I used three major sampling strategies: systematic sampling, which involves the selection of the specimen in regular intervals, in which I selected five steps within the various research areas I identified. The second sampling strategy was simple random sampling, a procedure where the samples are selected randomly without a particular order. Lastly, I also used stratified sampling, dividing the area into equal parts, also known as stratum, and conducting simple random sampling in the strata. The most accurate and fastest technique was simple random sampling, as it does not involve the use of any structured sampling method and does not have the element of bias. Thus, I only took 30 minutes when using simple random sampling.
On the other hand, I used two hours when using the stratified sampling and two hours when using the systematic sampling method. Simple random sampling had the lowest percentage error with a percentage error of 2.0%, followed by systematic sampling with a percentage error of 8%, and stratified sampling was the last with a percentage error of 10%. The accuracy was affected by the species abundance, where there was more accuracy in the areas where the specimen was densely populated and less accurate in areas with a sparse population. Simple random sampling was more accurate than the other methods because it had minimal biases in sample selection.