2017
DOI: 10.1016/j.dsr.2016.12.013
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Planktonic food web structure at a coastal time-series site: I. Partitioning of microbial abundances and carbon biomass

Abstract: Biogeochemistry in marine plankton communities is strongly influenced by the activities of 38 microbial species. Understanding the composition and dynamics of these assemblages is 39 essential for modeling emergent community-level processes, yet few studies have examined all 40 of the biological assemblages present in the plankton, and benchmark data of this sort from time-41 series studies are rare. Abundance and biomass of the entire microbial assemblage and 42 mesozooplankton (>200 μm) were determined verti… Show more

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Cited by 23 publications
(8 citation statements)
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“…Additionally, significant correlations were observed between depth and several OTUs classified as Chloroflexi, Delta- and Gammaproteobacteria, Bacteriodetes, Gemmatimonadetes and Acidobacteria. Depth also served as a proxy of other unmeasured physicochemical environmental factors (e.g., light, pressure, and a redox gradient) along the land-sea transect ( Caron et al, 2017 ).…”
Section: Resultsmentioning
confidence: 99%
“…Additionally, significant correlations were observed between depth and several OTUs classified as Chloroflexi, Delta- and Gammaproteobacteria, Bacteriodetes, Gemmatimonadetes and Acidobacteria. Depth also served as a proxy of other unmeasured physicochemical environmental factors (e.g., light, pressure, and a redox gradient) along the land-sea transect ( Caron et al, 2017 ).…”
Section: Resultsmentioning
confidence: 99%
“…Destructive sampling techniques were mostly fisheries-based, using various types of benthic and pelagic fisheries tools, such as beam trawls (Jennings et al, 2002;Brind'Amour et al, 2009;Bell et al, 2016), otter trawls (Koulouri et al, 2015;Bell et al, 2016), plankton nets (Blachowiak-Samolyk et al, 2007;Anjusha et al, 2013;Caron et al, 2017), fyke nets (Thollot et al, 1999;Bergström et al, 2016), gillnets (Di Beneditto et al, 2012;Prado et al, 2014;Donadi et al, 2017), seine nets (Faye et al, 2011), bottom dredges (Jennings et al, 2001), crab traps (Mancinelli et al, 2013), and eel traps (Heldal et al, 2018). Other particular sampling techniques included infauna sampling with VanVeen and Smith-McIntyre grabs (Soto and Escobar-Briones, 1995;Dunton et al, 2012;Whalen et al, 2013;Lovvorn et al, 2015;Tu et al, 2015;Misic et al, 2016) and USNEL box corer (Tselepides et al, 2000), scraping of rocky surfaces with chisel for the collection of algae and benthic invertebrates (Lin et al, 1999;Kroeker et al, 2011), manual hand collection of macroinvertebrates by means of SCUBA diving (Tewfik et al, 2005;O'Gorman et al, 2008;Wing et al, 2018), as well as experimental dynamite fishing (Hansen et al, 2012).…”
Section: Methodological Aspectsmentioning
confidence: 99%
“…Photosynthetic pico-nanoplankton cell abundance was converted to carbon biomass using constant cell-to-carbon conversion factors based on the literature. Conversion factors used were, respectively 255 and 2590 fgC cell −1 for the cyanobacterium Synechococcus and for picoeukaryotes (Buitenhuis et al, 2012), and 183 fgC cell −1 for nanoeukaryotes (Caron et al, 1994(Caron et al, , 2017. We assume the cyanobacterium Synechococcus represented the majority of the resident cyanobacteria.…”
Section: Carbon Biomass and Conversion Factormentioning
confidence: 99%