties in atlantic cod populations. Proc. Biol. Sci.276, 833–841.
3
Anonymous (2021). “Fisk- och skaldjursbestånd i hav och sötvatten 2020. havs och vattenmyndigheten,” in Swedish Agency for marine and water management report, vol. 2021. (Swedish), 6.
4
AsgeirssonB.FoxJ. W.BjarnasonJ. B. (1989). Purification and characterization of trypsin from the poikilotherm Gadus morhua. Eur. J. Biochem.180, 85–94.
5
AtmoreL. M.Martinez-GarciaL.MakowieckiD.AndréC.LougasL.BarrettJ. H.et al. (2022). Population dynamics of Baltic herring since the Viking age revealed by ancient DNA and genomics. Proc. Natl. Acad. Sci. U.S.A.119, e2208703119.
6
BarthJ. M.Villegas-RíosD.FreitasC.MolandE.StarB.AndréC.et al. (2019). Disentangling structural genomic and behavioural barriers in a sea of connectivity. Mol. Ecol.28, 1394–1411.
7
BergP. R.JentoftS.StarB.RingK. H.KnutsenH.LienS.et al. (2015). Adaptation to low salinity promotes genomic divergence in Atlantic cod (Gadus morhua l.). Genome Biol. Evol.7, 1644–1663.
8
BergströmU.OlssonJ.CasiniM.ErikssonB. K.FredrikssonR.WennhageH.et al. (2015). Stickleback increase in the Baltic Sea – a thorny issue for coastal predatory fish. Estuarine Coast. shelf Sci.163, 134–142.
9
BranderK. (2005). Spawning and life history information for north Atlantic cod stocks. ICES Coop Res. Rep. doi: 10.17895/ices.pub.5478
10
CasiniM.BartolinoV.MolineroJ. C.KornilovsG. (2010). Linking fisheries, trophic interactions and climate: Threshold dynamics drive herring clupea harengus growth in the central Baltic Sea. Mar. Ecol. Prog. Ser.413, 241–252.
11
CerdàJ.ZapaterC.ChauvignéF.FinnR. N. (2013). Water homeostasis in the fish oocyte: New insights into the role and molecular regulation of a teleost-specific aquaporin. Fish Physiol. Biochem.39, 19–27.
12
DeFaveriJ.MeriläJ. (2014). Local adaptation to salinity in the three-spined stickleback? J. Evolutionary Biol.27, 290–302.
13
EnbodyE. D.PetterssonM. E.SprehnC. G.PalmS.WickströmH.AnderssonL. (2020). Ecological adaptation in European eels is based on phenotypic plasticity. Proc. Natl. Acad. Sci. U.S.A., 118, e2022620118.
14
FabraM.RaldúaD.PowerD. M.DeenP. M. T.CerdàJ. (2005). Marine fish egg hydration is aquaporin-mediated. Science307, 545.
15
HanF.JamsandekarM.PetterssonM. E.SuL.Fuentes-PardoA. P.DavisB. W.et al. (2020). Ecological adaptation in Atlantic herring is associated with large shifts in allele frequencies at hundreds of loci. eLife9, e61076.
16
Hemmer-HansenJ.HüssyK.BaktoftH.HuwerB.BekkevoldD.HaslobH.et al. (2019). Genetic analyses reveal complex dynamics within a marine fish management area. Evolutionary Appl.12, 830–844.
17
HillJ.EnbodyE. D.PetterssonM. E.SprehnC. G.BekkevoldD.FolkvordA.et al. (2019). Recurrent convergent evolution at amino acid residue 261 in fish rhodopsin. Proc. Natl. Acad. Sci. U.S.A.116, 18473–18478.
18
ICES (2021). Baltic Fisheries assesment working group (WGBFAS) (Copenhagen: ICES Scientific Reports).
19
JohannessonK.AndréC. (2006). Life on the margin: genetic isolation and diversity loss in a peripheral marine ecosystem, the Baltic Sea. Mol. Ecol.15, 2013–2029.
20
JohannessonK.Le MoanA.PeriniS.AndréC. (2020). A Darwinian laboratory of multiple contact zones. Trends Ecol. Evol.35, 1021–1036.
21
JonssonP. R.KottaJ.AnderssonH. C.HerkulK.VirtanenE.Nyström SandmanA.et al. (2018). High climate velocity and population fragmentation may constrain climate-driven range shift of the key habitat former Fucus vesiculosus in the Baltic Sea. Diversity Distribution24, 892–905.
22
KniebuschM.MeierH. E. M.RadtkeH. (2019). Changing salinity gradients in the Baltic Sea as a consequence of altered freshwater budgets. Geophysical Res. Lett.46, 9739–9747.
23
KösterF. W.HuwerB.HinrichsenHans-H.NeumannV.MakarchoukA.EeroM.et al. (2017). Eastern baltic cod recruitment revisited—dynamics and impacting factors. ICES Journal of Marine Science74, 3–19. doi: 10.1093/icesjms/fsw172
24
KottaJ.VanhataloJ.JänesH.Orav-KottaH.RugiuL.JormalainenV.et al. (2019). Integrating experimental and distribution data to predict future species patterns. Sci. Rep.9, 1821.
25
KratzerS.MooreG. (2018). Inherent optical properties of the Baltic Sea in comparison to other seas and oceans. Remote Sens.10, 418.
26
LamichhaneyS.BarrioA. M.RafatiN.SundströmG.RubinC.-J.GilbertE. R.et al. (2012). Population-scale sequencing reveals genetic differentiation due to local adaptation in Atlantic herring. Proc. Natl. Acad. Sci. U.S.A.109, 19345–19350.
27
LamichhaneyS.Fuentes-PardoA. P.RafatiN.RymanN.MccrackenG. R.BourneC.et al. (2017). Parallel adaptive evolution of geographically distant herring populations on both sides of the north Atlantic ocean. Proc. Natl. Acad. Sci. U.S.A.114, E3452–E3461.
28
LarsenP. F.NielsenE. E.MeierK.OlsvikP. A.HansenM. M.LoeschckeV. (2011). Differences in salinity tolerance and gene expression between two populations of Atlantic cod (Gadus morhua) in response to salinity stress. Biochem. Genet.50, 454–466.
29
LederE. H.AndréC.Le MoanA.TöpelM.BlombergA.HavenhandJ. N.et al. (2021). Post-glacial establishment of locally adapted fish populations over a steep salinity gradient. J. Evolutionary Biol.34, 138–156.
30
Le MoanA.BekkevoldD.Hemmer-HansenJ. (2021). Evolution at two time frames: ancient structural variants involved in post-glacial divergence of the European plaice (Pleuronectes platessa). Heredity126, 668–683.
31
LinnaeusC. (1761). Fauna suecica (Stockholm).
32
ManzonL. A. (2002). The role of prolactin in fish osmoregulation: A review. Gen. Comp. Endocrinol.125, 291–310.
33
Martinez BarrioA.LamichhaneyS.FanG.RafatiN.PetterssonM.ZhangH.et al. (2016). The genetic basis for ecological adaptation of the Atlantic herring revealed by genome sequencing. eLife5, e12081.
34
MatschinerM.BarthJ. M. I.TørresenO. K.StarB.BaalsrudH. T.BrieucM. S. O.et al. (2022). Supergene origin and maintenance in Atlantic cod. Nat. Ecol. Evol.6, 469–481.
35
MöllmanC.KornilovsG.FetterM.KösterF. W. (2004). Feeding ecology of central Baltic Sea herring and sprat. J. Fish Biol.65, 1563–1581.
36
MomiglianoP.JokinenH.FraimoutA.FlorinA.-B.NorkkoA.MeriläJ. (2018). Extraordinarily rapid speciation in a marine fish. Proc. Natl. Acad. Sci. U.S.A.114, 6074–6079.
37
NisslingA.KryviH.VallinL. (1994). Variation in egg buoyancy of Baltic cod Gadus morhua and its implications for egg survival in prevailing conditions in the Baltic Sea. Mar. Ecol. Prog. Ser.110, 67–74.
38
NisslingA.WestinL. (1997). Salinity requirements for successful spawning of Baltic and belt Sea cod and the potential for cod stock interactions in the Baltic Sea. Mar. Ecol. Prog. Ser.152, 261–271.
39
OjaveerH.JaanusA.MacKenzieB. R.MartinG.OleninS.et al. (2010). Status of biodiversity in the Baltic Sea. PLoS ONE5 (9), e12467. doi: 10.1371/journal.pone.0012467
40
Osei-OwusuJ.YangJ.ViteryM. D. C.QiuZ. (2018). Molecular biology and physiology of volume-regulated anion channel (VRAC). Curr. Top. Membr81, 177–203.
41
PetterssonM. E.RochusC. M.HanF.ChenJ.HillJ.WallermanO.et al. (2019). A chromosome-level assembly of the Atlantic herring genome–detection of a supergene and other signals of selection. Genome Res.29, 1919–1928.
42
PoulsenE. M. (1931). “Biological investigations upon the cod in Danish waters,” in Meddelelser fra kommisionen for danmarks fiskeri-og havundersøgelser, (Copenhagen: C. A. Reitzels publisher) vol. Vol. IX., No 1.
43
ReuschT. B. H.DierkingJ.AnderssonH. C.BonsdorffE.CarstensenJ.CasiniM.et al. (2018). The Baltic Sea as a time machine for the future coastal ocean. Sci. Adv.4, eaar8195.
44
RymanN.LagercrantzU.AnderssonL.ChakrabortyR.RosenbergR. (1984). Lack of correspondence between genetic and morphological variability patterns in Atlantic herring (Clupea harengus). Heredity53, 687–704.
45
SchadeF. M.WeistP.DierkingJ.KrummeU. (2022). Living apart together: Long-term coexistence of Baltic cod stocks associated with depth-specific habitat use. PloS One17, e0274476.
46
SickK. (1961). Haemoglobin polymorphisms in fishes. Nature192, 894–896.
47
Snoeijs-LeijonmalmP.SchubertH.RadziejewskaT. (2017). Biological oceanography of the Baltic Sea (Dordrecht: Springer Science+Business Media).
48
SodelandM.JentoftS.JordeP. E.MattingsdalM.AlbretsenJ.KleivenA. R.et al. (2022). Stabilizing selection on Atlantic cod supergenes through a millennium of extensive exploitation. Proc. Natl. Acad. Sci U.S.A.119, e2114904119.
49
SvedängH.SavchukO.VillnäsA.NorkkoA.GustafssonB. G.WikströmS. A.et al. (2022). Re-thinking the “ecological envelope” of Eastern Baltic cod (Gadus morhua): conditions for productivity, reproduction, and feeding over time. ICES J. Mar. Sci.79, 689–708.
50
ThorsenA.KjesbuO. S.FyhnH. J.SolemdalP. (1996). Physiological mechanisms of buoyancy in eggs from brackish water cod. J. Fish Biol.48, 457–477.
51
VallinL.NisslingA. (2000). Maternal effects on egg size and egg buoyancy of Baltic cod, Gadus morhua: implications for stock structure effects on recruitment. Fisheries Res.49, 21–37.
52
WeistP.SchadeF. M.DamerauM.BarthJ. M. B.Dierking JAndreC.et al. (2019). Assessing SNP-markers to study population mixing and ecological adaptation in Baltic cod. PloS One14, e0218127.
53
WestinL.NisslingA. (1991). Effects of salinity on spermatozoa motility, percentage of fertilized eggs and egg development of Baltic cod (Gadus morhua), and implications for cod stock fluctuations in the Baltic. Mar. Biol.108, 5–9.
Summary
Keywords
Atlantic herring, Atlantic cod, genetic adaptation, climate change, Baltic Sea
Citation
Andersson L, André C, Johannesson K and Pettersson M (2023) Ecological adaptation in cod and herring and possible consequences of future climate change in the Baltic Sea. Front. Mar. Sci. 10:1101855. doi: 10.3389/fmars.2023.1101855
Received
18 November 2022
Accepted
23 February 2023
Published
15 March 2023
Volume
10 - 2023
Edited by
Agneta Andersson, Umeå University, Sweden
Reviewed by
Juan Andrés López, University of Alaska Fairbanks, United States; Anders Frugård Opdal, University of Bergen, Norway
Updates

Check for updates
Copyright
© 2023 Andersson, André, Johannesson and Pettersson.
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.
*Correspondence: Leif Andersson, leif.andersson@imbim.uu.se
This article was submitted to Global Change and the Future Ocean, a section of the journal Frontiers in Marine Science
Disclaimer
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.