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Trophic habitat of the Pacific sharpnose shark, Rhizoprionodon longurio, in the Mexican Pacific

Published online by Cambridge University Press:  13 August 2013

Vanessa Guadalupe Alatorre-Ramirez
Affiliation:
Centro Interdisciplinario de Ciencias Marinas, Instituto Politécnico Nacional, Avenida IPN s/n Col. Playa Palo de Santa Rita, La Paz, B.C.S. C.P. 23096México
Felipe Galván-Magaña*
Affiliation:
Centro Interdisciplinario de Ciencias Marinas, Instituto Politécnico Nacional, Avenida IPN s/n Col. Playa Palo de Santa Rita, La Paz, B.C.S. C.P. 23096México
Yassir Edén Torres-Rojas
Affiliation:
Instituto de Ciencias del Mar y Limnología, Universidad Nacional Autónoma de México, Avenida Joel Montes Camarena S/N Apartado Postal 811 C.P. 82040, Mazatlán, Sin. México
*
Correspondence should be addressed to: F. Galván-Magaña, Centro Interdisciplinario de Ciencias Marinas. Instituto Politécnico Nacional, Avenida IPN s/n Col. Playa Palo de Santa Rita, La Paz, B.C.S. C.P. 23096México email: galvan.felipe@gmail.com
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Abstract

The Pacific sharpnose shark Rhizoprionodon longurio is caught seasonally by inshore artisanal fisheries in the Mexican Pacific. Our study focuses on the feeding ecology of this shark species in the southern Gulf of California. The prey species obtained from stomach contents were identified and quantified, and variations between sexes and maturity stages were determined. A total of 98 stomachs were analysed during two periods (2000–2001 and 2003–2004); 64% of stomachs contained food. The trophic spectrum was composed of four cephalopod species, three crustacean species, and 13 pelagic and benthic fish species. According to the index of relative importance (%IRI), the fish Echiophis brunneus (IRI = 14.4%), Opisthopterus dovii (IRI = 12.2%) and Scomber japonicus (IRI = 9.6%) were the main prey items. Based on diversity values, IRI values and diet breadth, R. longurio is an opportunistic predator. The trophic position of R. longurio was above four in all categories, which indicates that this shark is a tertiary consumer.

Type
Research Article
Copyright
Copyright © Marine Biological Association of the United Kingdom 2013 

INTRODUCTION

The Pacific sharpnose shark Rhizoprionodon longurio (Jordan & Gilbert, 1842) is a small coastal species that lives over soft muddy and sandy bottoms of the continental shelf of the eastern tropical Pacific (from California, USA, through Central America, to Peru in South America). This shark can be found from the intertidal zone to at least 27 m depth (Compagno, Reference Compagno and Hamlett1990). The size at birth varies between 30 and 37 cm total length (TL); the maximum TL reported in Mexico is 120 cm (Márquez-Farías et al., Reference Márquez-Farías, Corra-Espinosa and Castillo-Géniz2005). Males mature at 93 cm TL and females at 83 cm TL. Females produce between one and 12 embryos, with an average of 7.4 pups per litter (Springer, 1964; Compagno, Reference Compagno1984; Bizzarro et al., Reference Bizzarro, Smith, Jones and Cailliet2000).

This species is caught in artisanal fisheries in the Mexican Pacific (Castillo-Géniz, Reference Castillo-Géniz1990; Márquez-Farías et al., Reference Márquez-Farías, Corra-Espinosa and Castillo-Géniz2005). It has been reported in the Gulf of California along the coasts of Sinaloa and Sonora during winter (January, February) and spring (March, April, May), and probably moves to deeper waters in the Gulf of California during summer and autumn (Kato & Hernández, Reference Kato, Hernández, Gilbert, Mathewson and Rall1967; Márquez-Farías et al., Reference Márquez-Farías, Corra-Espinosa and Castillo-Géniz2005).

Rhizoprionodon longurio is one of the most abundant coastal sharks in the southern Gulf of California (Bizzarro et al., Reference Bizzarro, Smith, Jones and Cailliet2000), where 91% of shark catches consist of Mustelus henlei (Gill, 1863), Sphyrna lewini (Griffith & Smith, 1834) and R. longurio (Castillo-Géniz, Reference Castillo-Géniz1992). In the Mazatlan area this shark species constitutes 45% of shark artisanal fisheries (Castillo-Géniz, Reference Castillo-Géniz1992). However, there is evidence of declines in some artisanal fishery landings of this species, and further investigation is required to determine the impact of fisheries on this species throughout its distribution range (Smith et al., Reference Smith, Márquez-Farias and Pérez-Jiménez2009).

A moratorium on elasmobranch fishing permits in Mexico has been issued (NOM-029-PESC-2006); there is to be no increase in the total allowable catch of sharks and rays, protection of breeding and birthing areas in the Mexican Pacific, establishment of closed seasons, and special protection for shark species considered at risk (Castillo-Géniz, Reference Castillo-Géniz1990). However, there is insufficient information available to include R. longurio in the IUCN (International Union for the Conservation of Nature) list of endangered species, since this species is classified as ‘Data Deficient’ at present (Smith et al., Reference Smith, Márquez-Farias and Pérez-Jiménez2009).

Diet analysis is one aspect of elasmobranch management that provides biological information that can help determine the interactions between species and their environment. The food types that comprise the diet can be determined directly from stomach content studies, and the amount, frequency and biomass of prey ingested by the consumer at different times of year (Escobar-Sanchez et al., Reference Escobar-Sánchez, Galván-Magaña and Abitia-Cárdenas2010), which can influence the abundance and distribution of sharks, can also be determined with these analyses (Castillo-Géniz, Reference Castillo-Géniz1992).

Only one previous study was carried out on the diet of R. longurio; it was reported that the diet was dominated by fish (Clupeidae, Muraenidae, Triglidae, Sphyraenidae and Ophichthidae), and also included some cephalopods (e.g. Loliolopsis diomedeae) and crustaceans, representing an opportunistic feeding behaviour (Márquez-Farías et al., Reference Márquez-Farías, Corra-Espinosa and Castillo-Géniz2005). This study, however, included a high number of unidentified fish, and no information was given on possible differences in prey consumed by sharks of different sex and maturity stages.

It has been reported that R. longurio segregates by sex and size in the Gulf of California (Castillo-Géniz, Reference Castillo-Géniz1990), which could result in different prey being consumed by sharks of different sex and maturity stages. Differences in the diet of these different groups could be indicative of a disparate use of resources in different habitats (epipelagic, mesopelagic or bathypelagic), and could help detect feeding areas in the Mexican Pacific.

In this context, this study aimed to: (1) identify the diet of R. longurio from stomach content analysis; and (2) to detect possible intraspecific (sex and/or size) differences in diet between fishing periods, allowing us to determine the trophic relationships of this predator in the food chain of the Gulf of California, and provide basic biological information about an important shark species for Mexican artisanal fisheries.

MATERIALS AND METHODS

Sharks were sampled monthly from landings in the Mazatlan area (23°130′N 160°24′38′′W; Figure 1). Rhizoprionodon longurio was sampled during two fishing periods: December 2000–February 2001 (period I), and October 2003–March 2004 (period II). Each shark was identified, the total body length in cm (TL) was measured, and sex was determined. Stomachs were removed and kept frozen (−20°C) until further analysis at the fish laboratory at the Centro Interdisciplinario de Ciencias Marinas (CICIMAR) in La Paz, Baja California Sur.

Fig. 1. Map showing the location of the study area. The hatched area indicates where the fishing fleet operates. It ranges from the coastline to 20 nautical miles seaward.

In the laboratory, stomachs were thawed and the percentage stomach fullness was determined according to Stillwell & Kohler (Reference Stillwell and Kohler1982), where 0 = empty, 1 = 1–25% fullness, 2 = 26–50% fullness, 3 = 51–75% fullness, and 4 = 76–100% fullness. Four digestion states were identified according to Galván-Magaña (Reference Galván-Magaña1988); prey items were identified to the lowest possible taxonomic level, and different identification keys were used for each digestion state.

Digestion state 1 included recently consumed items; keys by Allen & Robertson (Reference Allen and Robertson1994) and Fischer et al. (Reference Fischer, Krupp, Schneider, Sommer, Carpenter and Niem1995) were used for prey identification. Digestion state 2 included food items with little to no skin remaining, but still containing muscle; digestion state 3 included fish skeletons. For digestion states 2 and 3, we used taxonomic keys based on vertebrae characteristics, such as number of vertebrae, position, and form (Clothier, Reference Clothier1950). We also compared diet items with complete skeletons of organisms captured in the area. Digestion state 4 was characterized by hard structures such as fish otoliths, crustacean remains, and cephalopod beaks; the keys by Brusca (Reference Brusca1980), Wolff (Reference Wolff1984), and Clarke (Reference Clarke1986) were used for identification.

Once the stomach contents were identified, we determined whether the number of stomachs analysed was adequate to represent the trophic spectrum of R. longurio. Cumulative prey curves (Ferry & Cailliet, Reference Ferry, Cailliet, MacKinlay and Shearer1996) were created with the EstimateS program (Colwell, Reference Colwell2006). The coefficient of variation was calculated as an indicator of diet variability. For this study, if the coefficient of variation was below 0.05 the trophic spectrum was considered to be adequately represented (Steel & Torrie, Reference Steel and Torrie1992). Diversity was also plotted vs the number of stomachs analysed.

The index of relative importance (IRI) was calculated with the formula IRI = (%N + %W) × (%F), where %N is the number and %W is the wet weight of each food item, expressed as the percentage of the total values of these variables found for all prey items in the stomach contents, and %F is the percentage frequency of occurrence of each food item (presence–absence) in all stomachs that contained food, as described by Pinkas et al. (Reference Pinkas, Oliphant and Iverson1971), and subsequently modified as a percentage by Cortés (Reference Cortés1997). To detect intraspecific variation, the data were sorted by sex and maturity stage (83 cm of TL for females and 93 cm of TL for males; Castillo-Géniz, Reference Castillo-Géniz1990) during each fishing period.

An analysis of similarity was done to evaluate the differences within and between each category (sex, maturity stage and fishing period), using permutation-randomization methods (1000 permutations) in the similarity matrix (ANOSIM, PRIMER 6 v.6.1.6). The global rank dissimilarity R (0 ≤ R ≤ 1) is a useful comparative measure of degree of separation (it uses Bray–Curtis as a measure of similarity). When R is near zero, Ho cannot be rejected; i.e. there is no separation between groups. The ANOSIM values between 0.2 and 1 indicate that the null hypothesis can be rejected, and organisms probably do not have the exact same diet (Clarke & Warwick, Reference Clarke and Warwick2001). The P value tests the significance of the R value. Essentially the samples are randomly assigned to groups 1000 times, and R is calculated for each permutation. The observed value of R is then compared against the random distribution to determine if it is significantly different from that which could occur at random. If the value of R is significant, we can conclude that there is evidence that the samples within groups are more similar than would be expected by random chance (Clarke & Warwick, Reference Clarke and Warwick2001).

The Shannon–Wiener diversity index, based on the abundance of all prey items, was used to calculate diversity (Pielou, Reference Pielou1975). To evaluate the diet breadth of R. longurio we used Levin's standardized index, ‘Bi’ (Krebs, Reference Krebs1999), which ranges from 0 to 1, with low values (<0.6) indicating a diet dominated by few prey items (specialist predator), and higher values (>0.6) indicating a generalist predator (Labropoulou & Eleftheriou, Reference Labropoulou and Eleftheriou1997). We also calculated the trophic position (TP) based on stomach contents, with the equation proposed by Christensen & Pauly (Reference Christensen and Pauly1992), then calculated the mean and standard deviation (SD) to represent the variability of those individual values as:

$$TP = 1 + \lpar \sum\limits_{i=1}^n {DC_{\,ji} } \rpar \lpar TP_i \rpar$$

where DC ji is the diet composition in weight, in terms of prey proportion (i) in the predator's diet (j), TP is the trophic position of the prey species (i) and n is the number of prey groups in the diet.

The TP for fish prey species were obtained from FishBase (Froese & Pauly, Reference Froese, Pauly, Lozán, Rachor, Sündermann and von Westernhagen2003), and those for cephalopods and crustaceans were obtained from Cortés (Reference Cortés1999).

RESULTS

A total of 98 organisms were sampled, ranging from 47 to 170 cm TL, with a mean size of 92.1 cm (22.4 SD). Females measured 61 to 170 cm TL with a mean size of 96.2 cm (22.7 SD); whereas males ranged from 47 to 160 cm (TL), with a mean size of 88.7 cm (SD = 21.6). Of the total Rhizoprionodon longurio samples (40 during fishing period I and 58 during fishing period II), 63 stomachs (64%) contained food and 35 (36%) were empty. In both periods, the largest number of samples was obtained in February (24 with food, 15 empty) and December (15 with food, 7 empty).

Fifty-five per cent of stomachs were in stomach-fullness category 1; 28% were in category 2; 6% were in category 3; and 10% were in category 4 (Figure 2A). Seven prey items were in digestion state 1; 21 prey items were in state 2; 39 prey items were in state 3, and 44 prey items were in state 4 (Figure 2B). In general, the prey species accumulation curve showed that a sufficient number of stomachs was analysed to adequately characterize the diet of R. longurio (Figure 3). The coefficient of variation (CV) in all categories for both fishing periods was <0.05 (Table 1).

Fig. 2. Precentage of fullness (A) and digestion level (B) observed in the stomachs of Rhizoprionodon longurio in the Mexican Pacific.

Fig. 3. Cumulative curve of prey species for Rhizoprionodon longurio caputured off Mazatlan, Mexico (black line, Shannon diversity with SD, grey line, coeffcient of variation).

Table 1. Summary description of Rhizoprionodon longurio for stomach contents analysis (R. longurio females length-classes: juvenile (J) <83 cm total length (TL); adult (A) ≥83 cm TL; R. longurio males length-classes: J < 93 cm TL; A ≥ 93 cm TL), CV, coefficient of variation, SWC, stomachs with content.

The trophic spectrum was composed of four cephalopod species belonging to four families, three crustacean species from three families, and 13 fish species from ten families. According to the index of relative importance (%IRI), Echiophis brunneus (Castro-Aguirre & Suárez de los Cobos, 1983) (14.4%), Opisthopterus dovii (Günther, 1868) (12.2%), Scomber japonicus (Houttuyn, 1782) (9.6%) and Achirus mazatlanus (Steindachner, 1869) (7.1%) were the most important components in the diet (Table 2).

Table 2. Summary of food categories in stomachs of Rhizoprionodon longurio captured off Mazatlan, Mexico, expressed as percentages by number (%N), weight (%W), frequency of occurrence (%F) and the index of relative importance (IRI).

The ANOSIM test indicated that diet composition was similar between male and female juveniles (R = 0.04, P = 0.01), and between male and female adults (R = 0.01, P = 0.01). These categories were therefore combined to compare the diet similarity between adults and juveniles. The ANOSIM showed high similarity between adults and juveniles (R = 0.02, P = 0.02), and differences between the two fishing periods (R = 0.23, P = 0.01; Figure 4).

Fig. 4. Variation in the index of relative importance (IRI) between sex and maturity stage in each fishing period in Rhizoprionodon longurio captured off Mazatlan, Mexico.

Diversity values (H′) of juvenile males were lower during fishing period I and increased during fishing period II, other shark categories had high H′ values during both fishing periods. Diet breadth values (Bi) were >0.6 for all shark categories during fishing period I, while during fishing period II, adult females and juvenile males had Bi values <0.6. Adult females had a lower trophic position (TP) during fishing period I, which increased during fishing period II; the other categories showed similar TP values during both fishing periods (Table 3).

Table 3. Diversity index values (H′), diet breadth values (Bi) and trophic position (TP) of Rhizoprionodon longurio captured off Mazatlan, Mexico (x, no data; J, juvenile; A, adult; *, only one piece of data).

DISCUSSION

The minimum size (47 cm TL) of Rhizoprionodon longurio recorded in this study was similar to the size at birth, which is reported to be between 30 and 37 cm TL (Compagno, Reference Compagno1984; Bizzarro et al., Reference Bizzarro, Smith, Jones and Cailliet2000; Márquez-Farias et al., Reference Márquez-Farías, Corra-Espinosa and Castillo-Géniz2005). We found pregnant females, which have been previously reported for the Central Mexican Pacific (Nayarit coast) and upper Gulf of California (Pérez-Jiménez et al., Reference Pérez-Jiménez, Sosa-Nishizaki, Furlong-Estrada, Corro-Espinosa, Venegas-Herrera and Barragán-Cuencas2005). Therefore, the Mazatlan coast seems to be an important pupping area, similarly to the northern Gulf of California and Sonora coast, which also have been considered important pupping areas for the Mexican Pacific population of R. longurio (Bizzarro et al., Reference Bizzarro, Smith, Jones and Cailliet2000).

The average size of sharks caught in this study corresponded to adult organisms (females: 96.2 cm TL, males: 88.7 cm TL), while juveniles and adults dominated the catches in Sinaloa (Márquez-Farias et al., Reference Márquez-Farías, Corra-Espinosa and Castillo-Géniz2005). Some organisms had maximum sizes of 170 cm (TL), similar to those reported for Peru and Colombia (Franke & Acero, Reference Franke and Acero1991).

Castillo-Géniz (Reference Castillo-Géniz1990) and Márquez-Farias et al. (Reference Márquez-Farías, Corra-Espinosa and Castillo-Géniz2005) reported that trends in R. longurio landings from Sinaloa and the Gulf of California, Mexico indicate marked seasonal movement patterns, with R. longurio being a primary component of artisanal elasmobranch fisheries during winter and spring (Kato & Hernandez, 1967; Márquez-Farias et al., Reference Márquez-Farías, Corra-Espinosa and Castillo-Géniz2005). Despite the low number of organisms sampled in this study (N = 98), sharks were caught in December and February (winter) during both fishing periods, which coincides with that reported by these authors.

The presence of empty stomachs (35 of 98 stomachs), and the high number of stomachs included in stomach fullness category 1 (<25% full) may be related to two factors: (1) the type of fishing gear used; and (2) prey digestion state. In Mazatlan, R. longurio is caught using gill-nets and longlines; these two gear types cause high stress in shark species at the time of capture, resulting in regurgitation of stomach contents, which may explain the high number of empty stomachs. However, although this behaviour has been observed in other species (e.g. Sphyrna lewini, Torres-Rojas et al., Reference Torres-Rojas, Hernández-Herrera, Galván-Magaña and Alatorre-Ramírez2009), the occurrence of different categories of stomach fullness leads us to take into consideration the digestion state of prey species.

It has been reported that some shark species do not feed again until they have digested the last prey they ingested; this has been seen in Negaprion brevirostris (Poey, 1868), Squalus acanthias (Linnaeus, 1758) and Carcharhinus plumbeus (Nardo, 1827) (Jones & Geen, Reference Jones and Geen1977; Medved et al., Reference Medved, Stillwell and Casey1988; Cortés & Gruber, Reference Cortés and Gruber1990). We found that cephalopods were mostly at an advanced level of digestion, which is explained by the fact that the soft tissue of squid has been estimated to pass through the digestive tract over a period of 5–10 h (Olson & Boggs, Reference Olson and Boggs1986).

Tricas (Reference Tricas1979) made prey digestion tests in Prionace glauca (Linnaeus, 1758), and he observed that after 24 h of consuming a fish, only vertebrae, otoliths and small sections of muscle remained. Moreover, Preti et al. (Reference Preti, Smith and Ramon2001) classified the digestion states of prey species of Alopias vulpinus (Bonnaterra, 1788), finding that prey species were in an advanced digestion state due to the effective time of the fishing haul, which lasted more than 10 h.

In this study, prey were at intermediate or advanced digestion states. Considering that stomachs were collected at dawn, once the artisanal boats picked up the gear left overnight at sea (about 10 h) (Torres Rojas et al., Reference Torres-Rojas, Hernández-Herrera, Galván-Magaña and Alatorre-Ramírez2009), there should have been sufficient time for the gastric juices of the shark stomachs to act. Therefore it can be inferred that prey in digestion states 3 and 4 were consumed by R. longurio at least one day before the sharks were captured, demonstrating that this shark has a high feeding activity at a certain time of day (probably overnight).

Fish were the most important prey in terms of abundance and richness, followed by cephalopods and crustaceans. Castillo-Géniz (Reference Castillo-Géniz1990) and Márquez-Farías et al. (Reference Márquez-Farías, Corra-Espinosa and Castillo-Géniz2005) mentioned that the diet of this shark species is dominated by teleosts and includes some cephalopods and crustaceans. It has also been observed that another species of the same genus (Rhizoprionodon taylori Ogilby, 1915) in Australia has a diet consisting mainly of fish (Salini et al., Reference Salini, Brewer and Blaber1998).

The fish consumed by R. longurio were benthic (e.g. Echiophis brunneus) and coastal pelagic species (e.g. Opisthopterus dovii) (Table 2), implying that R. longurio probably makes vertical migrations in the water column. It has been observed that R. longurio can feed on benthic prey, such as members of the Ophichthidae family, as well as on pelagic prey belonging to the Carangidae family over sandy bottoms (less than 27 m depth) in the Mazatlan area (Manjarrez-Acosta et al., Reference Manjarrez-Acosta, Juárez Rentería, Rodríguez Espinoza, Díaz Duran, Lizárraga Humaran and Vega Merecer1983; Castillo-Géniz, Reference Castillo-Géniz1992). It should be noted that we found sand in some stomachs, which gives support to the finding that R. longurio feed on benthic prey.

Other species from the same genus such as R. taylori also feed on pelagic fish of the Clupeidae, Teraponidae and Engraulidae families (Salini et al., Reference Salini, Brewer and Blaber1998; Simpfendorfer, Reference Simpfendorfer1998). We can conclude that R. longurio has a preference for benthic habitats, where it consumes fish such as E. brunneus, but can also migrate to the pelagic zone and consume pelagic prey, such as O. dovii.

There were no differences in the diet between sexes and sizes; however, the importance of prey (%IRI) varied in the diet. During fishing period II (Figure 3), E. brunneus and Decapterus spp. were found in all adults, but adult females consumed a higher amount of the benthic species E. brunneus (Froese & Pauly, 2011), while males consumed a higher amount of the epipelagic fish Decapterus spp. (which has a depth range of 30–70 m; Froese & Pauly, 2011). Juvenile male sharks consumed mostly the benthic species Achirus mazatlanus (which has a depth range of 1–20 m; Froese & Pauly, 2011), while juvenile females consumed mostly the epipelagic species O. dovii (which has a depth range of 0–50 m; Froese & Pauly, 2011). These results coincide with the report of segregation between sexes and sizes in the area (Castillo-Géniz, Reference Castillo-Géniz1990).

Previous studies have reported changes in diet depending on sex and maturity stage (Klimley, Reference Klimley1983; Galván-Magaña et al., Reference Galván-Magaña, Nienhuis and Klimley1989). Lowe et al. (Reference Lowe, Wetherbee, Crow and Tester1996) noted a change in diet with growth in Galeocerdo cuvier (Péron & Lesueur, 1822) due to several factors: (a) larger sharks may feed on large prey, because they have access to different habitats; (b) sharks at different stages of development occupy different areas and are segregated by size and sex; and (c) as shark size increases, the prey capture efficiency increases, as the senses are fully developed, and sharks are able to capture larger and faster prey.

Although we did not find significant differences in diet composition (ANOSIM), the importance of prey species from different habitats differed among sexes and sizes, which could indicate dietary changes based on maturity stage, with adult females and juvenile males feeding in the benthic zone (higher consumption of E. brunneus and Achirus mazatlanus respectively), and adult males and juvenile females feeding in epipelagic areas (Decapterus spp. and O. dovii, respectively).

The differences found in the feeding habits of R. longurio between fishing periods are probably associated with prey–predator relationships (Wootton, Reference Wootton1990; Abrams, Reference Abrams2000). In this study R. longurio fed mainly on highly migratory prey (e.g. Opisthopterus dovii, Scomber japonicus). Simpfendorfer et al. (Reference Simpfendorfer, Goodreid and McAuley2001) reported that the diet of tiger sharks (Galeocerdo cuvier) is associated with the spatial distribution of their prey. Results obtained in this study indicate that differences found could be attributed to variations in the population dynamics of prey, keeping in mind that the seasonal relative abundance of prey is determined by competition, predation, reproduction and environmental variables (Krebs, Reference Krebs1985; Abrams, Reference Abrams2000).

Temporal changes in the diet of different shark species have been documented in different parts of the world, and have been attributed to feeding behaviour (Stillwell & Kohler, Reference Stillwell and Kohler1982; Cortés, Reference Cortés1997; Torres-Rojas et al., Reference Torres-Rojas, Hernández-Herrera, Galván-Magaña and Alatorre-Ramírez2009). In this study, some categories of R. longurio behaved as specialists, according to Levin's index (adult females and juvenile males during fishing period II). However, this specialist behaviour was not seen during both fishing periods; during fishing period II an opportunistic behaviour was evident.

The specialist behaviour of R. longurio could be due to this shark feeding on species that form large schools (e.g. O. dovii), which results in large amounts of this species being found in the shark stomachs, and a low value of Levin's index. However, high diversity values were observed for all shark categories, even the ones with a specialist behaviour (Table 3), indicating that sharks consumed different kinds of prey during both fishing periods. The feeding behaviour of R. longurio has been previously classified as opportunistic (Márquez-Farias et al., Reference Márquez-Farías, Corra-Espinosa and Castillo-Géniz2005). We compared two indices (Levin's and Shannon's), which indicated that R. longurio is an opportunistic predator, as was reported by Márquez-Farias et al. (Reference Márquez-Farías, Corra-Espinosa and Castillo-Géniz2005).

Most sharks are apex predators that occupy tertiary trophic positions (TP) (Cortés, Reference Cortés1999). The trophic positions estimated in this study (Table 3) agree well with values reported by Cortés (Reference Cortés1999) for R. longurio (TP = 4.2), so this shark may be considered a tertiary carnivore. One of the limitations of stomach content analysis is that it only represents the last meal, and often small prey species from low trophic positions are not detected. In this study, however, we found similar trophic positions to those reported by other authors.

We observed higher TP values for females than males during fishing period II (Table 3), due to females having consumed prey at higher trophic positions during this period. Females consumed a higher biomass of E. brunneus and O. dovii, which have a TP of 4.2 (Froese & Pauly, 2011). Males consumed prey at lower trophic levels, such as Achirus mazatlanus (TP = 3.2; Froese & Pauly, 2011) and Decapterus spp. (TP = 3.4; Froese & Pauly, 2011), which resulted in the trophic differences observed between the two sexes. The TP obtained for R. longurio was high (>4). Pauly (Reference Pauly1998) suggested that the high trophic positions of sharks mean that the overall yield from fisheries should be low and not sustainable at high exploitation levels. Therefore, recent attempts to regulate fisheries in Central America should greatly improve the conservation of R. longurio.

The preference of R. longurio for prey with coastal distributions, along with high exploitation of this species by artisanal fisheries, could result in an imbalance of the ecosystem, as has happened in the Mediterranean Sea, where sharks in coastal areas have decreased (Ferretti et al., Reference Ferretti, Myers, Serena and Lotze2008), contrary to what has happened with species of oceanic habitats (e.g. Sphyrna zygaena). The decline of R. longurio could induce increases in midlevel consumers, shifts in species interactions, and trophic cascades (Estes et al., 1998; Pace et al., Reference Pace, Cole, Carpenter and Kitchell1999; Worm & Myers, Reference Worm and Myers2003; Frank et al., Reference Frank, Petrie, Choi and Leggett2005), because predators with high TP such as R. longurio can play an important role in structuring communities by controlling prey populations and preventing ecological dominance (Paine, Reference Paine1984; Heithaus et al., Reference Heithaus, Frid, Wirsing and Worm2008).

The loss of a predator such as R. longurio could cause an imbalance in the Mexican Pacific, as has been seen for other shark species in the Gulf of Mexico (Baum & Myers, Reference Baum and Myers2004; Shepherd & Myers, Reference Shepherd and Myers2005), in the coastal north-western Atlantic and possibly the Caribbean (Bascompte et al., Reference Bascompte, Melian and Sala2005; Myers et al., Reference Myers, Baum, Shepherd, Powers and Peterson2007).

This study provides information of the prey consumed by the Pacific sharpnose shark, the habitat where it consumes its prey, and the important role that it plays in the area of Mazatlan, Mexico; this information could provide the basis for resource conservation measures.

ACKNOWLEDGEMENT

We thank Laura Sampson for editing the English version of this manuscript.

FINANCIAL SUPPORT

The authors thank the following organizations: Programa de Becas Posdoctorales en la UNAM, Instituto de Ciencias del Mar y Limnologia (ICMyL), Universidad Nacional Autonoma de Mexico (UNAM), IPN, CONACYT, PIFI, EDI and COFAA-IPN for the academic and financial support.

References

REFERENCES

Abrams, P. (2000) The evolution of predator–prey interactions: theory and evidence. Annual Reviews in Ecology and Systematics 33, 79105.CrossRefGoogle Scholar
Allen, G.R. and Robertson, D.R. (1994) Fishes of the tropical eastern Pacific. Honolulu, HI: University of Hawaii Press.Google Scholar
Bascompte, J., Melian, C.J. and Sala, E. (2005) Interaction strength combinations and the overfishing of a marine food web. Proceedings of the National Academy of Sciences of the United States of America 102, 54435447.CrossRefGoogle ScholarPubMed
Baum, J.K. and Myers, R.A. (2004) Shifting baselines and the decline of pelagic sharks in the Gulf of Mexico. Ecology Letters 7, 135145.CrossRefGoogle Scholar
Bizzarro, J.J., Smith, W.D., Jones, E.J. and Cailliet, G.M. (2000) The artisanal elasmobranch fishery of Baja California Norte (Gulf of California, México). In American Elasmobranch Society (eds) 80th Annual Meeting of the American Society of Ichthyologists and Herpetologists & 16th Annual Meeting of the American Elasmobranch Society. University of Florida Museum of Natural History: American Elosmobranch Society, pp. 14–20.Google Scholar
Brusca, R.C. (1980) Common intertidal invertebrates of the Gulf of California. Tucson, AZ: University of Arizona Press.Google Scholar
Castillo-Géniz, J.L. (1990) Contribución al conocimiento de la biología y pesquería del cazón bironche, Rhizoprionodon longurio, (Jordan y Gilbert, 1882) (Elasmobranchii, Carcharhinidae), del sur de Sinaloa, México. BSc thesis, Universidad Nacional Autónoma de México, México.Google Scholar
Castillo-Géniz, J.L. (1992) Diagnóstico de la pesquería del tiburón en México. Instituto Nacional de la Pesca, Secretaria de Pesca, México, 76 pp.Google Scholar
Christensen, V. and Pauly, D. (1992) ECOPATH II—a software for balancing steady-state ecosystem models and calculating network characteristics. Ecology Modelling 61, 169185.CrossRefGoogle Scholar
Clarke, K.R. and Warwick, R.M. (2001) Changes in marine communities: an approach to statistical analysis and interpretation. 2nd edition. Plymouth: PRIMER-E Ltd.Google Scholar
Clarke, M.R. (1986) A handbook for the identification of cephalopod beaks. Oxford: Clarendon Press.Google Scholar
Clothier, C.R. (1950) A key to some Southern California fishes based on vertebral characters. Fishery Bulletin 79, 183.Google Scholar
Colwell, R.K. (2006) EstimateS: Statistical estimation of species richness and shared species from samples. Version 8. Available at: www.purl.oclc.org/estimates (accessed 1 July 2013).Google Scholar
Compagno, L.J.V. (1984) Sharks of the world: an annotated and illustrated catalogue of the shark species known to date. Part 2. Carcharhiniformes. In FAO Species Catalogue. Volume 4, FAO Fisheries Synopsis No. 125. Rome: FAO, pp. 251655.Google Scholar
Compagno, L.J.V. (1990) Systematics and body form. In Hamlett, W.C. (ed.) Sharks, skates and rays, the biology of elasmobranch fishes. Baltimore, MD: The Johns Hopkins University Press, pp. 142.Google Scholar
Cortés, E. (1997) A critical review of methods of studying fish feeding based on analysis of stomach contents: application to elasmobranch fishes. Canadian Journal of Fisheries and Aquatic Sciences 54, 726738.CrossRefGoogle Scholar
Cortés, E. (1999) Standardized diet compositions and trophic levels of sharks. Journal of Marine Science 56, 707717.Google Scholar
Cortés, E. and Gruber, S.H. (1990) Diet, feeding habits and estimates of daily ration of young lemon sharks, Negaprion brevirostris (Poey). Copeia 1990, 204218.CrossRefGoogle Scholar
Escobar-Sánchez, O., Galván-Magaña, F. and Abitia-Cárdenas, L.A. (2010) Trophic level and isotopic composition of δ13C and δ15N of Pacific angel shark, Squatina californica (Ayres, 1859), in the southern Gulf of California, México. Journal of Fisheries and Aquatic Science 6, 141150.CrossRefGoogle Scholar
Ferretti, F., Myers, R.A., Serena, F. and Lotze, H.K. (2008) Loss of large predatory sharks from the Mediterranean Sea. Conservation Biology 22, 952964.CrossRefGoogle ScholarPubMed
Ferry, L.A. and Cailliet, G.M. (1996) Sample size and data analysis: are we characterizing and comparing diet properly? In MacKinlay, D. and Shearer, K. (eds) Feeding ecology and nutrition in fish: Proceedings of the Symposium on the Feeding Ecology and Nutrition in Fish, International Congress on the Biology of Fishes. San Francisco, CA: American Fisheries Society, pp. 7180.Google Scholar
Fischer, W., Krupp, F., Schneider, W., Sommer, C., Carpenter, K.E. and Niem, V.H. (1995) Guía FAO para la identificación de especies para los fines de la pesca. Pacífico centro-oriental. Volumen I: Plantas e invertebrados. Rome: FAO, pp. 1646.Google Scholar
Frank, K.T., Petrie, B., Choi, J.S. and Leggett, W.C. (2005) Trophic cascades in a formerly cod-dominated ecosystem. Science 308, 16211623.CrossRefGoogle Scholar
Franke, R. and Acero, A.P. (1991) Registros nuevos y comentarios adicionales sobre peces cartilaginosos del Parque nacional Natural Gorgona (Pacifico Colombiano). Trianea 4, 527540.Google Scholar
Froese, R. and Pauly, D. (2003) Dynamics of overfishing. In Lozán, J.L., Rachor, E., Sündermann, J. and von Westernhagen, H. (eds) Warnsignale aus Nordsee und Wattenmeer—eine aktuelle Umweltbilanz. Hamburg: GEO, pp. 288295.Google Scholar
Galván-Magaña, F. (1988) Composición y análisis de la dieta del atún aleta amarilla Thunnus albacares en el Pacífico mexicano durante 1984–1985. Tesis de maestría. CICIMAR-IPN, La Paz, México.Google Scholar
Galván-Magaña, F., Nienhuis, H.J. and Klimley, A.P. (1989) Seasonal abundance and feeding habits of sharks of the lower Gulf of California, México. California Fish and Game 75, 7484.Google Scholar
Heithaus, M.R., Frid, A., Wirsing, A.J. and Worm, B. (2008) Predicting ecological consequences of marine top predator declines. Trends in Ecology and Evolution 23, 202210.CrossRefGoogle ScholarPubMed
Jones, B.C. and Geen, G.H. (1977) Food and feeding of spiny dogfish (Squalus acanthias) in British Columbia waters. Journal of the Fisheries Research Board of Canada 34, 20672078.Google Scholar
Kato, S. and Hernández, C. (1967) Shark tagging in the Eastern Pacific Ocean, 1962–1965. In Gilbert, P.W., Mathewson, R.F. and Rall, D.P. (eds) Sharks, skates and rays. Baltimore, MD: The Johns Hopkins University Press, pp. 93109.Google Scholar
Klimley, A.P. (1983) Social organization of schools of the scalloped hammerhead, Sphyrna lewini (Griffith & Smith), in the Gulf of California. PhD thesis. University of California, San Diego, CA, USA.Google Scholar
Krebs, C.J. (1985) Ecología: estudio de la distribución y la abundancia. Haría: D.F. México.Google Scholar
Krebs, C.J. (1999) Ecological methodology. 2nd edition. Menlo Park, CA. Benjamin Cummings, 620 pp.Google Scholar
Labropoulou, M. and Eleftheriou, A. (1997) The foraging ecology of two pairs of congeneric demersal fish species: importance of morphological characteristics in prey selection. Journal of Fish Biology 50, 324340.CrossRefGoogle Scholar
Lowe, C.G., Wetherbee, B.M., Crow, G.L. and Tester, A.L. (1996) Ontogenetic dietary shifts and feeding behaviour of the tiger shark, Galeocerdo cuvier, in Hawaiian waters. Environmental Biology of Fishes 47, 203211.CrossRefGoogle Scholar
Manjarrez-Acosta, C., Juárez Rentería, F., Rodríguez Espinoza, J.P., Díaz Duran, R., Lizárraga Humaran, X. and Vega Merecer, A.E. (1983) Estudio sobre algunos aspectos biológico-pesqueros del tiburón en la zona sur de Sinaloa. BSc thesis. Universidad Autónoma de Sinaloa, Mazatlán, México.Google Scholar
Márquez-Farías, J.F., Corra-Espinosa, D. and Castillo-Géniz, J.L. (2005) Observations on the biology of the Pacific sharpnose shark, Rhizoprionodon longurio (Jordan & Gilbert, 1882), captured in southern Sinaloa, México. Journal of Northwest Atlantic Fisheries Science 35, 107114.CrossRefGoogle Scholar
Medved, R.J., Stillwell, C.E. and Casey, J.J. (1988) The rate of food consumption of young sandbar sharks (Carcharhinus plumbeus) in Chincoteague Bay, Virginia. Copeia 1988, 956963.CrossRefGoogle Scholar
Myers, R.A., Baum, J.K., Shepherd, T., Powers, S.P. and Peterson, C.H. (2007) Cascading effects of the loss of apex predatory sharks from a coastal ocean. Science 315, 18461850.CrossRefGoogle ScholarPubMed
Olson, R.J. and Boggs, C.H. (1986) Apex predation by yellowfin tuna (Thunnus albacares): independent estimates from gastric evacuation and stomach contents, bioenergetics, and cesium concentrations. Canadian Journal of Fisheries and Aquatic Sciences 439, 17601775.CrossRefGoogle Scholar
Pace, M.L., Cole, J.J., Carpenter, S.R. and Kitchell, J.F. (1999) Trophic cascades revealed in diverse ecosystems. Trends in Ecology and Evolution 14, 483488.CrossRefGoogle ScholarPubMed
Paine, R.T. (1984) Ecological determinism in the competition for space. Ecology 65, 13391348.CrossRefGoogle Scholar
Pauly, D. (1998) Tropical fishes: patterns and propensities. Journal of Fish Biology 53, 117.Google Scholar
Pérez-Jiménez, J.C., Sosa-Nishizaki, O., Furlong-Estrada, E., Corro-Espinosa, D., Venegas-Herrera, A. and Barragán-Cuencas, O.V. (2005) Artisanal shark fishery at ‘Tres Marias’ islands and Isabel island in the Central Mexican Pacific. Journal of Northwest Atlantic Fisheries Science 35, 333343.CrossRefGoogle Scholar
Pielou, E.C. (1975) Ecological diversity. New York: John Wiley and Sons.Google Scholar
Pinkas, L., Oliphant, M.S., and Iverson, L.K. (1971) Food habits of albacore, bluefin tuna and bonito in California waters. Fishery Bulletin 152, 1105.Google Scholar
Preti, A., Smith, S.E. and Ramon, D.A. (2001) Feeding habits of the common thresher (Alopias vulpinus) sampled from the California-based drift gill-net fishery, 1998–99. California Cooperative Oceanic Fisheries Investigations Reports 42, 145152.Google Scholar
Salini, J.P., Brewer, D.T. and Blaber, S.J.M. (1998) Dietary studies on the predatory fishes of the Norman River Estuary, with particular reference to penaeid prawns. Estuarine, Coastal and Shelf Science 46, 837847.CrossRefGoogle Scholar
Shepherd, T.D. and Myers, R.A. (2005) Direct and indirect fishery effects on small coastal elasmobranchs in the northern Gulf of Mexico. Ecology Letters 8, 10951104.CrossRefGoogle Scholar
Simpfendorfer, C.A. (1998) Diet of the Australian sharpnose shark, Rhizoprionodon taylori, from northern Queensland. Marine and Freshwater Research 49, 757761.CrossRefGoogle Scholar
Simpfendorfer, C.A., Goodreid, A.B. and McAuley, R.B. (2001) Size, sex and geographic variation in the diet of the tiger shark, Galeocerdo cuvier, from Western Australian waters. Environmental Biology of Fishes 61, 3746.CrossRefGoogle Scholar
Smith, W.D., Márquez-Farias, J.F. and Pérez-Jiménez, J.C. (2009) Rhizoprionodon longurio. IUCN Red List of Threatened Species. (Version 2012.2), available at: www.iucnredlist.org (accessed 1 July 2013).Google Scholar
Steel, R.G.D. and Torrie, J.H. (1992) Bioestadística. Principios y procedimientos. Mexico City, Mexico: Editorial Graf América.Google Scholar
Stillwell, C.E. and Kohler, N.E. (1982) Food, feeding habits, and estimates of daily ration of the shortfin mako (Isurus oxyrinchus) in the northern Atlantic. Canadian Journal of Fisheries and Aquatic Sciences 39, 407414.CrossRefGoogle Scholar
Torres-Rojas, Y.E., Hernández-Herrera, A., Galván-Magaña, F. and Alatorre-Ramírez, V.G. (2009) Stomach content analysis of juvenile scalloped hammerhead shark Sphyrna lewini captured off the coast of Mazatlán, México. Aquatic Ecology 44, 301308.CrossRefGoogle Scholar
Tricas, T.C. (1979) Relationships of the blue shark Prionace glauca, and its prey species near Santa Catalina Island, California. Fishery Bulletin 77, 175182.Google Scholar
Wolff, G.A. (1984) Identification and estimation of size from the beaks of 18 species of cephalopods from the Pacific Ocean. NOAA Technical Report 17. Silver Spring, MD: NMFS.Google Scholar
Wootton, R.J. (1990) Ecology of teleost fishes. London: Chapman & Hall.Google Scholar
Worm, B. and Myers, R.A. (2003) Meta-analysis of cod–shrimp interactions reveals top-down control in oceanic food webs. Ecology 84, 162173.CrossRefGoogle Scholar
Figure 0

Fig. 1. Map showing the location of the study area. The hatched area indicates where the fishing fleet operates. It ranges from the coastline to 20 nautical miles seaward.

Figure 1

Fig. 2. Precentage of fullness (A) and digestion level (B) observed in the stomachs of Rhizoprionodon longurio in the Mexican Pacific.

Figure 2

Fig. 3. Cumulative curve of prey species for Rhizoprionodon longurio caputured off Mazatlan, Mexico (black line, Shannon diversity with SD, grey line, coeffcient of variation).

Figure 3

Table 1. Summary description of Rhizoprionodon longurio for stomach contents analysis (R. longurio females length-classes: juvenile (J) <83 cm total length (TL); adult (A) ≥83 cm TL; R. longurio males length-classes: J < 93 cm TL; A ≥ 93 cm TL), CV, coefficient of variation, SWC, stomachs with content.

Figure 4

Table 2. Summary of food categories in stomachs of Rhizoprionodon longurio captured off Mazatlan, Mexico, expressed as percentages by number (%N), weight (%W), frequency of occurrence (%F) and the index of relative importance (IRI).

Figure 5

Fig. 4. Variation in the index of relative importance (IRI) between sex and maturity stage in each fishing period in Rhizoprionodon longurio captured off Mazatlan, Mexico.

Figure 6

Table 3. Diversity index values (H′), diet breadth values (Bi) and trophic position (TP) of Rhizoprionodon longurio captured off Mazatlan, Mexico (x, no data; J, juvenile; A, adult; *, only one piece of data).