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Systematics: Carbon in Aquatic Plants. Food Web Dynamics Ancient [CO 2 ] aq and pCO 2 concentrations Cell Mechanisms (diffusion/assimilation) in different.

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Presentation on theme: "Systematics: Carbon in Aquatic Plants. Food Web Dynamics Ancient [CO 2 ] aq and pCO 2 concentrations Cell Mechanisms (diffusion/assimilation) in different."— Presentation transcript:

1 Systematics: Carbon in Aquatic Plants

2 Food Web Dynamics Ancient [CO 2 ] aq and pCO 2 concentrations Cell Mechanisms (diffusion/assimilation) in different marine environments Why do we care?

3 Why are there variations in  13 C of aquatic plants? Growth Rate Active vs. Diffusive Inorganic C uptake Type of Organism CCM (CO 2 concentrating mechanisms) pCO 2 and [CO 2 ] aq Water Temperature Cell Size and Geometry

4  13 C variances with Temperature and Latitude Lower  13 C values found in cold, southerly latitude Antarctic waters Less variability shown in Arctic waters

5 Stable carbon isotopes in marine organic matter vary significantly over geologic time. Cretaceous sediments are thought to have existed in a time with elevated CO 2 levels. First study to show relationship between phytoplankton  13 C and CO 2 concentrations.

6 Temperature vs. Latitude and Temperature vs. pCO 2 Colder at higher latitudes pCO 2 has highest variability at coldest temperatures; however high pCO 2 found at all temps

7  13 C vs. [CO 2 ] aq [CO 2 ] aq =  x pCO 2 [CO 2 ] aq is dissolved CO 2 concentration;  is solubility constant (a function of temp) Greater fractionation at higher [CO 2 ] aq and colder temps

8 [CO 2 ] aq =  x pCO 2 Cretaceous [CO 2 ] aq To calculate Cretaceous atmospheric CO 2 concentrations: 1) Low productivity Cretaceous ocean 2) 32°C Cretaceous ocean 3) Modern Antarctic ≈ Cretaceous Atlantic  13 C (low) 4) Similar  13 C means similar [CO 2 ] aq Today [CO 2 ] aq ~ 20  M @ T = -2 to +2°C Plug and chug! Low latitude Cretaceous ocean >800 pmv 2 - 13 x higher than prior estimates

9 Why are there variations in  13 C of aquatic plants? Growth Rate Active vs Diffusive Inorganic C uptake Type of Organism CCM (CO 2 concentrating mechanisms) pCO 2 and [CO 2 ] aq Water Temperature Cell Size and Geometry

10 Phaeodactylum tricornutum Cultured diatom to test 1)growth rate 2)CO 2 variability. Measure  p (aka  isotopic discrimination factor)  p = 1000(  e -  p )/(1000+  p )  p = 1000(  -1)

11 CO 2 (aq) + H 2 O CO 2 (g) CO 2 (aq) Dissolution (Henry’s law, T dependent) H 2 CO 3 H + + HCO 3 - Equilibrium ε HCO 3/ CO 2 = +9‰ @ 25°C Rubisco +  -carboxylase carboxylations ε p = 25-28‰ when growth rate  0

12 Growth Rate vs. Fractionation Low CO 2 = Faster growth rates = Lower  p Remember: Rubisco +  -carboxylase carboxylations ε p = 25-28‰ when growth rate  0

13 Predicted growth rate based off [CO 2 ] aq to be 0.58 d -1. That is almost identical to mean values in the Eq. Pacific (0.585 d -1 ). Mid-range  p values suggest that plankton are not actively transporting carbon (unless <10  mol CO 2 )

14 Cell Volume of diatom in this study = 100  m 3 Average plankton has diameter = 1  m “Cell size effects may change slope of  p vs  /[CO 2 ] aq sufficiently to invalidate growth rates determined from  p and [CO 2 ] aq, but these cases are likely to be the exception rather than the rule.”

15 Hmmm..is Cell Size really not an issue?

16 Why are there variations in  13 C of aquatic plants? Growth Rate Active vs Diffusive Inorganic C uptake Type of Organism CCM (CO 2 concentrating mechanisms) pCO 2 and [CO 2 ] aq Water Temperature Cell Size and Geometry

17 Cell Size effects on  p under variable growth rates Max (25‰) fractionation associated with Rubisco and  - carboxylases at low grow rate or high pCO 2 0.2 SA/V 1.1 SA/V 2.4 SA/V 4.4 SA/V What’s up with Synechococcus? Cell size (and shape) influence  p, with great impacts on large and/or round cells.

18 Cell Size effects on  p under variable growth rates Conclude cells assimilate carbon by diffusive and ACTIVE uptake or conversion of bicarbonate to CO 2 0.2 SA/V 1.1 SA/V 2.4 SA/V For eukaryotes, can scale V/SA and all fall on a single relationship.

19 To understand C isotope fractionation in marine phytoplankton must know:  f 2)Growth rate 3)[CO 2 ] aq 4)Cellular carbon-to-surface area ratio (or volume-to-surface ratio) ε p is greater for small, slow-growing, high surface/volume Such algae have low δ 13 C values ε p is smaller for large, fast growing, low surface/volume Such algae have high δ 13 C values Onshore-Offshore isotope Gradients: For those who love the food webs, this explains the difference in δ 13 C values from coastal to offshore waters. Plankton in upwelling zones grow faster and tend to be bigger. Plankton in offshore regions are smaller and grow slower. The differences can be 2 to 3‰, with lower values offshore. This happens despite the fact that upwelling is bringing up 13 C-depleted water.

20 Why are there variations in  13 C of aquatic plants? Growth Rate Active vs Diffusive Inorganic C uptake Type of Organism CCM (CO 2 concentrating mechanisms) pCO 2 and [CO 2 ] aq Water Temperature Cell Size and Geometry

21 C3 vs. C4 photosynthesis: C4 in the ocean Diatoms growing in low CO 2 conditions have enriched 13 C values - possibly undergo C4 assimilation.

22 Increase in PEP with low CO 2 or Low Zn (≈low carbonic anhydrase)

23 C4 compound malate: 70% after 15 sec and 25% after 2 hr in low Zn conditions Malate is being decarboxylated and released CO 2 is fixed by Rubisco to form sugars and phosphoglyceric acid (PGA) malate sugars PGA

24 Active HCO 3 uptake (PEP and CA activity) rather than passively diffusing dissolved CO 2(aq) results in higher  13 C values (-10‰) Diffusion or Active Uptake in C4 plankton? These values found in diatoms during the Mesozoic…before C4 found in terrestrial land plants

25 Active HCO 3 uptake in this coastal, upwelling region Monterey Bay lower  p than global, Peru diatoms even lower. Attributed to CO 2 concentrating mechanisms. This mechanism is not always restricted to diatoms.

26 Moving on from phytoplankton to coastal macroalgae and seagrasses MAJOR review paper (super wordy yet not very synthetic)

27  13 C differences on large data set 565 species assessed! Low  13 C values (<-30‰) mainly subtidal red macroalgae High  13 C values (>-10‰) mainly green macroalgae and seagrasses

28 Low  13 C values (<-30‰) mainly subtidal red macroalgae (HIGHER  p ) High  13 C values (>-10‰) mainly green macroalgae and seagrasses (LOWER  p ) rely on diffusive CO 2 supply to Rubisco conversion of photosynthate to lipids; more negative 13 C inputs (terr); low photon flux densities lack of pyrenoids result in no CO 2 concentrating mechanisms C4-like metabolism uptake of HCO 3 combined with a CO 2 concentrating mechanism very little leakage

29 What does all this mean? Aquatic plants have complex fractionation and carbon uptake mechanisms. Many factors have been discovered to influence  13 C and  p values and more are to come in the future. Be careful when making trophic level assumptions and predicting ancient CO 2 levels.


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