1- University of Tehran
2- Lorestan University
2- Lorestan University
Abstract: (17 Views)
Introduction and Objective: In recent years, mangrove ecosystems have been threatened not only by human destruction but also by the effects of global climate change. Given the pressure of population growth, economic problems, and climate change, mangrove forests require a management plan based on forest protection, forest restoration, and afforestation. Identifying areas with high potential for the restoration and protection of these rare forests is important. This study aimed to investigate the factors affecting the distribution of the mangrove species, which is one of the important species in southern Iran and is economically and environmentally important in the world.
Material and Methods: Therefore, while reviewing studies conducted in the world and Iran, the factors affecting the distribution of the mangrove species Avicennia marina were identified, and after screening the factors that had a greater impact on the distribution of the mangrove species and were made available to experts. Using the Delphi method, the final importance coefficient of the determining factors and a linear model of their combination were prepared for location in the geographic information system.
Results: Accordingly, 47 indicators affecting the distribution of these habitats were selected with the origin of two human and environmental factors, and 3 criteria and 9 sub-criteria were determined that led to the occurrence of these hazards. The 3 determined criteria include climate, seawater characteristics and land characteristics, and the 9 determined sub-criteria include precipitation, temperature, tides, humidity, physical characteristics, wind, evaporation, waves and water quality.
Conclusion: According to the results obtained, among the 3 determined criteria, land characteristics are the most important criterion, among the 9 determined criteria, physical characteristics and among the determined indicators, respectively, shoreline shape factors had the greatest and average water chlorophyll had the least effect on the distribution of the mangrove species Avicennia marina in the mangrove forests of the south of the country. The results of this research, through prioritization and determination of the degree of importance, can play a significant role as a decision-making support tool in the efficiency and success of the protection, restoration and management programs of Iran's mangrove forests.
Material and Methods: Therefore, while reviewing studies conducted in the world and Iran, the factors affecting the distribution of the mangrove species Avicennia marina were identified, and after screening the factors that had a greater impact on the distribution of the mangrove species and were made available to experts. Using the Delphi method, the final importance coefficient of the determining factors and a linear model of their combination were prepared for location in the geographic information system.
Results: Accordingly, 47 indicators affecting the distribution of these habitats were selected with the origin of two human and environmental factors, and 3 criteria and 9 sub-criteria were determined that led to the occurrence of these hazards. The 3 determined criteria include climate, seawater characteristics and land characteristics, and the 9 determined sub-criteria include precipitation, temperature, tides, humidity, physical characteristics, wind, evaporation, waves and water quality.
Conclusion: According to the results obtained, among the 3 determined criteria, land characteristics are the most important criterion, among the 9 determined criteria, physical characteristics and among the determined indicators, respectively, shoreline shape factors had the greatest and average water chlorophyll had the least effect on the distribution of the mangrove species Avicennia marina in the mangrove forests of the south of the country. The results of this research, through prioritization and determination of the degree of importance, can play a significant role as a decision-making support tool in the efficiency and success of the protection, restoration and management programs of Iran's mangrove forests.
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