Editorial Type: ARTICLES
 | 
Online Publication Date: 30 Jun 2020

Resting Dynamics and Diel Activity of the Green Turtle (Chelonia mydas) in Rapa Nui, Chile

,
,
,
, and
Article Category: Research Article
Page Range: 124 – 132
DOI: 10.2744/CCB-1374.1
Save
Download PDF

Abstract

Understanding animals' daily activity patterns such as foraging and resting is key to the effective conservation of individuals, populations, and species. Expanding habitat usage by humans today is likely one of the major factors influencing animal habitat use and behavior. Rapa Nui, a remote Chilean island located at the easternmost corner of the Polynesian Triangle, hosts a population of green turtles, Chelonia mydas, that have been monitored by citizen scientists since 2010. Through the collaborative work of divers from the local community and professional scientists, we describe C. mydas daily underwater resting and foraging patterns in Rapa Nui. We identified 15 individuals by monitoring 19 specific resting locations within the Rapa Nui coral reef. A high level of spatial fidelity for specific resting sites was observed in 12 turtles that used the same location for as long as 5 yrs. Moreover, we observed a clear temporal pattern in the daily use of resting habitats, with 79% of resting activity occurring during low tide. In contrast, the daily peak in feeding activity was associated with high tides. Abiotic characteristics (depth and cardinal orientation) of resting sites did not show significant relationships. The information from this study will inform management of the Rapa Nui Multiple Uses Coastal Marine Protected Area to increase the protection of marine turtles residing at this isolated Pacific Island.

Daily fine-scale habitat use by animals is often classified based on their activities, such as foraging, resting, socializing, and reproducing (Campbell and Tobler 1984; Häfker et al. 2017). For many aquatic animals, daily activity patterns are influenced by environmental factors such as food availability, predation risk, tidal movement, and light conditions, among others (Campbell and Tobler 1984; Siegel 2008; Petit et al. 2015). These daily activity patterns (i.e., circadian rhythms) are crucial to maintaining the good health of organisms by maintaining metabolic activities (e.g., metabolites peaks such as magnesium during high energy demand periods) (Dunlap and Loros 2016). For example, disturbing individuals' daily activity patterns might have negative consequences on their fitness and behavior (e.g., delaying feeding time to avoid contact with predators) (Tessmar-Raible et al. 2011; Häfker et al. 2017).

Disproportionate habitat use by humans is likely a significant factor influencing daily animal activities of shallow coastal marine fauna; first, through direct consumptive effects and, second, through indirect non-consumptive predatory effects such as inducing variations in the normal (undisturbed) behavior of the animals (e.g., habitat use of foraging and resting areas) (Pfister and Harrington 1992; Gaymer and Himmelman 2008; Hamann et al. 2010; Terborgh and Estes 2010). This human impact on habitats may be even more detrimental for highly migratory species, such as marine turtles, because daily activities such as foraging and resting might be especially vital for their survival after long migrations in terms of mass gain, reproductive success, and survival (Pfister and Harrington 1992; Dingle and Drake 2007; Sheehy et al. 2011; Rees et al. 2016). As such, determining habitat use of turtles in coastal foraging areas and pinpointing where turtles are most susceptible to human disturbances have been cited as major of research needs (Hays 2008; Hamann et al. 2010; Rees et al. 2016).

Green turtles (Chelonia mydas) mainly feed on seagrass and/or algae in tropical and subtropical habitats; however, they seem to vary their diet depending on the availability of resources and with ontogeny (Bjorndal 1980; Brand-Gardner et al. 1999; Vélez-Rubio et al. 2016). In addition, marine turtles may not graze in random places but instead use grazing plots or specific foraging areas (Brand-Gardner et al. 1999; González and Álvarez-Varas 2016; Christiansen et al. 2017). Those areas provide stable food sources, which supply their nutritional requirements (Kuiper-Linley 1994). Turtle foraging activity has been well studied over the last 3 decades, revealing activity peaks associated with diel times, light hours, moon phase, and tides (Bjorndal 1980; Ogden et al. 1983; Tighe 1981; Christiansen et al. 2017).

Resting is a central part of most organisms' lives for the function of metabolic activities, including food digestion (nutrient absorption), hormone-release modulation, cardiovascular functions, and glucose regulation (Campbell and Tobler 1984; Cauter et al. 2008). As a consequence, a reduction in resting behavior (e.g., by disturbance) may result in negative physiological and behavioral responses (Siegel 2008). In marine turtles, resting has been described based on dive times and underwater movements or steadiness, principally by the use of a variety of bio-telemetry devices and video records (see Hochscheid et al. 2005, 2007; Seminoff et al. 2006; Rice and Balazs 2008; Christiansen et al. 2017). Even though there are a few cases in which observations were made through direct underwater observations (see Von Brandis et al. 2010; Rincon-Díaz et al. 2011; Chassagneux et al. 2013) information concerning to this topic remains scarce.

Direct underwater observations by professional scuba divers have permitted the identification of more than 20 turtles that use small, specific areas of coral reefs as permanent resting sites in the waters surrounding Rapa Nui Island, Chile (also known as Easter Island). Those sites are individually used and can be identified according to features such as the plastron print upon coral structures and the eroded surfaces of small caves produced by the repeated contact with turtle's plastron, flippers, and carapace (C.F.G., pers. obs.). Likewise, a well-recognized turtle foraging site has been described in Hanga Roa Bay (Gaymer et al. 2011; González and Álvarez-Varas 2016), where several green turtles feed daily on green algae (i.e., Ulva sp.).

The first aim of this article is to describe the physical properties of the coral reef sites selected by turtles as resting sites (hereafter referred to as resting sites) as well as turtles' resting behavior in Hanga Roa Bay. Secondly, we describe their daily foraging behavior and its relation to tide cycles in Rapa Nui. Finally, this study provides a framework for managing and protecting turtles and their foraging and resting grounds within the Rapa Nui Multiple Uses Coastal Marine Protected Area. This management framework represents the synthesis and application of information gained from our applied research on one of the most iconic marine reptiles worldwide.

METHODS

Study Site

Rapa Nui is a remote Chilean oceanic island situated along the Salas y Gómez Ridge (Fig. 1) at the easternmost corner of the Polynesian Triangle. The island is located approximately 3700 km from the Chilean coast and represents the southeasternmost distribution of coral reefs and coral reef organisms in the Pacific. Indeed, Rapa Nui presents subtidal zones in which more than 50% of their area is covered by scleractinian (stony) corals of the genera Porites and Pocillopora (Friedlander et al. 2013). The coral reefs at the island can be large, reaching more than 10 m high and 40 m in length; they are largely present along the north and west faces of the island (Hubbard and García 2003).

Figure 1Figure 1Figure 1
Figure 1 Map of Hanga Roa Bay showing the distribution of green turtle resting locations (black circles) and the foraging area (black patch) in Rapa Nui. The size of the circles represents the number of turtle resting sites in each location. All resting locations are included. B2 = buoy 2; B1 = buoy 1; Ms = South Manavai; M = Manavai; Mn = North Manavai.

Citation: Chelonian Conservation and Biology: Celebrating 25 Years as the World's Turtle and Tortoise Journal 19, 1; 10.2744/CCB-1374.1

The dominant swell around Rapa Nui comes from the southeast, whereas the west and north faces tend to be less exposed to waves (Hubbard and García 2003). The main town, Hanga Roa, is situated on the west coast of Hanga Roa Bay (lat 27°08′50″S, long 109°26′01″W) and is the most populated zone of the island. The bay has the highest green turtle density around Rapa Nui (González and Álvarez-Varas 2016) and is where their feeding grounds and resting sites are found. Recently, the Chilean government and the Rapa Nui people established the biggest large-scale marine protected area in the South Pacific Ocean, the Rapa Nui Multiple Uses Coastal Marine Protected Area. The area of this conservation unit covers almost all the 728,000 km2 of the maritime Exclusive Economic Zone of Rapa Nui.

The population of green turtles that inhabits the waters around the island has been identified and monitored by citizen scientists since 2010 through the use of photo-identification (photo-ID). Currently, 41 turtle individuals have been registered and identified around Rapa Nui through this technique (González and Álvarez-Varas 2016).

Anthropogenic Uses of Hanga Roa Bay

Hanga Roa Bay has multiple uses, and is highly frequented by tourists and locals. A small harbor (hereafter referred to as Caleta) anchors approximately 25 artisanal fishing boats. Ten diving centers use the bay to conduct their underwater activities. An artificial shallow intertidal pool in a small beach called “Pea” is frequented by swimmers. There are also 2 surf spots used by surfers year-round. During summer (January–February, Southern Hemisphere school holidays), the Caleta and its surroundings are used for recreational purposes, including the annual festival “Tapati”. In addition, sailboats and cruise ships use deeper areas of the bay for anchoring.

Turtle Resting Locations

Resting Site Identification and Cataloging

Direct observations and photographs of marine turtles were made by citizen scientists (i.e., professional scuba divers of ORCA Diving Center) during their regular touristic diving work. Thus, observational methods were not designed with a scientific purpose or with any specific statistical design (Wilderman et al. 2004; Dickinson et al. 2010). Citizen scientists conducted several dives per week (median average of 4 d/wk and twice per day for around 45 min of bottom time) at different points of the island depending on weather and tourists' diving experience. Consequently, they visited reefs associated with turtle resting sites only when it overlapped with a guided tour. Therefore, our data show only marine turtle occurrence on resting sites and not the frequency of use.

Turtle resting sites were identified based on their particular characteristics (i.e., plastron print upon coral structures produced from the erosion of coral surfaces or the carapace printed in the roof of small caves due to the repeated contact with it) and when turtles were found resting in those places. Resting sites were registered and systematically described based on their physical features such as cardinal orientation (i.e., the direction of the opening of the cave or its position relative to the reef), depth, shape (i.e., cave or not cave), and composition.

Resting Site Use

When turtles were found resting at their resting sites, individuals and sites were recorded. Date and time of each photograph were compared with the tidal state (i.e., low, mid, high) at the time when the picture was taken to analyze the daily use of resting sites.

Resting Site Characteristics

The location of each site was geo-referenced with a global positioning system. Depth and cardinal orientation of each resting site were registered using a depth gauge and an underwater compass, respectively. The depth at each resting site was estimated as the average of multiple depth measurements in different depth tidal periods. The direction of cave openings and the position of flat resting sites relative to reef structures were used to determine their cardinal orientation and level of exposition (sheltered/exposed).

Turtle resting sites were characterized and compared based on local descriptors (depth and exposure to waves), substrate type (sand, rock, and coral), orientation (in degrees and cardinal direction), resting site shape (in cave or open), and resting site dimensions (m2). The resting site area was estimated from the area of an ellipse, considering the measures of resting site length and width.

Turtle Foraging Behavior and Photo-ID

Foraging Behavior

A 150-m transect parallel to the coastline was established in Hanga Roa Bay between Pea Beach (lat 27°08′53″S, long 109°25′54″W) and Caleta (lat 27°08′49″S, long 109°25′49″W). A snorkeler made a visual census along the transect line, during which observed turtles within a 5-m strip width were counted and photographed. The facial profiles of each turtle were photographed to allow posterior identification of individuals. This survey was conducted 7 times during each tidal cycle (low and high) during 5 mo (March, July, August, September, November) in 2018. Each sampling event was scheduled according to daily tides.

Turtle Photo-ID

Each individual's head profile (left and right) was photographed by divers with underwater digital cameras at a distance of 50 cm to 3 m. In most cases, both facial profiles (left and right) of each individual were obtained. After each dive, photographs were labeled and analyzed using TORSOOI photo-ID software. This software quantitatively describes the turtle's facial profiles according to the position and shape of their scutes and transforms this information into a code, which allows the software to automatically recognize different individuals (Jean et al. 2010; Chassagneux et al. 2013). However, Jean et al. (2010) concluded that although the software seems to be effective, the analysis should be accompanied by direct observations, as was incorporated in our study.

Data Analysis

We compared the frequencies of observations of turtles resting during low and high tide using χ2 tests. This test was also applied to compare the frequency of observations of foraging turtles during different tidal cycles (low and high). A nonmetric multidimensional scaling ordination (nMDS) was performed to compare turtle resting sites according to their characteristics, which included resting site area, orientation, depth (continuous), exposure (categorical), and presence of sand, rocks, and corals (binary). The nMDS was based on a resemblance matrix of Gower distances (Gower 1971). This distance measure was chosen due to the mixed nature of our data set (categorical, continuous, and binary). The ordination was performed using the R package “vegan” (Oksanen et al. 2009) and the Gower distances were calculated using the package “StatMatch” (D'Orazio 2019). We also applied χ2 tests to compare the frequencies of the different levels of categorical and binary variables. We classified water depth in 3 semicontinuous categories: shallow (depth < 10 m), intermediate (from 10 to 15 m), and deep (depth > 15 m). Then, we compared the frequencies of resting sites among them using χ2 test. Linear models were fitted to analyze the relationship between resting site area and local depth and orientation. Linear models with different curve adjustments (simple and polynomial) were compared using Akaike information criterion.

RESULTS

Resting Site Use

Fifteen green turtles were encountered at resting sites between 2013 and 2018 by citizen scientists. Among them, 12 were observed and photographed more than once using the same site during 5 yrs of observations. Turtle S was registered resting 7 times at the same resting sites (Resting Site ID: Ms_3; Table 1) in 2014 and 2017, whereas turtle F was registered 8 times at 2 different resting sites (Resting Site IDs: B2_2, B2_3; Table 1) during a period of 5 yrs. Moreover, 2 turtles (Turtles: D and L; Table 1) were registered using the same resting site twice (Resting Site ID: B2_4; Table 1), but during different periods of time.

Table 1 Number of green turtle underwater observations in specific resting sites in Hanga Roa Bay over 5 yrs (from 2013 to 2018), based on citizen-scientist observations. Only resting locations that have documented re-use are included.
Table 1

Thirty-six observations of turtles in resting sites were collected from 2013 to 2018 at Hanga Roa Bay, with a significant increase in observations during low tide (χ2 = 31.180, n = 33, p < 0.001). Among the 36 observations, 26 occurred during low tide, 6 during high tide, and 1 between high and low tides (Fig. 2); 3 observations had no time registered.

Figure 2Figure 2Figure 2
Figure 2 Total number of observations of green turtles resting in their resting locations during different tidal states over 5 yrs of observation.

Citation: Chelonian Conservation and Biology: Celebrating 25 Years as the World's Turtle and Tortoise Journal 19, 1; 10.2744/CCB-1374.1

Resting Site Characteristics

Nineteen turtle resting sites were used in our analyses. The spatial and structural similarities among them are shown in the nMDS ordination (Fig. 3). In general, there are no clear differences in resting site characteristics across the study areas. There was no significant difference between the proportions of resting sites in sheltered areas (n = 12) compared with exposed areas (n = 7). Most resting sites were oriented in a southeast cardinal direction (n = 8), followed by northwest (n = 3) and southwest (n = 3) (Fig. 4). Twelve resting sites occurred in small caves located within reef formations (shaded area), while the rest occurred on open, flat areas (Fig. 5). Although the proportion of resting sites in caves was not significantly higher than open sites (χ2 = 1.3158, df = 1, p > 0.05), caves were more recurrent in exposed areas (5 of 7 resting sites). The type of substrate was predominantly characterized by sand or the coral Porites lobata, whereas a significantly lower proportion of resting sites presented rocky bottoms (χ2 = 8.895, df = 1, p < 0.01). The depth of the resting sites ranged between 5.5 and 20 m with a median of 12.5 m (Fig. 6). Although most of the resting sites were observed between 5 and 10 m, no significant differences in resting sites frequency was observed across depth ranges (χ2 = 2, df = 2, p > 0.05). The area of the resting sites ranged from 0.49 to 3.14 m2 and it did not show any clear pattern across the study areas. We detected no significant relationship between the area of the resting sites and the local depth or orientation.

Figure 3Figure 3Figure 3
Figure 3 nMDS ordination based on Gower distances (stress = 0.17) describing the pairwise similarities of all turtle resting sites. Shaded area indicates resting sites in caves. The lines separate resting sites according to the type of substrate.

Citation: Chelonian Conservation and Biology: Celebrating 25 Years as the World's Turtle and Tortoise Journal 19, 1; 10.2744/CCB-1374.1

Figure 4Figure 4Figure 4
Figure 4 Percentage of cardinal orientation of resting sites used by green turtles in Hanga Roa Bay. NW, SW, W are exposed orientations while SE, E, NE are protected orientations.

Citation: Chelonian Conservation and Biology: Celebrating 25 Years as the World's Turtle and Tortoise Journal 19, 1; 10.2744/CCB-1374.1

Figure 5Figure 5Figure 5
Figure 5 Green turtles resting on a coral flat at Papa Haoa reef (A) and in a cave in Manavai reef (B). Photos by Camila González. (Color version is available online.)

Citation: Chelonian Conservation and Biology: Celebrating 25 Years as the World's Turtle and Tortoise Journal 19, 1; 10.2744/CCB-1374.1

Figure 6Figure 6Figure 6
Figure 6 Frequency histogram of green turtle resting sites across different depth classes; n = 19 observations.

Citation: Chelonian Conservation and Biology: Celebrating 25 Years as the World's Turtle and Tortoise Journal 19, 1; 10.2744/CCB-1374.1

Foraging Sites

Marine turtles were found foraging throughout the entire area from Pea Beach (lat 27.14826°S, long 109.43205°W) to Caleta Hanga Roa (lat 27.14690°S, long 109.43185°W) throughout the whole year. The main foraged item was Ulva sp. Twenty-four different individuals were counted from a total of 36 observations during the sampling period. A significant difference was observed between foraging times (i.e., daily tides) (χ2 = 7.111, n = 36, p = 0.008). During high tide, 3.7 individuals were counted on average compared to only 1.4 individuals during low tide (Fig. 7). From the total number of turtles recognized, 19 were identified as resident individuals that have been registered by citizen scientists on the island over approximately 5 yrs.

Figure 7Figure 7Figure 7
Figure 7 Total number of observations of green turtles feeding in their foraging area during different tidal states.

Citation: Chelonian Conservation and Biology: Celebrating 25 Years as the World's Turtle and Tortoise Journal 19, 1; 10.2744/CCB-1374.1

DISCUSSION

Here we show that Hanga Roa Bay has key habitat features, such as specific resting sites and foraging areas, for C. mydas in Rapa Nui, Chile. Our results indicate a high level of site fidelity of turtles for specific resting sites, with several turtles (n = 12) being recorded using the same locations over 5 yrs of observations. Even though we did not have frequency data about resting site use, this apparent site fidelity suggests that those sites have specific attractive features for C. mydas in Hanga Roa Bay and that they were not chosen randomly. Furthermore, in some areas, different individuals have been registered using the same site at different periods of time.

The use of the same resting sites by multiple individuals may be the result of nonterritorial behavior and/or the disuse of specific sites by individuals. Fidelity for underwater resting sites has been well described by Christiansen et al. (2017) using tagged animals' movements in the Indian Ocean, where turtles used different geographic areas at different times of the day. Although our study did not include nighttime dives, turtles are rarely seen at night in the known foraging area but are commonly seen in their resting sites during nocturnal dives (C.F.G., pers. obs.). This nocturnal resting behavior might be related to predator avoidance (e.g., sharks) (Makowski et al. 2006). However, Rapa Nui is described as an overfished environment where predators are almost absent (Friedlander et al. 2013) and, therefore, their daily movements may be associated with other factors such as tidal cycles or the proximity to their feeding grounds.

Most observations of marine turtles at their resting sites occurred during low tide. This result is consistent with the findings from the daily foraging times, which showed a significantly higher number of turtles foraging during high tides. Thus, during high tides, C. mydas moved closer to the coast to forage, while during low tides their activity was focused on resting farther offshore.

We did not find statistical differences in resting site depth; however, the most common depths for the resting sites were between 8 and 11 m. These depths probably provide a balance between being protected against water movement, which increases closer to the surface, and the need to be close enough to the surface to breathe without spending too much energy with displacement (Seminoff et al. 2006).

Even though most resting locations occurred in the protected faces of reef structures (southeast orientation), some were also found along wave-exposed faces (northwest orientation). Nevertheless, most exposed resting sites were in caves, indicating that C. mydas might prefer sites with reduced water flow for resting. Vertical and horizontal distribution of resting sites showed a clear pattern, with almost all sites positioned at the bottom and middle of reef structures, which might provide the strongest protection against water flow related to the upper end and the corners of reef structures. Sites protected from tides and waves would require less energy expenditure to maintain immobility while resting (Seminoff et al. 2006).

As the largest proportion (42%) of resting sites were oriented to the southeast (protected from wave energy), the roughness of coral structures might also be a selection criterion as it has been shown that exposed reef faces present higher coral roughness compared with protected faces (Hearn 2011). The turtle's flat plastron may fit better on a flatter bottom, such as protected reef faces. Likewise, our findings showed that the most common bottom type for cave resting sites was sand, which is a flat bottom. In terms of temperature dissipation, which might be relevant for marine turtles, protected reefs are known to experience higher temperature variability, with higher overall temperatures, than exposed reefs because of the reduced water motion and consequent higher heat accumulation during daylight hours (Hearn 2011).

Another important variable might be the proximity to food sources, which is one of the key factors in determining resting places for a variety of vertebrates (Iwata and Ando 2007). For example, in the Virgin Islands, green turtles rest in areas within 1 km of their foraging sites (Ogden et al. 1983). However, home range sizes could be highly variable depending on factors such as predator presence, currents and tides, and maximizing energy intake, among others (Charnov 1976; Elner and Hughes 1978; Christiansen et al. 2017). In Rapa Nui, resting sites and the foraging area are within 0.5 km. It is important to note that the foraging area provides a stable food source (i.e., the green alga Ulva sp.) throughout the entire year. In addition, some of the resident green turtles are accustomed to the local artisanal fishing fleet, whose fishers feed them with fish remains, resulting in some individual turtles remaining in the area during the entire day.

The foraging behavior of green turtles in Hanga Roa Bay showed a clear pattern in relation to feeding times and tidal cycle, with a significantly higher number of turtles being present during high tides. The higher density of marine turtles during high tide might be related to the easier accessibility of food items, such as the green alga Ulva sp. that grow on intertidal boulders. During high tide, these rocks are completely submerged, while during low tide they are above the water surface, out of the turtles' reach. Moreover, wave height also seems to be a relevant issue determining the daily feeding times of turtles (I.J.P., pers. obs.), which warrants further investigation. Big waves breaking on the foraging area would make the feeding process difficult because of the strong water motion, which increases the risk of turtles colliding with rocks and thus decreases the stability necessary for them to obtain their food items.

During this research, one sample of C. mydas feces was collected from Manavai reef and then analyzed to identify its organic material. One type of algae, from the genus Ulva, and a sponge (Cribrochalina dura) were identified. These findings, in addition to direct observations frequently made by local divers, demonstrate that C. mydas are feeding upon both green algae and invertebrate resources in Hanga Roa Bay. This analysis provides the first evidence of marine turtles in Rapa Nui feeding upon sponges, such as Cribrochalina dura; however, more replicates are needed to determine whether sponges represent a common food item for green turtles at Rapa Nui.

Enhancing the research focused on fine-scale habitat use of fauna (e.g., marine turtles) is fundamental for species conservation. Knowledge about local movements, feeding areas, resting areas, and diel activity patterns are all vital for effective management of turtles in coastal habitats. This information could be used by the managers of the recently declared Rapa Nui Multiple Uses Coastal Marine Protected Area for effectively identifying critical areas for protection and scheduling uses of Hanga Roa Bay in order to diminish threats to marine turtles such as massive and invasive touristic diving activities, high-speed boat traffic, and ship anchoring, among others.

Some characteristics of the analyzed data set impose limitations on the kind of analytical protocols that could be applied. As with many data sets assembled from citizen observations, our data incorporate sporadic reports of recreational divers with no standardized sampling protocols. As the diving sites and routes might change for numerous reasons, the resulting observations were spatially and temporally unbalanced. Hence, multiple accounts of resting turtles at a site might be just a reflection of places that were more frequently visited by divers than actual preferences of the sea turtles for that site. The small number of observations (19 resting sites and 36 turtle observations) also reduces the power of our analyses to detect a real effect of environmental characteristics on the selection of resting sites by turtles. Even though the analyses applied in this study are limited by these constraints, they do reveal patterns about the behavior of sea turtles in Rapa Nui. Thus, the observations described here might lead the way for the development of new studies with standardized sampling protocols to test hypotheses about green turtle preferences for resting sites.

Value of Citizen Science

Involving local communities in scientific projects increases the acceptance of scientific knowledge into local populations and contextualizes scientific work with knowledge that only local residents master (Fisher 2000; Corburn 2003). Furthermore, local people will be the first to confront the impacts of any applied result; thus, a better social response is expected if local communities participate in all steps of a scientific work (Kofler et al. 2018). At the same time, the collaborative work between citizens and scientists results in strong emergent knowledge backed up by local ecological knowledge and scientific endeavor (Fisher 2000; Corburn 2003; Friedlander 2018).

In the present study, our findings resulted from a bottom-up process that was instigated by strong interest from the local diver community to conserve the iconic population of green turtles in Rapa Nui because of their awareness that this population is being impacted by a dramatic increase in tourism and fatal encounters between turtles and boats with lack of any effective conservation initiatives. This interest was supported by local scientists who conducted empirical research to study where and when to green turtles frequent coastal areas. Such a complementary approach, involving both citizens and scientists, represents collaboration by multiple stakeholders within the local community. These efforts will ideally result in stronger, more effective conservation initiatives and apply protection to marine fauna in and around Rapa Nui.

CONCLUSIONS

We show that C. mydas in Hanga Roa Bay appear to have fidelity to their resting sites, which are frequently used during low tide. The resting sites are probably selected based on their geo-morphologic features to reduce energy expenditure during resting. Thus, more research, protection, and management of these areas will consequently result in improved conservation of these turtles on Rapa Nui. In addition, we show that C. mydas regularly feed at specific places in Hanga Roa Bay during high tide, and that 19 resident individuals, including juveniles and adults, commonly forage in this area. Educating the community (locals and tourists) and regulating activities inside the foraging area would therefore likely help to ensure the normal development of C. mydas foraging activity.

MANAGEMENT RECOMMENDATIONS

  1. Human–turtle encounters often occur during touristic scuba-diving activities, which constantly disturb animals while they are resting, thereby interrupting their normal routine. A simple management strategy would be the establishment of an appropriate distance limit for these encounters.

  2. Ship anchors (e.g., sailboat anchors) can damage coral structures, destroying turtle resting sites and all the biodiversity associated with them (e.g., benthic invertebrates, fish refuge). Designated anchoring areas and specific buoys outside of critical turtle habitats would be a rapid solution against this threat.

  3. Turtle fatalities occur when boats collide with turtles present at foraging and resting sites in Hanga Roa Bay. An appropriate management strategy is to reduce boat speed limits in specific areas of the bay and require the use of propeller protectors to decrease the number of fatal encounters between boats and turtles.

  4. Tourist swimmers at the turtle foraging area might disturb their normal foraging behavior. A useful management strategy would be the establishment of an appropriate observation distance and a schedule that would limit tourist activities during the peak foraging times of the day.

Acknowledgments

We thank ORCA Diving Center for providing key supplies for the development of this study; Dr E. Macaya, and Dr S. Carrasco for the analysis of turtle's fecal algal and sponge content; Dr E. Easton, M. Valois, R. Wahle, and M. Campos for their help in various steps of this study; and Servicio Hidrográfico y Oceanográfico de la Armada for providing tide height tables for Rapa Nui. The Comisión Nacional de Investigación Científica y Tecnológica (CONICYT) grants no. 21170169 and no. 21160168 supported the data gathering and writing work of I.P.V. and R.A.V., respectively. During the preparation of the final manuscript, partial support was provided to I.A.H. by FONDECYT through grant no. 3170392. We thank the anonymous reviewer and the editor for comments that greatly improved this manuscript. This article is in memory of Michel García Baral and dedicated to his family.

LITERATURE CITED

  • Bjorndal, K. 1980. Nutrition and grazing behavior of the green turtle Chelonia mydas.Marine Biology56:147149.
  • Brand-Gardner, J., Lanyon, J., and Limpus,C. 1999. Diet selection by immature green turtles Chelonia mydas, in subtropical Moreton Bay, south-east Queensland.Australian Journal of Zoology47:181191.
  • Campbell, S. AND Tobler,I. 1984. Animal sleep: a review of sleep duration across phylogeny.Neurocience and Biobehavioral Reviews8:269300.
  • Cauter, E., Spiegel, K., Tasali, E., and Leproult,R. 2008. Metabolic consequences of sleep and sleep loss.Sleep Medicine9:S23S28.
  • Charnov, L. 1976. Optimal foraging, the marginal value theorem.Theoretical Population Biology9:129136.
  • Chassagneux, A., Jean, C., Bourjea, J., and Ciccione,S. 2013. Unraveling behavioral patterns of foraging hawksbill and green turtles using photo-identification.Marine Turtle Newsletter137:15.
  • Christiansen, F., Mortimer, E., Dujon, M., and Hays,C. 2017. Diel and seasonal patterns in activity and home range size of green turtles on their foraging grounds revealed by extended Fastloc-GPS tracking.Marine Biology164:10.
  • Corburn, J. 2003. Bringing local knowledge into environmental decision making. Improving urban planning for communities at risk.Journal of Planning Education and Research22:420433.
  • Dickinson, J., Zuckerberg, B., and Bonter,D. 2010. Citizen science as an ecological research tool: challenges and benefits.Annual Review of Ecology and Systematics41:149172.
  • Dingle, H. AND Drake,A. 2007. What is a migration?BioScience57(
    2
    ): 113121.
  • D'orazio, M. 2019. StatMatch: Statistical Matching or Data Fusion. R package version 1.3.0.
    Vienna
    :
    R Foundation for Statistical Computing
    . https://CRAN.R-project.org/package=StatMatch.
  • Dunlap, J. AND Loros,J. 2016. Yes, circadian rhythms actually do affect almost everything.Cell Research26:759760.
  • Elner, R. AND Hughes,N. 1978. Energy maximization in the diet of the shore crab, Carcinus maenas.Journal of Animal Ecology47:103116.
  • Fisher, F. 2000. Citizens, Experts, and the Environment: The Politics of Local Knowledge.
    Durham, NC
    :
    Duke University Press
    .
  • Friedlander, A. 2018. Marine conservation in Oceania: past, present and future.Marine Pollution Bulletin135:139149.
  • Friedlander, A., Ballesteros, E., Beets, J., Berkenpas, E., Gaymer, C., Gorny, M., and Sala,E. 2013. Effects of isolation and fishing on the marine ecosystems of Easter Island and Salas y Gómez, Chile.Aquatic Conservation: Marine and Freshwater Ecosystems23:515531.
  • Gaymer, C., Cárcamo, P., Friedlander, A., Palma, A., Bodini, A., Muñoz, A., García, M., Sorensen, E., Petit, I., Zañartu, L., Rapu, B., Gutierrez, C., and Hoffens,A. 2011. Implementación de una reserva marina en la Bahía de Hanga Roa: estudio de línea de base N° 4728-11-LE1.
    Chile
    :
    Subsecretaría de Pesca y Acuicultura
    , 141 pp.
  • Gaymer, C. AND Himmelman,J. 2008. A keystone predatory sea star in the intertidal zone is controlled by a higher-order predatory sea star in the subtidal zone.Marine Ecology Progress Series370:143153.
  • González, C. AND Álvarez-Varas,R. 2016. Isolated in the Pacific: Hanga Roa, an important habitat or sea turtles in Easter Island, Chile.36th International Symposium on Sea Turtle Biology and Conservation, Lima, Peru.
  • Gower, C. 1971. A general coefficient of similarity and some of its properties.Biometrics27:623637.
  • Häfker, N., Bettina, M., Last, M., Pond, D., Huppe, L., and Teschke,M. 2017. Circadian clock involvement in zooplankton diel vertical migration.Current Biology27:18.
  • Hamann, M., Godfrey, M., Seminoff J.A., Arthur, K., Barata, P., Bjorndal, K., Bolten, B., Broderick, A., Campbell, L., Carreras, C., ET AL. 2010. Global research priorities for sea turtles: informing management and conservation in the 21st century.Endangered Species Research11:245269.
  • Hays, G. 2008. Sea turtles: a review of some key recent discoveries and remaining questions.Journal of Experimental Marine Biology and Ecology356:12.
  • Hearn, C. 2011. Perspectives in coral reef hydrodynamics.Coral Reefs30:19.
  • Hochscheid, S., Bentivegna, F., and Hays,G.C. 2005. First records of dive durations for hibernating sea turtle.Biology Letters1:8286.
  • Hochscheid, S., Bentivegna, F., Mohsamed, B., and Hays,G.C. 2007. Overwintering behavior in sea turtles: dormancy is optional.Marine Ecology Progress Series340:287298.
  • Hubbard, D. AND García,M. 2003. The corals and coral reefs of Easter Island—a preliminary look.In:Loret,J. and Tanacredi,J. (Eds.). Easter Island, Scientific Exploration into the World Environmental Problems in Microcosm.
    New York
    :
    Springer Science and Business Media
    , pp. 5357.
  • Iwata, Y. AND Ando,C. 2007. Bed and bedsite reuse by western lowland gorillas (Gorilla g. gorilla) in Moukalaba-Doudou National Park, Gbon.Primates48:7780.
  • Jean, C., Ciccione, S., Talma, E., Ballorain, K., and Bourjea,J. 2010. Photo-identification method for green and hawksbill turtles—first results from Reunion.Indian Ocean Turtle Newsletter11:813.
  • Kofler, N., Collins, J., Kuzma, J., Marris, E., Esvelt, K., Nelson, M., Newhouse, A., Rothschild, L., Vigliotti, V., Semenov, M., Jacobsen, R., Dahlman, J., Prince, S., Caccone, A., Brown, T., and Schmitz,O. 2018. Editing nature: local roots of global governance. Environmental gene editing demands collective oversight.Science362:527279.
  • Kuiper-Linley, M. 1994. Effects of simulated turtle grazing on seagrasses of Moreton Bay.
    BSc (Honours) Thesis, University of Queensland
    ,
    Brisbane, Australia
    .
  • Makowski, C., Seminoff, J., and Salmon,M. 2006. Home range and habitat use of juvenile Atlantic green turtles (Chelonia mydas) on shallow reef habitats in Palm Beach, Florida, USA.Marine Biology148:11671179.
  • Ogden, J., Robinson, L., Whitlock, K., Daganhardt, H., and Cebula,R. 1983. Diel foraging patterns in juvenile green turtles (Chelonia mydas) in St. Croix United States Virgin Islands.Journal of Experimental Marine Biology and Ecology66:199205.
  • Oksanen, J., Kindt, R., Legendre, P., O'hara, B., Simpson, G.L., Solymos, P., Henry, M., Stevens, H., and Wagner,H. 2009. vegan: Community Ecology Package. R package version 2.5-2.
    Vienna
    :
    R Foundation fro Statistical Computing
    . https://CRAN.R-project.org/package=vegan.
  • Petit, J.I., Gaymer, F.C., Palma, T.A., and Wahle,A.R. 2015. Predation of juvenile Jasus frontalis, an endemic spiny lobster of the Juan Fernández archipelago, Chile.Journal of Shellfish Research34(
    3
    ): 10851089.
  • Pfister, C. AND Harrington,B. 1992. The impact of human disturbance on shorebirds at a migration staging area.Biological Conservation60:115126.
  • Rees, A.F., Alfaro-Shigueto, J., Barata, P.C.R., Bjorndal, K.A., Bolten, A.B., Bourjea, J., Broderick, A.C., Campbell, L.M., Cardona, L., Carreras, C., ET AL. 2016. Review: Are we working towards global research priorities for management and conservation of sea turtles?Endangered Species Research31:337382.
  • Rice, M. AND Balazs,G. 2008. Diving behavior of the Hawaiian green turtle (Chelonia mydas) during oceanic migrations.Journal of Experimental Marine Biology and Ecology356:121127.
  • Rincon-Díaz, M., Diez, C., Van Dam, R., and Sabat,A. 2011. Foraging selectivity of the hawksbill sea turtle (Eretmochelys imbricata) in the Culebra Archipelago, Puerto Rico.Journal of Herpetology45(
    3
    ): 277283.
  • Seminoff, J.A., Jones, T.T., and Marshall,G. 2006. Underwater behavior of green turtles monitored with video-time-depth recorders: what's missing from dive profiles?Marine Ecology Progress Series322:269280.
  • Sheehy, J., Taylor, C., and Norris,R. 2011. The importance of stopover habitat for developing effective conservation strategies for migratory animals.Journal of Ornithology152 (
    1
    ): 161168.
  • Siegel, J. 2008. Do all animals sleep?Trends in Neurociences31:208213.
  • Terborgh, J. AND Estes,A. 2010. Trophic Cascades, Predators, Prey, and the Changing Dynamics of Nature.
    Washington, DC
    :
    Island Press
    , 464 pp.
  • Tessmar-Raible, K., Raible, F., and Arboleda,E. 2011. Another place, another timer: marine species and the rhythms of life.Bioessays33:165172.
  • Tighe, S. 1981. Grazing of seagrasses by the turtle (Chelonia mydas) in St. Croix.
    MS Thesis, USVI Fairleigh Dickinson University
    ,
    St. Croix, US Virgin Islands
    , 39 pp.
  • Vélez-Rubio, G.M., Cardona, L., López-Mendilaharsu, M., Souza, G.M., Carranza, A., González-Paredes, D., and Tomás,J. 2016. Ontogenetic dietary changes of green turtles (Chelonia mydas) in the temperate southwestern Atlantic.Marine Biology163(
    3
    ): 5773.
  • Von Brandis, R., Mortimer, J., and Reilly,B. 2010. In-water observations of the diving behaviour of immature hawksbill turtles, Eretmochelys imbricata, on a coral reef at D'Arros Island, Republic of Seychelles.Chelonian Conservation and Biology9(
    1
    ): 2632.
  • Wilderman, C., Barron, A., and Imgrund,L. 2004. Top down or bottom up? ALLARM's experience with two operational models for community science.Proceedings of the 4th national monitoring conference. National Water Quality Monitoring Council.
Copyright: © 2020 Chelonian Research Foundation 2020
Figure 1
Figure 1

Map of Hanga Roa Bay showing the distribution of green turtle resting locations (black circles) and the foraging area (black patch) in Rapa Nui. The size of the circles represents the number of turtle resting sites in each location. All resting locations are included. B2 = buoy 2; B1 = buoy 1; Ms = South Manavai; M = Manavai; Mn = North Manavai.


Figure 2
Figure 2

Total number of observations of green turtles resting in their resting locations during different tidal states over 5 yrs of observation.


Figure 3
Figure 3

nMDS ordination based on Gower distances (stress = 0.17) describing the pairwise similarities of all turtle resting sites. Shaded area indicates resting sites in caves. The lines separate resting sites according to the type of substrate.


Figure 4
Figure 4

Percentage of cardinal orientation of resting sites used by green turtles in Hanga Roa Bay. NW, SW, W are exposed orientations while SE, E, NE are protected orientations.


Figure 5
Figure 5

Green turtles resting on a coral flat at Papa Haoa reef (A) and in a cave in Manavai reef (B). Photos by Camila González. (Color version is available online.)


Figure 6
Figure 6

Frequency histogram of green turtle resting sites across different depth classes; n = 19 observations.


Figure 7
Figure 7

Total number of observations of green turtles feeding in their foraging area during different tidal states.


Contributor Notes

Corresponding author

Handling Editor: Jeffrey A. Seminoff

Received: 25 Jun 2019
Accepted: 16 Nov 2019
  • Download PDF