Population Growth Analyses-2
III) Field Data on Population Growth
1. Seasonal growth when condition favorable not continuous
2. Long-lived organisms may increase populations rarely
3. Few populations fill up space or habitat in nature like lab
4. Example: Reindeer introduced AK
a. When growth is large chaotic fluctuations
5. Example: Whooping Crane reintroduction
a. Variable r over time (10-yr cycles)
6. Example: Diatoms other phytoplankton (seasonal max)
7. Conclusion:
a. Most pop. may not be "density dependent"
b. Not in a predictable linear manner
8. Current Approaches to Population Modeling
a. Include time-lag > complex organisms
b. Develop stochastic models - probabilities
c. Specific age or size class pop. projection models
9. Stochastic models population growth
a. Use probabilities to predict change over time
b. Contrast deterministic models - one outcome
where Ro = 2.0 and Nt = 6
then Nt+1 = RoNt = 12
c. Example: More random component - chance events
10. Population Projection Matrices
a. Age classified life cycle
b. Stage classified life cycle
c. Similar to life table @stage refers to age in age classified
d. Probability age group x to survive into x+1 interval (Px)
e. They reproduce a number of offspring (Fx)
f. Age structure: at time t
-No = ages between 0-1
-Nt = ages between 1-2... to Nk (oldest)
g. Assuming no immigration or emigration
-Population age structure at next time interval:
h. Matrix algebra solve @ time step
i. Birth rates for @ class
ii. Probabilities getting to next class
i. Example: Loggerhead Sea Turtles
i. Must include Px survive and stay in class
ii. Must include Gx survive and move to next class
iii. *Stage-class population matrix
iv. Experiments by modifying fecundity or survival
j. Assumption: Constant schedule of survival & reproduction