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. 2021 Nov 15;16(11):e0259792.
doi: 10.1371/journal.pone.0259792. eCollection 2021.

What can be learned from fishers' perceptions for fishery management planning? Case study insights from Sainte-Marie, Madagascar

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What can be learned from fishers' perceptions for fishery management planning? Case study insights from Sainte-Marie, Madagascar

Thaïs A Bernos et al. PLoS One. .

Abstract

Local support is critical to the success and longevity of fishery management initiatives. Previous research suggests that how resource users perceive ecological changes, explain them, and cope with them, influences local support. The objectives of this study were two-fold. First, we collated local fishers' knowledge to characterize the long-term socio-ecological dynamics of the small-scale fishery of Sainte-Marie Island, in Madagascar. Second, we empirically assessed the individual- and site-level factors influencing support for fishery restrictions. Our results indicate that fishers observed a decline in fish abundance and catch sizes, especially in nearshore areas; many also perceived a reduction in fish sizes and the local disappearance of species. To maintain their catches, most fishers adapted by fishing harder and further offshore. Accordingly, fishers identified increased fishing effort (number of fishers and gear evolution) as the main cause of fishery changes. Collectively, our results highlight that the transition from a subsistence to commercial fishery, and resulting changes in the relationship between people and the fisheries, was an underlying driver of fishery changes. Additionally, we found that gender, membership to local associations, coping mechanisms, and perceptions of ecological health, were all interlinked and significantly associated with conservation-oriented attitudes. Conservation-oriented attitudes, however, were not associated with fishers' willingness to decrease fishing. In the short-term, area-based restrictions could contribute to building support for conservation. In the long-term, addressing the underlying causes of the decline will necessitate collaborations among the various groups involved to progressively build livelihood flexibility. Collectively, our study provides additional insights on the individual- and site-level factors influencing support for fishery restrictions. It also highlights the importance of dialoguing with fishers to ensure that fishery management plans are adapted to the local context.

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Conflict of interest statement

The authors have declared that no competing interests exist.

Figures

Fig 1
Fig 1. Map of Sainte-Marie Island, Madagascar.
The boundaries of the 17 towns (contour line), the four boroughs (shades of grey), as well as coastal lagoons (dotted), are shown. Black dots indicate the town sampled as follow; 1 = Agniribe, 2 = Vohilava, 3 = Mahavelo, 4 = Ambodiforaha (borough = Vohilava); 5 = St Joseph, 6 = Ankobaoba, 7 = Ambodifotatra, 8 = Agnalaradjy (borough = Ambodifotatra); 9 = Maromandia, 10 = Agnafiafy, 11 = Loukintsy, 12 = Sahasifotatra, 13 = Agnivorano (borough = Loukintsy); 14 = Ifotatra, 15 = Ambatourao, 16 = Ambodiatafana (borough = Ambatourao). Data layers: Coral reefs [42], Madagascar subnational administrative boundaries [43].
Fig 2
Fig 2. Sainte-Marie’s fishermen perceptions of catch changes over time estimated from generalized additive model (GAM).
The solid red line is the fitted smooth function for time, the blue dotted lines represent the 95% confidence intervals, the rugs on the margins display the location of individual observations, and the residual points are shown. The y limits of the plot are set (-1
Fig 3
Fig 3. Sainte-Marie’s fishermen reported changes in fishing distance from the shore.
Regression slopes indicate differences the trajectories of changes in fishing distance for each of the four main fishing gear (hook, net, diving, and traps) inferred from generalized linear models. The y limits of the plot are set (0
Fig 4
Fig 4. Visualization of quantitative variables (a) and individuals (b) from a Multiple Factor Analysis (MFA) describing the relationship between support for conservation, individual, and contextal variables for dimension one and two.
On Fig 4A, Individual attributes (IN) include age (young/old), gender (woman/man), association membership (asso/noasso), attachment to fishing (att/noatt), dependence on fisheries (dep/nodep); perceptions related to ecological degradation (ED) include distance to fishing sites (dist/nodist), fish size (size/nosize), fish numbers (num/nonum), and local disapearance (disp/nodisp); perceptions related to underling causes (Co) associated with local fishing (fish/nofish); local assets (LA) include shops (sho/no), hotels (hot/nohot), leisures (leis/noleis), and lagoons (lag/nolag); coping mechanisms include realized (CR) to observed changes (continue/decrease/adapt) and hypothetical (CH) to further changes (continue/decrease/adapt). Support for restrictions (RE) is shown in red (yes/no). On Fig 4B, the small circles are individuals in support (blue) or not in support (red) for fishery restrictions; large symbols indicate mean group values and the elipses show the confidence intervals around group mean points.

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Publication types

Grants and funding

Funding to T.B. was provided by Agence France Volontaire, Noé Conservation, Find-Gret, and Cétamada. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.

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