FREE ESSAY ON POPULATION ESTIMATION

POPULATION ESTIMATION

Population estimation
Introduction
Estimates of population size play a vital role in many fisheries management decisions.
The numbers of fish in a stock are used to identify influences of environmental factors,
human exploitation, and ultimately to identify the effectiveness of management
strategies. (Van Den Avyle & Hayward 1999) The three most common methods of population
estimation among biologist are sample plots, mark and recapture, and removal.
Counts on sample plots is based on the principle that an estimate of population size can
be obtained by determining the average density of animals per unit area and multiplying
its value by the total area covered by the population. This procedure is done by setting
up a pre-determined number of circular, square, or rectangular plots. These plots should
be randomly placed and should not over lap. This method is used when all members of the
target population can be counted with reasonable certainty(Van Der Avyle & Hayward 1999).
The formula used with this method is: 
Where A is the size of the study area, a is the size of the plot, and n is the average
number of animals counted per sample plot (Van Der Avyle & Hayward 1999).
The mark and recapture method is simply preformed by collecting fish, marking them,
releasing them, and at a later time collecting fish from the same area and examining them
for marks. This is based on the principle that the number of marked fish in the second
sample is proportional to the total number of fish in the population. This is called the
Peterson method and the equation is as follows:
Where M is the number of fish initially marked and released, C is the number of fish
collected, and R is the number of recaptures (Van Der Avyle & Hayward 1999). The Peterson
index can give biased estimates when the numbers of fish sampled are low; so several
modifications have been made to correct this. One being Bailey's modification which is
used when sampling during the recapture period is conducted with replacement. The Chapman
method is used if replacement is not taking place. The differences in these three methods
would be of little significance if the recapture number exceeds 7 (Van Der Avyle &
Hayward). All three of these variations are based on the assumptions that: 1. Marked fish
don't lose their marks. 2. Marked fish are not over looked in the recapture sample. 3.
Marked and unmarked fish are equally vulnerable to recapture. 4. Marked and unmarked fish
have equal mortality. 5. Following release marked and unmarked fish become randomly
mixed. 6. There are no additions to the population during the study. If any of these
conditions are not met over estimation will most likely occur (Van Der Avyle & Hayward
1999). The third and final method of population estimation is the removal method. This is
based on the idea that the number of fish caught per unit of effort will progressively
decline as members of the population are removed. The population can be estimated from
data on fishing effort and catch rates. The assumptions with this method are: 1. All
members of the target population are equally vulnerable to capture. 2. Vulnerability to
capture is constant over time. 3. There are no additions to the population or losses
other than the removal itself (Van Der Avyle & Hayward). The Leslie and DeLury methods
are used in cases when sampling effort my vary among periods. They are used on large
populations where the probability of catching an individual fish is low (Kohler 138). The
Leslie method assumes that the number of fish caught per unit effort is proportional to
the number of fish present at the beginning of the interval. The DeLury method differs in
that the population estimate is based on total effort rather than cumulative data. The
Zippin method is used where the catchability is high and equal effort is expended in each
sample period. This is most commonly used in small mountain streams in conjunction with
electrofishing as the removal method.
Materials & Methods
On September 13, 2000 we went to Mull Creek. We set up two stop nets spanning 75m one
upstream and one downstream to keep the population contained. We made three runs with
electrofishing gear to remove the fish. Once removed we anesthetized the fish using clove
oil. Then we measured their length in cm and weight in grams with slide scale, and
clipped their adipose fin and released them. We returned on September 20, 2000 and used
the same method recaptured the fish. This time taking their weight, length, and examining
for marks.
Results
To estimate the population of trout in this section of Mull Creek the Peterson index for
single mark/recapture procedure was used.
N is the population estimate, M is the number of fish initially marked and released, C is
the number of fish caught and examined for marks during the second period, and R is the
number of recaptures observed in C ( Van Der Avyle & Hayward 1999). So:
The Peterson index estimate for the first sample period was 19.5
The Zippin method was also used to estimate the population of trout in Mull Creek. The
first step in the Zippin method is to calculate the depletion rate R.
Where T is the total number of fish caught and Q is the catachability quotient.
The estimated population using the Zippin method is 18.367. A 95% confidence interval can
be calculated by using:
With a 95% probability the number of fish is between 16.64 and 20.90.
To estimate biomass the area of the sample plot in hectares must first be calculated by
multiplying length by width.
The total weight of the fish in Kilograms is then divided by the area, which will provide
the standing crop biomass.
Discussion
The population estimates from the Peterson index and the Zippin method were similar. The
Zippin method provided an estimate of 18.367 and a 95% confidence interval of 16.64 and
20.09. The Peterson index estimated the population to be 19.5, which falls within the 95%
of the confidence interval of the Zippin method. With both estimates being close in
number I conclude that if all conditions are met both the Zippin method and the Peterson
index are valid accurate methods of population estimation. When comparing this data with
other samples taken from the Southern Appalachian Mountains it was found that our sample
was higher than average. Patricia Flebbe performed a study sampling 242 rainbow trout
streams in the Southern Appalachian Mountains and found the average population density to
be .025 fish per meter squared (Flebbe 1994). When converted to meters squared our
population from Mull Creek comes out to be .035 fish per meter squared a difference of
.01fish per meter squared. Over all I believe this study to be valid and reasonably
accurate as justified by the data present. 
Flebbe, Patrica. A regional View of the Margin: Salmonoid Abundance and Distribution in
the Southern Appalachian Mountains of North Carolina and Virginia. Transactions of the
American Fisheries Society. Vol 123 (1994)
Van Der Avyle, Micheal, & Robert Hayward. 1999. Dynamics of Exploited Fish Populations.
Pg 132-140 in Inland Fisheries Management in North America, second edition. American
Fisheries Scoiety, Bethesda, MD 1999