andscape characteristics can be described using statistical metrics of the structure and spatial arrangement of land use types that may also affect the ecological and functional processes of ecosystems. Hence, understanding the relationship between these variables and the functional indicators of ecosystems is a priority in evaluating benefits obtained from ecosystems and land uses/covers. The present study aimed to investigate and model the relationship between the composition and configuration of two land-use classes, the green covers, and human-infrastructure and ecosystem services, using a spatial–statistical approach. Upon quantifying three ecosystem services, including aesthetic, recreational, and noise reduction services, the relationship between these services and the composition and configuration metrics of land use classes were evaluated using multivariate linear regression models. The results showed a significant correlation between the composition and configuration of green infrastructure and the ecosystem services supply. The percentage of the landscape, class area, number of patches, fractal dimension, shape index, and aggregation index metrics had the most significant contribution to explaining the ecosystem services variations in both land use categories. Comparing models for ecosystem services in the two land use classes showed that both models had relatively similar performance and accuracy in explaining the ecosystem services variations. The results can provide a practical framework for planning land use, based on the landscape ecology concepts.
