Table 3. Percentage of respondents at each site who mentioned specific factors that could affect the number of fish in the sea. Causal mechanisms explain how respondents believed the factor that they mentioned affects fish abundance. Respondents could mention more than one category, so the columns will not necessarily add up to 100%.
| |
| |
|
Response category |
Cap Masoala |
Sahamalaza |
Tanjona |
Nosy Atafana |
Tampolo |
All sites |
| |
|
Human agency |
47 |
72 |
63 |
44 |
52 |
57 |
|
Fisheries |
45 |
72 |
63 |
44 |
52 |
57 |
|
Number of fishers |
31 |
62 |
48 |
23 |
31 |
41 |
|
Fishers from outside |
4 |
12 |
6 |
0 |
12 |
7 |
|
Nets |
14 |
6 |
23 |
23 |
7 |
14 |
|
Other gear |
8 |
3 |
2 |
2 |
5 |
4 |
|
Social/cultural factors |
4 |
2 |
4 |
0 |
0 |
2 |
|
Stochastic events, e.g., climate change, political conditions |
6 |
2 |
4 |
0 |
0 |
2 |
|
Supernatural causes, e.g., gods, ancestors |
0 |
2 |
0 |
14 |
2 |
3 |
|
Causal mechanisms |
24 |
12 |
25 |
40 |
29 |
25 |
|
Habitat |
18 |
6 |
15 |
9 |
2 |
10 |
|
Reproduction |
16 |
2 |
4 |
7 |
7 |
7 |
|
Life-history stages |
2 |
2 |
2 |
16 |
19 |
7 |
|
Fish mortality |
0 |
2 |
4 |
7 |
7 |
4 |
Fish behavior,
e.g., moved, hiding |
4 |
3 |
6 |
14 |
2 |
6 |
|
Don’t know |
33 |
14 |
23 |
16 |
33 |
23 |
|
| |
|