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Experimental Studies of Competitive Interactoins

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Title: Slide 1 Author: Kirk Moloney Last modified by: Kirk Moloney Created Date: 3/16/2006 10:05:08 PM Document presentation format: On-screen Show (4:3) – PowerPoint PPT presentation

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Title: Experimental Studies of Competitive Interactoins


1
Experimental Studies of Competitive Interactoins
2
Commonly Used Designs
Partial Additive
Replacement Series
Additive
Complete Additive
3
The Replacement Series Design
  • Density is fixed
  • Ratio of two species systematically altered

4
The Replacement Series Design
Treatment 3
Treatment 2
Treatment 1
Treatment 6
Treatment 5
Treatment 4
Species 1
Density 5
Species 2
5
A Non-Additive Example
6
Predicting the Outcome of Competition
Log (Output1/Output 2)
Before competition
Log (Input1/Input 2)
7
Predicting the Outcome of Competition
After competition
Log (Output1/Output 2)
Log (Input1/Input 2)
8
Predicting the Outcome of Competition
yx
Log (Output1/Output 2)
Log (Input1/Input 2)
9
Predicting the Outcome of Competition
New Input Ratio
Log (Output1/Output 2)
Log (Input1/Input 2)
10
Predicting the Outcome of Competition
etc.
This is a process called cobwebbing.
Log (Output1/Output 2)
Log (Input1/Input 2)
11
Predicting the Outcome of Competition
Coexistence
Extinction of Glycine
Log (OPanicum/OGlycine)
Log (IPanicum/IGlycine)
12
Replacement Series Experiment
Monoculture treatment
Competitiontreatment
Problem?
13
Extending the Replacement Series Approach
Inclusion of more densities provides more
information
In this example competitive effects on A. fatua
increase as overall density increases
14
Extending the Replacement Series Approach
The outcome of competition changes with density.
Not an ideal technique for predicting the outcome
of competition
15
Commonly Used Designs
Partial Additive
Replacement Series
Additive
Complete Additive
16
The Complete Additive Design
replacement series design
partial additive design
  • Provides information across a range of
    densities
  • Contains other more restrictive designs
  • Can be used to develop predictive models
    across a range of scales

17
Experimental Outcome
Vulpia
Phleum
log(Vulpia density)
log(Phleum density)
18
Experimental Outcome
monculture treatments
19
Building a Predictive Model
Phleum
Incorporating the Effects of a Second Species
Vulpia
Our old friend the yield-density Equation
20
Building a Predictive Model
Phleum
Incorporating the Effects of a Second Species
Vulpia
Our old friend the yield-density Equation
21
Building a Predictive Model
Phleum
Incorporating the Effects of a Second Species
Vulpia
Our old friend the yield-density Equation
Species 2
22
Building a Predictive Model
Phleum
Incorporating the Effects of a Second Species
Vulpia
Our old friend the yield-density Equation
Species 2 Density
23
Building a Predictive Model
Phleum
Incorporating the Effects of a Second Species
Vulpia
Our old friend the yield-density Equation
Species 2s competitive effectrelative to
species 1s effect on itself
24
Building a Predictive Model
Phleum
Incorporating the Effects of a Second Species
Vulpia
Our old friend the yield-density Equation
Species 2s competitive effectrelative to
species 1s effect on itself
25
Building a Predictive Model
Phleum
Incorporating the Effects of a Second Species
Vulpia
Our old friend the yield-density Equation
Species 2s competitive effectrelative to
species 1s effect on itself
26
Building a Predictive Model
Phleum
Incorporating the Effects of a Second Species
Vulpia
Our old friend the yield-density Equation
27
Building a Predictive Model
Phleum
Incorporating the Effects of a Second Species
Vulpia
Our old friend the yield-density Equation
28
Building a Predictive Model
Phleum
Parametrize the Models from the Results of the
Experiment
Vulpia
Vulpia
Phleum
Response surfaces
log(Vulpia density)
log(Phleum density)
29
Predicting Change over Time
Phleum
Vulpia
Seed yield for Phleum
Seed yield for Vulpia
log(Vulpia density)
Input densities
log(Phleum density)
30
Predicting Change over Time
Phleum
Vulpia
Seed yield for Phleum
Seed yield for Vulpia
log(Vulpia density)
New input densities
log(Phleum density)
31
Vulpia Density
Phleum Density
32
Phase Space Plot
Zero Net Growth Isocline for Vulpia
Vulpia Density
Phleum Density
33
Phase Space Plot
Zero Net Growth Isocline for Vulpia
V
Vulpia Density
V
Phleum Density
34
Phase Space Plot
Zero Net Growth Isocline for Phleum
P
Vulpia Density
P
Phleum Density
35
Phase Space Plot
P
V
Vulpia Density
P
V
P
V
Phleum Density
36
Phase Space Plot
P
V
Vulpia Density
P
V
P
V
Phleum Density
37
Phase Space Plot
Endpoint of competition
Vulpia Density
Phleum Density
38
Limitations of the Complete Additive Design
  • Quite difficult to conduct
  • Requires lots of resources
  • Only easily used with short lived herbs

39
General Outcomes of Competition
Species 1
Intraspecific gt Interspecific
Intraspecific lt Interspecific
Intraspecific gt Interspecific
Species 2
Intraspecific lt Interspecific
40
General Outcomes of Competition
Species 1
Intraspecific gt Interspecific
Intraspecific lt Interspecific
Intraspecific gt Interspecific
Species 2
Intraspecific lt Interspecific
41
General Outcomes of Competition
Species 1
Intraspecific gt Interspecific
Intraspecific lt Interspecific
Intraspecific gt Interspecific
Species 2
Intraspecific lt Interspecific
42
General Outcomes of Competition
Species 1
Intraspecific gt Interspecific
Intraspecific lt Interspecific
Intraspecific gt Interspecific
Species 1 wins
Species 2
Intraspecific lt Interspecific
43
General Outcomes of Competition
Species 1
Intraspecific gt Interspecific
Intraspecific lt Interspecific
Intraspecific gt Interspecific
Species 1 wins
Species 2
Intraspecific lt Interspecific
Species 2 wins
44
General Outcomes of Competition
Species 1
Intraspecific gt Interspecific
Intraspecific lt Interspecific
Intraspecific gt Interspecific
Species 1 wins
Coexistence
Species 2
Intraspecific lt Interspecific
Species 2 wins
45
General Outcomes of Competition
Species 1
Intraspecific gt Interspecific
Intraspecific lt Interspecific
Intraspecific gt Interspecific
Species 1 wins
Coexistence
Species 2
Unstable Equilibrium
Intraspecific lt Interspecific
Species 2 wins
46
General Outcomes of Competition
Species 1
Intraspecific gt Interspecific
Intraspecific lt Interspecific
Intraspecific gt Interspecific
Species 1 wins
Coexistence
Species 2
Unstable Equilibrium
Intraspecific lt Interspecific
Species 2 wins
47
General Outcomes of Competition
Species 1
Intraspecific gt Interspecific
Intraspecific lt Interspecific
Competitive Exclusion predicted in 3 out of 4
cases
Intraspecific gt Interspecific
Species 1 wins
Coexistence
Species 2
Unstable Equilibrium
Intraspecific lt Interspecific
Species 2 wins
48
Coexistence is a Special Case
49
Coexistence is a Special Case
Species must differ enough to not have a
big impact on one another
Limiting Simliarity
50
The Paradox between Theory and Observation
  • Lots of evidence for competition
  • High degree of similarity in resource use by
    plants
  • Appears to be less competitive exclusion than
    theory predicts

51
End of Material for Next Exam!
52
Developing a Mechanistic Model of Competition for
Plants
53
Tilmans Resource Ratio Hypothesis
54
Relationship between resource availability and
diversity
competition
stress
55
Change over TimeThe Rothamsted Experiment
Diversity decreases over time with increased
nutrients
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