Macrobenthic Species Modeling of Distribution in Bahmanshir River Tidal Zone Using GIS and Remote Sensing

In this study, providing a predictive model for the presence or absence of a few dominant macrobenthic species in a tidal area of mouth of the Bahmanshir River were evaluated. Sampling of the region to identify and count species and also measure the amount of TOM and grading of sediments was carried out. After identifying and counting macrobenthic species, frequency map was prepared for a few dominant species. In order to achieve elevation map, the study area was mapped with Nivo camera. Based on the correlation of environmental factors obtained, the regression model of prediction for a few species was obtained. Maps of environmental factors, elevation, slope, slope direction, the percentage of organic matter, the percentage of fine-grained sediments, the distance from the bottom tidal line, and data from two satellite bands of 1 and 6 of landst8 as inputs to this model were entered in ArcGIS software and the prediction map of the presence or absence for these species were prepared. The results of this model was evaluated by the Kappa statistic. The results of this test showed that this method will be an appropriate method for modelling of prediction for potential distribution of macrobenthic species.