Research Article |
Corresponding author: Vinícius Albano Araújo ( vialbano@gmail.com ) Academic editor: Ana Maria Leal-Zanchet
© 2021 Raísa da Silva Costa Rêgo, Eric Azevedo Cazetta, Caio Henrique Gonçalves Cutrim, Amanda Soares Miranda, Ana Paula Albano Araújo, Vinícius Albano Araújo.
This is an open access article distributed under the terms of the Creative Commons Attribution License (CC BY 4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Citation:
da Silva Costa Rêgo R, Cazetta EA, Cutrim CHG, Miranda AS, Araújo APA, Araújo VA (2021) Strandings of sea turtles on beaches around the oil capital in Brazil. Neotropical Biology and Conservation 16(4): 521-538. https://doi.org/10.3897/neotropical.16.e68662
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The south-western region of the Atlantic Ocean has feeding and nesting areas for the five species of sea turtles registered in Brazil, which are in different degrees of extinction threat, mainly due to anthropogenic factors. Fishing and the ingestion of solid waste, were identified as causing stranding and the mortality of sea turtles. In this work, data from the monitoring of beaches in the Municipalities of Macaé and Rio das Ostras, important oil zone in Brazil, in the north-central region of the State of Rio de Janeiro, were used in order to analyse the effects of seasonality on the sea turtle stranding. The monitoring was carried out daily from September 2017 to June 2019, in a study area covering 23.8 km long beach. Stranding data were obtained from active (n = 126) and passive (n = 66) monitoring of beaches and included the records of Chelonia mydas (n = 151), Caretta caretta (n = 23), Lepidochelys olivacea (n = 14), Dermochelys coriacea (n = 2) and Eretmochelys imbricata (n = 1). The largest stranding record occurred in the summer (n = 61) and spring (n = 60), a period compatible with the reproductive season of the species. The results obtained in this study emphasise the importance of the analysis of strandings of sea turtles, which provide relevant data on the biology of the group, the intra and interspecific dynamics and the state of conservation of these animals.
Anthropogenic impact, Campos Basin, conservation, endangered species, green turtle, south-western Atlantic
The current fauna of sea turtle corresponds to seven species, of which five species are present on the Brazilian coast (
Sea turtles have a long-life cycle and can take 15 to 40 years to reach sexual maturity (
Analysis of sea turtle stranding data is an important source of information on species biology, as spawning areas and feeding sites, in addition to providing subsidies for implementing sustainable practices and conservation plans (
The beach monitoring data from this study were used on an extension of the north-central coast of the Rio de Janeiro State, in order to: (i) analyse the effects of seasonality on the number of species and abundance of stranded sea turtles; (ii) evaluate the sex ratio and the developmental stage of stranded sea turtles; (iii) analyse whether the size of the beaches interferes with the number of stranding and (iv) to evaluate whether there is a relationship between anthropogenic factors, such as fishing activities and abundance of stranded sea turtles.
The study was developed by analysing the sea turtle strandings on the beaches located in the Municipality of Rio das Ostras (22°31'37"S, 41°56'42"W) in the Lagos region and in the Municipality of Macaé (22°22'15"S, 41°47'13"W) in the northern region of the State of Rio de Janeiro, Brazil (Fig.
Geographic location map of the study area showing the Municipalities of Rio das Ostras and Macaé on the coast of the State of Rio de Janeiro, Brazil. The numbers 1 to 21 refer to the literature cited in Table
The following beaches were monitored: Cemitério, Centro, Itapebussus, Joana, Mar do Norte, Tartaruga and Virgem (Rio das Ostras) and Barra de Macaé, Campista, Cavaleiros, Farol, Forte, Imbetiba, Imboassica and Macaé (Macaé), spanning approximately 23.8 km of monitored beaches.
Sea turtle stranding records data were used and made available to the public domain through the Campos Basin and Espírito Santo Beach Monitoring Project (PMP-BC/ES). This project was started by the company Petrobras, as a condition imposed by the Brazilian Institute of the Environment and Renewable Natural Resources (IBAMA-Brazil) to obtain environmental licensing for the production and disposal of oil and natural gas. The data analysed were related to the monitoring of the beaches carried out between September 2017 and June 2019 and were obtained from the SIMBA database (Aquatic Biota Monitoring Information System).
The analysed beaches were monitored daily between 6:00 am and 12:00 am, walking along its length or with the assistance of motorised quadricycles. In addition to active and regular monitoring on the beaches, extensive contact was made to mobilise the passive (or indirect) monitoring method, in which the population informs about the location of stranded marine animals. People call to the free call centre (0800) and the team asks the informant to explain the location of the beach (name of the beach, tourist spot), which animal, the state of the animal. The informant is then instructed on how to retain the animal or carcass and the expected arrival of the team at the site. There is no operational base for receiving animals. All calls are made through the 0800 centre, from where the team travels to the location reported by the informant to answer the call. In both monitoring methods, data related to location, beach, time of monitoring duration and geographical coordinates were recorded.
For each stranded sea turtle, the following were recorded: the state of the animal (alive or dead), carcass conservation status, species identification, based on the morphology of the stranded animals, such as number of plates on the carapace, sex through observation of organs genitals or anatomopathological examination and stage of development (juvenile/adult) according to the measurements of the curvilinear carapace length (CCL). Adults were considered individuals having measurement of curvilinear carapace length (CCL) greater than or equal to (≥) the established values: Dermochelys coriacea ≥ 139 cm (
To determine the influence of fishing activity on stranding and commonly in the death of sea turtles, five categories were used (total evidence, very strong, strong, without evidence and undetermined/not examined) defined by the Tamar project protocol (
Categories referring to the degree of interaction of the organism with fishing according with the protocol proposed by the marine turtle monitoring and conservation programme in Brazil, Projeto Tamar (
Interaction degree | Description | Observed |
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Total evidence | Presence of fishing gear on the animal’s body | n = 8; 4.2% |
Very strong | Animal with amputations and/or beheading after incidental capture | n = 10; 5.2% |
Strong | Animal with good body condition and no other defined cause of death | n = 16; 8.3% |
No evidence | Animal with death not related to fishing, such as predation and diseases | n = 17; 8.8% |
Indeterminate | Analysis made impossible by advanced decomposition | n = 130; 67.7% |
Descriptive analysis was carried out independently to verify the variation in the number of species and in the abundance of stranded turtles (dependent variables) in relation to season (independent variables) using Quasi-Poisson distribution. The seasons were defined as follows: summer (January to March), autumn (April to June), winter (July to September) and spring (October to December). To analyse the effects of beaches, the abundance and number of species data for each season, considering the entire period studied, they were used as repetition in the models. Differences between the means were analysed using the Tukey test (P ≤ 0.05). To analyse the variation in the number of species and abundance of stranded turtles as a function of the length of the beach strip (m), the data was transformed into a log and analysed using Generalised Linear Models (GLM) in software R (
A total of 192 sea turtle strandings was recorded in the Municipalities of Rio das Ostras (n = 104; 54.2%) and Macaé (n = 88; 45.8%) between September 2017 to June 2019. Most stranded sea turtles were dead (n = 182; 94.8%) and the majority part of their records were made through direct monitoring on the beaches (n = 126; 65.6%). The indirect method, carried out by the population, registered 47% of strandings that occurred in the summer, between January and March (n = 31).
Stranding records included green turtles, Chelonia mydas (n = 151; 78.6% of the total), loggerheads, Caretta caretta (n = 23; 12%), olive ridley turtle, Lepidochelys olivacea (n = 14; 7.3%), leatherbacks, Dermochelys coriacea (n = 2; 1%), hawksbill, Eretmochelys imbricata (n = 1; 0.5%) and just one specimen (n = 1; 0.5%) has not been identified due to the high degree of decomposition (Fig.
A. Total number of stranded individuals of the five species of sea turtles in Macaé and Rio das Ostras, north-central coast of the State of Rio de Janeiro, Brazil (2017–2019). B. Total number of individuals stranded in the juvenile and adult stages in each of the five species of sea turtles. CM = Chelonia mydas; CC = Caretta caretta; LO = Lepidochelys olivacea; DC = Dermochelys coriacea; EI = Eretmochelys imbricata; ED = undetermined species.
In C. mydas, 99.3% stranding records were of juvenile individuals (n = 150). The number of stranded juveniles was close to that of adults in C. caretta (n = 11; 47.8%), reduced in L. olivacea (n = 1; 7.1%) and absent in D. coriacea. The only specimen sampled belonging to E. imbricata was a juvenile (Fig.
The abundance and number of species of stranded sea turtles varied between the sampled beaches (Fig.
Average number of species (A) and abundance (B) of sea turtles stranded on the fifteen beaches sampled in the Municipalities of Macaé and Rios das Ostras, Rio de Janeiro, Brazil (2017–2019). Means followed by the same letter do not differ by Tukey’s test (P < 0.05). Macaé beaches: Macaé, Barra de Macaé, Forte, Imbetiba, Farol, Cavaleiros, Campista and Imboassica. Rio das Ostras beaches: Tartaruga, Centro, Cemitério, Joana, Virgem, Mar do Norte and Itapebussus.
The highest stranding record occurred in the summer (n = 61; 31.8%; 30.50 ± 7.78) and in the spring (n = 60; 31.2%; 30.00 ± 2.83) being February (12.00 ± 8.49) and October (12.00 ± 2.83), the months, on average, most sampled. However, there was no significant variation between seasons (abundance: F 3;56 = 0.85; P < 0.47 e and number of species: F 3;56 = 1.60; P = 0.57).
The greatest occurrence of stranding was observed during the rainy season, between the months of October and March (n = 121; 63%) and the most upwelling, between the months of October and April (n = 133; 69.3%). In most records, climatic conditions indicated wind dominance in the northeast (n = 97; 50.5%) throughout the year, mainly in the summer (n = 40; 41.2%; Fig.
In the analysis of the degree of interaction of stranded organisms with fishing, the undetermined/unexamined category was predominant (n = 130; 67.7%). However, 8.3% were classified in the strong category (n = 16) and 5.2% in the very strong category (n = 10; 5.2%). Although less frequent, the category of total evidence, in which fishing gear is present on the animal’s body, represented 4.2% of the records (n = 8) (Table
The five species of sea turtles are found along the west coast of the South Atlantic, during their migrations or in population densities in specific regions, such as feeding areas or spawning sites (
In literature studies, sea turtle stranding records apply stretches with different variations and/or sampling statistics and types of monitoring, which reflect different patterns regarding the number of species and abundance of stranded individuals, also associated with feeding areas and spawning of the group (Table
Data recording of sea turtle stranding on the west coast of the South Atlantic. For each reference, the time (months), the distance covered, the type of sampling (active/passive), the wealth and abundance of individuals observed and the average value of individuals collected per month of sampling are provided. The geographical location of the study area of the works cited is indicated on the map in Figure
Study location | Sampling time (months) | Sampled beach extension (km) | Monitoring type (active/passive) | Species richness and abundance of individuals | Number of stranded individuals / months | References |
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01. Coast of Uruguay | 144 (1999–2010) | 710 | active/passive | 5 - 1107 | 10.64 |
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02. Rio Grande do Sul - Brazil | 12 (1997–1998) | 720 | active | 3 - 92 | 7.66 |
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03. Rio Grande do Sul - Brazil | 118 (1995–2004) | 620 | active | 4 - 994 | 8.42 |
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04. Rio Grande do Sul - Brazil | 39 (2007–2010) | 120 | active | 3 - 640 | 16.41 |
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05. Santa Catarina - Brazil | 10 (2011–2012) | 37.5 | active | 2 - 15 | 1.5 |
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06. Santa Catarina - Brazil | 25 (2015–2017) | - | active | 4 - 503 | 20.12 |
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07. Paraná - Brazil | 37 (2004–2007) | 600 | active | 1 - 80 | 2.16 |
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08. São Paulo - Brazil | 13 (2016–2017) | 30 | active | 1 - 15 | 1.15 |
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09. Rio de Janeiro - Brazil | 132 (1994–2004) | 248 | active/passive | 5 - 57 | 0.43 |
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10. Rio de Janeiro - Brazil | 12 (2009) | 248 | active/passive | 5 - 143 | 11.91 |
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11. Rio de Janeiro - Brazil | 12 (2011) | 71 | active | 5 - 23 | 1.91 | De |
12. Rio de Janeiro - Brazil | 24 (2008–2010) | 290 | active/passive | 5 - 3050 | 127.08 |
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13. Rio de Janeiro - Brazil | 13 (2016–2017) | 985 | active/passive | 5 - 1138 | 87.53 |
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14. Rio de Janeiro - Brazil | 91 (2010–2017) | 1317 | active/passive | 5 - 12162 | 133.64 |
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15. Espírito Santo- Brazil | 72 (2007–2012) | 24 | active | 5 - 1154 | 16.02 |
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16. Bahia - Brazil | 30 (2006–2008) | 270 | active/passive | 4 - 260 | 8.66 |
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17. Bahia - Brazil | 30 (2006–2008) | 220 | active/passive | 4 - 260 | 8.66 |
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18. Paraíba - Brazil | 12 (2002–2003) | 130 | active/passive | 3 - 70 | 5.83 |
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19. Paraíba- Brazil | 12 (2009–2010) | 15 | active/passive | 4 - 124 | 10.33 |
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20. Ceará - Brazil | 23 (2005–2006) | - | active | 5 - 86 | 3.73 |
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21. Ceará-Rio Grande do Norte - Brazil | 36 (2010–2013) | 332.84 | active | 5 - 2658 | 73.83 |
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Stranded sea turtles are commonly found dead at the various points already sampled along the South Atlantic coast (
Most strandings were recorded through active monitoring on the beaches, which shows its efficiency in inventorying stranded fauna data, as well as the rapid transport of dead animals or veterinary care to debilitated organisms (
In the north-central region of the coast of Rio de Janeiro State, there is a phenomenon of upwelling in the estuarine regions that increase the supply of food resources, making it a possible feeding area for the five species of sea turtles registered for Brazil (
The loggerhead turtle, C. caretta, was the second most frequent species in stranding, with a similar number of individuals in the juvenile and adult stages. About 100 km north of the area sampled in this study is located the second largest spawning site of the loggerhead turtle in Brazil (
As found in this study, the species, L. olivacea, E. imbricata and D. coriacea, have been little registered on the Rio de Janeiro coast, a region that is not considered a usual spawning site for any of them. In addition, these species prefer reefs and ocean habitats closer to their nesting areas to forage (
For sea turtles, the measurement of the curvilinear carapace length (CCL) is one of the criteria used to define the stage of specimens’ development. During the juvenile stage, sea turtles do not have sexual dimorphism, based on external characters, which made it impossible to define sex in most individuals. In cases where sexing was possible, the majority were females, as also registered for the coast of Bahia State (
On larger beaches, greater numbers of strandings and species were observed. Most stranded turtles were in an advanced stage of decomposition, which indicates that they could have died days ago and were adrift in the sea. Physical oceanographic events, involving sea currents and wind direction, can determine the locations of strand registration (
The relationship of the greatest stranding number on more extensive beaches may indicate a random effect on the individuals dragging, with greater chances of stranding on more extensive beaches. However, the factors that determine stranding locations involve the effects of wind direction and speed, ocean currents and topographic characteristics of the coastal zone (
Seasonality did not show a significant relationship with the richness and abundance of sea turtle stranding; however, the largest records number occurred in summer and spring, as observed in other coastal regions of Brazil (
Amongst the various anthropogenic activities that directly impact the life cycle and survival of sea turtles, fishing activities and marine debris are identified as one of the main threats (
The north-central coast of the Rio de Janeiro State has intense fishing activity, oil exploration activities that generate impacts with vessels and dredging and large population densities that can contribute to the increase in oceanic debris (