Abstract
A change in seasonal flooding cycles in the Amazon may negatively impact nesting success of the Giant South American Turtle (
Introduction
Global warming and associated climatic change are unequivocal, and are likely to alter global and regional precipitation and atmospheric pressure patterns (IPCC, 2013). The Amazon basin is highly vulnerable (Fearnside, 2009; Marengo, 2004; Nobre, Sampaio, & Salazar, 2007), because climate change can potentially affect not only temperature but also regional hydrology (Costa & Foley, 2000; Costa, Botta, & Cardille, 2003; Foley, Botta, Coe, & Costa, 2002; Foley et al., 2005; Guimberteau et al., 2013; Schöngart & Junk, 2007). The periodic inundation of Amazon rivers, called the flood pulse, is vital to the continuation of its ecological processes (Junk, Bayley, & Sparks, 1989). Alterations in the pulse in extremely dry or wet years may seriously impact the region’s flora and fauna (Schöngart et al., 2004; Vale, Filizola, Souza, & Schongart, 2011). Furthermore, interactions between deforestation and climate change might result in drastic changes in the river flooding regime and increase the frequency and amplitude of extreme events (Cook & Vizy 2008; Fearnside, 2006; Gentry & Lopez-Parodi, 1980; Nijssen, O'Donnell, Hamlet, & Lettenmaier, 2001; Nobre et al., 2007; Shukla, Nobre, & Sellers, 1990).
A change in rainfall and flood cycles will have direct impacts on Amazon freshwater turtles. The length of the dry season dictates the reproductive success of riverine turtles. The nesting biology of the Giant South American Turtle (
Riverine turtles from the family Podocnemididae are an important source of protein for local human populations and have a long history of overexploitation (Bates, 1876; Johns, 1987; Mittermeier, 1978). The obvious decline of riverine turtles in the Amazon, in particular the
Currently there are a series of programs managed by national and state governments, local communities, and NGOs focused on the conservation of
Changes in the annual flooding cycle of the Amazon River and its tributaries due to climate change could increase the number of years with a short dry season. Shorter dry seasons would affect the availability of nesting sandbanks and negatively influence reproductive success. Therefore, it is vital to assess the vulnerability of
We used a simple and inexpensive technique to gauge the effect of alterations in fluvial cycles on
Methods
Study site
The Trombetas Reserve is located on the northeast side of the Trombetas River (1°22′19″S; 56°51′30″W), a tributary of the Amazon River in Para state, Brazil. The Reserve encompasses an area of 385,000 ha (Haller & Rodrigues, 2006), incorporating nesting sandbanks and adjacent floodplain and seasonally inundated forest habitats.
Currently, Turtle nesting beaches (Leonardo, Farias and Jacaré) protected in the Trombetas Reserve. Sampled area was defined as the area that encompassed all 
Study design and analyses
We estimated the area of the three main protected sandbanks in the Trombetas Reserve (Leonardo, Farias, and Jacaré: 1°22′19″S; 56°51′30″W; Figure 1) by walking the boundary with a GPS (Garmin GPSMAP 62 S). Although few or no nests have been observed at Leonardo in the past two decades, this sandbank was included in our study because of its importance as a nesting site in the 1970s (Alho et al., 1979)..
To compare the topography of the general nesting area with the height of individual nest sites, we obtained heights above water level (sample points) in a grid pattern over the entire nesting area. Sample point heights were recorded every 10 m along parallel lines spaced 10 m apart, forming a series of 10 m2 quadrats. We used a compass, a tape measure and a line level (precise to 0.5 cm) to establish the grid and measure the points. Measurements were taken during the peak of the dry season, following
We calculated nest height using the average of the four corners of the 10 m2 quadrat where each nest was located. Sample points and nest site locations were georeferenced with a GPS and mapped using the freeware GIS Viewer ESRI ArcGIS Explorer Desktop (available from http://www.esri.com/software/arcgis/explorer-desktop). A two-way analysis of variance (ANOVA) was used to test whether total height (dependent variable) differed between sample points and nests, and between Farias and Jacaré beaches.
To allow comparisons of nest height among years and studies, we converted the measured height to total height (total height = measured height + water level during the sampling period). This was used to standardize height against zero water level (Ferreira Júnior & Castro, 2005, 2010). Since 2007 the water level has been recorded twice a day (early morning and late afternoon) by the park rangers at the Trombetas Reserve Station, using a water-level pole (precision of 1 cm). The pole is located on the opposite side of the river from Farias beach. We used an average river height of 441 cm (sampling period of 30 November to 7 December 2014; water level ranged from 436 cm to 450 cm) to calculate total height.
We used 50% and 100% flooding thresholds to compare nest survivorship among different sandbanks, years, and water level scenarios. Flooding threshold was defined as the water level heights in which 50% and 100% of the nest sites would be completely inundated. In the case of Amazon riverine turtles, an increase in water level could potentially occur at any time during the nesting period; nest mortality by flooding could be the outcome of a short dry season caused by an extreme wet year, or stochastic events such as the “repiquete”, a fast flooding event caused by atypical high precipitation during the dry season (Alho & Pádua, 1982b; Ferreira-Júnior & Castro, 2010; Hildebrand, et al., 1997) To assess nest vulnerability to changes in water level during the incubation period, we assessed nest survivorship on Farias and Jacaré in five different scenarios of river water level (0, +50, +100, +150 and +200 cm).
A nesting site was considered viable if it was outside the water for a minimum of 55 days during the dry season. The 55 days mininum was used because the average incubation period for
We used historical water level data from the “Brazilian Water Agency” (Agência Nacional de Águas: ANA – http://hidroweb.ana.gov.br/) to estimate nest site flooding for previous years. Data on water level were available for the Trombetas Reserve from 2007 to 2015. Longer-term water level data were obtained from the nearest available station (downstream of the Reserve) in Oriximiná municipality (1°46′35″S; 55°51′44″W), where records have been kept since 1971. We performed a simple regression to test the relationship between the Trombetas Reserve and Oriximiná water level records. The regression equation was used to determine the Oriximiná water level threshold that would correspond to 100% of nest sites flooding at the REBIO-Trombetas Reserve.
To test the relationship between nest site flooding and
Results
2014–2015 nesting season
During the 2014–2015 nesting season, the main protected sandbanks (praia or “beaches”) in the Trombetas Reserve were Leonardo (13.6 ha), Farias (49.8 ha) and Jacaré (77.4 ha; Figure 1). The sampled area corresponded to sites where Water levels in the Trombetas River during the low level season. Lines are individual years for August to April, 2007 to 2015. Straight lines represent the water level threshold when 50% and 100% of 
In total, we recorded 901 grid sample points and 103 nest site locations for Jacaré beach, and 699 sample points and six nest locations for Farias beach. There was an effect of nesting beach (two-way ANOVA, F1,1705 = 117.97, p < 0.001), whereby Jacaré sample points (mean ± SD: 627.9 ± 2.6 cm, range: 441–882, n = 901) were significantly greater than Farias (586.5 ± 3.0, range 441–799, n = 699). There was also an effect of nesting site location (F1,1705 = 146.24, p < 0.001), indicating that nest sites were significantly greater than sample points. Jacaré nests (704.6 ± 5.2, range 587–798, n = 103) were on average 57 cm higher than Farias nests (648.1 ± 25.1, range 540–697, n = 6). We did not find a significant interaction between nesting beaches and sample heights (F1,1705 = 0.22, p = 0.64; Figure 3).
Average and standard error of grid sample points and 
Based on recorded nest heights, 100% of nests would be flooded when water levels were higher than 882 cm and 799 cm for Jacaré and Farias beaches, respectively. Inundation of 50% of nests would occur with water levels of 620 cm for Jacaré and 589 cm for Farias. Nesting sites on Jacaré were available for 28 days longer than for Farias (Figures 2 and 4). At the beginning of the dry season nesting sites started to emerge on Jacaré on 28 August 2014, 14 days earlier than Farias (11 September 2014). At the end of the dry season Jacaré nesting sites were completely flooded 14 days after Farias nesting sites (21 March 2015 versus 7 March 2015).
Model for two inundation scenarios (50 and 100% nest survivorship) at two sites, Farias and Jacaré nesting beaches, based on nest site total heights recorded during the 2014–2015 nesting season. 
Water levels and hatchling production
Water levels in the studied nesting season (2014–2015) dropped later than in the previous eight dry seasons (2007 to 2015; Figure 2), but sustained low levels for several months. When we extrapolated nest site heights to previous years, we found that nesting sites on Jacaré emerged on average for 208 days (208 ± 9.7 days; range 195–222) during the dry season. Farias nests were exposed to the air on average 30 days less (177.7 ± 15.1 days; range 158–204). Under the 50% scenario, Farias nesting sites were exposed on average for ten days less (108.0 ± 16.6 days; range 82–126) than on Jacaré (117.7 ± 12.4 days; range: 101–131) (Figure 4).
The regression between the Oriximiná and Trombetas water level stations was highly significant (R2 = 0.97; p < 0.0001; df = 1 241; y = 0.9372x – 166.64). Based on this equation a water level of 660 cm at the Oriximiná station would cover 100% of the Trombetas Reserve nesting sites.
A significant decline was observed in the number of hatchlings produced in the Trombetas Reserve (Spearman rank correlation: ρ = −0.92; p < 0.0001; Figure 5a). There was also a significant decline in the number of days that 100% of nesting sites were exposed during the dry season (Spearman rank correlation: ρ = −0.58; p < 0.0001; Figure 5b). We observed an average decline of 15 days per decade (62 days from 1971 to 2015) of sandbank exposure during the nesting season since 1970.
Number of 
There was no correlation between the number of days when 100% of nesting sites were inundated (Oriximiná water level > 660 cm) and the number of hatchlings produced during the years 1982 to 2007 (Spearman rank correlation: ρ = 0.23; p = 0.35). However, very wet years, when 100% of nesting sites remained flooded for more than 200 days, had reduced number of hatchlings (Figure 6).
Relationship between the number of hatchlings produced at the Trombetas Reserve and the number of days the water level was below 660 cm, and therefore nesting areas were above the flooding threshold (100% of nests inundated). Water level data (1970 to 2015) derived from the Oriximiná water level station.
Discussion
2014–2015 nesting season
Because higher water levels result in shorter periods of sandbank availability in the dry season, an increase of 423 cm at Jacaré and 341 cm at Farias above the observed daily level would result in 100% of nest sites not reaching the necessary minimum period required for successful hatchling production (55 days). An increase of only 137 cm at Jacaré and 105 cm at Farias would be enough to place 50% of nest sites below the survivorship threshold (Figure 2).
Maternal nesting behavior has the potential to compensate for climatic changes (Doody, Stewart, Camacho, & Christian, 2012; Urban, Richardson, & Freidenfelds, 2014). According to our results, females of
Different species of Amazon riverine turtle have distinct nesting site preferences (Vogt, 2008), hence other species of
Water levels and hatchling production
In extrapolating 2014 nest site data to previous nesting seasons, our model assumed no major changes in nest height distribution over the years. Among years comparisons would only be legitimate if overall nest heights were relatively stable over the years, even with changes in sandbank architecture. Pádua (1981)recorded nest height to water levels of 167 cm, 162 cm, 179 cm and 178 cm on the 24th October 1979 at Leonardo beach in the area where most nests were laid during the 1979–1980 dry season. Taking into account a water level average of 497 cm in October 1979, total height ranged from 575 to 659 cm. These values are within the nest total height range of the 2014–2015 nesting season (540 cm to 798 cm), suggesting that nest heights have been consistent over the years.
Nesting sandbanks in Amazon are usually very dynamic. Sandbank architecture changes following flooding events, even within a breeding season. Therefore, in locations with highly unstable sandbanks, one-year values for nest height distribution might not apply to other years. In such locations nest height should be measured every nesting season, and any extrapolation of the data should be done with caution. However, our study at the Trombetas Reserve suggests that although sandbank topography may change in this area, appropriate height nest sites persist between years.
In addition to water level considerations, the total number of hatchlings produced in a given year is influenced by the number of females laying nests, incubation temperatures, and humidity. To better understand the effect of water level on the decline of hatchling production, we recommend that future sandbank monitoring protocols in Amazon collect data on hatchling success (number of hatchlings in relation to the number of eggs per nest) and nest height.
In comparison to the past seven dry seasons (2007 to 2014), the 2014–2015 nesting season water levels rose and fell later than the average times for these variables. Changes in flooding cycles are likely to affect the number of hatchlings. A premature increase in water levels and consequent nest flooding will result in 100% egg mortality (Ferreira Júnior, 2009; Ferreira Júnior & Castro, 2003). However, a delay in the water level receding at the beginning of the dry season will also have negative effects. It might delay egg laying and induce females to nest on inappropriately steep sites. This would result in an increase in nest loss due to erosion, and excavation of existing nests by females nesting later on the same site (Alho & Pádua, 1982a; Pantoja-Lima et al., 2009).
Changes in nesting season timing might also affect the thermal characteristics of the nest, which can affect incubation period, success rate, and sex ratio of hatchlings (Ferreira-Júnior & Castro, 2010). The sex of
Hatching success is highly variable among nesting seasons at Trombetas Reserve. For example, from 1986 to 1989 hatching success was 88.4%, 51.6%, 86.3% and 76.6% (RAN-IBAMA, 2003). The average success rate for nests protected from predators is 86% (Alho et al., 1982b) and it is suspected that rainfall and hydrology influence egg mortality (ENGE-RIO/Eletronorte, 1998). Water cycles are unlikely to rise over 3.5 m, which is the point where 100% of the nesting sites are flooded. However, an increase of 1.5 m in the water level is sufficient to make half of the nesting sites unsuitable, which might explain the low hatchling production in years when water levels remain high (over 200 days of sandbank flooding, Figure 6). Therefore, our study is novel because for the first time, long-term data were used to link hydrological changes, presumably related to climate change, to a negative impact on the nesting ecology of
Implications for conservation
Implications for turtle conservation at REBIO-Trombetas
From 1981 to 2000 the Amazon Turtles Project (PQA) at REBIO-Trombetas released over five million hatchlings (Figure 7). Despite annual conservation actions, a sharp decline in the number of nests and hatchlings at the protected sandbanks was observed over the past 30 years. Understanding and stopping this decline has been one of the main goals for wildlife managers, park rangers and researchers working on this Reserve (RAN-IBAMA, 2003). We observed a significant decline in sandbank availability during the dry season over the past 40 years. However, hatchling production decline was considerably greater and was not related to sandbank availability. Nevertheless, water cycle changes could combine with the key sources of decline and produce a cumulative effect on (a) Nesting females, (b) nests and (c) hatchling of Giant South American Turtle 
Overharvest is still the main cause of
Another management issue which could be affecting
Other anthropological disturbances such as hydroelectric dams, roads, and dredging can also negatively impact populations of
Another reason for the decline in the number of hatchlings could be the prioritization, monitoring and protection of sandbanks no longer preferred by females. Nesting females respond to erosion of one particular sandbank by nesting in another sandbank with more suitable characteristics. In the past, Leonardo beach was the main nesting sandbank (Valle, Alfinito, & Silva, 1973; Vecchi, 1978), with over 5,000 females nesting in 1978 (Alho et al., 1979). As of 1982, Jacaré beach became the most frequented nesting sandbank in the area (Alho et al., 1982b; RAN-IBAMA, 2003; Valle, et al., 1973; Vecchi, 1978). Jacaré was the beach with the largest area in 2014, and had elevated sample points and consequently higher nesting sites. Due to these features, Jacaré is currently the most suitable sandbank for
Monitoring of sandbanks outside the protected areas should be a priority. Managers should ensure the protection of sandbanks with the highest hatchling production. Otherwise, conservation efforts might prioritize unproductive sandbanks and erroneously infer
Implications for turtle conservation in Amazon
The Amazon Turtles Project (PQA) has protected nesting sandbanks in nine Brazilian states and released over 46 million hatchlings from 1975 to 2004 (Cantarelli, Malvasio, & Verdade, 2014). Its approach ensured a greater degree of protection for
Controversial translocations of nests are part of many PQA programs. Nests are removed from their original sites and placed in “safer” areas, where mortality is less likely to occur from flooding, natural predation, and human harvest (Pantoja-Lima et al., 2009). However, in many cases, this procedure decreases egg survivorship (Fachín Terán & von Mülhen, 2003; Haller & Rodrigues, 2006; Malvasio, Salera-Júnior, Souza, & Modro, 2005; Vanzolini, 2003; Vogt, Cantarelli, & Carvalho, 1994), and skews hatchling sex ratios (Alho et al., 1985; Souza & Vogt, 1994; Valenzuela et al., 1997). Therefore, the removal of nests from their original site should be avoided. The methods presented in this study can help managers to monitor and predict nest mortality due to flooding. Nests should be translocated only when flood mortality is certain. Nest height data and water level stations can be used for remote monitoring and decision making. Managers should be able to determine water level flooding thresholds and protocols for nest translocation. Water level and nest height monitoring are particularly important in protected areas, where strategies for the conservation of endangered species are applied annually.
Although total nest height is a measurement used in previous studies of
Climate change can modify the Amazon basin hydrology substantially (Guimberteau et al., 2013). Our study and its applications to other areas and species in Amazon can help future conservation programs to predict and respond to changes in the flood pulse. In comparison to other endangered species, the allocation of resources for the protection of riverine turtles has been considerable in the past 30 years. The monitoring and management tools presented in this study are vital for the conservation of Amazon riverine turtles. These techniques can help improve hatchling production and avoid further
Footnotes
Acknowledgments
This study was financed by CNPq (National Council for the Scientific and Technological Development). CCE (process numbers 506128/2013-0 and 233418/2014-8) is a researcher from CNPq. We thank the Tartarugas da Amazônia Project and the Chico Mendes Institute for the Conservation of Biodiversity (ICMBio)/REBIO-Trombetas for logistic support. We are thankful to Manuel Raimundo Santos (Maneco) and the REBIO-Trombetas staff for assistance in the field. Long-term data related to hatchling production were supplied by RAN/ICMBio (Brazilian National Center for Research and Conservation of Reptiles and Amphibians). We are grateful to Dr Stephen Reynolds (CDU), who provided valuable editorial comments on the manuscript.
Declaration of Conflicting Interests
The author(s) declared no potential conflicts of interest with respect to the research, authorship, and/or publication of this article.
Funding
The author(s) disclosed receipt of the following financial support for the research, authorship, and/or publication of this article: The author(s) received financial support from CNPq (National Council for the Scientific and Technological Development, Brazil) for the research presented in this article.
