On Aug 26, 2016, at 5:49 AM, Msindai, Nadejda <n.msindai.09 at ucl.ac.uk> wrote:
Dear admin
I am writing to ask for help with writing an R script to model the current population size using life history data (I do not know the intrinsic rate of increase (r)).
My study population are a group of introduced chimpanzees, that were released by the Frankfurt Zoological Society in 1966-1969 onto an island in Lake Victoria.
Thus I want to run a density independent population model using life history data, with 0 net migration/immigration (so this is a closed system).
These are the individuals entering the system (in my case arriving on the island), after 1969 no new animals arrive.
Year 1966 1966 1966 1966 1966 1966 1966 1968 1969 1966 1966 1966 1966 1968 1969
Animal ID F1 F2 F3 F4 F5 F6 F7 F8 F9 M1 M2 M3 M4 M5 M6
DOB 1955 1955 1956 1957 1958 1959 1955 1960 1960 1958 1959 1959 1962 1960 1960
Notes: Year is the year animal was released into the population
F=female
M=male
DOB=date of birth
Using the following life history data I want to estimate the population size for the year 1979, 1989, 1999, and 2014, as well as future projection for 2019, 2029 etc.
Age at first birth for females: 11 years
Birth interval: 55.2 months
Age at last birth: 50 years (in 40-50 years only 47% of females have offspring)
Survival to 8 years = 67.7%(Female) 51.4%(Male)
Survival to 15 years 41%(Female) 27%(Male)
Survival 15-40 years 18%(Female) 11%(Male)
Survival 40+ years 7%(M/F)
Birth ratio set as ___M = Male, F = Female (set as 50:50)