A bottom-up view of the biological pump : modeling source funnels above ocean sediment traps

Abstract The sinking of particles that make up the biological pump is not vertical but nearly horizontal. This means that the locations where the particles are formed may be distant from their collection in a sediment trap. This has led to the development of the concept of the statistical funnel to describe the spatial–temporal sampling characteristics of a sediment trap. Statistical funnels can be used to quantify the source region in the upper ocean where collected particles were created (source funnels) or the location of the collected particles during that deployment (collection funnels). Here, we characterize statistical funnels for neutrally buoyant, surface-tethered and deep-ocean moored trap deployments conducted just north of Hawaii in the Pacific Ocean. Three-dimensional realizations of the synoptic velocity field, created using satellite altimeter and shipboard acoustic Doppler current profiler data, are used to advect sinking particles back to their source for sinking velocities of 50–200 m per day. Estimated source- and collection-funnel characteristics for the 5-day collections made by neutrally buoyant and surface-tethered traps are similar with typical scales of several km to several 10s of km. Deep-moored traps have daily source-funnel locations that can be many 100s of km distant from the trap and have long-term containment radii that range from 140 to 340 km depending upon sinking rate. We assess the importance of particle source regions using satellite estimates of chlorophyll concentration as a surrogate for the spatial distribution of particle export. Our analysis points to the need to diagnose water-parcel trajectories and particle sinking rates in the interpretation of sinking-particle fluxes from moored or freely drifting sediment traps, especially for regions where there are significant horizontal gradients in the export flux. But whence come the little siliceous and calcareous shells…[brought up] from the depth of over miles? Did they live in the surface waters immediately above? Or is their habitat in some remote part of the sea, whence, at their death, the currents were set forth as pallbearers, with the command to deposit the dead corpses where the plummet found them? (Maury, 1858).

[1]  Edward R. Abraham,et al.  The generation of plankton patchiness by turbulent stirring , 1998, Nature.

[2]  D. Siegel,et al.  Mesoscale eddy diffusion, particle sinking, and the interpretation of sediment trap data , 1990 .

[3]  Stanford B. Hooker,et al.  An overview of the SeaWiFS project and strategies for producing a climate research quality global ocean bio-optical time series , 2004 .

[4]  K. Buesseler Do upper-ocean sediment traps provide an accurate record of particle flux? , 1991, Nature.

[5]  J. G. Field,et al.  The dynamic ocean carbon cycle: A midterm synthesis of the joint global ocean flux study , 2000 .

[6]  David M. Karl,et al.  Seasonal and interannual variability in primary production and particle flux at Station ALOHA , 1996 .

[7]  David A. Siegel,et al.  Lagrangian descriptions of marine larval dispersion , 2003 .

[8]  George H. Born,et al.  Operational Altimeter Data Processing for Mesoscale Monitoring , 2002 .

[9]  J. Valdes,et al.  A comparison of the quantity and composition of material caught in a neutrally buoyant versus surface-tethered sediment trap , 2000 .

[10]  D. Karl,et al.  Swimmers: A Recapitulation of the Problem and a Potential Solution , 1989 .

[11]  D. Siegel,et al.  Trajectories of sinking particles in the Sargasso Sea: modeling of statistical funnels above deep-ocean sediment traps , 1997 .

[12]  W. Koeve,et al.  Trajectories of sinking particles and the catchment areas above sediment traps in the northeast Atlantic , 2000 .

[13]  William M. Balch,et al.  A line in the sea , 1994, Nature.

[14]  J. Valdes,et al.  A comparison of major and minor elemental fluxes collected in neutrally buoyant and surface-tethered sediment traps , 2004 .

[15]  J. Valdes,et al.  A Neutrally Buoyant, Upper Ocean Sediment Trap , 2000 .

[16]  T. Saino,et al.  The influence of large-scale environmental changes on carbon export in the North Pacific Ocean using satellite and shipboard data , 2004 .

[17]  M. Fasham,et al.  Ocean biogeochemistry: the role of the ocean carbon cycle in global change , 2003 .

[18]  T. D. Dickey,et al.  Influence of mesoscale eddies on new production in the Sargasso Sea , 1998, Nature.

[19]  Dennis A. Hansell,et al.  Design and evaluation of a “swimmer”‐segregating particle interceptor trap , 1994 .

[20]  F. Bretherton,et al.  A technique for objective analysis and design of oceanographic experiments applied to MODE-73 , 1976 .

[21]  K. Buesseler The decoupling of production and particulate export in the surface ocean , 1998 .

[22]  A. Knap,et al.  A three dimensional time‐dependent approach to calibrating sediment trap fluxes , 1994 .

[23]  Charles R. McClain,et al.  Subtropical Gyre Variability Observed by Ocean Color Satellites , 2004 .

[24]  W. Berelson Particle settling rates increase with depth in the ocean , 2001 .

[25]  Mathias W. Rotach,et al.  A novel approach to atmospheric dispersion modelling: The Puff‐Particle Model , 1998 .

[26]  David M. Karl,et al.  VERTEX: carbon cycling in the northeast Pacific , 1987 .

[27]  D. Siegel,et al.  Mesoscale Eddies, Satellite Altimetry, and New Production in the Sargasso Sea , 1999 .

[28]  M. Behrenfeld,et al.  Independence and interdependencies among global ocean color properties: Reassessing the bio‐optical assumption , 2005 .

[29]  Deborah K. Steinberg,et al.  Revisiting Carbon Flux Through the Ocean's Twilight Zone , 2006, Science.

[30]  D. McGillicuddy,et al.  Dynamical Interpolation of Mesoscale Flows in the TOPEX/ Poseidon Diamond Surrounding the U.S. Joint Global Ocean Flux Study Bermuda Atlantic Time-Series Study Site , 2001 .

[31]  E. Firing Currents observed north of Oahu during the first five years of HOT , 1996 .

[32]  A. Oschlies,et al.  Interannual variability of deep water particle flux in relation to production and lateral sources in the northeast Atlantic , 2005 .

[33]  David A. Siegel,et al.  Climate-driven trends in contemporary ocean productivity , 2006, Nature.

[34]  P. Poulain,et al.  Measurements of the water-following capability of holey-sock and TRISTAR drifters , 1995 .

[35]  S. Fowler,et al.  An assessment of the use of sediment traps for estimating upper ocean particle fluxes , 2007 .

[36]  S. Wakeham,et al.  A new, mechanistic model for organic carbon fluxes in the ocean based on the quantitative association of POC with ballast minerals , 2001 .

[37]  Walter Munk,et al.  Spirals on the sea , 2000, Proceedings of the Royal Society of London. Series A: Mathematical, Physical and Engineering Sciences.

[38]  M. Maury The Physical Geography or The Sea , 1855 .

[39]  T. Platt,et al.  Estimation of new production in the ocean by compound remote sensing , 1991, Nature.

[40]  M. Silver,et al.  Cryptic zooplankton “swimmers” in upper ocean sediment traps , 1990 .

[41]  John D. Wilson,et al.  Review of Lagrangian Stochastic Models for Trajectories in the Turbulent Atmosphere , 1996 .

[42]  David M. Karl,et al.  Vertical fluxes of carbon, nitrogen, and phosphorus in the North Pacific Subtropical Gyre near Hawaii , 1997 .

[43]  D. Mackas,et al.  Spectral Analysis of Zooplankton Spatial Heterogeneity , 1979, Science.

[44]  K. Coale Labyrinth of doom: A device to minimize the “swimmer” component in sediment trap collections , 1990 .

[45]  S. Wakeham,et al.  Field evaluation of a valved sediment trap , 1993 .

[46]  F. Muller‐Karger,et al.  Surface-ocean color and deep-ocean carbon flux: how close a connection? , 1990 .

[47]  Anthony H. Knap,et al.  Overview of the U.S. JGOFS Bermuda Atlantic Time-series Study and the Hydrostation S program , 1996 .

[48]  David A. Siegel,et al.  Carbon‐based ocean productivity and phytoplankton physiology from space , 2005 .

[49]  V. Ittekkot Particle flux in the ocean , 1996 .

[50]  S. Lohrenz,et al.  Rapid coupling of sinking particle fluxes between surface and deep ocean waters , 1992, Nature.

[51]  R. Daley Atmospheric Data Analysis , 1991 .

[52]  N. Sun Inverse problems in groundwater modeling , 1994 .

[53]  Cara Wilson Late Summer chlorophyll blooms in the oligotrophic North Pacific Subtropical Gyre , 2003 .

[54]  Richard S. Lampitt,et al.  Particle flux in deep seas : regional characteristics and temporal variability , 1997 .

[55]  A. Michaels,et al.  Mooring line motions and sediment trap hydromechanics: in situ intercomparison of three common deployment designs , 1994 .