Contents & References of Locating areas prone to biological restoration of mangrove habitat (case study of Sirik, Hormozgan province)
List:
1. Introduction. 2
1. 1. Statement of problem 3
1. 2. The need to do research. 5
1. 3. Main research questions. 6
1. 4. Research hypotheses. 7
1. 5. Research objectives. 7
1. 5.1. General objectives of the research. 7
1. 2.5. Applied research objectives. 7
1. 6. Review of sources 7
1. 6.1. Descriptive research of the mangrove forests of the Persian Gulf and Oman Sea. 8
1. 2.6. Research related to mangrove ecosystem services in Iran. 11
1. 6.3. Research related to monitoring and measuring mangrove forests of Iran. 11
1. 4.6. Research related to afforestation and mangrove seedling production in Iran. 15
1. 6.5. Foreign research. 16
2. Theoretical foundations. 22
2. 1. Definitions 22
2. 1.1. Mangrove forest ecosystem in the world. 23
2. 1.2. Mangrove plants 23
2. 1.3. Factors affecting the formation of mangroves 24
2. 2. Distribution and geographical distribution. 25
2. 2.1. Natural location of mangrove habitats in Hormozgan province. 25
2. 2.2. Distribution of mangrove growths in the southern coasts of Iran. 26
2. 2. 2. 1. Sistan and Baluchistan province. 26
2. 2. 2. 2. Hormozgan province (from east to west) 26
2. 2. 2. 3. Bushehr province. 26
2. 2.3. The extent of Iran's mangrove forests. 27
2. 4.2. Mangrove forests of Hormozgan province. 30
2. 2. 4. 1. distribution 31
2. 2. 4. 2. breadth 32
2. 3. Description of vegetation. 34
2. 3.1. Tree elements of mangrove habitats in Hormozgan province. 34
2. 3. 1. 1. Mangrove tree 34
2. 3. 1. 2. Chandel tree 38
2. 2.3. Phenology of mangrove and chandel species. 41
2. 3.3. Accompanying grass species in mangrove habitats of Hormozgan province. 43
2. 4.3. The structure of mangrove forests in Sirik habitat. 43
2. 4. decision making 48
2. 4.1. Multi-criteria decision making (MCDM) 48
2. 4. 1. 1. Multi-objective models (MODM) 48
2. 4. 1. 1. Multi-indicator models (MADM) 48
2. 4.2. Types of MADM models. 50
2. 4. 2. 1. Analysis Hierarchy Method (AHP) 50
2. 4.3. Evaluation criteria. 53
2. 4. 4. Compatibility ratio (C.R.) 53
2. 4.5. Decision Support System (DSS) 55
2. 6.4. Spatial Decision Support System (SDSS) 56
3. Materials and methods 58
3. 1. Introduction 58
3. 2. Introduction of the studied area. 58
3. 2.1. Geographical location. 58
3. 2.2. Weather condition. 59
3. 2.3. Soil science and land restrictions. 59
3. 4.2. geology 61
3. 2.5. Vegetation and land use of the region. 61
3. 3. Method of doing work 63
3. 3.1. Recognizing the problem. 64
3. 2.3. Tools used 64
3. 3.3. Data collection 64
3. 4.3. Data preparation 64
3. 5.3. Forming a database 65
3. 6.3. Effective criteria in locating areas prone to biological regeneration of mangrove forests 65
3. 7.3. Layers of information. 65
3. 4. Create information layers. 66
3. 4.1. The slope layer of the earth. 66
3. 4.2. Land use layer (coastal) 67
3. 4.3. Geomorphology layer. 70
3. 4. 4. coastal estuaries. 72
3. 5.4. Tide line layer. 73
3. 6.4. Distribution layer of mangrove forest species 75
3. 7.4. Gulkhork distribution layer. 77
3. 8.4. Soil texture layer. 78
3. 4.9. EC layer. 79
3. 10.4. Hydrographic layer (water depth) 80
3. 11.4. Altitude layer. 82
3. 5. Weighting criteria 82
3. 6. Calculate the compatibility rate. 83
4. Results. 86
4. 1. Decision rules or different methods of combining layers 86
4. 2. Integration of information layers and prioritization of places 86
4. 2.1. Determination of slope criterion value. 86
4. 2.2. Determining the value of coastal use criteria. 87
4. 2.3. Determining valueDetermining the geomorphological criterion value. 88
4. 4.2. Determining the benchmark value of coastal estuaries. 90
4. 2.5. Determining the criterion value of the tide line. 90
4. 6.2. Determining the criterion value of mangrove forest distribution 91
4. 2.7. Determining the criterion value of the distribution of flower-eaters. 92
4. 8.2. Determining the standard value of soil texture. 93
4. 2.9. Determining the standard value of electrical conductivity. 94
4. 2.10. Determining the criterion value of water depth. 95
4. 3. Evaluation of inconsistency rates in Expert choice model. 96
4. 4. Integration and analysis of information layers based on the values ??obtained from the AHP method. 97
4. 5. Sensitivity analysis. 97
4. 6. Different scenarios in validating the maps resulting from AHP. 100
4. 6.1. Scenario (1): validation using simple overlap (Fuzzy AHP) 100
4. 2.6. Scenario (2): verification using fuzzy gamma method (Fuzzy AHP) 101
4. 7. Determining the appropriate location using the fuzzy addition method (FUZZY-AHP) and fuzzy gamma (FUZZY-GAMA) 102
5. Discussion and conclusion. 105
5. 1. Introduction 105
5. 2. Testing hypotheses 105
5. 3. Conclusion and discussion. 105
5. 4. Suggestions 108
6. Sources and references. 110
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