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Ecological Stoichiometry

       Alison marklein
          Ecl 290 37
        Alan hastings
        Oct 16, 2012
Why is stoichiometry important?
• Conservation of mass and energy
• Growth is limited by nutrients, that are required
  in fairly strict ratios
• Ecosystems have a finite amount of elements and
  inputs/outputs

• Without limiting nutrients, energy, or
  space, theoretical population dynamics may give
  infinite growth (implicitly included in carrying
  capacity)
• Humans have
  much more C,N,P
  as a fraction of
  total mass than
  occurs in the earth
  as a whole
• Must be
  preferentially
  accumulating
  these elements
                        Sterner and Elser, 2002
Stoichiometry of bio-chemicals




                      Sterner and Elser, 2002
N vs. P

• P available in rock form and decreases as
  ecosystem age
• N can be fixed by organisms from the atmosphere
  to inorganic bio-available forms (but this is
  energetically expensive and requires lots of P as
  ATP)

• Aquatic ecosystems often thought to be P limited
  because N can be brought in via fixation. Also
  affected by anthropogenic N inputs (runoff, dep)
                   Walker and Syers 1976; Vitousek et al. 2010
N, P, and co- limitation

                          Large purple bars
                          suggests co-
                          limitation of N
                          and P. This could
                          be supported by
                          re-allocation of
                          one nutrient to
                          get another to
                          optimize growth


                   Elser et al., Ecology Letters, 2008
Reiners 1986
Background info: Redfield Ratios
• Phytomass displays an average C:N:P of
  106:16:1
• This is similar to the C:N:P of dissolved
  matter in the ocean




                             Redfield, American Naturalist, 1958
NO3- from PO43-
         Oceaninferred and CNP deviations
  N* - processes
                                   Mean Phytoplankton
                                   106:16:1

                                       1:16 P:N line




N* = NO3- – 16PO43- + 2.9   Gruber and Sarmiento 199
N/P
                 Tropical Temperate
Leaf litter (reg) 43:1   12:1
Leaf:            43:1    25:1
Leaf litter:     63:1    27:1




  All forest microbes      9:1
  Fungi                    15:1
  Bacteria                 7:1
  Enzymes                  1:1

McGroddy et al. 2004; Townsend
et al. ; Cleveland et al. 2007;
Reiners 1986; Sinsabaugh et al.;
N/P
         Plant                                 Tropical Temperate
 Litterfall                   Leaf litter (reg) 43:1   12:1
                     Uptake   Leaf:            43:1    25:1
                              Leaf litter:     63:1    27:1
         Litter

                                All forest microbes      9:1
                                Fungi                    15:1
                                Bacteria                 7:1
                                Enzymes                  1:1

                              McGroddy et al. 2004; Townsend
Microbial        Inorganic    et al. ; Cleveland et al. 2007;
Biomass          nutrients    Reiners 1986; Sinsabaugh et al.;
Pelagic CNP in eutrophic lake with food
          web manipulation
• Q: How do tropic dynamics and biogeochemistry
  interact in regulating lake ecosystem dynamics
  during a whole-lake food-web manipulation?
• HYP: elimination of planktivorous fishes would
  result in a pelagic food web in which P-rich
  zooplankton (for example, Daphnia) would have a
  greatly enhanced role in regulating internal
  nutrient availability and would differentially
  increase the availability of N relative to P.

                                 Elser et al. 2000 Ecosystems
Responses to Pike

•  + Pike
•  3 yrs later:
     - minnows
• 4 yrs later:
      + cladoceran
Daphnia
       - zooplankton N:P
       - seston C:P
       + DON and DOP




                                     Elser et al. 2000 Ecosystems
N fixation
• Low external N/P ratio
• Internal processes driven
  by food-web changes
  fixed enough N relative to
  P in the early season to
  allow phytoplankton to
  grow similarly to 25 years
  previously
• Then cyanobacteria
  crashed
• Suggests threshold N/P
  ratio for N fixation to be
  energetically favorable




 Elser et al. 2000 Ecosystems
5 aspects of stoichiometric effects
• Zooplankton became more P rich (lower C:P and N:P ratio)
• The importance of zooplankton as a nutrient pool in the
  water column greatly increased
• Increased zooplankton biomass increased overal dissolved
  nutrient availability (more for N than P). This caused shift
  away from N-fixing cyanobacteria
• Seston C:P and N:P ratios were low, indicating relatively
  rapid groth rates of remaining phytoplankton biomass.
  Decreased phytoplankton bioass reflected less of the
  limiting nutrient P
• Sedimentation appears to have been altered by food web
  manipulation


                                         Elser et al. 2000 Ecosystems
Conclusions
• Consumer-driven nutrient cycling processes
  appeared to have increased N:P ratio in the
  available nutrient supply.
• This should result in decreased dominance of
  cyanobacteria in phytoplankton community
• Introduction of piscivorous pike and elimination
  of planktivorous fish generated low N:P sink
  (Daphnia zooplankton community) counteracted
  the low N:P source of nutrients entering the
  lake, drastically altering the response of the lake

                                   Elser et al. 2000 Ecosystems
Modeling implications
• Eutrophic lakes are characterized by alternative stable
  states
• These dynamics are consistent with stoichiometric models
  of grazer-algae interactions
• These models predict the existence of intrinsic high grazer
  and grazer-free stable states under eutrophic conditions
• Nutrient loading ,tropic cascades and stoichiometric
  theories provide a fundamental understanding of eutrophic
  lake dynamics
• Our ability to make specific predictions of the occurrence
  and intensity of cyanobacteria biomass may be limited by
  the nonlinear mechanisms underpinning the nutrient-
  phytoplankton-zooplankton systems

                                          Elser et al. 2000 Ecosystems
Biological stoichiometry
• Biological stoichiometry: coupling the first
  laws of thermodynamics; evolution by natural
  selection; and central dogma of molecular
  biology
• Roots: optimal foaging; resource ratio
  competition theory; Redfield ratio; nutrient
  use efficiency



                             Elser et al. 2000 Ecology Letters
Biological stoichiometry from genes to
               ecosystems
• Q: What determines the C:N:P of living
  biomass?
• HYP: a connection between growth rate and
  C:N:P stoichiometry based on rRNA allocation
  and the organization of ribosomal genes in
  diverse biota




                             Elser et al. 2000 Ecology Letters
Autotroph N:P rules of thumb
• Biomass N:P tracks N:P of the nutrient supply
• At fixed supply rate of nutrient X, biomass C:X
  increases as light intensity and/or pCO2
  increase
• Under concentrations of X-limited
  growth, biomass C:X increases steeply as
  realized specific growth rate declines
• High variation of C:N:P in base of food web

                               Elser et al. 2000 Ecology Letters
Growth rate and P relationships
• Organisms with high max specific growth rate
  have high [RNA]
• RNA makes up 50-60% of the ribosome, which
  promotes cell growth
• RNA is 10% P by weight
• P-rich, low N:P is a signature of rapid growth
  and is a cellular necessity
• Most variation occurs in chromosomal rDNA
  copy number
                              Elser et al. 2000 Ecology Letters
Growth Rate Hypothesis
• rRNA is needed for
  protein synthesis;
  rRNA is ~80% of all
  RNA in organisms
• RNA has a relatively
  low N/P
• Thus, growth rate is
  limited by P and
  N/P variation is
  largely driven by
  investment in rRNA


                         Sterner and Elser, 2002
Molecular genetics of food web
        dynamics hypothesis
• Goal: generate functionally realistic model of
  ecological dynamics informed by modern
  genetic understanding
• Evolution of growth rate related to RNA
  allocation and organism P content/CNP stoich
• HYP: variation in the relative abundance of
  high growth rate, low C:P and N:P consumers
  with high rDNA should be higher in systems
  with good quality (low C:N and C:P food).

                              Elser et al. 2000 Ecology Letters
Resource
         Ratio
        Theory




Miller, American Naturalist 2005
Questions and discussion:
1. How might results differ if the lake were not eutrophic?
2. How do terrestrial and lake ecosystems differ, and what
   are the problems?
3. In what situations is it worth incorporating nutrient
   dynamics and stoichiometry, and when might it be
   unneccessarily complicating the model?
4. Does Elser’s RNA hypotheses make sense when comparing
   across global scales, like tropics vs. temperate?




                                     Elser et al. 2000 Ecology Letters
Thanks!

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Marklein CNP stoichiometry

  • 1. Ecological Stoichiometry Alison marklein Ecl 290 37 Alan hastings Oct 16, 2012
  • 2. Why is stoichiometry important? • Conservation of mass and energy • Growth is limited by nutrients, that are required in fairly strict ratios • Ecosystems have a finite amount of elements and inputs/outputs • Without limiting nutrients, energy, or space, theoretical population dynamics may give infinite growth (implicitly included in carrying capacity)
  • 3. • Humans have much more C,N,P as a fraction of total mass than occurs in the earth as a whole • Must be preferentially accumulating these elements Sterner and Elser, 2002
  • 4. Stoichiometry of bio-chemicals Sterner and Elser, 2002
  • 5. N vs. P • P available in rock form and decreases as ecosystem age • N can be fixed by organisms from the atmosphere to inorganic bio-available forms (but this is energetically expensive and requires lots of P as ATP) • Aquatic ecosystems often thought to be P limited because N can be brought in via fixation. Also affected by anthropogenic N inputs (runoff, dep) Walker and Syers 1976; Vitousek et al. 2010
  • 6. N, P, and co- limitation Large purple bars suggests co- limitation of N and P. This could be supported by re-allocation of one nutrient to get another to optimize growth Elser et al., Ecology Letters, 2008
  • 8. Background info: Redfield Ratios • Phytomass displays an average C:N:P of 106:16:1 • This is similar to the C:N:P of dissolved matter in the ocean Redfield, American Naturalist, 1958
  • 9. NO3- from PO43- Oceaninferred and CNP deviations N* - processes Mean Phytoplankton 106:16:1 1:16 P:N line N* = NO3- – 16PO43- + 2.9 Gruber and Sarmiento 199
  • 10. N/P Tropical Temperate Leaf litter (reg) 43:1 12:1 Leaf: 43:1 25:1 Leaf litter: 63:1 27:1 All forest microbes 9:1 Fungi 15:1 Bacteria 7:1 Enzymes 1:1 McGroddy et al. 2004; Townsend et al. ; Cleveland et al. 2007; Reiners 1986; Sinsabaugh et al.;
  • 11. N/P Plant Tropical Temperate Litterfall Leaf litter (reg) 43:1 12:1 Uptake Leaf: 43:1 25:1 Leaf litter: 63:1 27:1 Litter All forest microbes 9:1 Fungi 15:1 Bacteria 7:1 Enzymes 1:1 McGroddy et al. 2004; Townsend Microbial Inorganic et al. ; Cleveland et al. 2007; Biomass nutrients Reiners 1986; Sinsabaugh et al.;
  • 12. Pelagic CNP in eutrophic lake with food web manipulation • Q: How do tropic dynamics and biogeochemistry interact in regulating lake ecosystem dynamics during a whole-lake food-web manipulation? • HYP: elimination of planktivorous fishes would result in a pelagic food web in which P-rich zooplankton (for example, Daphnia) would have a greatly enhanced role in regulating internal nutrient availability and would differentially increase the availability of N relative to P. Elser et al. 2000 Ecosystems
  • 13. Responses to Pike • + Pike • 3 yrs later: - minnows • 4 yrs later: + cladoceran Daphnia - zooplankton N:P - seston C:P + DON and DOP Elser et al. 2000 Ecosystems
  • 14. N fixation • Low external N/P ratio • Internal processes driven by food-web changes fixed enough N relative to P in the early season to allow phytoplankton to grow similarly to 25 years previously • Then cyanobacteria crashed • Suggests threshold N/P ratio for N fixation to be energetically favorable Elser et al. 2000 Ecosystems
  • 15. 5 aspects of stoichiometric effects • Zooplankton became more P rich (lower C:P and N:P ratio) • The importance of zooplankton as a nutrient pool in the water column greatly increased • Increased zooplankton biomass increased overal dissolved nutrient availability (more for N than P). This caused shift away from N-fixing cyanobacteria • Seston C:P and N:P ratios were low, indicating relatively rapid groth rates of remaining phytoplankton biomass. Decreased phytoplankton bioass reflected less of the limiting nutrient P • Sedimentation appears to have been altered by food web manipulation Elser et al. 2000 Ecosystems
  • 16. Conclusions • Consumer-driven nutrient cycling processes appeared to have increased N:P ratio in the available nutrient supply. • This should result in decreased dominance of cyanobacteria in phytoplankton community • Introduction of piscivorous pike and elimination of planktivorous fish generated low N:P sink (Daphnia zooplankton community) counteracted the low N:P source of nutrients entering the lake, drastically altering the response of the lake Elser et al. 2000 Ecosystems
  • 17. Modeling implications • Eutrophic lakes are characterized by alternative stable states • These dynamics are consistent with stoichiometric models of grazer-algae interactions • These models predict the existence of intrinsic high grazer and grazer-free stable states under eutrophic conditions • Nutrient loading ,tropic cascades and stoichiometric theories provide a fundamental understanding of eutrophic lake dynamics • Our ability to make specific predictions of the occurrence and intensity of cyanobacteria biomass may be limited by the nonlinear mechanisms underpinning the nutrient- phytoplankton-zooplankton systems Elser et al. 2000 Ecosystems
  • 18. Biological stoichiometry • Biological stoichiometry: coupling the first laws of thermodynamics; evolution by natural selection; and central dogma of molecular biology • Roots: optimal foaging; resource ratio competition theory; Redfield ratio; nutrient use efficiency Elser et al. 2000 Ecology Letters
  • 19. Biological stoichiometry from genes to ecosystems • Q: What determines the C:N:P of living biomass? • HYP: a connection between growth rate and C:N:P stoichiometry based on rRNA allocation and the organization of ribosomal genes in diverse biota Elser et al. 2000 Ecology Letters
  • 20. Autotroph N:P rules of thumb • Biomass N:P tracks N:P of the nutrient supply • At fixed supply rate of nutrient X, biomass C:X increases as light intensity and/or pCO2 increase • Under concentrations of X-limited growth, biomass C:X increases steeply as realized specific growth rate declines • High variation of C:N:P in base of food web Elser et al. 2000 Ecology Letters
  • 21. Growth rate and P relationships • Organisms with high max specific growth rate have high [RNA] • RNA makes up 50-60% of the ribosome, which promotes cell growth • RNA is 10% P by weight • P-rich, low N:P is a signature of rapid growth and is a cellular necessity • Most variation occurs in chromosomal rDNA copy number Elser et al. 2000 Ecology Letters
  • 22. Growth Rate Hypothesis • rRNA is needed for protein synthesis; rRNA is ~80% of all RNA in organisms • RNA has a relatively low N/P • Thus, growth rate is limited by P and N/P variation is largely driven by investment in rRNA Sterner and Elser, 2002
  • 23. Molecular genetics of food web dynamics hypothesis • Goal: generate functionally realistic model of ecological dynamics informed by modern genetic understanding • Evolution of growth rate related to RNA allocation and organism P content/CNP stoich • HYP: variation in the relative abundance of high growth rate, low C:P and N:P consumers with high rDNA should be higher in systems with good quality (low C:N and C:P food). Elser et al. 2000 Ecology Letters
  • 24. Resource Ratio Theory Miller, American Naturalist 2005
  • 25. Questions and discussion: 1. How might results differ if the lake were not eutrophic? 2. How do terrestrial and lake ecosystems differ, and what are the problems? 3. In what situations is it worth incorporating nutrient dynamics and stoichiometry, and when might it be unneccessarily complicating the model? 4. Does Elser’s RNA hypotheses make sense when comparing across global scales, like tropics vs. temperate? Elser et al. 2000 Ecology Letters