Benthic secondary production in eight oligotrophic arctic Alaskan lakes

2010 ◽  
Vol 29 (2) ◽  
pp. 465-479 ◽  
Author(s):  
Robert M. Northington ◽  
Matthew D. Keyse ◽  
Steven R. Beaty ◽  
Stephen C. Whalen ◽  
Eric R. Sokol ◽  
...  
2019 ◽  
Vol 6 ◽  
Author(s):  
Olle Hjerne ◽  
Susanna Hajdu ◽  
Ulf Larsson ◽  
Andrea S. Downing ◽  
Monika Winder

Spring phytoplankton blooms contribute a substantial part to annual production, support pelagic and benthic secondary production and influence biogeochemical cycles in many temperate aquatic systems. Understanding environmental effects on spring bloom dynamics is important for predicting future climate responses and for managing aquatic systems. We analyzed long-term phytoplankton data from one coastal and one offshore station in the Baltic Sea to uncover trends in timing, composition and size of the spring bloom and its correlations to environmental variables. There was a general trend of earlier phytoplankton blooms by 1–2 weeks over the last 20 years, associated with more sunshine and less windy conditions. High water temperatures were associated with earlier blooms of diatoms and dinoflagellates that dominate the spring bloom, and decreased diatom bloom magnitude. Overall bloom timing, however, was buffered by a temperature and ice related shift in composition from early blooming diatoms to later blooming dinoflagellates and the autotrophic ciliate Mesodinium rubrum. Such counteracting responses to climate change highlight the importance of both general and taxon-specific investigations. We hypothesize that the predicted earlier blooms of diatoms and dinoflagellates as a response to the expected temperature increase in the Baltic Sea might also be counteracted by more clouds and stronger winds. A shift from early blooming and fast sedimenting diatoms to later blooming groups of dinoflagellates and M. rubrum at higher temperatures during the spring period is expected to increase energy transfers to pelagic secondary production and decrease spring bloom inputs to the benthic system, resulting in lower benthic production and reduced oxygen consumption.


2008 ◽  
Vol 27 (1) ◽  
pp. 108-119 ◽  
Author(s):  
Allison L. Babler ◽  
Christopher T. Solomon ◽  
Paul R. Schilke

2018 ◽  
Vol 63 (6) ◽  
pp. 530-538 ◽  
Author(s):  
Simon Belle ◽  
Simona Musazzi ◽  
Ilmar Tõnno ◽  
Anneli Poska ◽  
Bérangère Leys ◽  
...  

1979 ◽  
Vol 36 (12) ◽  
pp. 1425-1430 ◽  
Author(s):  
T. F. Waters

Synchrony of cohorts is one of the life history features having most important effects upon the estimation of benthic secondary production, because most methods depend heavily upon recognition of discrete cohorts. The Hynes method, intended to circumvent the necessity of cohort distinction, still depends upon determination of trophic level, voltinism, minimum and maximum sizes, and length of aquatic life. Knowledge of preferred habitat, distribution, and behavior are essential for accurate production estimates. Use of the production:mean standing stock (P/B) ratio (fairly constant at about 5 for cohort P/B of benthic invertebrates) to approximate production from standing stock data, also must account for trophic level, voltinism, and length of aquatic life. Various life history features are compared as to their probable effect on production estimation; in addition, they are compared to the effect of sampling errors. Key words: benthos, life history, production, secondary production, productivity


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