Linking Surface Ocean and the Deep Sea
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Linking Surface Ocean and the Deep Sea. Richard Lampitt Southampton Oceanography Centre With many thanks to: AvanAntia Dave Billett Adrian Burd Maureen Conte Roger Francois Sus Honjo And all the other people from George Jackson whom I have stolen ideas, data Christine Klaas and images. Corinne Lequere Alex Mustard Susanne Neuer Uta Passow Katya Popova Olivier Ragueneau Richard Rivkin Ben Wigham 1 Primary 50m Production 500m Seabed “Linking Surface Ocean and the Deep Sea.” 1. Processes responsible 2. Temporal, Vertical and Geographic variations 3. Modelling approaches 4. Significance for (and of) benthic communities 5. The major achievements of JGOFS 6. Challenges ahead of us 2 Processes responsible for downward flux: Downwelling-DOM and POM Diffusion - DOM Gravitational sinking - POM Vertical migration -DOM and POM DOC (mMol) 20 30 40 50 60 70 80 90 100 0 100 200 300 400 500 600 Depth (meters) 700 800 900 1000 Richard Rivkin & Louis Legendre 3 What is POM? The “Fabulous Faecal Photo“ -- Debbie Steinberg 4 Bacterial Biomass (mg C l-1) 10-2 10-1 100 101 102 0 100 200 300 400 500 600 Depth (meters) 700 800 900 1000 Richard Rivkin & Louis Legendre Mesozooplankton: A copepod 5 Marine Snow Inanimate particles greater than 0.5mm diameter. The principal vehicles for downward particle flux 6 Zooplankter feeding on marine snow aggregate Lampitt 1995 Breakup of an aggregate By Euphausia pacifica (16 mm in length) Dilling and Alldredge 2000 7 Holo-Cam 2.4 m long In situ holographic Imaging 1.0 m dia. 2.3 tonnes 10 ns pulse 50 litre view Marine Snow particle As recorded by in situ holographic camera 8 Aggregation models: Stickiness Abundance Size Sinking rate “Linking Surface Ocean and the Deep Sea.” 1. Processes responsible 2. Temporal, Vertical and Geographic variations 3. Modelling approaches 4. Significance for (and of) benthic communities 5. The major achievements of JGOFS 6. Challenges ahead of us 9 Means of examination: Inferences from twilight zone oxygen consumption Inferences from primary production Measurement by sediment trap Inference from biological processes e.g. Gut evacuation rates, vertical migration Model output Oxygen uptake rate based on tritium-helium tracer dating of water masses => oxygen demand => Export flux ~3.8 mol m-2 a-1 or 45 g m-2 a-1 Jenkins 1998 10 Annual export of organic carbon as calculated from PTE model, temp and net PP. Laws et al 2000 Means of examination: Inferences from upper ocean processes Measurement by sediment trap Inference from biological processes e.g. Gut evacuation rates, vertical migration Model output 11 BGC Provinces (Longhurst 1995) Qualifying deep ocean sediment trap stations. 12 230Th Trapping Efficiency (%) 0 20 40 60 80 100 120 140 160 180 200 0 500 1000 1500 2000 2500 Depth (m) 3000 3500 4000 4500 5000 ESTOC OMEX-2 L1 OMEX-3 L2 OMEX-4 L3 WAST NABE 34 CAST NABE 48 EAST BOFS ESTOC Yu et al 2001 Scholten et al 2002 Downward particle flux in contrasting environments Apr Jun Aug Oct Dec Feb Apr 700 SW Monsoon 600 Western Indian Ocean /d) 2 3016m depth 500 (Haake et al 1993) 400 300 200 NE Monsoon 100 DW Flux (mg/m 0 100 150 200 250 300 350 400 450 500 Day Number 1986 Jan Mar May Jul Sep Nov Jan 700 600 Equatorial Pacific /d) 2 3618m depth 500 (Honjo et al 1995) 400 300 200 100 DW Flux (mg/m 0 0 50 100 150 200 250 300 350 400 Day Number 1992 13 High frequency variability and episodic flux"events” off Bermuda at 3200m ) 1 - d 3200 m 120 2 - 80 40 0 1980 1985 1990 1995 2000 Mass flux (mg m Maureen Conte BTM upper ocean records: Oct 96 - Jan 97 Depth (m) Fluorescence (V) Passage of a warm mesoscale feature over the time-series site (Dickey et al. 2001) 14 High frequency variability and episodic flux"events” off Bermuda at 3200m ) 1 - d 3200 m 120 2 - 80 40 0 1980 1985 1990 1995 2000 Mass flux (mg m Maureen Conte COLLECTION DATE 10/18- 11/2 - 11/18- 12/2 - 12 /18- 12/31 - 11/2 11/18 12/2 12/18 12/31 1/14 70 Org C flux (mg m Fluorescence Increase at BTM 3.5 ) 1 Nov 27 - 60 d 3.0 2 - 50 MASS 2.5 40 Organic 2.0 Carbon 30 1.5 - 20 2 1.0 d - 1 10 0.5 ) Mass flux (mg m 0 0.0 8 Phytosterols diols+ketols+acylglycerols 1) - 6 d alkenones (x2) 2 - PUFAs(x4) 4 g m m ( 2 Biomarker Flux Maureen Conte 15 Vertical trends Organic Carbon Flux (g/m2/y) 1 10 0 1000 2000 Depth (m) 3000 Martin et al 1987 0.858 4000 J=J100/((Z/100) ) 5000 Downward particulate flux as a function of depth 16 Export Ratio (POC FLUX/PP) 0,00 0,05 0,10 0,15 0 WML 1000 2000 Betzer Depth (m) Pace 3000 Berger ThisAntia study Suess 4000 Significance of the mixed layer depth Export Ratio (POC FLUX/PP) 0,00 0,05 0,10 0,15 0 1000 WML 2000 Betzer Depth (m) Pace 3000 Berger ThisAntia study Suess 4000 Significance of the mixed layer depth 17 THE MINERAL ASSOCIATION MODEL “Free” POC POC associated with ballast POC flux tightly linked to flux of ballast (Armstrong et al., 2002) Annual export of organic carbon as calculated from PTE model, temp and net PP. Laws et al 2000 18 Roger Francois Roger Francois 19 Transfer efficiency Roger Francois Increased settling velocity with depth (Berelson 2002) 20 Conclusion High latitudes have high export ratio but low transfer efficiency to the deep ocean. Explanations may lie in: the effect of SST, the mineral association of the organic carbon Sinking rate of particles Frequency of episodic events. Means of examination: Inferences from primary production Inferences from twilight zone oxygen consumption Measurement by sediment trap Inference from biological processes e.g. Gut evacuation rates, vertical migration Model output 21 Plankton diel vertical migration Alex Mustard (SOC) Potential mechanisms for material transport by plankton migration Surface 1: Mortality 2: Defecation Seasonal Thermocline 3: Excretion 4: Reproduction 5: Respiration Permanent Thermocline 22 Contribution of migrating plankton to downward flux 80 60 40 % Passive flux 20 0 HOT NABE EQPAC BATS (All) BATS (M-A) Subtrop. and trop. Atl From Steinberg modified by Ducklow et al. 2001 Primary 50m Production 500m Migration Advection Seabed 23 “Linking Surface Ocean and the Deep Sea.” 1. Processes responsible 2. Temporal, Vertical and Geographic variations 3. Modelling approaches 4. Significance for (and of) benthic communities 5. The major achievements of JGOFS 6. Challenges ahead of us 1D model: 24 Labile Phytoplankton Nitrate DON Ammonium Slow Bacteria Zooplankton Detritus Fast Detritus Ecosystem model based on Fasham and Evans 1995 The Porcupine Abyssal Plain Study site 60 1000m 2000m Rockall Bank 55 3000m Rockall Trough 200m 4000m 50 PAP JGOFS Porcupine Abyssal Plain 45 North Iberian 40 Abyssal Plain 35 Madeira Abyssal Plain 30 -25 -20 -15 -10 -5 0 West 25 Downward particle flux at the PAP time series site at 3000m depth (49o N 16.5o W) 16 Modelled flux 14 /d) Measured flux 2 12 10 8 6 4 2 Organic carbon Flux (mg/m 0 89 90 91 92 93 94 95 96 97 98 99 Year Lampitt et al 2001 Annual downward flux of organic carbon at 3000m depth. 3 Model Measured /y) 2 2 Flux (g/m 1 0 1988 1990 1992 1994 1996 1998 2000 Year Lampitt et al 2001 26 Global GCM’s with biogeochemistry The Seabed beneath: the ultimate sediment trap 27 The Porcupine Abyssal Plain Study site 60 1000m 2000m Rockall Bank 55 3000m Rockall Trough 200m 4000m 50 PAP JGOFS Porcupine Abyssal Plain 45 North Iberian 40 Abyssal Plain 35 Madeira Abyssal Plain 30 -25 -20 -15 -10 -5 0 West Time lapse photographs Of the seabed at 4000m on eastern side of PAP. Mound is 18cm across. Lampitt 1985 28 15cm long specimen of Benthogone rosea feeding on the phtodetrital layer at 2000m depth 16 100 14 Benthic phytodetritus /d) 2 12 80 10 60 8 6 40 4 20 % Benthic coverage 2 0 Organic carbon Flux (mg/m 0 89 90 91 92 93 94 95 96 97 98 99 Year Lampitt et al 2001 29 A movie of 9 months on the floor of the PAP Billett et al pers comm. Three specimens of the Holothurian Amperima rosea 30 600 Amperima rosea 500 400 300 200 100 2.2 6.7 3.9 Abundance (#/hectare) 0 1989 1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 Year Bett & Wigham Annual downward flux of organic carbon at 3000m depth. 3 Model Measured /y) 2 2 Flux (g/m 1 0 1988 1990 1992 1994 1996 1998 2000 Year Lampitt et al 2001 31 “Linking surface ocean and the deep sea” Major achievement of JGOFS 1. How to measure flux. 2. Temporal and geographical variability in flux and composition of material. 3. Ballast affects transfer efficiency. 4. Benthic communities are highly sensitive to upper ocean processes. 5. Models and data are converging. 6. Establishment of time series sites “Linking surface ocean and the deep sea” Future challenges 1. How does the “Martin curve” change in time and space? 2. What components of the midwater biosphere are the major players? 3. What is the effect of temporal variation in flux on aphotic communities? 4. Develop models. 5. Maintain time series sites. 32 A poor understanding of spatial and temporal distributions can have surprising and adverse effects.