Spawning aggregation behaviour is clearly an important determinant of the intrinsic vulnerabilityto fishing (Sadovy and Domeier 2005) and should be included in vulnerability frameworks for reeffish. While fish behaviour is increasingly incorporated in frameworks for temperate fisheries (Patricket al. 2009), it has rarely been examined in the context of reef fisheries. Moreover, assumptionsregarding the higher vulnerability conferred by schooling compared to aggregative behaviour(Cheung et al. 2005), which were largely derived for temperate fisheries (Pitcher 2001), may beless valid in coral reef fisheries where aggregative behaviour is often associated with <strong>spawning</strong> byprotogynous species. Consequently, efforts at testing a vulnerability index based on life historyand ecological traits by Cheung et al. (2005), which included a fish spatial social behaviour indexderived from a temperate fisheries perspective, required the addition of supplementary informationon <strong>spawning</strong> aggregation behaviour in order to predict reef fish population decline.Socio-economic indicators have been developed and examined in several fisheries contexts, some ofwhich were modified for our framework (e.g. Clua et al. 2005; Patrick et al. 2009). Our challengewas to identify indicators representing susceptibility to fishing and socio-economic drivers relevantto aggregation fisheries. However, much of the research on <strong>spawning</strong> aggregations is biological andthere are few studies that focus on the fishery dynamics, including the socio-economic drivers offishing though this is changing (see Sadovy de Mitcheson and Erisman 2012). It is important thatthe socio-economic context is assessed for improved monitoring and management of aggregationfisheries. Basic information can be obtained using rapid appraisal techniques and used to informindicator-based approaches.Although the aim of the framework is to evaluate fisheries in data-poor contexts, it will be necessaryto test the extrinsic index and the framework in a data-rich context. Specifically, it would beinformative to examine aggregation fisheries using this framework where independent assessmentdata on stock and aggregation status are available. For example, several tropical western Atlanticfisheries may meet these criteria and the extrinsic indicators could be scored by experts in thosefisheries. Independent information on stock and aggregation status is available for only a few of theWIO fisheries assessed here. However, it is notable that LRFFT fishery at Cosmoledo, which was themost extrinsically vulnerable, was closed when aggregation fishing produced catches that exceededlimit reference points for the stocks in only two months of fishing (Aumeeruddy and Robinson2006). By comparison, the Farquhar serranid populations had lower extrinsic vulnerability andtheir targeted fisheries do not appear to have severely depleted aggregations (Robinson et al.2008b). Likewise, the Praslin S. sutor fishery scored in the bottom-left quadrant and is known tobe a relatively sustainable fishery (Robinson et al. 2011).A number of other improvements to the framework were identified in this preliminary evaluation.Even though the extrinsic indicators were hierarchical, it is recommended that indicators areweighted using expert opinion, as some were considered more important drivers or pressures.Additional indicators could include a technological index since navigation (GPS) and fish-findingequipment are known to increase susceptibility of <strong>spawning</strong> aggregations (Coleman et al. 1999;Koenig et al. 2000). In addition to improving the extrinsic indicators, both indices are relativemeasures of vulnerability and the strength of the framework depends of the number of fisheriesassessed. As more aggregation-based fisheries in the WIO are documented they can be readilyincorporated and evaluated by the framework. However, even with small numbers of fisheries,the framework can serve as a useful tool for fisheries monitoring in terms of tracking changes inextrinsic indicators over time and for prioritising management action.112
Chapter 12: Conservation and fisheries effects ofprotecting species forming <strong>spawning</strong> aggregations usingno-take marine reservesJan Robinson, Arnaud Grüss and David KaplanIntroductionThe study of reef fish <strong>spawning</strong> aggregations and their fisheries typically raises concerns forconservation and management. This is due to the fact that many species forming aggregationsfor the purpose of <strong>spawning</strong> (hereafter referred to collectively as ‘aggregative spawners’) arevulnerable to exploitation and very few aggregation fisheries appear to be sustainable (Sadovyand Domeier 2005; Sadovy de Mitcheson and Erisman 2012). Given widespread decline andcollapse of <strong>spawning</strong> aggregations and the unsustainable depletion of the populations fromwhich they form, a conservation response is often imperative (Sadovy de Mitcheson et al. 2012).Consequently, no-take reserves (NTRs) combined with temporal catch and market restrictions areoften recommended (Johannes 1998; Domeier et al. 2002; Rhodes and Warren-Rhodes 2005) andapplied for the protection of <strong>spawning</strong> aggregations (Sadovy de Mitcheson et al. 2008; Russell etel. 2012). However, as is the case with the general application of NTRs for supporting fisheriesmanagement objectives, notably for enhancing yields (Hilborn et al. 2004), critical science andimplementation constraints remain in the use of this tool for protecting aggregative spawners (Saleet al. 2005; Le Quesne 2009).Spawning aggregation-based NTRs differ fundamentally from conventional NTRs models that aimto produce conservation and fisheries benefits. Conventional NTRs aim to confer both persistenceof a proportion of population biomass within their boundaries and a net export of eggs and larvae(‘larval subsidy’) and adults (‘spillover’) to fished areas in order to enhance yield (Gell and Roberts2003; Russ et al. 2004; McClanahan 20<strong>10</strong>). Small NTRs that only protect the area of reef where<strong>spawning</strong> aggregations form typically do not contain a significant resident biomass, since the vastmajority of the population will reside in areas beyond the NTR for much of the year, only migratinginto the protected area during <strong>spawning</strong> periods (e.g. Hutchinson and Rhodes 20<strong>10</strong>; Rhodes etal. 2012). Thus, <strong>spawning</strong> aggregation-based NTRs deviate from conventional models in that theydo not create the conditions for spillover and larval subsidy and will only offer protection to mostparticipating adult fish during a limited part of the year. This distinction may appear obvious, butthe fundamental difference between movement leading to spillover and yield enhancement from aconventional reserve, and mobility associated with migrations to and from a <strong>spawning</strong> area, is ofteninexplicit in the discourse on NTR effects for highly mobile species (Gaines et al. 20<strong>10</strong>).A few empirical (e.g. Beets and Friedlander 1998; Rhodes and Sadovy 2002b; Claro and Lindeman2003; Burton et al. 2005; Rhodes and Warren-Rhodes 2005; Nemeth 2005; Rhodes and Tupper2008; Mangubhai et al. 2011) and theoretical studies (Alonzo and Mangel 2004; Heppell et al.2006) have addressed the effects of <strong>spawning</strong> aggregation-based NTRs. While empirical evidenceof recovery remains scarce and is limited to a single site (e.g. Beets and Friedlander 1998; Nemeth2005), the existing studies do generally concur that NTRs protecting <strong>spawning</strong> aggregationsites can lead to significant increases in population size, biomass and, in the case of protogynouspopulations, normalization of sex ratio (Beets and Friedlander 1998). The latter effect is thought toimprove egg fertilization rates (Coleman et al. 1996; Rhodes and Warren-Rhodes 2005).The caveat to this concurrence is that such benefits are undermined or lost if fish suffer high fishingmortality as juveniles or as adults when outside of the protected <strong>spawning</strong> sites. Due to generallylow catchability outside of the <strong>spawning</strong> season, a few groupers are often fished almost exclusivelywhile aggregating to spawn (e.g. Nassau grouper, Epinephelus striatus: Sadovy and Eklund 1999;113
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The designation of geographical ent
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Chapter 1: IntroductionJan Robinson
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limited, subsistence levels of expl
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NTRs for spawning aggregations usin
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al. 2003). Verification may include
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a fraction of spawning sites are pr
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Chapter 3: Targeted fishing of the
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verifying spawning aggregations, we
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2011b). However, observations of fi
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n=199Females GSI (mean ± SE)2.521.
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Of the 9 tagged fish detected by re
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Spawning aggregation site fidelity
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Chapter 6: Shoemaker spinefoot rabb
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anterior of the anus and below the
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A high percentage (80.8%) of depart
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arrivals and departures at these tw
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are typically applied for reef fish
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(a)(b)(c)Chapter 3, Figure 3. Spati
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(1)(2)(3)(4)(5)(6)Chapter 7, Table
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