| Abstrakt: |
Background and Objectives: The leaf area index (LAI) is a crucial structural characteristic in forest ecosystems, significantly impacting energy exchange, weather patterns, atmospheric processes, and gas models. This index informs managers and planners about factors like photosynthetic activity, evapotranspiration, and habitat fertility. Physiographic factors – elevation, aspect, and slope – also influence global LAI variation. This study investigates and evaluates LAI changes across different elevation, aspect, and slope classes. Materials and Methods: A systematic sampling method with a 100 × 100 meter grid was employed to collect ground-based LAI data from 230 square plots (1000 m² each) across five sites (Kordkoy, Shast Kalateh, Zarrin Gol, Sokhdari, and Loveh). Leaf area was measured using a 60 × 60 cm harvesting trap in the center of each plot. Elevation, aspect, and slope data were obtained through digital elevation model (DEM) analysis. Subsequently, LAI comparisons and analyses were conducted across different elevation, aspect, and slope classes using Duncan's and independent t-tests. Results: LAI values ranged from 8.91 (highest) in Kordkoy to 5.10 (lowest) in Zarrin Gol. Analysis of variance revealed a significant difference in LAI across elevation classes within the entire study area. LAI increased with elevation up to around 1300 meters, followed by a plateau. Duncan's and independent t-tests indicated no significant differences in LAI between sites within elevation, aspect, and slope classes, except for the Kordkoy site. Conclusion: This study identifies elevation as a more prominent factor for LAI investigation compared to slope and aspect. Understanding the impact of physiographic factors on LAI and monitoring its changes are critical for developing effective policies to mitigate climate change and global warming impacts, ultimately promoting sustainable forest management. [ABSTRACT FROM AUTHOR] |
