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The sampling process for the trees was built on the analogy that the three main tree genus chosen were native the region. Sampling would ensure a clear understanding, observation and data collection of the different types of trees within the area. Sampling in this case is not limited to the individual trees but also their surroundings and the relationship they have with their immediate surrounding. There are different sampling techniques that can be employed in this case study. The probable sampling techniques to be used include simple random sampling (where the sample plots are placed randomly within the ecological gradient using random allocations the locations could not be similar in terms of the tree representations but they would have some samples within the environment), systematic sampling (a fixed selection is employed hence ensuring that the plots have a regular arrangement or rather pattern from which the case study can be carried out. The areas are carefully selected in such a way that all the samples are included within them), Cluster sampling (where the plants are grouped in clusters either systematically or stratified the subgroups or clusters are the ones used as the sampling units rather than the individuals within the population) and stratified sampling (where the population is divided into smaller groups or subgroups known as strata where each strata consists of a single population or rather according to the species). Stratified sampling is the best sampling method for this case study. It would ensure for classifying or rather sampling according to the different species. The sampling method is very advantageous for this study since it increases the precision and accuracy of the study hence reducing the errors and bias that could be made during the study. It also allows for the employment of other sampling procedures making the study dynamic hence producing better results and effective data collection.
