178 citations as recorded by crossref.

1. Phytoplankton species richness, evenness, and production in relation to nutrient availability and imbalance S. Lehtinen et al. https://doi.org/10.1002/lno.10506
2. Baltic Sea Hypoxia Takes Many Shapes and Sizes J. Carstensen & D. Conley https://doi.org/10.1002/lob.10350
3. Expanding ecological assessment by integrating microorganisms into routine freshwater biomonitoring M. Sagova-Mareckova et al. https://doi.org/10.1016/j.watres.2020.116767
4. Natural variability is a large source of uncertainty in future projections of hypoxia in the Baltic Sea H. Markus Meier et al. https://doi.org/10.1038/s43247-021-00115-9
5. Satellite analysis to identify changes and drivers of CyanoHABs dynamics in Lake Taihu Y. Zhang et al. https://doi.org/10.2166/ws.2016.074
6. Mapping Water Quality Parameters with Sentinel-3 Ocean and Land Colour Instrument imagery in the Baltic Sea K. Toming et al. https://doi.org/10.3390/rs9101070
7. The Baltic Sea as a time machine for the future coastal ocean T. Reusch et al. https://doi.org/10.1126/sciadv.aar8195
8. Modelling the effects of benthic fauna on carbon, nitrogen and phosphorus dynamics in the Baltic Sea E. Ehrnsten et al. https://doi.org/10.5194/bg-19-3337-2022
9. Fourteen-Year Record (2000–2013) of the Spatial and Temporal Dynamics of Floating Algae Blooms in Lake Chaohu, Observed from Time Series of MODIS Images Y. Zhang et al. https://doi.org/10.3390/rs70810523
10. Study on the temporal and spatial distribution of chlorophyll a in Erhai Lake based on multispectral data from environmental satellites X. Wang et al. https://doi.org/10.1016/j.ecoinf.2020.101201
11. Assessing cyanobacterial frequency and abundance at surface waters near drinking water intakes across the United States M. Coffer et al. https://doi.org/10.1016/j.watres.2021.117377
12. The increase of cyanobacteria and benthic diatoms over 43 years in upper San Francisco Estuary, California P. Lehman https://doi.org/10.1016/j.ecss.2022.107988
13. Bioconcentration as a key driver of Hg bioaccumulation in high-trophic-level fish D. Amptmeijer & J. Bieser https://doi.org/10.5194/bg-22-7425-2025
14. CyanoTRACKER: A cloud-based integrated multi-platform architecture for global observation of cyanobacterial harmful algal blooms D. Mishra et al. https://doi.org/10.1016/j.hal.2020.101828
15. Water exchange in the Baltic Sea: a historical view of research approaches from basin scales to submesoscale J. Elken & A. Omstedt https://doi.org/10.3389/feart.2025.1598983
16. Stratification, nitrogen fixation, and cyanobacterial bloom stage regulate the planktonic food web structure N. Loick‐Wilde et al. https://doi.org/10.1111/gcb.14546
17. A comparison of FerryBox data vs. monitoring data from research vessels for near surface waters of the Baltic Sea and the Kattegat B. Karlson et al. https://doi.org/10.1016/j.jmarsys.2016.05.002
18. Measurement of Cyanobacterial Bloom Magnitude using Satellite Remote Sensing S. Mishra et al. https://doi.org/10.1038/s41598-019-54453-y
19. MERIS observations of phytoplankton phenology in the Baltic Sea D. Zhang et al. https://doi.org/10.1016/j.scitotenv.2018.06.019
20. Baltic Sea management: Successes and failures R. Elmgren et al. https://doi.org/10.1007/s13280-015-0653-9
21. Comparisons of Satellite and Modeled Surface Temperature and Chlorophyll Concentrations in the Baltic Sea with In Situ Data M. Stramska et al. https://doi.org/10.3390/rs13153049
22. Retracing cyanobacteria blooms in the Baltic Sea U. Löptien & H. Dietze https://doi.org/10.1038/s41598-022-14880-w
23. First Application of IFCB High-Frequency Imaging-in-Flow Cytometry to Investigate Bloom-Forming Filamentous Cyanobacteria in the Baltic Sea K. Kraft et al. https://doi.org/10.3389/fmars.2021.594144
24. Meta‐omic analyses of Baltic Sea cyanobacteria: diversity, community structure and salt acclimation N. Celepli et al. https://doi.org/10.1111/1462-2920.13592
25. Spectral indexation of pixels of MODIS sea surface images for detecting inconstancy of phytopigment composition in water G. Karabashev https://doi.org/10.1016/j.oceano.2021.06.001
26. Baltic Sea ecosystem-based management under climate change: Synthesis and future challenges T. Blenckner et al. https://doi.org/10.1007/s13280-015-0661-9
27. Detection of BMAA in the human central nervous system L. Berntzon et al. https://doi.org/10.1016/j.neuroscience.2015.02.032
28. A Meta-Analysis on Harmful Algal Bloom (HAB) Detection and Monitoring: A Remote Sensing Perspective R. Khan et al. https://doi.org/10.3390/rs13214347
29. Microbial metagenomics in the Baltic Sea: Recent advancements and prospects for environmental monitoring K. Ininbergs et al. https://doi.org/10.1007/s13280-015-0663-7
30. Operational algae bloom detection in the Baltic Sea using GIS and AVHRR data M. Kulawiak https://doi.org/10.5200/baltica.2016.29.02
31. EOLakeWatch; delivering a comprehensive suite of remote sensing algal bloom indices for enhanced monitoring of Canadian eutrophic lakes C. Binding et al. https://doi.org/10.1016/j.ecolind.2020.106999
32. Quantifying Karenia brevis bloom severity and respiratory irritation impact along the shoreline of Southwest Florida R. Stumpf et al. https://doi.org/10.1371/journal.pone.0260755
33. Cercosporin-bioinspired photoinactivation of harmful cyanobacteria under natural sunlight via bifunctional mechanisms M. Liu et al. https://doi.org/10.1016/j.watres.2022.118242
34. Low sediment redox promotes cyanobacteria blooms across a trophic range: implications for management L. Molot et al. https://doi.org/10.1080/10402381.2020.1854400
35. Phytoplankton Bloom Dynamics in the Baltic Sea Using a Consistently Reprocessed Time Series of Multi-Sensor Reflectance and Novel Chlorophyll-a Retrievals V. Brando et al. https://doi.org/10.3390/rs13163071
36. Salinity as a key control on the diazotrophic community composition in the southern Baltic Sea C. Reeder et al. https://doi.org/10.5194/os-18-401-2022
37. Temporal variability of particle flux and its components in the Gotland Basin, eastern Baltic Sea O. Beltran-Perez et al. https://doi.org/10.3389/feart.2023.1171917
38. Incorporation of diazotrophically fixed nitrogen by juvenile fish in a coastal sea J. Taylor et al. https://doi.org/10.1002/lno.70189
39. Harmful algal blooms and their effects in coastal seas of Northern Europe B. Karlson et al. https://doi.org/10.1016/j.hal.2021.101989
40. Single-cell imaging of phosphorus uptake shows that key harmful algae rely on different phosphorus sources for growth N. Schoffelen et al. https://doi.org/10.1038/s41598-018-35310-w
41. On the capacity of Sentinel-1 synthetic aperture radar in detecting floating macroalgae and other floating matters L. Qi et al. https://doi.org/10.1016/j.rse.2022.113188
42. Correlating seasonal changes of naturally produced brominated compounds to biomarkers in perch from the Baltic Sea J. Gustafsson et al. https://doi.org/10.1016/j.aquatox.2021.105984
43. The Influence of Waters of Lake Baikal on the Spatiotemporal Dynamics of Phytoplankton in the Irkutsk Reservoir A. Firsova et al. https://doi.org/10.3390/w16223284
44. Challenges for chlorophyll-a remote sensing in a highly variable turbidity estuary, an implementation with sentinel-2 F. Maciel et al. https://doi.org/10.1080/10106049.2022.2160017
45. Archives of cyanobacterial traits: insights from resurrected Nodularia spumigena from Baltic Sea sediments reveal a shift in temperature optima C. Medwed et al. https://doi.org/10.1093/ismeco/ycae140
46. High capacity for a dietary specialist consumer population to cope with increasing cyanobacterial blooms M. Ledesma et al. https://doi.org/10.1038/s41598-022-26611-2
47. Spatial scales of optical variability in the coastal ocean: Implications for remote sensing and in situ sampling W. Moses et al. https://doi.org/10.1002/2016JC011767
48. Disentangling the impact of nutrient load and climate changes on Baltic Sea hypoxia and eutrophication since 1850 H. Meier et al. https://doi.org/10.1007/s00382-018-4296-y
49. A climate-sensitive, decision-linked multilayer framework for early warning of harmful cyanobacterial blooms: Sequential cross-layer validation for decision support S. Hwang et al. https://doi.org/10.1016/j.wroa.2026.100544
50. Phytoplankton community interactions and environmental sensitivity in coastal and offshore habitats J. Griffiths et al. https://doi.org/10.1111/oik.02405
51. Summer Distribution of Total Suspended Matter Across the Baltic Sea D. Kyryliuk & S. Kratzer https://doi.org/10.3389/fmars.2018.00504
52. Assessing environmental drivers of toxin-producing cyanobacteria and phytoplankton in Antarctic and sub-Antarctic waters J. Brito-Echeverría et al. https://doi.org/10.1007/s00300-025-03375-9
53. Towards operational phytoplankton recognition with automated high-throughput imaging, near-real-time data processing, and convolutional neural networks K. Kraft et al. https://doi.org/10.3389/fmars.2022.867695
54. Environmental drivers of bloom-forming cyanobacteria in the Baltic Sea: Effects of salinity, temperature, and irradiance S. Śliwińska-Wilczewska et al. https://doi.org/10.1016/j.ecss.2019.01.016
55. An evaluation of new particle formation events in Helsinki during a Baltic Sea cyanobacterial summer bloom R. Thakur et al. https://doi.org/10.5194/acp-22-6365-2022
56. Cyanobacterial blooms in the Baltic Sea: Correlations with environmental factors M. Kahru et al. https://doi.org/10.1016/j.hal.2019.101739
57. Earth Observation-Based Cyanobacterial Bloom Index Testing for Ecological Status Assessment in the Open, Coastal and Transitional Waters of the Baltic and Black Seas D. Vaičiūtė et al. https://doi.org/10.3390/rs16040696
58. Canthaxanthin in recent sediments as an indicator of heterocystous cyanobacteria in coastal waters M. Krajewska et al. https://doi.org/10.1016/j.oceano.2018.07.002
59. Perspective: Advancing the research agenda for improving understanding of cyanobacteria in a future of global change M. Burford et al. https://doi.org/10.1016/j.hal.2019.04.004
60. Environmental drivers affecting the status of top commercial fish stocks in the Baltic Sea: review M. Rosciszewski-Dodgson & G. Cirella https://doi.org/10.3389/fmars.2024.1399707
61. Satellites quantify the spatial extent of cyanobacterial blooms across the United States at multiple scales B. Schaeffer et al. https://doi.org/10.1016/j.ecolind.2022.108990
62. Inorganic suspended matter as an indicator of terrestrial influence in Baltic Sea coastal areas — Algorithm development and validation, and ecological relevance S. Kratzer et al. https://doi.org/10.1016/j.rse.2019.111609
63. The Baltic Sea Virome: Diversity and Transcriptional Activity of DNA and RNA Viruses L. Zeigler Allen et al. https://doi.org/10.1128/mSystems.00125-16
64. Evaluation of remote sensing and modeled chlorophyll-a products of the Baltic Sea T. Soomets et al. https://doi.org/10.1117/1.JRS.16.046516
65. Phytoplankton blooms in estuarine and coastal waters: Seasonal patterns and key species J. Carstensen et al. https://doi.org/10.1016/j.ecss.2015.05.005
66. Empirical Model for Phycocyanin Concentration Estimation as an Indicator of Cyanobacterial Bloom in the Optically Complex Coastal Waters of the Baltic Sea M. Woźniak et al. https://doi.org/10.3390/rs8030212
67. Boosting the monitoring of phytoplankton in optically complex coastal waters by combining pigment-based chemotaxonomy and in situ radiometry M. Tamm et al. https://doi.org/10.1016/j.ecolind.2018.10.024
68. Accounting for Dissolved Organic Nutrients in an SPBEM-2 Model: Validation and Verification A. Isaev et al. https://doi.org/10.3390/w12051307
69. Review: The projected hydrologic cycle under the scenario of 936 ppm CO2 in 2100 B. Hu et al. https://doi.org/10.1007/s10040-018-1844-9
70. Limited evidence for common interannual trends in Baltic Sea summer phytoplankton biomass J. Griffiths et al. https://doi.org/10.1371/journal.pone.0231690
71. Basin-specific changes in filamentous cyanobacteria community composition across four decades in the Baltic Sea M. Olofsson et al. https://doi.org/10.1016/j.hal.2019.101685
72. Sedimentation of Nodularia spumigena and distribution of nodularin in the food web during transport of a cyanobacterial bloom from the Baltic Sea to the Kattegat P. Carlsson & D. Rita https://doi.org/10.1016/j.hal.2019.05.005
73. Shipborne nutrient dynamics and impact on the eutrophication in the Baltic Sea U. Raudsepp et al. https://doi.org/10.1016/j.scitotenv.2019.03.264
74. Ocean acidification and desalination: climate-driven change in a Baltic Sea summer microplanktonic community A. Wulff et al. https://doi.org/10.1007/s00227-018-3321-3
75. Reconstructing N2-fixing cyanobacterial blooms in the Baltic Sea beyond observations using 6- and 7-methylheptadecane in sediments as specific biomarkers J. Kaiser et al. https://doi.org/10.5194/bg-17-2579-2020
76. Biochemical characteristics of the sea surface microlayer in the central Baltic Sea and potential signatures of cyanobacterial blooms J. Karnatz et al. https://doi.org/10.5194/bg-23-4145-2026
77. Lipid biomarker signatures as tracers for harmful cyanobacterial blooms in the Baltic Sea T. Bauersachs et al. https://doi.org/10.1371/journal.pone.0186360
78. Cyanobacteria net community production in the Baltic Sea as inferred from profiling pCO2 measurements J. Müller et al. https://doi.org/10.5194/bg-18-4889-2021
79. Effects of changing phytoplankton species composition on carbon and nitrogen uptake in benthic invertebrates P. Hedberg et al. https://doi.org/10.1002/lno.11617
80. Monitoring cyanobacteria blooms with complementary measurements – a similar story told using high-throughput imaging, optical sensors, light microscopy, and satellite-based methods K. Kraft et al. https://doi.org/10.1016/j.hal.2025.102865
81. Unexplained interannual oscillations of cyanobacterial blooms in the Baltic Sea M. Kahru et al. https://doi.org/10.1038/s41598-018-24829-7
82. How Copepods Can Eat Toxins Without Getting Sick: Gut Bacteria Help Zooplankton to Feed in Cyanobacteria Blooms E. Gorokhova et al. https://doi.org/10.3389/fmicb.2020.589816
83. Spatio-temporal variation in stable isotope and elemental composition of key-species reflect environmental changes in the Baltic Sea C. Liénart et al. https://doi.org/10.1007/s10533-021-00865-w
84. Future increase of filamentous cyanobacteria in coastal Baltic Sea predicted by multiple realm models of marine, terrestrial, and climate change scenarios M. Abdelgadir et al. https://doi.org/10.1016/j.ecoinf.2025.103439
85. The Holocene sedimentary record of cyanobacterial glycolipids in the Baltic Sea: an evaluation of their application as tracers of past nitrogen fixation M. Sollai et al. https://doi.org/10.5194/bg-14-5789-2017
86. Suspended matter distribution in the south-eastern Baltic Sea from satellite and in situ data T. Bukanova et al. https://doi.org/10.1080/01431161.2018.1519290
87. An integrated conceptual framework of coupling mechanisms between cyanobacteria and antibiotic resistance genes in freshwater ecosystems Y. Yu et al. https://doi.org/10.48130/biocontam-0026-0001
88. Disaster avoided: current state of the Baltic Sea without human intervention to reduce nutrient loads E. Ehrnsten et al. https://doi.org/10.1002/lol2.10443
89. Phytoplankton as indicators of global warming? J. Cloern et al. https://doi.org/10.1002/lol2.10354
90. Baltic Sea transparency from ships and satellites: centennial trends M. Kahru et al. https://doi.org/10.3354/meps14151
91. An Ocean-Colour Time Series for Use in Climate Studies: The Experience of the Ocean-Colour Climate Change Initiative (OC-CCI) S. Sathyendranath et al. https://doi.org/10.3390/s19194285
92. Cyanobacterial blooms J. Huisman et al. https://doi.org/10.1038/s41579-018-0040-1
93. Cell-free extracellular enzymatic activity is linked to seasonal temperature changes: a case study in the Baltic Sea F. Baltar et al. https://doi.org/10.5194/bg-13-2815-2016
94. Inorganic phosphorus enrichments in Baltic Sea water have large effects on growth, carbon fixation, and N2 fixation by Nodularia spumigena M. Olofsson et al. https://doi.org/10.3354/ame01795
95. Geochemical records of Holocene environmental change in a high latitude coastal basin E. Baas et al. https://doi.org/10.1016/j.chemgeo.2026.123247
96. Patterns of phytoplankton composition in coastal lakes differed by connectivity with the Baltic Sea K. Obolewski et al. https://doi.org/10.1016/j.scitotenv.2018.03.112
97. Factors regulating the coastal nutrient filter in the Baltic Sea J. Carstensen et al. https://doi.org/10.1007/s13280-019-01282-y
98. Harmful Algal Blooms in Eutrophic Marine Environments: Causes, Monitoring, and Treatment J. Lan et al. https://doi.org/10.3390/w16172525
99. Phytoplankton pigments in the Baltic Sea – mathematical description of chlorophylls and carotenoids content in different seasons and regions J. Stoń-Egiert et al. https://doi.org/10.1016/j.oceano.2024.03.003
100. Temporal changes in the remote sensing reflectance at Lake Vänern I. Cazzaniga et al. https://doi.org/10.1016/j.jglr.2023.01.006
101. Nitrogen fixation estimates for the Baltic Sea indicate high rates for the previously overlooked Bothnian Sea M. Olofsson et al. https://doi.org/10.1007/s13280-020-01331-x
102. Diet quality determines blue mussel physiological status: A long-term experimental multi-biomarker approach C. Liénart et al. https://doi.org/10.1016/j.jembe.2023.151894
103. Impact of Spectral Resolution on Quantifying Cyanobacteria in Lakes and Reservoirs: A Machine-Learning Assessment K. Zolfaghari et al. https://doi.org/10.1109/TGRS.2021.3114635
104. Nutrient fluxes from reduced Baltic Sea sediment: effects of oxygenation and macrobenthos N. Ekeroth et al. https://doi.org/10.3354/meps11592
105. Effect of crude extracts from Nodularia spumigena on round goby (Neogobius melanostomus) I. Złoch et al. https://doi.org/10.1016/j.marenvres.2018.05.019
106. A suggested climate service for cyanobacteria blooms in the Baltic Sea – Comparing three monitoring methods B. Karlson et al. https://doi.org/10.1016/j.hal.2022.102291
107. Challenges for mapping cyanotoxin patterns from remote sensing of cyanobacteria R. Stumpf et al. https://doi.org/10.1016/j.hal.2016.01.005
108. Spring blooms in the Baltic Sea have weakened but lengthened from 2000 to 2014 P. Groetsch et al. https://doi.org/10.5194/bg-13-4959-2016
109. Response of Microbial Communities to Changing Climate Conditions During Summer Cyanobacterial Blooms in the Baltic Sea C. Berner et al. https://doi.org/10.3389/fmicb.2018.01562
110. Cyanobacteria Index as a Tool for the Satellite Detection of Cyanobacteria Blooms in the Baltic Sea M. Konik et al. https://doi.org/10.3390/rs15061601
111. Medieval versus recent environmental conditions in the Baltic Proper, what was different a thousand years ago? E. Andrén et al. https://doi.org/10.1016/j.palaeo.2020.109878
112. No observed effect of ocean acidification on nitrogen biogeochemistry in a summer Baltic Sea plankton community A. Paul et al. https://doi.org/10.5194/bg-13-3901-2016
113. Environmental window of cyanobacteria bloom occurrence O. Beltran-Perez & J. Waniek https://doi.org/10.1016/j.jmarsys.2021.103618
114. Water quality near Estonian harbours in the Baltic Sea as observed from entire MERIS full resolution archive L. Sipelgas et al. https://doi.org/10.1016/j.marpolbul.2017.09.058
115. Monitoring the Spatial and Temporal Variations in The Water Surface and Floating Algal Bloom Areas in Dongting Lake Using a Long-Term MODIS Image Time Series M. Cao et al. https://doi.org/10.3390/rs12213622
116. Spectral features of ocean colour radiometric products in the presence of cyanobacteria blooms in the Baltic Sea I. Cazzaniga et al. https://doi.org/10.1016/j.rse.2023.113464
117. Increased nutrient retention and cyanobacterial blooms in a future coastal zone I. Wåhlström et al. https://doi.org/10.1016/j.ecss.2024.108728
118. Copernicus Ocean State Report, issue 6 https://doi.org/10.1080/1755876X.2022.2095169
119. Unscrambling Cyanobacteria Community Dynamics Related to Environmental Factors M. Bertos-Fortis et al. https://doi.org/10.3389/fmicb.2016.00625
120. Fungal parasites infecting N2-fixing cyanobacteria reshape carbon and N2 fixation and trophic transfer A. Feuring et al. https://doi.org/10.1038/s41467-025-67818-x
121. Remote sensing of chlorophyll in the Baltic Sea at basin scale from 1997 to 2012 using merged multi-sensor data J. Pitarch et al. https://doi.org/10.5194/os-12-379-2016
122. Bio-optical properties of the cyanobacterium Nodularia spumigena S. Garaba et al. https://doi.org/10.5194/essd-15-4163-2023
123. Use of Satellite Altimetry Data to Estimate Observation Conditions in Radar Imagery of Outflows from the Kaliningrad and Curonian Bays M. Vrublevsky et al. https://doi.org/10.1134/S0010952525601884
124. Changing seasonality of the Baltic Sea M. Kahru et al. https://doi.org/10.5194/bg-13-1009-2016
125. Human activities and climate variability drive fast‐paced change across the world's estuarine–coastal ecosystems J. Cloern et al. https://doi.org/10.1111/gcb.13059
126. Using Landsat to extend the historical record of lacustrine phytoplankton blooms: A Lake Erie case study J. Ho et al. https://doi.org/10.1016/j.rse.2016.12.013
127. Satellite-based estimation of phytoplankton functional types in the Baltic Sea using a regionalized algorithm E. Canuti https://doi.org/10.1016/j.ocemod.2026.102720
128. The Significance of Internal Variability for Numerical Experimentation and Analysis H. von Storch & L. Lin https://doi.org/10.3390/atmos15111317
129. Warming Amplifies the Frequency of Harmful Algal Blooms with Eutrophication in Chinese Coastal Waters X. Xiao et al. https://doi.org/10.1021/acs.est.9b03726
130. Projected future climate change and Baltic Sea ecosystem management A. Andersson et al. https://doi.org/10.1007/s13280-015-0654-8
131. Application of Satellite-Derived Summer Bloom Indicators for Estonian Coastal Waters of the Baltic Sea I. Rahn et al. https://doi.org/10.3390/app131810211
132. Long-term acclimation to warming improves the adaptive ability of Microcystis aeruginosa to high temperature: Based on growth, photosynthetic activity, and microcystin production Z. Wang et al. https://doi.org/10.1016/j.envpol.2023.122727
133. Synergistic Use of Synthetic Aperture Radar and Optical Imagery to Monitor Surface Accumulation of Cyanobacteria in the Curonian Lagoon F. De Santi et al. https://doi.org/10.3390/jmse7120461
134. Blooms of filamentous cyanobacteria reduce zooplankton quality and pelagic food web efficiency T. Bandara et al. https://doi.org/10.1002/lno.70122
135. Developing cyanobacterial bloom indicators from spatiotemporal differences in productivity and water quality across a lake-stream network J. Brown et al. https://doi.org/10.1016/j.ecolind.2024.112838
136. Interannual and seasonal variability of the air–sea CO2 exchange at Utö in the coastal region of the Baltic Sea M. Honkanen et al. https://doi.org/10.5194/bg-21-4341-2024
137. Biodiversity in Marine Ecosystems—European Developments toward Robust Assessments A. Heiskanen et al. https://doi.org/10.3389/fmars.2016.00184
138. Why large cells dominate estuarine phytoplankton J. Cloern https://doi.org/10.1002/lno.10749
139. Examining the impact of water quality and meteorological drivers on primary productivity in the Baltic Sea S. Budakoti https://doi.org/10.1016/j.marpolbul.2024.117266
140. A method for examining temporal changes in cyanobacterial harmful algal bloom spatial extent using satellite remote sensing E. Urquhart et al. https://doi.org/10.1016/j.hal.2017.06.001
141. The Importance of Mesodinium rubrum at Post-Spring Bloom Nutrient and Phytoplankton Dynamics in the Vertically Stratified Baltic Sea I. Lips & U. Lips https://doi.org/10.3389/fmars.2017.00407
142. Regional Algorithm of Quantitative Assessment of Cyanobacteria Blooms in the Eastern Part of the Gulf of Finland Using Satellite Ocean Color Data S. Vazyulya et al. https://doi.org/10.3390/jmse11091746
143. Niche separation of Baltic Sea cyanobacteria during bloom events by species interactions and autecological preferences F. Eigemann et al. https://doi.org/10.1016/j.hal.2018.01.001
144. Use of food web knowledge in environmental conservation and management of living resources in the Baltic Sea M. Eero et al. https://doi.org/10.1093/icesjms/fsab145
145. Biogeochemical functioning of the Baltic Sea K. Kuliński et al. https://doi.org/10.5194/esd-13-633-2022
146. Prediction of present and future spatial occurrence of cyanobacteria and the toxin nodularin in the Baltic Sea M. Abdelgadir et al. https://doi.org/10.5194/bg-23-4321-2026
147. Human impacts and their interactions in the Baltic Sea region M. Reckermann et al. https://doi.org/10.5194/esd-13-1-2022
148. A review on remote-sensing-based harmful cyanobacterial bloom monitoring services N. Janatian et al. https://doi.org/10.1016/j.rsase.2025.101488
149. A retrospective study of fatty acid composition in Baltic herring (Clupea harengus membras) caught at three locations in the Baltic Sea (1973–2009) Y. Lind et al. https://doi.org/10.1093/icesjms/fsx127
150. Variability of chlorophyll a concentration in surface waters of the open Baltic Sea M. Stramska & J. Jakacki https://doi.org/10.1016/j.oceano.2024.02.003
151. The bloom of nitrogen-fixing cyanobacteria in the northern Baltic Proper stimulates summer production J. Svedén et al. https://doi.org/10.1016/j.jmarsys.2016.07.003
152. A MODIS-Based Novel Method to Distinguish Surface Cyanobacterial Scums and Aquatic Macrophytes in Lake Taihu Q. Liang et al. https://doi.org/10.3390/rs9020133
153. Toxic effects of cyanotoxins in teleost fish: A comprehensive review S. Banerjee et al. https://doi.org/10.1016/j.aquatox.2021.105971
154. Future projections of record-breaking sea surface temperature and cyanobacteria bloom events in the Baltic Sea H. Meier et al. https://doi.org/10.1007/s13280-019-01235-5
155. The Copernicus Marine Environment Monitoring Service Ocean State Report K. von Schuckmann et al. https://doi.org/10.1080/1755876X.2016.1273446
156. What initiates cyanobacterial blooms in the Baltic Sea? M. Kahru et al. https://doi.org/10.1016/j.hal.2025.102924
157. Nitrogen fixation by cyanobacteria stimulates production in Baltic food webs A. Karlson et al. https://doi.org/10.1007/s13280-015-0660-x
158. Application of Web-GIS and Geovisual Analytics to Monitoring of Seabed Evolution in South Baltic Sea Coastal Areas M. Kulawiak & A. Chybicki https://doi.org/10.1080/01490419.2018.1469557
159. Large-Scale Nutrient Dynamics in the Baltic Sea, 1970–2016 O. Savchuk https://doi.org/10.3389/fmars.2018.00095
160. Copernicus Marine Service Ocean State Report, Issue 5 K. von Schuckmann et al. https://doi.org/10.1080/1755876X.2021.1946240
161. Partitioning the Relative Importance of Phylogeny and Environmental Conditions on Phytoplankton Fatty Acids A. Galloway et al. https://doi.org/10.1371/journal.pone.0130053
162. Satellite monitoring of harmful algal blooms in the Western Basin of Lake Erie: A 20-year time-series M. Sayers et al. https://doi.org/10.1016/j.jglr.2019.01.005
163. Deoxygenation impacts on Baltic Sea cod: Dramatic declines in ecosystem services of an iconic keystone predator A. Orio et al. https://doi.org/10.1007/s13280-021-01572-4
164. Perspectives and Scenarios for Coastal Fisheries in a Social-Ecological Context: An Ecosystem Service Assessment Approach in the German Baltic Sea M. von Thenen et al. https://doi.org/10.3390/su152215732
165. Inter-Annual Variability Of Spring And Summer Blooms In The Eastern Baltic Sea O. Beltran-Perez & J. Waniek https://doi.org/10.3389/fmars.2022.928633
166. Assessing energy return on investment for harvest of wild Nodularia spumigena during blooms in the Baltic Sea J. Pechsiri & F. Gröndahl https://doi.org/10.1111/jiec.13170
167. Rehabilitating the cyanobacteria – niche partitioning, resource use efficiency and phytoplankton community structure during diazotrophic cyanobacterial blooms K. Olli et al. https://doi.org/10.1111/1365-2745.12437
168. Processes for the sustainable stewardship of marine environments H. Scharin et al. https://doi.org/10.1016/j.ecolecon.2016.04.010
169. A 30-year (1992-2021) time-series of Kd(PAR) at the North Sea - Baltic Sea transitional zone - trends in light attenuation and Chlorophyll a L. Lund-Hansen https://doi.org/10.1016/j.rsma.2023.103367
170. Assessing human effects on the Baltic Sea ecosystem R. Elmgren https://doi.org/10.1007/s13280-020-01463-0
171. Modeling cyanobacteria life cycle dynamics and historical nitrogen fixation in the Baltic Proper J. Hieronymus et al. https://doi.org/10.5194/bg-18-6213-2021
172. Long‐term changes in trophic ecology of blue mussels in a rapidly changing ecosystem C. Liénart et al. https://doi.org/10.1002/lno.11633
173. Cyanotoxin Occurrence and Diversity in 98 Cyanobacterial Blooms from Swedish Lakes and the Baltic Sea C. Dirks et al. https://doi.org/10.3390/md22050199
174. Key issues in detecting lacustrine cyanobacterial bloom using satellite remote sensing F. Lian https://doi.org/10.18307/2021.0301
175. Improving trophic position estimates from amino acid stable isotopes by accounting for physiology and environment A. Karlson et al. https://doi.org/10.1002/ecs2.4944
176. Hierarchical modeling of Baltic Sea phytoplankton reveals increasing cyanobacteria dominance J. de Haast et al. https://doi.org/10.1002/lno.70280
177. Climate change effects on plankton recruitment from coastal sediments P. Hedberg et al. https://doi.org/10.1093/plankt/fbad060
178. Effect of Wind and Hydrographic Conditions on the Transport of Vistula Lagoon Waters Into the Baltic Sea: Results of a Combined Experiment O. Lavrova et al. https://doi.org/10.1109/JSTARS.2016.2580602