Regional Sustainability ›› 2023, Vol. 4 ›› Issue (3): 282-295.doi: 10.1016/j.regsus.2023.08.006cstr: 32279.14.j.regsus.2023.08.006
• Full Length Article • Previous Articles Next Articles
Daniel ETONGOa,b,*(), Uvicka BRISTOLb, Terence Epule EPULEc,d, Ajith BANDARAe, Sandra SINONf
Received:
2023-02-16
Revised:
2023-06-02
Accepted:
2023-08-28
Published:
2023-09-30
Online:
2023-10-20
Contact:
*E-mail address: Daniel ETONGO, Uvicka BRISTOL, Terence Epule EPULE, Ajith BANDARA, Sandra SINON. Expert elicitations of smallholder agroforestry practices in Seychelles: A SWOT-AHP analysis[J]. Regional Sustainability, 2023, 4(3): 282-295.
Table 1
The categories and factors of strengths, weaknesses, opportunities, and threats (SWOT) approach for agroforestry in Seychelles."
SWOT category | SWOT factor |
---|---|
Strengths | S1: Receptive and hardworking farmer |
S2: Increased agricultural production | |
S3: Control runoff and soil erosion | |
S4: Maintain soil organic matter and biological activity at satisfactory level for soil fertility | |
S5: Soil and biodiversity conservation benefits | |
Weaknesses | W1: Small land sizes and competition with crops |
W2: High investment cost and a long time to get benefits | |
W3: Lack of coordination of agroforestry interventions | |
W4: Short land lease agreement | |
W5: Lack of education, information, and communication between the government and farmers | |
Opportunities | O1: Existence of tree seed center |
O2: Existing community-based forestry projects | |
O3: Willingness of international organizations to fund agroforestry-related activities | |
O4: Existence of native tree species on farmland | |
O5: Development of agro-tourism | |
Threats | T1: Climate change and variability |
T2: Change in government policies on land use | |
T3: Large boulders and steep slopes on farmlands | |
T4: Loss of indigenous stocks of tree species from deforestation | |
T5: Population growth |
Table 2
Pairwise comparison scale with different levels of importance ranging from 1 to 9."
Degree of importance | Explanation |
---|---|
1 | Two criteria contribute equally to the objective. |
3 | Experience and judgment slightly favor one over another. |
5 | Experience and judgment strongly favor one over another. |
7 | Criterion is strongly favored and its dominance is demonstrated in practice. |
9 | Importance of one over another affirmed on the highest possible order. |
2, 4, 6, and 8 | Used to represent compromise (intermediate values) between the priorities listed above. |
Table 3
Priority score of each SWOT factor evaluated by researchers and government extension workers."
SWOT category | SWOT factor | Factor priority score within the group | Overall priority score | ||
---|---|---|---|---|---|
Researchers | Extension workers | Researchers | Extension workers | ||
Strengths | S1: Receptive and hardworking farmers | 0.070 | 0.033 | 0.019 | 0.012 |
S2: Increased agricultural production | 0.542 | 0.255 | 0.146 | 0.094 | |
S3: Control runoff and soil erosion | 0.212 | 0.266 | 0.057 | 0.098 | |
S4: Maintain soil organic matter and biological activity at satisfactory level for soil fertility | 0.128 | 0.196 | 0.035 | 0.073 | |
S5: Soil and biodiversity conservation | 0.048 | 0.250 | 0.013 | 0.093 | |
Total | - | - | 0.270 | 0.370 | |
Weaknesses | W1: Small land size and competition with crops | 0.041 | 0.493 | 0.006 | 0.069 |
W2: High investment costs and a long time to get benefits | 0.217 | 0.231 | 0.032 | 0.032 | |
W3: Lack of coordination of agroforestry interventions | 0.083 | 0.139 | 0.012 | 0.019 | |
W4: Short land lease agreement | 0.325 | 0.081 | 0.048 | 0.011 | |
W5: Lack of education, information, and communication between the government and farmers | 0.334 | 0.056 | 0.049 | 0.008 | |
Total | - | - | 0.147 | 0.139 | |
Opportunities | O1: Existence of tree seed center | 0.033 | 0.360 | 0.011 | 0.128 |
O2: Existing community-based forestry projects | 0.088 | 0.106 | 0.029 | 0.039 | |
O3: Willingness of international organizations to fund agroforestry-related activities | 0.531 | 0.103 | 0.177 | 0.038 | |
O4: Existence of native tree species on farmlands | 0.118 | 0.399 | 0.039 | 0.138 | |
O5: Development of agro-tourism | 0.230 | 0.032 | 0.077 | 0.012 | |
Total | - | - | 0.333 | 0.355 | |
Threats | T1: Climate change and variability | 0.183 | 0.300 | 0.046 | 0.039 |
T2: Change in government policies on land use | 0.477 | 0.150 | 0.119 | 0.019 | |
T3: Large boulders and steep slopes on farmlands | 0.068 | 0.174 | 0.017 | 0.028 | |
T4: Loss of indigenous stocks of tree species from deforestation | 0.136 | 0.103 | 0.034 | 0.015 | |
T5: Population growth | 0.136 | 0.273 | 0.034 | 0.035 | |
Total | - | - | 0.250 | 0.136 |
Fig. 3.
Overall priority scores of SWOT factors weighted by researchers. S1, receptive and hardworking farmers; S2, increased agricultural production; S3, control runoff and soil erosion; S4, maintain soil organic matter and biological activity at satisfactory level for soil fertility; S5, soil and biodiversity conservation; W1, small land size and competition with crops; W2, high investment costs and a long time to get benefits; W3, lack of coordination of agroforestry interventions; W4, short land lease agreement; W5, lack of education, information, and communication between the government and farmers; O1, existence of tree seed center; O2, existing community-based forestry projects; O3, willingness of international organizations to fund agroforestry-related activities; O4, existence of native tree species on farmlands; O5, development of agro-tourism; T1, climate change and variability; T2, change in government policies on land use; T3, large boulders and steep slopes on farmlands; T4, loss of indigenous stocks of tree species from deforestation; T5, population growth."
Table S1
List of trees commonly grown in agroforestry systems in Seychelles."
Name of tree (in English) | Name of tree in local language (Creole) | Name of tree (Latin name) |
---|---|---|
Jack fruit | Zak | Artocarpus heterophyllus |
Arabica coffee | Kafe | Coffea arabica L. |
Soursop | Korosol | Annona muricata |
Sour orange | Zoranz gro lapo | Citrus aurantium |
Rousaille | Rousay | Eugenia uniflora |
Pomelo | Pamplemousses | Citrus grandis |
Pomegranate | Grenad | Punica granatum |
Mangosteen | Mangousta | Garcinia mangostana |
Mango | Mang | Mangifera indica |
Malay apple | Pom local/Pom gouverman | Syzygium malaccensis |
Lemon | Limon | Citrus limon |
Java plum | Zanblon | Syzgium cumini |
Java apple | Zanmalak | Syzygium samarangense |
Guava | Gouyav | Psidium guajava |
Granadilla | Grenadin | Passiflora quadrangularis |
Golden apple | Frisiter | Spondias dulcis |
Fig | Fig | Ficus carica |
Egg fruit | Zapot | Pouteria campechiana |
Chinese guava | Gouyav de sin | Psidium cattlecianum |
Cherimoya | Serimolia | Annona cherimolia |
Calamondin | Bigarad | Citrus mitis |
Bullock heart | Kerd Bef | Annona reticulata |
Blimbing | Bilenbi | Averrhoa bilimbi |
Bilimbelle | Bilenbel | Phyllanthus acidus |
Banana | Banann | Musu spp. |
Avocado | Zavoka | Persea americanna |
Star apple | Kaymet | Chrysophyllum cainito |
Star fruit | Karanbol | Averrhoa carambola |
Sugarcane | Kan | Saccharum officinarum |
Sugar apple | Zat | Annona squamosa |
Tamarind | Tanmaren | Tamarindus indica |
Vavangue | Vavang | Vangueria madagascariensis |
Breadfruit | Friyapen | Artocarpus altilis |
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