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Alan Hastings

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Alan Hastings. Dept of Environmental Science and Policy, Univ of Calif, Davis. two.ucdavis.edu. Lessons from several courses. Population Biology ... – PowerPoint PPT presentation

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Title: Alan Hastings


1
Alan Hastings
  • Dept of Environmental Science and Policy, Univ of
    Calif, Davis
  • two.ucdavis.edu

2
Lessons from several courses
  • Population Biology
  • Taught from a perspective that emphasizes
    quantitative approaches and models
  • Audience is typically college juniors and seniors
  • Have taken some biology, and at least one quarter
    of calculus
  • Today, Ill look at questions that involve only
    algebra
  • Quantitative methods in Population Biology
  • First year students in graduate school

3
Population biology
  • Quantitative reasoning essential
  • We count the number of individuals
  • We count the frequencies of different types in
    populations
  • Find that biology students have often not been
    comfortable with mathematics
  • Artificial examples
  • New textbooks may help

4
Important practical issues
  • Epidemics
  • Hoof and mouth in UK
  • Childhood diseases
  • AIDS
  • Insect pests
  • Fisheries

5
Overall concepts of interaction between math and
biology
Mathematical formulation
Biological conclusion
Biological question
6
Overall concepts of interaction between math and
biology
Mathematical formulation
Should not be a linear process- feedback
Biological conclusion
Biological question
7
Overall concepts of interaction between math and
biology
Mathematical formulation
Biological conclusion
Check step with biological reasoning
Biological question
8
Combining computer and mathematical approaches
  • Problems in biology are nonlinear
  • Involve quadratic and more complex functions
  • So numerical (computer solutions are essential)
  • What numerical platform
  • Easy for students to pick up
  • Easy for me to put a relatively nice interface on
  • Spreadsheet, with students just having to enter
    numbers
  • Other solutions possible

9
Then why analytic mathematical reasoning at all?
  • Need to think about qualitative behavior
  • Will population grow (at all) may be much more
    important question than how fast
  • Understand and get general results
  • Get deeper understanding of why
  • Emphasize interplay among biology, math and
    numerical/computer results

10
Geometric or exponential growth
  • Question how do populations grow if resources
    are unlimited?
  • (Models are often most useful if their
    predictions are not upheld)
  • N(t1)R N(t)
  • What is R?
  • Exact example univoltine insects
  • From this equation we can predict all future
    population sizes

11
Geometric growth continued
  • N(t1)R N(t)
  • N(t2)R N(t1)
  • N(t2)R (N(t1))

12
Geometric growth continued
  • N(t1)R N(t)
  • N(t2)R N(t1)
  • N(t2)R (RN(t))
  • N(t2)R2N(t)
  • N(t)RtN(0)
  • This last formula gives an exact prediction of
    future population size

13
Geometric growth continued
  • N(t)RtN(0)
  • This formula gives an exact prediction of future
    population size
  • But more interesting
  • Rgt 1 grows
  • R lt 1 declines
  • R 1 only way to get equilibrium
  • Illustrate with Excel

14
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15
Mud turtle
16
(No Transcript)
17
Growth with two age classes
  • Build on ideas of previous example
  • First develop from basic principles
  • Then use matrices
  • Stable age structure
  • Develop analytic solutions
  • Then numerical ones

18
Other topics
  • Population genetics
  • Frequency changes in one locus two allele model
  • Biston betularia example nice
  • Numerical solutions
  • Drift
  • Discuss the example of one individual
  • Numerical examples
  • More numerical examples

19
Other examples
  • Epidemics and the threshold theorem
  • BN/g

20
Take home messages
  • Emphasize tight interplay between biology and
    quantitative reasoning
  • Use the simplest analytic models possible
  • Numerical approaches allow investigation
  • Develop both mathematical and biological themes
    but always focus on the biological question
  • Emphasize the importance of failures of models
  • two.ucdavis.edu

21
Anaphes flavipes(Hymenoptera Mymaridae)
A. flavipes late pupal stage within host. Note
the darkened body.PHOTO USDA, APHIS, PPQ,
Niles Plant Protection Center
A. flavipes early pupal stage within host. Red
compound eyes are the first visible
feature.PHOTO USDA, APHIS, PPQ, Niles Plant
Protection Center
A. flavipes female on host egg.PHOTO PHOTO
USDA, APHIS, PPQ, Niles Plant Protection Center
22
  • Pleolophus basizonus is an important
    ectoparasitoid of diprionids. During outbreaks
    this species can cause high mortality rates.

23
  • Egg of P. basizonus. The eonymph had been
    paralyzed by the female parasitoid prior to
    oviposition.

24
Pteromalid Wasp Parasitiod of Stable Flyand
House Fly Puparia
25
Circular hole left by wasp parasitoid emerging
from (left) an armored scale and (right) a soft
scale.
26
At left, larval and (right), pupal stages of a
parasitoid.
27

Left Adult female Encarsia inaron.Right E.
inaron exit holes (arrow) from Ash whitefly
nymphs.  M.Rose (both)
28
Braconid Larvae Emergingfrom Mature Red Admiral
Caterpillar I
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