The pattern of the landscape and its corresponding changes is a reflection of environmental ecology. Ecosystem function varies due to biophysical or management heterogeneity and vital responses to these factors in the landscape. The present study aimed to investigate the effect of different aspects of biodiversity on various functions of a heterogeneous landscape in the Central Zagros. For this purpose, Google Earth images were used to classify the area. This has led to producing classification maps with various patches and placing them in seven different classes in the plant community. Then, 4 to 5 patches of each type of plant patches that had a proper distribution in the area were selected for statistics, and depending on the size of each patch, the first 5 to 10 macroplots of 30*30 m² were established randomly systematically. Sampling of cover and soil factors was done using 3 plots of 2*2 m² in each macroplot according to the peak growth time of plant species. Ecosystem functioning was quantified based on key performance indicators of plant and soil components. To estimate ecosystem multifunctionality (EMF), standardized values of various performance indicators were calculated using the Z-score method, and their average for each patch was determined as a unified multifunctionality index using the "multifunc" package in R 4.2.2. In the next step, different indices of species diversity, functional diversity, and functional β diversity were extracted using the statistical packages "vegan", "FD" and "betapart" in R software. Finally, using the statistical packages "ggplot2", "ggpubr" and "ggcorrplot" in R software, regression and correlation relationships were investigated and the existing relationships were determined by analyzing the significance level and the value of the explanation coefficient (R²). The results showed that ecosystem functions likely depend on the value of the functional traits of its dominant species. Also, the functional identity of the dominant species influences multi-functionality through similar mechanisms that enhance individual functions.