Biological response to iron fertilization in the eastern equatorial Pacific (IronEx II). III. Dynamics of phytoplankton growth and microzooplankton grazing
By Landry, J. Constantinou, M. Latasa, Susan L. Brown, R. Bidigare, M. Ondrusek. 2000
253 citations recorded by the source corpus.
Subfields: Global and Planetary Change, Oceanography
View Paper: https://www.semanticscholar.org/paper/04945b20a12d14523f00bf6f16f114841df4c1c9
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In Global and Planetary Change
In Oceanography
Citations in the corpus
- Novel interactions between phytoplankton and microzooplankton: their influence on the coupling between growth and grazing rates in the sea (2002, background): “…response to high production of fast-growing prey, would result in the relationship described above; such a relationship is indicated by the strong correlations between microzooplankton biomass and community grazing rates found during the second iron fertilization experiment (Landry et al., 2000).”
- The evolution and termination of an iron‐induced mesoscale bloom in the northeast subarctic Pacific (2005, background): “1872 We initiated and mapped a diatom bloom in the northeast subarctic Pacific by concurrently adding dissolved iron and the tracer sulfur hexafluoride to a mesoscale patch of high-nitrate, low-chlorophyll waters.”
- Microzooplankton grazing in Phaeocystis and diatom-dominated waters in the southern North Sea in spring (2004, background): “…are widely reported to be dominant grazers of phytoplankton production in many marine systems (e.g. Strom and Strom, 1996; Edwards et al., 1993; Landry et al., 2000; StelfoxWiddicombe et al., 2000) few studies have quantified microzooplankton grazing in natural Phaeocystis-rich environments…”
- Growth physiology and fate of diatoms in the ocean: a review (2005, background): “In coastal, as well as open ocean environments, 45–110% of the standing stock of diatoms can be removed each day by microzooplankton grazing (Verity et al., 1996a; Nejstgaard et al., 1997; Landry et al., 2000a; Calbet, 2001; Strom et al., 2001; Olson and Strom, 2002; Suzuki et al., 2002).”
- Biological response to iron fertilization in the eastern equatorial Pacific (ironex II). I. Microplankton community abundances and biomass (2000, methodology): “In the 2 companion papers in this issue, we describe the population and community responses of mesozooplankton (Rollwagen Bollens & Landry 2000, in this issue) and taxa-specific rates of phytoplankton growth and microzooplankton grazing (Landry et al. 2000, in this issue).”
- Some thoughts on the concept of colimitation: Three definitions and the importance of bioavailability (2008, unknown): “In iron enrichment experiments, the addition of iron allows eukaryotic phytoplankton, usually diatoms, to race ahead of the remainder of the phytoplankton community presumably through a combination of rapid growth rates and a temporary lack of grazing pressure (Landry et al. 2000).”
- Phytoplankton spatial distribution patterns along the western Antarctic Peninsula (Southern Ocean) (2003, result): “Previous studies showed the greater importance of protist grazers in iron-stimulated phytoplankton assemblages in pelagic waters of the Southern Ocean and other marine ecosystems (Boyd et al. 2000, Landry et al. 2000), which agrees with our finding of low macrozooplankton in this region.”
- Co-limitation of diatoms by iron and silicic acid in the equatorial Pacific (2011, background): “…often results in enhanced phytoplankton growth and nutrient uptake in multi-day deck incubations compared to in situ rates; however, for some groups, such as the picophytoplankton, the higher light levels can be detrimental (e.g., Latasa et al., 1997; Landry et al., 2000a; Selph et al., 2011).”
- Depth-stratified phytoplankton dynamics in Cyclone Opal, a subtropical mesoscale eddy (2008, methodology): “Whether this occurs or not depends, however, on the coupling of production, grazing and remineralization processes ( Landry et al., 2000b ).”
- The role of viruses in marine phytoplankton mortality (2007, unknown): “…losses due to grazing (G, in µg C L-1 d-1) and, by adaptation, the losses due to viruses (V, in µg C L-1 d-1) were calculated using the formulas of Landry et al. (2000); CP = µ × Pm ; G = Mg × Pm ; V = Mv × Pm; and Pm = P0 × [e(µ - Mg+v) t - 1]/(µ - Mg+v)t, where µ (in d-1) is the…”