scholarly journals Temperature and stoichiometric dependence of phytoplankton traits

Ecology ◽  
2019 ◽  
Vol 100 (12) ◽  
Author(s):  
Peter Hofmann ◽  
Antonis Chatzinotas ◽  
W. Stanley Harpole ◽  
Susanne Dunker
Keyword(s):  
Phytoplankton Traits

scholarly journals The importance of phytoplankton trait variability in spring bloom formation

2015 ◽  
Vol 72 (6) ◽  
pp. 1908-1915 ◽  
Author(s):  
Aleksandra M. Lewandowska ◽  
Maren Striebel ◽  
Ulrike Feudel ◽  
Helmut Hillebrand ◽  
Ulrich Sommer
Keyword(s):  
Spring Bloom ◽  
Phytoplankton Bloom ◽  
High Growth ◽  
Phytoplankton Blooms ◽  
Mixing Processes ◽  
Bloom Formation ◽  
Alternative Hypotheses ◽  
Phytoplankton Traits ◽  
Trait Variability

Abstract About 60 years ago, the critical depth hypothesis was proposed to describe the occurrence of spring phytoplankton blooms and emphasized the role of stratification for the timing of onset. Since then, several alternative hypotheses appeared focusing on the role of grazing and mixing processes such as turbulent convection or wind activity. Surprisingly, the role of community composition—and thus the distribution of phytoplankton traits—for bloom formation has not been addressed. Here, we discuss how trait variability between competing species might influence phytoplankton growth during the onset of the spring bloom. We hypothesize that the bloom will only occur if there are species with a combination of traits fitting to the environmental conditions at the respective location and time. The basic traits for formation of the typical spring bloom are high growth rates and photoadaptation to low light conditions, but other traits such as nutrient kinetics and grazing resistance might also be important. We present concise ideas on how to test our theoretical considerations experimentally. Furthermore, we suggest that future models of phytoplankton blooms should include both water column dynamics and variability of phytoplankton traits to make realistic projections instead of treating the phytoplankton bloom as an aggregate community phenomenon.

scholarly journals Phytoplankton traits from long-term oceanographic time-series

2017 ◽  
Vol 576 ◽  
pp. 11-25 ◽  
Author(s):  
CM Mutshinda ◽  
ZV Finkel ◽  
CE Widdicombe ◽  
AJ Irwin
Keyword(s):  
Time Series ◽  
Phytoplankton Traits

Response of phytoplankton traits to environmental variables in French lakes: New perspectives for bioindication

2020 ◽  
Vol 108 ◽  
pp. 105659 ◽  
Author(s):  
J. Derot ◽  
A. Jamoneau ◽  
N. Teichert ◽  
J. Rosebery ◽  
S. Morin ◽  
...  
Keyword(s):  
Environmental Variables ◽  
Phytoplankton Traits

scholarly journals Trait convergence and trait divergence in lake phytoplankton reflect community assembly rules

2020 ◽  
Vol 10 (1) ◽  
Author(s):  
Gábor Borics ◽  
Viktória B-Béres ◽  
István Bácsi ◽  
Balázs A. Lukács ◽  
E. T-Krasznai ◽  
...  
Keyword(s):  
Environmental Stress ◽  
Community Assembly ◽  
Environmental Gradients ◽  
Environmental Filtering ◽  
Limiting Similarity ◽  
Relative Importance ◽  
Trait Divergence ◽  
Phytoplankton Communities ◽  
Trait Convergence ◽  
Phytoplankton Traits

Abstract Environmental filtering and limiting similarity are those locally acting processes that influence community structure. These mechanisms acting on the traits of species result in trait convergence or divergence within the communities. The role of these processes might change along environmental gradients, and it has been conceptualised in the stress-dominance hypothesis, which predicts that the relative importance of environmental filtering increases and competition decreases with increasing environmental stress. Analysing trait convergence and divergence in lake phytoplankton assemblages, we studied how the concepts of ‘limiting similarity’ versus ‘environmental filtering’ can be applied to these microscopic aquatic communities, and how they support or contradict the stress-dominance hypothesis. Using a null model approach, we investigated the divergence and convergence of phytoplankton traits along environmental gradients represented by canonical axes of an RDA. We used Rao’s quadratic entropy as a measure of functional diversity and calculated effect size (ES) values for each sample. Negative ES values refer to trait convergence, i.e., to the higher probability of the environmental filtering in community assembly, while positive values indicate trait divergence, stressing the importance of limiting similarity (niche partitioning), that is, the competition between the phytoplankters. Our results revealed that limiting similarity and environmental filtering may operate simultaneously in phytoplankton communities, but these assembly mechanisms influenced the distribution of phytoplankton traits differently, and the effects show considerable changes along with the studied scales. Studying the changes of ES values along with the various scales, our results partly supported the stress-dominance hypothesis, which predicts that the relative importance of environmental filtering increases and competition decreases with increasing environmental stress.

Phytoplankton traits predict ecosystem function in a global set of lakes

Ecology ◽  
2015 ◽  
Vol 96 (8) ◽  
pp. 2257-2264 ◽  
Author(s):  
Jacob A. Zwart ◽  
Christopher T. Solomon ◽  
Stuart E. Jones
Keyword(s):  
Ecosystem Function ◽  
Phytoplankton Traits
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