Community succession Vacant space Pioneer species i Intermediate - - PowerPoint PPT Presentation

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Community succession Vacant space Pioneer species i Intermediate - - PowerPoint PPT Presentation

Community succession Vacant space Pioneer species i Intermediate Disturbance Climax community community Markov models of succession (list of assumptions from Gotelli) ( p ) Communities can be classified into discrete states


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SLIDE 1

Community succession Vacant space Pioneer i species Intermediate Climax community Disturbance community

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SLIDE 2

Markov models of succession

(list of assumptions from Gotelli) ( p )

  • Communities can be classified into discrete states
  • Time is measured in discrete units
  • Time is measured in discrete units
  • Transition probabilities among states do not change

as time passes p

  • No spatial structure
  • No density dependence
  • Large number of patches
  • No time lages

A change from Gotelli: Define the stage vector to be the proportion of patches in each community type, not the proportion of patches in each community type, not the absolute number.

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Two (equally valid) interpretations of the equilibrium stage vector: stage vector:

  • At any point in time, the (average) proportion of

patches in each community type patches in each community type

  • The proportion of time that each patch will spend in

each community type in the long run

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O O G O G G G G G G G G S F O O F F O O F F O O O O O O O O O O F O O G G G G G G G G G G S S F F O O O G G G G G G S G O O O O O F F O O O O G G G G G S O G O F O F G G G O O O O O O G S G G G G G G G G O O O F F G G O O G G G G O O O F O F F F F F G G G G G O O O O O F G G G O F O G G G O O O O F O O O F O G O G O O F O G S S F S F F F O F S S F F O O O O G O G S G G G G O F O O G G G G G G G G S G G S S S G G G G S F O O O O O O G O O O F F G G G G G G G G S G G S S S G G G G S F O O O O O O G O O O F F G O O O O G G G G O O F G G G G G O O O G G G G G G G O O O F F F F G G O F F S S G O F O O O O O F F O O O G O F G S F O O O O O O O O O O G G G G G S S F F S F O G O O O O F S F O O F G G G G G S G G G G O O F F S F O G G G G G G G S F F O F F S F F F O O F G G O G S S S O O G G G G O O O O O O G G G G G G G G G S O O O F F O O O F F G G S G O O O G G S F S S S F O O O F S S O O O O O G G G G O O F F F F O O O O F S G G G G G G G O O O F F F O O O G G G G O O F F F F O O O O F S G G G G G G G O O O F F F F S G S S O G O F F O O O G O F F O F F F O O O F O O G O O G G

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Additional analysis of the transition matrix The turnover time is the (random) amount of time that a patch spends in a given community type before transitioning to another community type The expected transitioning to another community type. The expected (average) turnover time for each community type is: 1 1

i ii

p    where pii is the diagonal element of the transition matrix associated with community type i. associated with community type i.

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Additional analysis of the transition matrix The recurrence time is the (random) amount of time between a patch leaving a given community type and its first return to that type The expected (average) its first return to that type. The expected (average) recurrence time for each community type is:

 

1 1

i i i ii

w w p     where wi is the component of the equilbrium stage vector associated with community type i. vector associated with community type i.

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SLIDE 7

Additional analysis of the transition matrix The damping ratio is a measure of how quickly a collection of patches returns to the equilibrium stage vector following a widespread disturbance The vector following a widespread disturbance. The damping ratio is

1 2

    where G (always =G) and S are the largest and second largest eigenvalues of the transition matrix, second largest eigenvalues of the transition matrix,

  • respectively. Larger values of  indicate more rapid

return to the equilibrium stage vector.