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 Science The 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 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 (CO 2 system measurements) -Part III: Onboard multidriver (pH, light, UV, DOC...) perturbation experiments of natural Arctic pelagic systems Database development of Arctic CO 2 change

~35 hrs one-way ~1000 km Crossings every 3 days Sampling 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 Feely et al., 2008, Science Express. Tyrrell et al., 2008, Biogeosciences. Thomas et al., 2008, submitted.

MonthMilestone (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 SpainNERC-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) 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