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A cohort life table tracks organisms through the stages of life, while a static life table shows the distribution of life stages among the population at a single point in time. [ 3 ] Following is an example of a cohort life table based on field data from Vargas and Nishida (1980). [ 4 ]
Static life tables sample individuals assuming a stationary population with overlapping generations. "Static life tables" and "cohort life tables" will be identical if population is in equilibrium and environment does not change. If a population were to have a constant number of people each year, it would mean that the probabilities of death ...
Survivorship curves can be constructed for a given cohort (a group of individuals of roughly the same age) based on a life table. There are three generalized types of survivorship curves: [ 1 ] Type I or convex curves are characterized by high age-specific survival probability in early and middle life, followed by a rapid decline in survival in ...
This example of a survival tree analysis uses the R package "rpart". [8] The example is based on 146 stage C prostate cancer patients in the data set stagec in rpart. Rpart and the stagec example are described in Atkinson and Therneau (1997), [9] which is also distributed as a vignette of the rpart package. [8] The variables in stages are:
The source–sink model of population dynamics has made contributions to many areas in ecology. For example, a species' niche was originally described as the environmental factors required by a species to carry out its life history, and a species was expected to be found only in areas that met these niche requirements. [ 18 ]
The logistic population model, the Lotka–Volterra model of community ecology, life table matrix modeling, the equilibrium model of island biogeography and variations thereof are the basis for ecological population modeling today. [6]
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Paper 1 (45 raw marks contributing 30% of the course, 1 hour) consists of short-answer and data-based questions. Paper 2 (65 raw marks contributing 50% of the course, 2 hours) consists of: Section A: Candidates are required to analyse and make reasoned and balanced judgements relating to a range of data on a specific unseen case study.