scholarly journals Seasonal and interannual fluctuations of phytoplankton primary production in the rybinsk water reservoir: effect of the weather and climatic changes

2019 ◽  
Vol 46 (3) ◽  
pp. 270-277
Author(s):  
A. I. Kopylov ◽  
T. S. Maslennikova ◽  
D. B. Kosolapov

Seasonal and multi-annual dynamics of phytoplankton primary production were examined in the Rybinsk water reservoir (Upper Volga) in 2005–2014. Positive links were detected between the average values of plankton primary production during the vegetation period and abiotic factors of the water environment (temperature, solar irradiation, and concentration of biogenic elements), as well as between the primary production and the index of the North Atlantic Oscillation, excluding the data for the abnormally hot summer in 2010. Water temperature increase (up to 27.9°С) in summer 2010 caused a significant increase in phytoplankton production. Significant increase of phytoplankton primary production was noted in the Rybinsk water reservoir during the analysis period.

2018 ◽  
Vol 44 (3) ◽  
pp. 240-247 ◽  
Author(s):  
V. N. Egorov ◽  
V. N. Popovichev ◽  
S. B. Gulin ◽  
N. I. Bobko ◽  
N. Yu. Rodionova ◽  
...  

2021 ◽  
Author(s):  
Francesco Mattei ◽  
Michele Scardi

Phytoplankton primary production is a key oceanographic process. It has intimate relationships with the marine food webs dynamics, the global carbon cycle and the Earth’s climate. The study of phytoplankton production on a global scale relies on indirect approaches due to the difficulties associated with field campaigns. On the other hand, modelling approaches require in situ data for both calibration and validation. In fact, the need for more phytoplankton primary production data was highlighted several times during the last decades.Most of the available primary production datasets are scattered in various repositories, reporting heterogeneous information and missing records. For these reasons we decided to retrieve field measurements of marine phytoplankton primary production from several sources and create a homogeneous and ready to use dataset. We handled missing data and added several variables related to primary production which were not present in the original datasets. Subsequently, we carried out a general analysis of the dataset in which we highlighted the relationships between the variables from a numerical and an ecological perspective.Data paucity is one of the main issues hindering the comprehension of complex natural processes.In this framework, we believe that an updated and improved global dataset, complemented by an analysis of its characteristics, can be of interest to anyone studying marine phytoplankton production and the processes related to it.


1995 ◽  
Vol 52 (5) ◽  
pp. 897-902 ◽  
Author(s):  
Richard D. Robarts ◽  
Michael T. Arts ◽  
David B. Donald

Measurements of phytoplankton primary production in three temporary Alberta ponds indicate a huge potential carbon and energy source for higher trophic levels associated with these systems. The ponds had high levels of NO3-N (maximum 1.6 mg∙L−1) and PO4-P (maximum 3.6 mg∙L−1). Water temperature varied by as much as 15 °C over the diel cycle, while primary production peaked in mid-afternoon. Production rates ranged from 0.6 to 400 mg C∙m−3∙T−1 and were strongly correlated (r = 0.9) with phytoplankton density. Total annual production for the ponds varied from 187 to 3311 kg C. These annual production values are low relative to prairie lakes; however, the number of small temporary ponds is about three orders of magnitude greater than lakes making phytoplankton production of these small water bodies a potentially important source of energy in prairie food webs.


1987 ◽  
Vol 44 (S1) ◽  
pp. s83-s90 ◽  
Author(s):  
J. A. Shearer ◽  
E. J. Fee ◽  
E. R. DeBruyn ◽  
D. R. DeClercq

Phytoplankton primary production and light attenuation were monitored over a 10-yr period in Lake 223, a small, softwater, shield, lake. After 2 yr with no treatment, the lake was treated for 8 yr with sulfuric acid to decrease the epilimnetic pH from about 6.7 to 5.0. Primary production, integrated over time and depth, varied considerably during the 2 pre-treatment years. However, it increased steadily during the first 6 yr of treatment, with a total increase of more than 250%. This production increase was coincident with a decrease in epilimnetic light attenuation. After the 6th year of treatment, the production of the lake decreased although the pH level was held relatively constant during this period. Nearby control lakes tended to show a similar, though less distinct, pattern during this 10-yr period. Thus, it is difficult to separate the effects of acidification from long-term natural variation. However, there was no apparent reduction in community phytoplankton production as a consequence of the acidification and the hypothesis that acidification causes oligotrophication was not supported.


2021 ◽  
Author(s):  
Laurentia Ungureanu ◽  
◽  
Daria Tumanova ◽  
Grigore Ungureanu ◽  
◽  
...  

The article presents the results on the study of productivity of phytoplankton and destruction of organic matter in the Dniester River and Dubasari reservoir in 2020. The values of primary production in Dniester River varied during the vegetation period within the limits of 0.81-3.79 gO2/m-2 24h, and of the destruction of organic substances between 3.9-45.12 gO2/m-2 24h. In the Dubasari reservoir, the primary production of phytoplankton was significantly influenced by the hydrochemical and hydrobiological state of the waters from the middle sector of the Dniester River and varied within 0.572.82 gO2/m-2 24h. The values of destruction of organic substances exceeded the values of primary production and registering values between 2.1623.66 gO2/m-2 24h. The seasonal and spatial fluctuations of phytoplankton primary production values in Dniester river and Dubasari reservoir are followed by successions of phytoplankton structure, changes in nutrient concentrations and oscillations of water transparency values. The values of destruction of organic substances were higher than primary production values. The A/R ratio reflect a negative balance of formation of organic substances in Dniester River and Dubasari reservoir.


2013 ◽  
Vol 10 (11) ◽  
pp. 17725-17783 ◽  
Author(s):  
J. E. Cloern ◽  
S. Q. Foster ◽  
A. E. Kleckner

Abstract. Estuaries are biogeochemical hot spots because they receive large inputs of nutrients and organic carbon from land and oceans to support high rates of metabolism and primary production. We synthesize published rates of annual phytoplankton primary production (APPP) in marine ecosystems influenced by connectivity to land – estuaries, bays, lagoons, fjords and inland seas. Review of the scientific literature produced a compilation of 1148 values of APPP derived from monthly incubation assays to measure carbon assimilation or oxygen production. The median value of median APPP measurements in 131 ecosystems is 185 and the mean is 252 g C m−2 yr−1, but the range is large: from −105 (net pelagic production in the Scheldt Estuary) to 1890 g C m−2 yr−1 (net phytoplankton production in Tamagawa Estuary). APPP varies up to 10-fold within ecosystems and 5-fold from year-to-year (but we only found 8 APPP series longer than a decade so our knowledge of decadal-scale variability is limited). We use studies of individual places to build a conceptual model that integrates the mechanisms generating this large variability: nutrient supply, light limitation by turbidity, grazing by consumers, and physical processes (river inflow, ocean exchange, and inputs of heat, light and wind energy). We consider method as another source of variability because the compilation includes values derived from widely differing protocols. A simulation model shows that different methods can yield up to 3-fold variability depending on incubation protocols and methods for integrating measured rates over time and depth. Although attempts have been made to upscale measures of estuarine-coastal APPP, the empirical record is inadequate for yielding reliable global estimates. The record is deficient in three ways. First, it is highly biased by the large number of measurements made in northern Europe (particularly the Baltic region) and North America. Of the 1148 reported values of APPP, 958 come from sites between 30° N and 60° N; we found only 36 for sites south of 20° N. Second, of the 131 ecosystems where APPP has been reported, 37% are based on measurements at only one location during one year. The accuracy of these values is unknown but probably low, given the large inter-annual and spatial variability within ecosystems. Finally, global assessments are confounded by measurements that are not intercomparable because they were made with a broad range of methods. Phytoplankton primary production along the continental margins is tightly linked to variability of water quality, biogeochemical processes including ocean-atmosphere CO2 exchange, and production at higher trophic levels including species we harvest as food. The empirical record has deficiencies that preclude reliable global assessment of this key Earth-system process. We face two grand challenges to resolve these deficiencies: (1) organize and fund an international effort to use a common method and measure APPP regularly across a network of coastal sites that are globally representative and sustained over time, and (2) integrate data into a unifying model to explain the wide range of variability across ecosystems and to project responses of APPP to regional manifestations of global change as it continues to unfold.


2021 ◽  
Vol 13 (10) ◽  
pp. 4967-4985
Author(s):  
Francesco Mattei ◽  
Michele Scardi

Abstract. Phytoplankton primary production is a key oceanographic process. It has relationships with marine-food-web dynamics, the global carbon cycle and Earth's climate. The study of phytoplankton production on a global scale relies on indirect approaches due to the difficulties of field campaigns. Modeling approaches require in situ data for calibration and validation. In fact, the need for more phytoplankton primary-production data was highlighted several times during the last decades. Most of the available primary-production datasets are scattered in various repositories, reporting heterogeneous information and missing records. We decided to retrieve field measurements of marine phytoplankton production from several sources and create a homogeneous and ready-to-use dataset. We handled missing data and added variables related to primary production which were not present in the original datasets. Subsequently, we performed a general analysis highlighting the relationships between the variables from a numerical and an ecological perspective. Data paucity is one of the main issues hindering the comprehension of complex natural processes. We believe that an updated and improved global dataset, complemented by an analysis of its characteristics, can be of interest to anyone studying marine phytoplankton production and the processes related to it. The dataset described in this work is published in the PANGAEA repository (https://doi.org/10.1594/PANGAEA.932417) (Mattei and Scardi, 2021).


2021 ◽  
Author(s):  
Francesco Mattei ◽  
Michele Scardi

Abstract. Phytoplankton primary production is a key oceanographic process. It has relationships with the marine food webs dynamics, the global carbon cycle and the Earth’s climate. The study of phytoplankton production on a global scale relies on indirect approaches due to field campaigns difficulties. Modelling approaches require in situ data for calibration and validation. In fact, the need for more phytoplankton primary production data was highlighted several times during the last decades. Most of the available primary production datasets are scattered in various repositories, reporting heterogeneous information and missing records. We decided to retrieve field measurements of marine phytoplankton production from several sources and create a homogeneous and ready to use dataset. We handled missing data and added variables related to primary production which were not present in the original datasets. Subsequently, we performed a general analysis of the highlighting the relationships between the variables from a numerical and an ecological perspective. Data paucity is one of the main issues hindering the comprehension of complex natural processes. We believe that an updated and improved global dataset, complemented by an analysis of its characteristics, can be of interest to anyone studying marine phytoplankton production and the processes related to it. The dataset described in this work is published in the PANGAEA repository. DOI: https://doi.pangaea.de/10.1594/PANGAEA.932417 (Mattei and Scardi, 2021)


2014 ◽  
Vol 11 (9) ◽  
pp. 2477-2501 ◽  
Author(s):  
J. E. Cloern ◽  
S. Q. Foster ◽  
A. E. Kleckner

Abstract. Estuaries are biogeochemical hot spots because they receive large inputs of nutrients and organic carbon from land and oceans to support high rates of metabolism and primary production. We synthesize published rates of annual phytoplankton primary production (APPP) in marine ecosystems influenced by connectivity to land – estuaries, bays, lagoons, fjords and inland seas. Review of the scientific literature produced a compilation of 1148 values of APPP derived from monthly incubation assays to measure carbon assimilation or oxygen production. The median value of median APPP measurements in 131 ecosystems is 185 and the mean is 252 g C m−2 yr−1, but the range is large: from −105 (net pelagic production in the Scheldt Estuary) to 1890 g C m−2 yr−1 (net phytoplankton production in Tamagawa Estuary). APPP varies up to 10-fold within ecosystems and 5-fold from year to year (but we only found eight APPP series longer than a decade so our knowledge of decadal-scale variability is limited). We use studies of individual places to build a conceptual model that integrates the mechanisms generating this large variability: nutrient supply, light limitation by turbidity, grazing by consumers, and physical processes (river inflow, ocean exchange, and inputs of heat, light and wind energy). We consider method as another source of variability because the compilation includes values derived from widely differing protocols. A simulation model shows that different methods reported in the literature can yield up to 3-fold variability depending on incubation protocols and methods for integrating measured rates over time and depth. Although attempts have been made to upscale measures of estuarine-coastal APPP, the empirical record is inadequate for yielding reliable global estimates. The record is deficient in three ways. First, it is highly biased by the large number of measurements made in northern Europe (particularly the Baltic region) and North America. Of the 1148 reported values of APPP, 958 come from sites between 30 and 60° N; we found only 36 for sites south of 20° N. Second, of the 131 ecosystems where APPP has been reported, 37% are based on measurements at only one location during 1 year. The accuracy of these values is unknown but probably low, given the large interannual and spatial variability within ecosystems. Finally, global assessments are confounded by measurements that are not intercomparable because they were made with different methods. Phytoplankton primary production along the continental margins is tightly linked to variability of water quality, biogeochemical processes including ocean–atmosphere CO2 exchange, and production at higher trophic levels including species we harvest as food. The empirical record has deficiencies that preclude reliable global assessment of this key Earth system process. We face two grand challenges to resolve these deficiencies: (1) organize and fund an international effort to use a common method and measure APPP regularly across a network of coastal sites that are globally representative and sustained over time, and (2) integrate data into a unifying model to explain the wide range of variability across ecosystems and to project responses of APPP to regional manifestations of global change as it continues to unfold.


Sign in / Sign up

Export Citation Format

Share Document