I. Even with assumptions, logistic growth model is a good approximation for many animals under certain conditions.
A. Populations do fluctuate.
B. Logistic growth curve doesn't describe everything about population dynamics.
C. One of the most important assumptions is that all individuals in the population are equal in terms of reproduction. Not all individuals have an equal probability of surviving or reproducing.
D. An obvious way that individuals differ is that they are different ages.
E. Different populations have different distributions of ages, and the relative frequency of different ages in a population is known as age structure.
F. To predict change in a population, one needs knowledge of the number of individuals of each age, probability of survival, and rates of fecundity.
G. We need some way of organizing information that is flexible enough to account for differences among populations.
II. Life tables organize statistics on age, survivorship, and fecundity.
A. Life tables are typically based on females because it is hard to ascertain paternity in many species.
B. x represents age, and age-specific variables are represented with subscript x. Mortality within intervals, but also probability of survival over many age intervals. lx is the probability that a newborn will be alive at age x. Also information on reproduction--number of offspring produced in an age interval, and proportion per individual surviving.
Life table for Phlox drummondii
age (days) | (Ax) | (lx) | (dx) | (Fx) | (mx) | (lxmx) |
0-63 | 996 | 1.000 | 0.329 | |||
63-124 | 668 | 0.671 | 0.375 | |||
124-184 | 295 | 0.296 | 0.105 | |||
184-215 | 190 | 0.191 | 0.014 | |||
215-264 | 176 | 0.177 | 0.004 | |||
264-278 | 172 | 0.173 | 0.005 | |||
278-292 | 167 | 0.168 | 0.008 | |||
292-306 | 159 | 0.160 | 0.005 | 53.0 | 0.33 | 0.05 |
306-320 | 154 | 0.155 | 0.007 | 485.0 | 3.13 | 0.49 |
320-334 | 147 | 0.148 | 0.043 | 802.7 | 5.42 | 0.8 |
334-348 | 105 | 0.105 | 0.083 | 972.7 | 9.26 | 0.97 |
348-362 | 22 | 0.022 | 0.022 | 94.8 | 4.31 | 0.10 |
362- | 0 | 0 |
A(x) = number surviving to each age
l(x) = probability that a newborn will survive to age x
d(x) = death rate for a given age interval
F(x) = # of seeds produced for individuals of age x
m(x) = mean number of seeds produced per individual of age x
l(x)m(x) = reproductive output at age x relative to the original population = probability of survival (lx) times probability of reproduction (mx)
C. Uses of life tables.
1. Predict growth by calculating r.
a. See effect of change by altering survivorship or fecundity at particular ages.
i. Information to decide how to allocate resources in how to conserve species
ii. or how to minimize impact when harvesting.
b. Comparison of populations.
III. Survivorship curves can be calculated from life tables and compared among populations.
A. Survivorship curves give us insight as to the age structure in a population.
B. Plot log survivorship vs pop size.
C. Survivorship can be constant with age (Type II).
D. Two variations.
1. Low juvenile mortality, mortality results from old age (Type I).
2. High juvenile mortality, but once reach a certain point, chances of survivorship good (Type III).
3. What types of organisms have these different survivorship curves?
4. Survivorship curves can vary among populations of the same species. Ex. Impatiens pallida.
5. Fecundity curves can also vary among populations. Example: Poa annua (a grass)
IV. Important differences between populations lie in differences in life history traits, such as survivorship, fecundity, age at first reproduction.
A. Life table illustrates that different combinations of these traits produce different numbers of offspring. How they change with age is an organisms life history.
B. Contrast between two extreme life history traits. Humans vs. cod.
C. Why do life histories vary so dramatically among different types of organisms? Why doesn't natural selection result in all characteristics being at their maximum i.e., long survivorship, high fecundity, short generation time, etc. The study of these questions is call life history evolution.
V. Two factors that limit life history evolution.
A. Constraints are limitations imposed by an organisms evolutionary history.
B. Tradeoffs are benefits from one process that are bought at the expense of another.
1. Consider seed size in plants.
a. Orchids invest little per seed. On average they are 0.000002g. The other extreme is a coconut palm (27,000 g/seed). Seed size is related to whether a see survives.
b. Why don't they all have big seeds?
2. Tradeoffs between growth and reproduction. Ex. Pine growth and reproduction.
3. Tradeoffs between offspring quantity and offspring quality lead to an "optimal" solution (Ex. Great tits).
4. More investment in offspring does increase fitness, but death can result. (Ex. red deer).
5. These examples suggest that you should reproduce as much as possible but not so much that it kills you, clearly organisms do reproduce once and die. Ex. salmon.
VI.Iteroparity vs. semelparity.
A. Iteroparity: reproduction occurring multiple times over an organism's lifetime. Survivorship important for these organisms.
B. Semelparity: reproduction occurs once and then organisms dies.
C. Semelparity seems perplexing. Why not hold enough back to survive, build reserves back up, and reproduce again.
D. Adding 1 to your clutch size is all it takes to make semelparity equal to iteroparity. This is known as Cole's Law.
E. Now the question reverses: why are there any iteroparous organisms?
1. Parental care.
2. Environments vary.
3. Semelparity depends on clutch size. If clutch size small, amount of effort to produce one more offspring much greater.