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Covariations in ecological scaling
laws
fostered by eco-evolutionary
dynamics
Silvia Zaoli
Andrea Giometto
Amos Maritan
Andrea Rinaldo
Silvia Zaoli - EPFL 2
Prob to find a species
of mass m
Community size-spec
Kleiber’s law
“Damuth’s law”
Species-Area
Ecological scaling laws
A= area of the
ecosystem
S= # species in the
ecosystem
m = body mass
n = abundance
Recurrent power-law patterns in ecosystems:
0 1z  0 
0 
[0,1] 
( )p m m

 0 
Relationships between two quantities Probability distributions of a quantity
|n m A m
 
  
b m


LINKED by
consistency and by
constraint on total
metabolism
   
m

m

m

(( |) )p ms m n m  
Silvia Zaoli - EPFL 3
Unified theoretical framework for ecological laws
( , | )P n m A
How does this probability distribution look like?
CONSISTENCY
ENSURED
Stochastic model of eco-evolutionary dynamics
| ,n m A 
( | )s m A
( | )P m A
Dynamics: birth, death, speciation
Zaoli et al., Covariations in ecological scaling laws fostered by eco-evolutionary dynamics, Submitted
Analytical characterization of the stationary state:
1
( , | ) ( | , ) ( | )
| ,
P n m A P n m A P m A n
n
m G
n m A
   
 
 



Silvia Zaoli - EPFL 4
Linking of ecological scaling laws
( , | )P n m A Scaling laws
Linking relationships among scaling exponents
Constraint on total metabolism TOT
B A 
Zaoli et al., Covariations in ecological scaling laws fostered by eco-evolutionary dynamics, Submitted
• Ecological patterns are linked and they influence each other
• Different values are possible for exponents, as long as the set (for a given ecosystem)
satisfies the relationships
Conclusions
THANK YOU FOR
YOUR ATTENTION
Collaborators Andrea Rinaldo, Amos Maritan, Andrea Giometto
Funding
EPFL
Suisse National Science
Foundation (SNF)

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Covariations in ecological scaling laws fostered by eco-evolutionary dynamics - Zaoli - Giometto - Maritan - Rinaldo

  • 1. Covariations in ecological scaling laws fostered by eco-evolutionary dynamics Silvia Zaoli Andrea Giometto Amos Maritan Andrea Rinaldo
  • 2. Silvia Zaoli - EPFL 2 Prob to find a species of mass m Community size-spec Kleiber’s law “Damuth’s law” Species-Area Ecological scaling laws A= area of the ecosystem S= # species in the ecosystem m = body mass n = abundance Recurrent power-law patterns in ecosystems: 0 1z  0  0  [0,1]  ( )p m m   0  Relationships between two quantities Probability distributions of a quantity |n m A m      b m   LINKED by consistency and by constraint on total metabolism     m  m  m  (( |) )p ms m n m  
  • 3. Silvia Zaoli - EPFL 3 Unified theoretical framework for ecological laws ( , | )P n m A How does this probability distribution look like? CONSISTENCY ENSURED Stochastic model of eco-evolutionary dynamics | ,n m A  ( | )s m A ( | )P m A Dynamics: birth, death, speciation Zaoli et al., Covariations in ecological scaling laws fostered by eco-evolutionary dynamics, Submitted Analytical characterization of the stationary state: 1 ( , | ) ( | , ) ( | ) | , P n m A P n m A P m A n n m G n m A           
  • 4. Silvia Zaoli - EPFL 4 Linking of ecological scaling laws ( , | )P n m A Scaling laws Linking relationships among scaling exponents Constraint on total metabolism TOT B A  Zaoli et al., Covariations in ecological scaling laws fostered by eco-evolutionary dynamics, Submitted • Ecological patterns are linked and they influence each other • Different values are possible for exponents, as long as the set (for a given ecosystem) satisfies the relationships Conclusions
  • 5. THANK YOU FOR YOUR ATTENTION Collaborators Andrea Rinaldo, Amos Maritan, Andrea Giometto Funding EPFL Suisse National Science Foundation (SNF)

Editor's Notes

  1. All the ecological patterns that I mentioned, those related to mass and abundance of species, can be obtained from the probability distribution P(n,m|A), representing the probability to find a species with abundance n and mass m in an ecosystem of area A. To characterize analytically this pdf, we formulated a model for the dynamics of an ecosystem subject to birth death and speciation, where we incorporated the following ingredients