a socio-economic baseline assessment of the mnazi bay - IUCN

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For fishing households, the link between MSL score and boat use, gear used, type of boat used were investigated. Factors likely to affect the MSL score are presented in Table 26. Table 26: Factors taken into consideration for the analysis of MSL scores Factors All households Marine dep. Households Fishing dep. households Geographic Village Village Village Demographic Household size, Gender of the Head of Household (HH) Household size, Gender of the HH Household size Main activity Fishing system Number of activity, income, marine/non marine, crops, Marine dependence only. Type of marine dep. activity, Sole dependence on Marine res. Number of activities Gear, boat use, boat ownership. Other natural resource dep. Households Type of other nat. res. based activity Only significant results are presented in this report, these are summarized in Tables 27 to 29. Results are considered significant for p
Factors Number of activities Sole dependence on Marine resources Area (excluding Mahurunga) Table 29: Significant Pearson correlation All households Marine dep. Fishing dep. Households households N r p N t p N r p 640 0.104 0.02 170 0.172 0.03 220 4.7 0.00 158 2.7 0.02 169 2.5 0.02 5.3.2 At a general level Results of the analysis of variance show that there is a significant difference in the scores across the villages. On average, households in Msimbati and Tangazo are better off than in other villages (Table 30). Table 30: Average MSL score per village and rank according to the score Village Average MSL Rank Msimbati 7.8 1 Mngoji 6.9 3 Litembe 6.7 5 Tangazo 7.7 2 Mahurunga 6.8 4 All 7.4 This may be due to the fact that these villages were largest and possibly main trade centres, thus provide a wider spectrum of opportunities for households. The slight positive correlation of the Scores with the number of activities a household carries out may confirm this (Table 31). Table 31: Significant correlation between number of activities carried out by a households and MSL score Number activities MSL Score 0.143 Widow headed household were found to be poorer than other households on average (Table 32) as shown by the results below with an average score of 5.2 against 7.6 for other activities. This is similar to findings of other studies ( Haddad et al., 1994). Table 32: Significant difference in MSL scores between widow headed households and others. Group Average MSL Non Widow HH 7.6 Widow HH 5.7 65
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IUCN Eastern Africa Programme Mnazi
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The designation of geographical ent
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Appendix 5: Examples of maps of vil
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ACKNOWLEDGEMENTS This work could no
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Tidal and seasonal patterns affect
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• Destructive methods, particular
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A UNDP/GEF project was initiated in
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establishing sustainable management
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1.4.3 Focus groups and mapping Focu
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(number and proportion of marine re
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2.3 Fishing In 1996, the number of
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Other opportunities are facilitated
Page 26 and 27: The proportion of women headed hous
Page 28 and 29: % 100 90 80 70 60 50 40 30 20 10 0
Page 30 and 31: As shown in Map 1, the proportion o
Page 32 and 33: Map 2: Level of dependence on marin
Page 34 and 35: Table 8: Average number days and mo
Page 36 and 37: On average in mangrove villages, th
Page 38 and 39: Stakeholders Type of activity Origi
Page 40 and 41: Boats are used for most gears. A sm
Page 42 and 43: Larger mesh size set nets (4-7 inch
Page 44 and 45: large and medium size mesh nets are
Page 46 and 47: Table 13: Timing, location and main
Page 48 and 49: Interviews suggest that for most ge
Page 50 and 51: Fishing in the Marine Park is mainl
Page 52 and 53: The daily income per fisher can be
Page 54 and 55: 4.2.6 Perceived changes in the last
Page 56 and 57: Table 18: Resource use patterns, sp
Page 58 and 59: 4.4.2 Perceived changes in shell re
Page 60 and 61: The Marine Park marine products are
Page 62 and 63: Drying swim bladder (by E. Mottier)
Page 64 and 65: 4.5.1.2 Fish and ‘dagaa’ (fresh
Page 66 and 67: 4.6.1 Marine Park related issues an
Page 68 and 69: Fishing is dominated by men, except
Page 70 and 71: 5 SOCIO-ECONOMIC STATUS 5.1 Measuri
Page 72 and 73: 5.2 Results: Asset distribution 5.2
Page 74 and 75: Figure 14: Livestock type as a % of
Page 78 and 79: 5.3.3 Wealth and activities No sign
Page 80 and 81: Table 39: Average MSL score of fish
Page 82 and 83: 6 DISCUSSION AND RECOMMENDATIONS 6.
Page 84 and 85: 6.1.1.2 On shell extraction and tra
Page 86 and 87: for MBREMP marine resources is guid
Page 88 and 89: Prompting will be used in order to:
Page 90 and 91: For traders: - where they buy their
Page 92 and 93: 6.2.6.2 Why more monitor more infor
Page 94 and 95: 7 CONCLUDING REMARKS Apart from inc
Page 96 and 97: Linden, O. & C.G. Lundin (1996) Pro
Page 98 and 99: 9 APPENDICES APPENDIX 1: TRAINING M
Page 100 and 101: 4. Note taking • Write informatio
Page 102 and 103: 4. Interview Preparation 4.1. Autho
Page 104 and 105: Shell collectors (what equipment do
Page 106 and 107: At the beginning of each sheet: Lis
Page 108 and 109: APPENDIX 3: DATA ENTRY TEMPLATE (FO
Page 110 and 111: APPENDIX 4: INTERVIEW GUIDES RESOUR
Page 112 and 113: 5. B SEA WEED FARMERS: INTERVIEW GU
Page 114 and 115: 5. C. SHELL FISHERS INTERVIEW GUIDE
Page 116 and 117: 5.D. TRADERS INTERVIEW GUIDE/FORM V
Page 118 and 119: APPENDIX 5: EXAMPLES OF MAPS OF VIL
Page 120 and 121: Map 4: Litembe Fishing grounds (han
Page 122 and 123: Map 9: Mkubiru fishing grounds (han
Page 124 and 125: APPENDIX 6: QUESTIONNAIRE (SOCIO-EC
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13. Tafadhali orodhesha shughuli zo
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20: wavuvi au mvuvi wa kaya hii ana
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10. Do they get power? 11. Do they
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18. Please ask about this household
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APPENDIX 8: TRAINING NOTES ON THE H
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FILLING THE SHEETS AND SAVING THE D
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Ntuvituvi Nyumdo Osala/Chaa Pandupa
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