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The%20Pew%20Oceans%20Commission

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Sources of Fish Decline Habitat disruption Breeding areas Larval development areas Bottom structure Not all patterns are negative Population processes: aid to ... – PowerPoint PPT presentation

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Title: The%20Pew%20Oceans%20Commission


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Sources of Fish DeclineHabitat disruption
  • Breeding areas
  • Larval development areas
  • Bottom structure

3
Not all patterns are negative
4
Population processes aid to intelligent
management?
  • 1830s concerns about fluctuations in catch in
    North Sea
  • Disbelief that humans could cause this
  • C. D. J. Petersen (Denmark) applied science
  • mark-recapture to estimate population size
  • collected data on age-dependent reproduction
  • applied population model to predict connection
    between fishing mortality fish populations
  • Criticized as irrational (not profitable)
  • Tested during WW I and WW II

5
What do we need to know?
  • Demography the study of processes affecting
    populations
  • Processes adding to populations
  • births, immigration
  • Processes subtracting from populations
  • death, emigration
  • Base number of individuals
  • Whether the processes are constant through time
  • could vary with season or other scales of time
  • could vary with the density of individuals, which
    change over time

6
What if processes are constant?
  • Population size in the next generation will
    depend on the base and the difference between
    births and deaths
  • assuming we have an isolated group of individuals
  • Nt1 Nt b d

7
Exponential growth
8
What if processes vary with density?
  • If populations get larger, what do you predict
    will happen to birth rates?
  • If populations get larger, what do you predict
    will happen to death rates?
  • How many individuals are added to the population
    when birth rates and death rates are equal?

9
Logistic growth pattern
10
Summary of population models
  • The Logistic model of density dependence predicts
    maximal sustainable yield at ½ K
  • S-shape curve of population growth may not be
    seen when
  • The response to density lags changes in the
    environment
  • For populations with large excesses of births
    (rgt2) and where generations are distinct

11
Added realism individuals vary in b and d
  • Size (or age) influences
  • Reproductive capacity ( of offspring likely)
  • The risk of being eaten by a predator
  • The probability of being captured in a net
  • Age-specific demographic processes
  • Fecundity
  • Survivorship

12
Age-specific parameters
  • Start with a bunch of ? individuals newly born (
    a cohort)
  • Determine the number of individuals that survive
    to each successive age (x)
  • Sx
  • The probability of survival from birth to age,
    x lx
  • The number of ? offspring produced per ?
    individual of age x mx

13
Life Table collection of data on Sx, lx, mx
  • We can then project how each cohort will
    contribute to the population through its lifetime
  • Some values derived from a life table
  • Net Reproductive Rate, R0 the number of ?
    progeny expected to accumulate during the entire
    lifetime of an average ?
  • Intrinsic growth rate, r
  • Reproductive Value (Vx) the expected number of
    future ? progeny for a ? of age x (relative
    to that of a newborn, R0)

14
The real world is not a set of simple equations
  • Randomness is a factor
  • Deterministic models always follow the same
    path given the same conditions
  • Stochastic models include chance
  • How is this done?
  • Use an average value for a parameter
  • But for any generation, the value used can
    deviate somewhat from that average
  • Coefficient of Variation and distribution
    define the limits of deviation

15
Success of species-based management
16
What are the connections between food web and
demographic approaches?
  • What demographic parameters are influenced?
  • Are models still useful and how?

17
An alternative to capture fisheries
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