WP 3: Present-day observations of ocean chemistry and biogeography

1. in-situ carbonate chemistry data

2. in-situ calcifier and other biological data

3. synthesis of in-situ data

particular emphasis on high latitudes

Partners involved: LOV, UiB, NOCS, SAHFOS, MRI-IS, UGOT, IOC-UNESCO

Sir Alister Hardy Foundation for Ocean ScienceThe Continuous Plankton Recorder Survey

Network of CPR routes towed in N Atlantic since 1931

CPR being launched from ferry “Pride of Bilbao”

Arctic Cruise, summer 2008

Leif Anderson, Sara Jutterström et al., Göteborg University

Atlantic Water S > 35 Polar Water S < 34.4 Arctic Water S 34.6 - 34.8

IS

IRM

Sampling near Iceland and Icelandic Sea

Jon Olafsson et al., Hafrannsóknastofnunin and the University of Iceland

UiB (Bergen) WP3 contribution

• Pan Nordic Sea, Barents Sea and Fram Strait cruise in July-August 2008 – Berths available on RV G.O.Sars.

-Part I: Carbon biogeochemical surveys across the Nordic Seas-Part II: Support for the EPOCA mesocosm study (CO2 system measurements)-Part III: Onboard multidriver (pH, light, UV, DOC...) perturbation experiments of natural Arctic pelagic systems

•Database development of Arctic CO2 change

~35 hrs one-way~1000 kmCrossings every 3 daysSampling every month

Ushant

Sampling for both carbonate chemistry and coccolithophores

David Hydes, Toby Tyrrell et al., National Oceanography Centre, Southampton

29 April 2005

Availability of platform for taking samples

Point B Time series station

O. Passafiume, L. Mousseau, S. Comeau, J.-P. Gattuso (CNRS-LOV)

• Part of the “Rade” observation network

• Weekly sampling at the surface and 50 m

• DIC and TA measured by SNAPO-CO2 (N. Metzl, Univ. Paris 6)

For informing models and towards identification of ‘tipping points’ and ‘hot spots’

Synthesise EPOCA in-situ data and also data from outside the project

Synthesis of in-situ data

0.0

1.0

2.0

3.0

4.0

5.0

6.0

March May July November

CaCO

3 saturation coefficient

calcite, central Baltic

aragonite, central Baltic

calcite, Gulf of Riga

calcite, Bothnian Bay

Feely et al., 2008, Science Express.

Tyrrell et al., 2008, Biogeosciences.

Thomas et al., 2008, submitted.

Month Milestone (M) or Deliverable (D) Participants

3 (M) Interact with modellers to decide whether to alter set of measurements taken so as to provide more useful information for models, and steps to be taken if new measurements requested (input from WP 9, 10 and 11). Produce report on outcome.

all

6 (M) Provide information on natural seasonal and geographical ranges in pH and carbonate chemistry, to inform ranges used in experiments (output to Theme 2)

NERC-NOCS, UiB

18 (D) Production of quality-controlled datasets of carbonate chemistry and other chemical variables (over time and space)

LOV, NERC-NOCS, UiB, UGOT, MRI-IS

18 (D) Quality-controlled datasets of coccolithophore distributions between UK and Spain NERC-NOCS

24 (D) Atlas of calcifer historical trends and biogeographical changes over time, according to Continuous Plankton Recorder data

SAHFOS

24 (D) Quality-controlled datasets of (calcifying) organismal distributions along CPR routes throughout the study area

SAHFOS

30 (D) Quality-controlled datasets of carbonate chemistry and other chemical variables (over time and space)

LOV, UiB, UGOT, MRI-IS

42 (D) Quality-controlled datasets of carbonate chemistry and other chemical variables (over time and space)

LOV, UiB, UGOT, MRI-IS

48 (D) Quality-controlled datasets of carbonate chemistry and other chemical variables (over time and space)

LOV, UiB, UGOT, MRI-IS

48 (D) Report comparing biological and chemical trends, leading to information on "tipping points" linked to WP13

NERC-NOCS, IOC-UNESCO

48 (D) Report identifying possible "hotspots" NERC-NOCS, UiB

Milestones and Deliverables

Most deliverables are quality-controlled in-situ datasets…

First Milestone

Get advice from modellers on data collection, and produce report thereon (month 3)

What in-situ data would be most useful, and in what format would you prefer it presented?

Deliverable

Atlas of calcifier historical trends and biogeographical changes over time, according to CPR data (month 24)

Echinodermata larvae

Abundance

-12 -10 -8 -6 -4 -2 0 246

48

50

52

54

050100150200250300350400450500550

600650

7007508008509009501000

Average distribution (August) 1958-2006

Note: (Abundance is average numbers of individuals per CPR sample)

WP 3: RISKS• cruise cancellations

• instrument failures

• data fails QC

• …

WP 3: DEPENDENCIES

• advice from modellers on what data to collect and what form to present it in