2015
DOI: 10.1016/j.pocean.2015.01.007
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The oceanographic toolbox for the collection of sinking and suspended marine particles

Abstract: Article history: Available online xxxx a b s t r a c t Marine particles play a central role in controlling the transport, cycling, and inventories of many major elements and trace elements and isotopes throughout the oceans. Studies seeking to elucidate the biogeochemical roles of marine particles often require reliable ways to collect them from the ocean. Here, we review the oceanographic toolbox of techniques and instrumentation that are employed to collect both suspended and sinking particles. With these to… Show more

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Cited by 63 publications
(60 citation statements)
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References 128 publications
(173 reference statements)
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“…Marsay et al [] find a correlation between the remineralization length scale and the average upper 500 m water temperature, using average values from eight different stations. McDonnell et al [] observe significantly higher remineralization rates in the warm subtropical gyres compared to respiration rates close to Antarctica, detected with RESPIRE sediment traps. Weber et al [] reconstruct the POC flux on the basis of the deep ocean nutrient concentration in a data‐constrained circulation model, their results support a temperature influence on remineralization.…”
Section: Discussionmentioning
confidence: 99%
“…Marsay et al [] find a correlation between the remineralization length scale and the average upper 500 m water temperature, using average values from eight different stations. McDonnell et al [] observe significantly higher remineralization rates in the warm subtropical gyres compared to respiration rates close to Antarctica, detected with RESPIRE sediment traps. Weber et al [] reconstruct the POC flux on the basis of the deep ocean nutrient concentration in a data‐constrained circulation model, their results support a temperature influence on remineralization.…”
Section: Discussionmentioning
confidence: 99%
“…Chemical measurements on the two classes can then be used to infer the rates of aggregation and disaggregation that connect them. Although classifying marine particles into two classes is a clear simplification of reality (see Burd 2013), it complies with the operational definition of suspended and sinking particles in modern sampling techniques (Bishop et al 2012, McDonnell et al 2014) so that net rates of interest can be directly constrained. Furthermore, this approach captures and distinguishes the key characteristics of particles in the ocean: Most of the particle mass in the ocean is made up of small, suspended particles with relatively long 6 residence times (months to years), whereas most of the vertical mass flux is carried out by relatively rare, large, sinking particles with short residence times (days) (Bacon et al 1985, Bishop et al 1977, Clegg & Whitfield 1990, McCave 1975, Nozaki et al 1987.…”
Section: Approaches To Studying Particle Dynamicsmentioning
confidence: 99%
“…Particle collection for chemical analysis is typically accomplished through filtration or by sediment traps (Bishop et al 2012, Buesseler et al 2007, Fowler & Knauer 1986, McDonnell et al 2014. Particles collected through filtration typically represent suspended particles, and particles collected by sediment traps represent sinking particles.…”
Section: The Two-particle-class Modelmentioning
confidence: 99%
“…They collect either solely sinking particles or bulk seston containing a mixture of sinking and suspended particles in unknown proportions. These techniques include: Direct particle‐picking that is biased toward larger‐sized visible aggregates (Delong et al ., ). Sediment and gel traps for the collection of sinking particles (Lecleir et al ., ; Fontanez et al ., ). In situ size‐fractionated filtration with underwater submersible pumps collecting both suspended and sinking particles (McDonnell et al ., ). Bulk seawater sampling with Niskin bottles followed by size‐fractionated filtration collecting both suspended and sinking particles which is the main method used to date for microbial community analyses (Bižić‐Ionescu et al ., ). …”
Section: Introductionmentioning
confidence: 97%