found S. sutor contributed up to 44.8% of the catch from five commonly used gears which includethe same four gears in this study, plus beach seines (Samoilys et al. 2011b). Three fishing gears,basket trap, hook and line and gill net, dominated the S. sutor fishery in Msambweni but fishersreported that they only used basket traps and hand line to catch S. sutor on <strong>spawning</strong> aggregationswhich was supported by observations of fishing boats and traps on the three purported aggregationsites during December-March (GW, MS pers. obs; see also Chapter 5). This result is noteworthyas it indicates that gear based controls for these two gears could be considered in managementoptions. Fishers also said that they used small gill nets on inshore fishing grounds to target S. sutorreturning from aggregation sites, and that neighbouring fishers used small purse seines to targetaggregations, but we were unable to verify these statements.Fishers’ knowledge of <strong>spawning</strong> aggregations and targeted fishing of <strong>spawning</strong> sitesThe majority of fishers (84%) reported that they were knowledgeable of <strong>spawning</strong> aggregations ofS. sutor providing information on the movement of S. sutor to offshore <strong>spawning</strong> aggregation sites,the location of key <strong>spawning</strong> sites and the seasonal and lunar timing of their formation. The useof key informants, some recommended by other fishers, no doubt contributed to this extensiveknowledge. This information does not provide direct verification of the existence of these <strong>spawning</strong>aggregations because none of the indicators of <strong>spawning</strong> aggregation occurrence (Colin et al. 2003,Domeier 2012) are fully met. In particular, high seasonal landings and multiple gravid females thatcould be attributed to these three sites were not measured. The fishers’ knowledge collected herewas, however, corroborated by underwater visual census surveys and acoustic tagging of S. sutoraround the same three <strong>spawning</strong> aggregation sites (Chapter 5). Further, the fishers’ informationclosely matched our observations of S. sutor with distended bellies and exuding hydrated (“runningripe”) eggs in artisanal catches during the November-February. We therefore conclude that thesestudies, together with measures of GSI (Chapter 4), collectively provide convincing evidence thatthe three sites were <strong>spawning</strong> aggregations sites. It is strongly recommended that a future studyaddress this research gap by working with fishers targeting the three sites to measure their catches,document the total fishing effort and take samples to verify females are running ripe. Our studydemonstrates the importance of using fishers’ knowledge in fisheries management and research(Johannes 1997, 1998, Seixas and Begossi, 2001, Sadovy and Cheung, 2003, Sadovy and Domeier2005, Tamelander et al. 2008) which is also an inexpensive and relatively quick way of locating andunderstanding <strong>spawning</strong> aggregations.Reproductive biology studies along the East African coast have reported two distinct <strong>spawning</strong> seasonsfor S. sutor: January/February and May/June off the Kenyan coast (Ntiba and Jaccarini 1990); andan extended December to May <strong>spawning</strong> season with a peak in March for S. sutor in Dar es Salaammarine reserve systems (Kamukuru 2006). Fishers reported <strong>spawning</strong> aggregations of S. sutor formedprimarily during November to February during and just after the full moon period and they used theIslamic lunar calendar to precisely identify days of <strong>spawning</strong>, equivalent to the “lunar day” presentedin this study. Many reef fishes spawn in time with the moon (Johannes, 1978, Robinson et al. 2004,Sadovy de Mitcheson 2008) including rabbitfish. For example Seagrass and Spiny rabbitfish spawnon or around new moon (Harahap et al. 2001; Rahman et al. 2003), whereas Golden rabbitfishand the Forktail rabbitfish synchronously spawn around the first and last quarters of the moon,respectively (Rahman et al. 2003; Takemura et al. 2004). Based on the present study and associatedstudies (Chapters 4 and 5) we suggest that S. sutor appears to have its peak <strong>spawning</strong> period betweenNovember and February which was corroborated by elevated gonadosomatic indices (GSI) whichwere highest during November-January (Chapter 4). This is very similar to that seen in the timing of S.sutor <strong>spawning</strong> aggregations on the Seychelles Banks which peak in November - December (Robinsonet al. 2004). The full moon timing of the aggregations reported by fishers here was corroborated byelevated GSI values from females caught during the full moon period and UVC and acoustic taggingsurveys in the same area (Chapters 4 and 5). <strong>Full</strong> moon timing of <strong>spawning</strong> aggregations was alsodetected by detailed acoustic tagging work on S. sutor in Seychelles (Chapter 6).24
Spatial and temporal patterns in fishing and catch rates from the 12 months of creel survey datashowed that the bulk of catches and hence fishing effort on S. sutor were from the inshore areas inthe seagrass beds fringing the shore or within the lagoon inside the fringing reef, or within Gazi Bay.The shift in fishing effort during the <strong>spawning</strong> season to offshore, including the possible <strong>spawning</strong>aggregation sites, provides support for the existence of these temporal <strong>spawning</strong> aggregationsand the interpretation that fishers target them. However, GSI values also showed a peak in June-July (Chapter 4). We were unable to verify this through fishers’ knowledge and rough weatherconfounds the fishing pattern: the fact that fishers do not fish offshore during the presumed non<strong>spawning</strong>season may simply be a result of the strong seas during that south-easterly monsoonseason. Nevertheless we maintain that fishing the three <strong>spawning</strong> aggregation sites during the fullmoon periods of Nov-Mar represents a targeted <strong>spawning</strong> aggregation fishery for S. sutor in theMsambweni area.The results leave us with several questions: how common are offshore <strong>spawning</strong> aggregation sitesfor S. sutor along the Kenyan coast? Are the sites off Msambweni a feature of this broken up stretchof reef with no distinct fringing reef, or do S. sutor find offshore patch reefs outside the fringing reeffurther north? Do S. sutor spawn simply in pairs in their home ranges during June-July? Possibly,they do migrate to the offshore aggregation sites in June-July but fishers do not fish them at thattime because the weather is very rough and the sites inaccessible to fishers in dug-out canoes.This was corroborated by very few landings from the three <strong>spawning</strong> sites during the south-eastmonsoon months of June-July.Fishers reported a 3.5 fold increase in their catch rates when fishing <strong>spawning</strong> aggregations whichgave them substantially higher catch rates. However, they also reported substantial declines (>70%)in catch rates of S. sutor over the last 20 years. This trend may reflect a rate of decline in the sizeof <strong>spawning</strong> aggregations or overall declines in the stock, or both. The maximum numbers of S.sutor observed underwater on the three aggregation sites was only 184 (Chapter 5), compared withseveral hundred observed in Seychelles (Robinson et al. 2004). Several fishers said that the sizes ofS. sutor <strong>spawning</strong> aggregations today are far below the levels observed before the 1980s, and also lastfor a shorter period, and that knowledge of S. sutor <strong>spawning</strong> aggregations has become increasinglywidely known, though, perhaps surprisingly, they did not attribute declines in catches to targetedfishing of aggregations. Negative impacts from targeted fishing of <strong>spawning</strong> aggregations are nowwell documented (e.g. Sadovy 1994, Claro and Lindeman, 2003, Sadovy and Domeier, 2005). Thedeclines reported here by fishers, the possible changes in <strong>spawning</strong> behaviour of S. sutor and the lownumbers in aggregations are all cause for concern over the sustainability of current fishing practiceson S. sutor populations. However, the “r” strategy life history pattern seen in S. sutor of short lifespan of around 2 years (Jehangeer 1988; Grandcourt 2002), protracted <strong>spawning</strong> season and dualmodes of <strong>spawning</strong> may make the species resilient to heavy fishing pressure.Value of <strong>spawning</strong> aggregation fishing of S. sutor to fishersThis study established that fishers exploit three S. sutor likely <strong>spawning</strong> aggregation sites for homeconsumption and sale locally, a practise that they say has existed for generations. We calculated thatcatches of S. sutor landed from basket traps and hook and lines within the estimated total periodof aggregation <strong>spawning</strong> (16 days), was valued at $6,685 and this represents 25.8% of the annualS. sutor catch (23,551 kg.yr -1 ). However, this estimate is likely to be an over-estimate because itassumes that all active fishers would fish aggregations during the reproductive period. Therefore weproposed a more realistic, albeit approximate, estimate of the total annual catch from these threeaggregations as 2,701kg.yr -1 , valued at $2,971, representing 11.5% of the total annual S.sutor catch,based on a projected number of fishers potentially fishing these sites. A concurrent study measuredthe combined area of the three <strong>spawning</strong> aggregation sites at 0.064km 2 (Chapter 5) which indicatesthe <strong>spawning</strong> aggregation harvest of 2,701kg.yr -1 is equivalent to a yield of 42.2 t.km -2 .yr -1 of S.sutor; a yield that is 7 times more than the average productivity of Kenyan reefs (Samoilys et al.25
- Page 4: The designation of geographical ent
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Materials and methodsStudy area and
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TL. All fish tagged were considered
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ResultsBetween 2003 and 2006, the c
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A few species (e.g. Epinephelus gut
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Fig. 2. Number of E. lanceolatus ob
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was having any impact on the popula
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A spawning aggregation is said to o
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Chapter 11: Evaluation of an indica
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Table 1 Aggregation fisheries asses
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the lists of Jennings et al. (1999)
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with the more vulnerable labrids an
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The remaining serranid populations
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Spawning aggregation behaviour is c
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tiger grouper, Mycteroperca tigris:
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of protecting the normal residence
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Fig. 2 Yield-per-recruit normalized
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The approaches identified above are
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during full moon periods. Siganus s
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model, many parameter estimates are
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ReferencesAbunge C (2011) Managing
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Cox DR (1972) Regression models and
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Grüss A, Kaplan DM, Hart DR (2011b
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Kaunda-Arara B, Rose GA (2004a) Eff
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Newcomer RT, Taylor DH, Guttman SI
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Sancho G, Petersen CW, Lobel PS (20
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Appendix 1. QuestionnaireMASMA SPAW
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8. Spawning aggregation knowledgeUs
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Example items KSh Furthest site Clo
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Appendix II. Experimental testing o
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Clove oil concentrationAt a concent
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Appendix III. Application of acoust
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