In what situations would sampling work best for estimating population size, in what situations would mark and recapture work best and why?

Sampling works best for immobile organisms

whereas mark and recapture would work best for mobile organisms.

Sampling works best when attempting to count a large population of immobile organisms in a small area. It allows less counting and since organisms are immobile there is less chance to meet an unusual distribution (not even) in a small area. Mark&recapture method works best with a large population of organisms that are for whatever reason unseen but move a lot. The last will allow for a better mix of tagged individuals with the rest of the population which will lead to more accurate results in the second sample. Due to this, the unseen portion of the population that is usually miscounted can be included and considered too.

Well, I wrote that the sampling technique would work best for estimating population size in a place were the organisms are in a few small ares. (I'm most likely wrong, don't take my word for it) I know I didn't answer it all but something's something.

Normally, the sampling method works best in ares with big populations.

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Sampling is a useful method for estimating population size when it is not feasible or practical to count every individual in the population. It works best when the population is large and scattered, making a complete enumeration difficult or time-consuming. Sampling involves selecting a representative subset, or sample, from the population and making inferences about the entire population based on the characteristics of the sample.

There are various sampling techniques, such as random sampling, stratified sampling, and cluster sampling. Random sampling involves randomly selecting individuals from the population, ensuring that each individual has an equal chance of being included in the sample. Stratified sampling involves dividing the population into subgroups, or strata, and then randomly selecting individuals from each stratum. Cluster sampling involves dividing the population into smaller clusters, randomly selecting clusters, and then sampling all individuals within the selected clusters.

On the other hand, mark and recapture is a method commonly used to estimate population size of mobile or elusive organisms. It involves capturing and marking a subset of individuals, releasing them back into the population, and then recapturing a second sample later. The number of marked individuals within the second sample is compared to the total sample size to estimate population size using a formula known as the Lincoln-Petersen index. This method works best when the population is relatively small and individuals can be captured, marked, and released without significantly altering their behavior or mortality rate.

To determine whether sampling or mark and recapture is more appropriate for estimating population size, several factors should be considered:

1. Population size: Sampling is better suited for large populations where counting every individual is impractical, while mark and recapture is typically used for smaller populations.

2. Population dispersion: If the population is evenly distributed, sampling may be more efficient. However, if the population is clumped or exhibits patchy distribution, mark and recapture may yield better results by allowing researchers to track movements within specific areas.

3. Mobility and behavior: Sampling works well for sedentary or easily accessible populations, whereas mark and recapture is ideal for mobile or elusive organisms that can be captured and released without significant disturbance.

4. Time and resources: Sampling is generally quicker and requires fewer resources compared to mark and recapture, as it does not involve capturing and marking individuals. If time and resources are limited, sampling may be the best option.

In summary, sampling is the method of choice when estimating population size for large and scattered populations, whereas mark and recapture is more effective for small, mobile, or elusive populations. The decision on which method to use should be based on the characteristics of the population, available resources, and research objectives.

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