# Data Analysis of the Evaluation of Sustainable Riparian Revegetation with Local Fruit Trees around a Reservoir of a Hydroelectric Power Plant in Central Brazil

## Description

An experiment was carried out in two sites with fifteen native species, selected for having ideal phytosocio-logical properties, however, nine of them showed a survivability considered satisfactory in a planting situation, with a view to large-scale planting. Assuming that the planting of the nine native fruit trees can be a quick solution to the attraction and preservation of wildlife, it would therefore provide sustainable riparian revegetation around the reservoir. Data of mean values for the fruit trees morphological features are measured: Trees’ percentage of survivors (SUR); Average diameter at breast height (DBH); Average total height (HEI) and; Average number of leaves per branch (LEA). The soil chemical composition of the two sites ES-1 and ES-2 (in Portuguese) is available also.

## Files

## Steps to reproduce

Four morphological features are measured: Trees’ percentage of survivors (SUR); Average diameter at breast height (DBH); Average total height (HEI) and; Average number of leaves per branch (LEA). Steps 1-3 are listed below to rank the criteria based on four morphological features using the SIMOS technique, and 4-12 to rank the contributions of the nine fruit tree species using the FAHP technique: 1. Sort the criteria (SUR, DBH, HEI, LEA) in order of importance using the SIMOS technique; 2. Calculate the degrees of importance of the criteria according to the SIMOS technique; 3. Convert the SIMOS degrees of importance to Saaty's paired comparison scale; 4. Determine the degrees of fuzzification for TMFs as a function of the age of the fruit tree at the time of measurement; 5. Use Fuzzy AHP to calculate the normalized weights of the four criteria; 6. Enter the measurements for SUR, DBH, HEI, and LEA of the fruit trees for each of the two experimental sites; 7. Calculate the average value for SUR, DBH, HEI, and LEA of each of the nine fruit tree species for each experimental site; 8. Convert the average values for SUR, DBH, HEI, and LEA to Saaty's paired comparison scale for each experimental site; 9. Use Fuzzy AHP to calculate the relative performances of the nine fruit tree species for each of the four criteria; 10. Calculate the normalized relative weight of the nine species weighted by the degrees of importance of the criteria for each experimental site; 11. Test the hypothesis of equality between the ranks of the fruit tree species contribution between the two experimental sites; 12. Test the relative consistency of Saaty's paired comparisons for criteria and performance of fruit tree species.