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      Environmental variables driving species and genus level changes in annual plankton biomass

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          Abstract

          Abiotic variables subject to global change are known to affect plankton biomasses, and these effects can be species-specific. Here, we investigate the environmental drivers of annual biomass using plankton data from the Gulf of Finland in the northern Baltic Sea, spanning years 1993–2016. We estimated annual biomass time-series of 31 nanoplankton and microplankton species and genera from day-level data, accounting for the average phenology and wind. We found wind effects on day-level biomass in 16 taxa. We subsequently used state-space models to connect the annual biomass changes with potential environmental drivers (temperature, salinity, stratification, ice cover and inorganic nutrients), simultaneously accounting for temporal trends. We found clear environmental effects influencing the annual biomasses of Dinobryon faculiferum, Eutreptiella spp., Protoperidinium bipes, Pseudopedinella spp., Snowella spp. and Thalassiosira baltica and indicative effects in 10 additional taxa. These effects mostly concerned temperature, salinity or stratification. Together, these 16 taxa represent two-thirds of the summer biomass in the sampled community. The inter-annual variability observed in salinity and temperature is relatively low compared to scenarios of predicted change in these variables. Therefore, the potential impacts of the presented effects on plankton biomasses are considerable.

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          Impact of climate change on marine pelagic phenology and trophic mismatch.

          Phenology, the study of annually recurring life cycle events such as the timing of migrations and flowering, can provide particularly sensitive indicators of climate change. Changes in phenology may be important to ecosystem function because the level of response to climate change may vary across functional groups and multiple trophic levels. The decoupling of phenological relationships will have important ramifications for trophic interactions, altering food-web structures and leading to eventual ecosystem-level changes. Temperate marine environments may be particularly vulnerable to these changes because the recruitment success of higher trophic levels is highly dependent on synchronization with pulsed planktonic production. Using long-term data of 66 plankton taxa during the period from 1958 to 2002, we investigated whether climate warming signals are emergent across all trophic levels and functional groups within an ecological community. Here we show that not only is the marine pelagic community responding to climate changes, but also that the level of response differs throughout the community and the seasonal cycle, leading to a mismatch between trophic levels and functional groups.
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            A global pattern of thermal adaptation in marine phytoplankton.

            Rising ocean temperatures will alter the productivity and composition of marine phytoplankton communities, thereby affecting global biogeochemical cycles. Predicting the effects of future ocean warming on biogeochemical cycles depends critically on understanding how existing global temperature variation affects phytoplankton. Here we show that variation in phytoplankton temperature optima over 150 degrees of latitude is well explained by a gradient in mean ocean temperature. An eco-evolutionary model predicts a similar relationship, suggesting that this pattern is the result of evolutionary adaptation. Using mechanistic species distribution models, we find that rising temperatures this century will cause poleward shifts in species' thermal niches and a sharp decline in tropical phytoplankton diversity in the absence of an evolutionary response.
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              ESTIMATING COMMUNITY STABILITY AND ECOLOGICAL INTERACTIONS FROM TIME-SERIES DATA

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                Author and article information

                Contributors
                Role: Corresponding Editor
                Journal
                J Plankton Res
                J. Plankton Res
                plankt
                Journal of Plankton Research
                Oxford University Press
                0142-7873
                1464-3774
                November 2019
                19 December 2019
                19 December 2019
                : 41
                : 6
                : 925-938
                Affiliations
                [1 ] ENVIRONMENTAL AND MARINE BIOLOGY , ÅBO AKADEMI UNIVERSITY, Artillerigatan 6, 20520 ÅBO, Finland
                [2 ] Marine Research Laboratory , MARINE RESEARCH CENTRE, FINNISH ENVIRONMENT INSTITUTE, Agnes Sjöbergin Latu 2, 00790 HELSINKI, Finland
                [3 ] Bioeconomy team , NOVIA UNIVERSITY OF APPLIED SCIENCES, Raseborgsvägen 9, 10600 EKENäS, Finland
                [4 ] DEPARTMENT OF MARINE SYSTEMS , TALLINN UNIVERSITY OF TECHNOLOGY, Akadeemia Rd. 15A, 12618 TALLINN, Estonia
                Author notes
                CORRESPONDING AUTHOR: louise.forsblom@ 123456abo.fi
                Author information
                http://orcid.org/0000-0001-6583-176X
                Article
                fbz063
                10.1093/plankt/fbz063
                6946087
                31920210
                ae107e53-4691-4210-af87-16c3b913691f
                © The Author(s) 2019. Published by Oxford University Press.

                This is an Open Access article distributed under the terms of the Creative Commons Attribution License ( http://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.

                History
                : 18 January 2019
                : 12 November 2019
                : 18 November 2019
                : 18 November 2019
                Page count
                Pages: 14
                Funding
                Funded by: Åbo Akademi 10.13039/501100008019
                Funded by: Svenska Kulturfonden 10.13039/501100007247
                Award ID: 140043
                Funded by: Ministry of Education and Research 10.13039/501100003510
                Award ID: IUT19-6
                Funded by: Estonian Science Foundation 10.13039/501100001837
                Award ID: 6752
                Award ID: 8930
                Funded by: EU Regional Development
                Funded by: Environmental Conservation and Environmental Technology R&D Program
                Award ID: 3.2.0802.11-0043
                Funded by: Estonian National Open Sea Monitoring Program
                Funded by: Finnish Environment Institute 10.13039/501100013300
                Funded by: Academy of Finland 10.13039/501100002341
                Award ID: 276947
                Categories
                Original Article

                Plant science & Botany
                density dependence,population dynamics,phytoplankton,sampling bias,state-space models

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