Phytoplankton Primary Production and Light Attenuation Responses to the Experimental Acidification of a Small Canadian Shield Lake

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):  
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.


2006 ◽  
Vol 63 (5) ◽  
pp. 1115-1129 ◽  
Author(s):  
David C Depew ◽  
Stephanie J Guildford ◽  
Ralph E.H Smith

Planktonic primary production, chlorophyll a (chl a), underwater light climate, and total phosphorus were measured at 18 stations during 2001 and 2002 in eastern Lake Erie to characterize spatial and seasonal patterns in this system colonized by dreissenid mussels (Dreissena spp.). Areal production rates and chl a displayed a seasonal pattern typical of the Laurentian Great Lakes, with highest production in the early and late summer. Daily and seasonal (May–October) primary production was significantly lower nearshore than offshore. Although light attenuation was similar between nearshore and offshore, the nearshore light climate was generally more favorable for phytoplankton because of shallower mixing depths. However, chl a was significantly lower nearshore, which accounted for most of the depression in production rates. Nearshore chl a was lower than predicted from relationships with total phosphorus in comparable dreissenid-free systems. Offshore, subepilimnetic communities contributed up to 67% of daily production but only up to 19% of seasonal production. The depression of chl a and primary production in the nearshore was a reversal from historic patterns in eastern Lake Erie and from the pattern traditionally expected in large lakes. Decreased external nutrient loading and dreissenid colonization may both have contributed to this new spatial pattern, but dreissenids appear to be key agents.


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.


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.


1979 ◽  
Vol 36 (6) ◽  
pp. 657-666 ◽  
Author(s):  
J. G. Stockner ◽  
D. D. Cliff ◽  
K. R. S. Shortreed

Observations of phytoplankton production, abundance, and distribution were made at 16 stations in the Strait of Georgia from 1975 to 1977. The discharge of turbid Fraser River water exerts a strong influence on phytoplankton production and distribution in surface waters by rapid light attenuation and horizontal advection. At plume boundaries and back eddies where light conditions improve, very high production occurs (> 4–5 g C∙m−2∙d−1), because of rapidly replenished nutrients supplied by the Fraser River. Advection, turbulence, zooplankton grazing, and summer nitrate depletion collectively impart a heterogeneous distribution pattern to phytoplankton in the surface waters of the Strait of Georgia. Mean annual production varies from lows of 150 g C∙m−2 in Fraser River plume to highs of over 500 g C∙m−2 in sheltered boundary waters of inlets. Recent increases in ammonia and nitrate from land drainage and domestic sewage, mainly through the Fraser River, are related to increases in phytoplankton standing stocks in the Strait. Key words: phytoplankton, primary production, eutrophication, coastal marine, phytoplankton distribution and succession, chlorophyll a, pelagic


2021 ◽  
Author(s):  
Dmitry V. Sein ◽  
Anton Y. Dvornikov ◽  
Stanislav D. Martyanov ◽  
William Cabos ◽  
Vladimir A. Ryabchenko ◽  
...  

Abstract. We investigate the effect of variable marine biogeochemical light absorption on Indian Ocean sea surface temperature (SST) and how this affects the South Asian climate. In twin experiments with a regional Earth System Model, we found that the average SST is lower over most of the domain when variable marine biogeochemical light absorption is taken into account, compared to the reference experiment with a constant light attenuation coefficient equal to 0.06 m-1. The most significant deviations (more than 1 °C) in SST are observed in the summer period. A considerable cooling of subsurface layers occurs, and the thermocline shifts upward in the experiment with the activated biogeochemical impact. Also, the phytoplankton primary production becomes higher, especially during periods of winter and summer phytoplankton blooms. The effect of altered SST variability on climate was investigated by coupling the ocean models to a regional atmosphere model. We find the largest effects on the amount of precipitation, particularly during the monsoon season. In the Arabian Sea, the reduction of the transport of humidity across the equator leads to a reduction of the large-scale precipitation in the eastern part of the basin, reinforcing the reduction of the convective precipitation. In the Bay of Bengal, it increases the large-scale precipitation, countering convective precipitation decline. Thus, the key impacts of including the full biogeochemical coupling with corresponding light attenuation, which in turn depends on variable chlorophyll-a concentration, include the enhanced phytoplankton primary production, a shallower thermocline, decreased SST and water temperature in subsurface layers, with cascading effects upon the model ocean physics which further translates into altered atmosphere dynamics.


1979 ◽  
Vol 30 (4) ◽  
pp. 449 ◽  
Author(s):  
BD Scott

Primary production and phytoplankton biomass in Port Hacking, an estuary 24 km south of Sydney, were measured at 2-4 day intervals for one year. Primary production was measured by in situ 14C uptake, and phytoplankton biomass by 14C uptake at constant irradiance and in vivo chlorophyll fluorescence. Measurements of solar irradiance and light attenuation by the water column were also obtained. Nutrient concentrations were measured both in the estuary and in the coastal waters adjacent to Port Hacking. The short-term variations of phytoplankton biomass were found to be due to both estuarine hydrological events resulting in the release of regenerated nutrients, and to coastal hydrological events, where slope water intrusions enriched the coastal waters and were introduced into the estuarine basins by tidal exchange. The annual variation of primary production in Port Hacking was related to the annual variation of solar irradiance. A minor part of the annual variation appeared to be due to temperature, but the nature of this relationship was uncertain.


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)


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