L3 Vital Statistics: pop ecology basics Flashcards
what is an advantage of stats in conservation?
we can calculate population numbers and this allows us to calculate recruitment success or failure. We can use this info to inform future decisions.
what do the letters indicate?
Nt+1 = Nt + B + I - D - E
Nt = current population size Nt+1 = population size of next generation B = Birth rate I = Immigration rate D = Death rate E = Emigration rate
what are the basic vital rates to calculate for a pop? (4)
Birth, death, immigration, emigration
What are other pop factors that are good to calculate other than the basic vital rates? (2)
- sex ratio
- density
why should we calculate pop abundance as conservationists?
1) determine if a pop declining or growing
2) calculate effects of predation
3) calculate the effects of introducing a biological control agent
4) calculate no. of individuals we can harvest
what is the calculation for abundance?
abundance = count / probability of detection
what is a ‘census’ count?
when you are certain you have counted all individuals of a pop without using stat techniques
give examples of counting abundance that without an estimate is not a census (3)
bird-call counts
counting burrows
mammal capture in traps
why would we use estimates rather than census?
difficulty & money
What are the two methods to estimate population abundance?
1) Lincoln-Peterson method i.e. capture mark recapture (CMR)
2) Distance sampling
basic method for lincoln-peterson method?
count the first sample, mark them, let them go & take a second sample count how many are and aren’t marked.
the calculation for lincoln peterson method is this: abundance = n1/ (m2/n2) OR abundance = n1*n2/m2 what are the letters?
n1 = no. individuals in first sample n2 = no. individuals in second sample m2 = no. individuals marked in the second sample
what are the assumptions of the lincoln-peterson CMR method? (3)
1) During the time the population is closed (no im or em)
2) marking individuals doesn’t increase death rate
3) all individuals are equally likely to be caught
basic method for distance sampling?
walk along a transect and estimate the distance of the individuals you see/count. OR stand still and estimate distance e.g. bird calls.
Present data in a histogram using probability vs distance (x axis)
what are the assumptions for distance sampling?
1) Assumes if there is 0mm distance from you and an individual you would definitely see it.
2) The probability of seeing an individual decreases with distance