### Population Estimation

Population estimation Introduction Estimates of population size play a vital role in many fisheries management decisions. The numbers of fish in stock are used to identify influences of environmental factors and 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 biologists are sample plots, mark and recapture, and removal.

Counts on sample plots are 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 overlap.

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 performed 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 is 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 overlooked 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 overestimation 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 efforts 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 may 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 delivery 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 a sliding scale, clipped their adipose fin, and released them. We returned on September 20, 2000, and used the same method to recapture the fish. This time taking their weight, and 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 catchability 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 the length by the 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 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.

Overall 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.