NSF Annual PI Workshop, September 18-20, 2013 Presentation 3: Linking measurements to processes Bruce Menge Oregon State University Processes: Individuals.

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Presentation transcript:

NSF Annual PI Workshop, September 18-20, 2013 Presentation 3: Linking measurements to processes Bruce Menge Oregon State University Processes: Individuals to population: growth, survival, calcification Community: species interactions, disturbance, stress, species composition Ecosystem: nutrient cycling, food web dynamics, material flows, carbon fixation, nitrification Measurements: Carbonate chemistry (pH, pCO 2, total alkalinity), O 2, T, salinity, light (PAR)

A.Assuming an ecosystem context, what are the needs? 1.Field surveys (e.g., Feely et al. 2008) 2.Time series (e.g., HOTS, BATS, MBARI) 3.Reliable instrumentation (e.g., SeaFET) 4.Determination of impacts of OA on ecosystems B.What are the biological responses? 1. Lab mesocosms – species (life history stages) 2.Observations along natural gradients 3. Field mesocosms C.Current knowledge? Natural range of variability that organisms will experience and can tolerate? 1. Field data on OA 2.Laboratory mesocosms 3.Field results a. CO2 vents D. Current paradigm for experiments linking biogeochemistry to processes? 1. Field mesocosms 2. Comparative-experimental approach (C-EA): perform field experiments at multiple locations varying in (e.g.) CO 2, upwelling 4. Hybrid approaches: Linking C-EA, field measurements to mechanism, impact a. Combining lab and field approaches b. Using field-derived OA measures in mesocosms c. Mechanistic links: genomics, genetics, molecular physiology, organismal physiology in ecological and evolutionary context Outline: Linking Measurements to Processes

A.Assuming an ecosystem context, what are the needs? 1.Field surveys (e.g., Feely et al. 2008) – Need similar surveys along all coasts 2.Time series (e.g., HOTS, BATS, MBARI) – Need more, greater geographic coverage 3.Reliable instrumentation (e.g., SeaFET) – see X-Prize discussion 4.Determination of impacts of OA on ecosystems – Still the holy grail B.What are the biological responses? 1. Lab mesocosms – species (life history stages) – Valuable first steps 2.Observations along natural gradients – Geographically limited, but great insights 3. Field mesocosms – Better control of environment, expensive, more realistic, but limitations 4. Comparative-experimental approach: perform field experiments at multiple locations along environmental gradients (e.g., in CO 2, upwelling); co-location of sensors and biology – Powerful approach, expensive, most useful in dynamic CO 2 environments Outline: Linking Measurements to Processes Current gaps, issues, limitations

What do we know now? Field data on OA Hofmann et al PLoS One Recent datasets using SeaFETs focus attention on geographic and temporal variability among major habitats, regions Coastal variability >> open ocean Temperate coastal > tropical Striking spatial variation within system type Vent systems and coastal regions offer good potential systems for field investigation of ecosystem impacts Datasets still limited in length, spatial coverage

What do we know now? Field data on OA Data from Chan et al. (2013) in prep. For all sites, this figure shows frequency of time at pH 7.7 or less OMEGAS (Ocean Margin Ecosystem Group for Acidification Studies) Project 2011 Data

Findlay et al Est Coast Shelf Sci Findlay et al Ecology What do we know now? Linking lab mesocosms to field Using lab mesocosm studies to predict population performance at limits of geographic range – Semibalanus balanoides in UK Energy allocation in post-larvae likely to shift to metabolism & shell formation w. inc T and reduced pH Result? Trouble at both ends but esp. southern (reproduction reduced at T >~10 o C; shell has more high Mg, dissolution likely greater)

Fabricius et al Nat Cl Chnge Field studies of CO 2 effects on coral communities: New Guinea Normal reefModerate CO 2 High CO 2 Neg. eff.Pos. eff. Community Recruits seagrass sediments Porites performance Conclude: Communities in moderate CO 2 profoundly different from those in ambient CO 2 What do we know now? Obs along natural gradients

Riebesell et al Biogeosciences Field mesocosms near Svalbard: Early results At the community level, diatoms were outcompeted by smaller phytoplankton Short-term but valuable approach Current paradigms? Field mesocosms Arctic pelagic ecosystem dynamics: mesocosm study Minimal effect of CO 2 before nutrient addition After nutrient addition, most measures stimulated then inhibited by high CO 2

Pespeni et al Int Comp Biology Across six sites from central OR to southern CA, Expression of genes likely responding to acidification in S. purpuratus changes upon exposure to high CO 2. Current paradigms? Linking in situ pH to adaptive potential using mesocosm experiments Variation in gene expression along an upwelling/CO 2 coastal mosaic Strongylocentrotus purpuratus OA gradient  Study Sites (OR & CA) Allele freq – ambient CO 2 (d1) Allele freq – hi CO 2 (d7) Allele Frequencies Suggests genetic variation is associated with local pH regime, and thus, that adaptation potential exists in this species

Rose et al. in preparation Current paradigms? Hybrid/consortium approach Low pH vs. Growth Response of the “ecosystem engineer,” Mytilus californianus, to OA Larvae severely impacted by OA (Gaylord et al JEB) Adult growth is affected by OA, but evidently POSITIVELY! GIFET: pH & T Fluorometer: chl-a Field transplants to measure growth Time series from field deployed sensors Total R 2 = 0.411

Intertidal oceanography Nearshore oceanography OA mesocosm experiments Molecular physiological mechanisms & genetics Modified, from Ann Russell & Gretchen Hofmann Field experiments Where should we go? Research Consortium Approach