Measuring Population Characteristics PDF

Summary

This document covers methods for measuring population characteristics, including quadrat sampling and mark-recapture techniques. It provides examples of how to use these methods to estimate population size. It also mentions important assumptions that should be considered during the study period to ensure reliable results.

Full Transcript

Measuring Population Characteristics It is usually impossible to get an exact count of the number of individuals in a population As a result, biologists have developed a variety of sampling techniques that estimate population size umm... 1 mouse. 2,3,4,5... For organisms that ar...

Measuring Population Characteristics It is usually impossible to get an exact count of the number of individuals in a population As a result, biologists have developed a variety of sampling techniques that estimate population size umm... 1 mouse. 2,3,4,5... For organisms that are stationary (plants) use of quadrats is standard method of sampling Quadrat - frame of a given size that is placed at random within a habitat Count is taken of population size within quadrat Used to extrapolate size of entire population Note: This method does not work very well for populations that are clumped ❏ quadrat sampled may fall in a clump (overestimation) ❏ quadrat sampled may fall between clumps (underestimation) For organisms that are mobile most practical sampling method is mark-recapture sampling ❶ Group of organisms is captured, marked in some way and released ❷ After allowing enough time for marked organisms to mix randomly into population, researchers capture a second sample of organisms ❸ Proportion of marked to unmarked organisms in second sample is used to estimate overall population size Rationale is: If you can measure proportion of marked individuals in second sample (i.e. 10 out of 100 = 10%) Equal to proportion of all marked organism in population (i.e. if 50 were marked, then that’s 10% of all individuals, so population size is 500) Following equation is used to estimate population size in mark-recapture sampling: # marked (M) # recaptured (m) Total population size (N) = Size of second sample (n) M m = N n Mn N= m For example: In October, 48 polar bears were captured and marked. Two months later, 30 polar bears are captured. Of these, 6 are bears that were marked. What is the best estimate of size of this population? 48 6 = N 30 (48)(30) N= (6) N = 240 Sampling predicts a polar bear population of 240 individuals Accuracy of mark-recapture sampling depends on following assumptions: ❏ all individuals in population have an equal chance of being captured ❏ during time between samples, ratio of marked to unmarked individuals is constant (i.e. marking does not affect chance of survival) ❏ during study period population size is constant

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