Microzooplankton Stoichiometric Plasticity Inferred from Modeling Mesocosm Experiments in the Peruvian Upwelling Region

Marki, Alexandra; Pahlow, Markus

doi:10.3389/fmars.2016.00258

Cited by 6 publications

(6 citation statements)

References 56 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Elser et al (2000) stated that "Stoichiometric theory predicts that homeostatic herbivores consuming elementally imbalanced food will exhibit strongly diminished efficiency of conversion of ingested carbon into new biomass." Also, Marki and Pahlow (2016) reported, somewhat in contrast with previous views that put greater emphasis on polyunsaturated fatty acid and the N and P content (Andersen & Hessen, 1991;Elser et al, 2000;Giordano, 2013;Giordano et al, 2015), that the N:C ratio of prey biomass has a strong influence on microzooplankton nutrition. Further work is needed on the effect of nutrition (Støttrup & Jensen, 1990), and on the interaction of quality of the algal food and algal toxins on the life cycle (Prince et al, 2006;Turner, Ianora, Miralto, Laabir, & Esposito, 2001), on the entire life cycle of the grazer.…”

Section: Discussioncontrasting

confidence: 71%

“…This observation may be relevant to our discussion because it has been shown that a lower C:N ratio has a strong positive influence on copepods growth (Touratier, Legendre, & Vézina, 1999) and that copepods growth efficiency in terms of N is typically higher than that in terms of C (Jones & Flynn, 2005;Støttrup & Jensen, 1990). Also, Marki and Pahlow (2016) reported, somewhat in contrast with previous views that put greater emphasis on polyunsaturated fatty acid and the N and P content (Andersen & Hessen, 1991;Elser et al, 2000;Giordano, 2013;Giordano et al, 2015), that the N:C ratio of prey biomass has a strong influence on microzooplankton nutrition. Also, Marki and Pahlow (2016) reported, somewhat in contrast with previous views that put greater emphasis on polyunsaturated fatty acid and the N and P content (Andersen & Hessen, 1991;Elser et al, 2000;Giordano, 2013;Giordano et al, 2015), that the N:C ratio of prey biomass has a strong influence on microzooplankton nutrition.…”

Section: Discussionmentioning

confidence: 76%

See 1 more Smart Citation

A tale of two eras: Phytoplankton composition influenced by oceanic paleochemistry

et al. 2018

View full text Add to dashboard Cite

We report the results of simple experiments which support the hypothesis that changes in ocean chemistry beginning in the Mesozoic Era resulted in an increase in the nutritional quality per mole of C and per cell of planktonic algal biomass compared to earlier phytoplankton. We cultured a cyanobacterium, a diatom, a dinoflagellate, and a green alga in media mimicking aspects of the chemistry of Palaeozoic and Mesozoic-Cenozoic oceans. Substantial differences emerged in the quality of algal biomass between the Palaeozoic and Mesozoic-Cenozoic growth regimes; these differences were strongly affected by interspecific interactions (i.e., the co-existence of different species alters responses to the chemistry of the medium). The change was in the direction of a Mesozoic-Cenozoic biomass enriched in protein per mole C, although cells contained less carbon overall. This would lead to a lower C:N ratio. On the assumption that Mesozoic-Cenozoic grazers' assimilation of total C was similar to that of their earlier counterparts, their diet would be stoichiometrically closer to their C:N requirement. This, along with an increase in mean cell size among continental shelf phytoplankton, could have helped to facilitate observed evolutionary changes in the Mesozoic marine fauna. In turn, increased grazing pressure would have operated as a selective force for the radiation of phytoplankton clades better equipped with antigrazing capabilities (sensu lato), as found widely in phytoplankton with biomineralization. Our results emphasize potential links between changing seawater chemistry, increased predation pressure and the rise to ecological dominance of chlorophyll a+c algae in Mesozoic oceans. The experiments also suggest a potential role for ocean chemistry in changes of marine trophic structure from the Palaeozoic to the later Mesozoic Era.

show abstract

Section: Discussioncontrasting

confidence: 71%

Section: Discussionmentioning

confidence: 76%

A tale of two eras: Phytoplankton composition influenced by oceanic paleochemistry

et al. 2018

View full text Add to dashboard Cite

show abstract

“…Optimality-based modeling in combination with trait/trade-off based modeling is a promising approach in this direction (Smith et al 2011(Smith et al , 2014 and has been applied to the global scale for phytoplankton (Arteaga et al 2014). For zooplankton, few optimality-based models exist (Pahlow and Prowe 2010;Visser and Fiksen 2013;Marki and Pahlow 2016;Su et al 2018) and none have been applied globally.…”

Section: Food Web Structure and Ecosystem Functionsmentioning

confidence: 99%

Biogeography of zooplankton feeding strategy

Prowe

Visser

Andersen

et al. 2018

Limnology & Oceanography

View full text Add to dashboard Cite

The trait‐based approach is increasingly used in plankton ecology to understand diversity, community dynamics, and biogeography. While on the global scale phytoplankton traits are fairly well established, zooplankton traits are only beginning to be understood. One taxa‐transcending aspect of zooplankton diversity is the distinction between ambush and active feeding strategies. We present a global‐scale empirical estimate of feeding strategy derived from copepod abundance observations, which for the first time suggests a distinct trait biogeography with ambush feeding as the dominant feeding strategy at higher, but not at lower latitudes. To explain this trait biogeography, we develop a minimalist trade‐off based model of feeding strategies based on encounter rates between zooplankton predators and their phyto‐ and zooplankton prey. Encounter rates are governed by the two traits, size and motility, that trade off against predation risk. Coupled to a three‐dimensional dynamic green ocean model, our idealized encounter model captures the observed feeding strategy biogeography. In the model, this pattern arises from competing dominant food chains within the food web and is shaped by a trophic trait cascade of active vs. passive feeding in adjacent trophic levels. The dominant feeding strategy structures the pathways and efficiency of energy and biomass transfer through the model food web, with consequences for primary production, export and higher trophic levels. Understanding feeding strategies is therefore important for fisheries, biogeochemical cycling, and long‐term predictions of ecosystem dynamics and functioning by global dynamic green ocean models.

show abstract

“…, Boersma et al. , Marki and Pahlow ). The amount of fatty acids, and especially of polyunsaturated fatty acids (PUFA), in the algae also seems to be crucial for their consumers (Mueller‐Navarra , Rossoll et al.…”

Section: Hypothesesmentioning

confidence: 97%

“…What makes an algal cell more or less palatable to selective feeders, however, is still a matter of debate and may depend on the grazer's life stage and physiological state (e.g., Sterner and Robinson 1994). High ratios between C and other nutrients (especially N and P) may be an indication of low biomass quality for grazers (Checkley 1980, L€ urling and Van Donk 1997, Touratier et al 1999, Sterner and Elser 2002, Hessen et al 2007, Malzahn et al 2007, Boersma et al 2008, Marki and Pahlow 2016. The amount of fatty acids, and especially of polyunsaturated fatty acids (PUFA), in the algae also seems to be crucial for their consumers (Mueller-Navarra 1995, Rossoll et al 2012); copepods, for example, depend on their diet for the essential supply of x3 PUFAs, which they cannot synthetize (Fraser et al 1989, Støttrup andJensen 1990).…”

mentioning

confidence: 99%

Different Nutritional Histories Affect the Susceptibility of Algae to Grazing

Venuleo

Giordano

2019

Journal of Phycology

View full text Add to dashboard Cite

We hypothesize that algae with different cell compositions are differently perceived by their predators and consequently subjected to selective grazing. Five populations of the diatom Phaeodactylum tricornutum that differed in organic and elemental composition, but were otherwise identical, were generated by acclimation to distinct growth regimes. The different populations were then mixed in pairs and subjected to predation by either the rotifer Brachionus plicatilis or the copepod Acartia tonsa. The presence of rotifers had no impact on the ratio between any two algal populations. The presence of copepods, however, affected the ratio between algae previously acclimated to a medium containing 1 mM NH4+ and algae acclimated to 0.5 mM NO3−, and to either a lower irradiance or a higher CO2 concentration. We discuss the possible reason for the influence of different nutritional histories on the vulnerability of algae to predators. The differential impact of grazers on the growth of algae with different nutritional histories may result from direct selective grazing (i.e., grazers can detect algae with the most palatable cell composition), alone or combined to an asymmetric utilization of the nutrients regenerated after predation by co‐existing algal populations. Our results strongly suggest that the nutritional history of algae can influence the relationships between phytoplankton and grazers and hint at the possibility that algal cell composition is potentially subject to natural selection, because it influences the probability that algae survive predation.

show abstract

Microzooplankton Stoichiometric Plasticity Inferred from Modeling Mesocosm Experiments in the Peruvian Upwelling Region

Cited by 6 publications

References 56 publications

A tale of two eras: Phytoplankton composition influenced by oceanic paleochemistry

A tale of two eras: Phytoplankton composition influenced by oceanic paleochemistry

Biogeography of zooplankton feeding strategy

Different Nutritional Histories Affect the Susceptibility of Algae to Grazing

Contact Info

Product

Resources

About