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NORTH-WESTERN JOURNAL OF ZOOLOGY 15 (2): 135-146 ©NWJZ, Oradea, Romania, 2019 Article No.: e181502 http://biozoojournals.ro/nwjz/index.html

Dietary resource use by an assemblage of terrestrial from the Brazilian Cerrado

Thiago MARQUES-PINTO1,*, André Felipe BARRETO-LIMA1,2,3 and Reuber Albuquerque BRANDÃO1

1. Laboratório de Fauna e Unidades de Conservação, Departamento de Engenharia Florestal, Universidade de Brasília, Brasília – DF, . 70.910-900, [email protected] 2. Departamento de Ciências Fisiológicas, Instituto de Ciências Biológicas, Universidade de Brasília, Campus Darcy Ribeiro, Brasília – DF, Brazil. 70.910-900, [email protected] 3. Programa de Pós-Graduação em Ecologia, Instituto de Ciências Biológicas, Universidade de Brasília, Campus Darcy Ribeiro, Brasília – DF, Brazil. 70.910-900. *Corresponding author, T. Marques-Pinto, E-mail: [email protected]

Received: 08. June 2016 / Accepted: 07. April 2018 / Available online: 19. April 2018 / Printed: December 2019

Abstract. Diet is an important aspect of the ecological niche, and assemblages are often structured based on the ways food resources are partitioned among coexisting species. However, few works investigated the use of food resources in anuran communities in the Brazilian Cerrado biome. Thereby, we studied the feeding ecology of an anuran assembly composed of six terrestrial species in a Cerrado protected area. Our main purpose was to detect if there was a structure in the assemblage based on the species’ diet, in terms of the feeding niche overlap and the species’ size. All specimens were collected by pitfall traps placed along a lagoon margin, during the rainy season. We collected six frog species: cesarii (172 individuals), fuscus (10), L. furnarius (17), L. latrans (21), Physalaemus centralis (297) and P. cuvieri (112). The prey length and volume were related, to some extent, to the species morphology, except for E. cesarii. The observed niche overlap was greater than expected by chance. The prey type abundance and frog morphology had no relationships. Morphometric differences among frog species did not determine differences on the resource use, and the anuran assemblage fed on similar diet items, with a high dietary niche overlap.

Keywords: anuran diet, Cerrado anurans, assemblage, feeding ecology, niche overlap.

Introduction Anurans use mainly arthropods on diet (Toft 1980), but each prey type has a different importance for each species (Leite- Interspecific competition theories (Huisman & Weissing Filho et al. 2017). Several studies showed relationship be- 1999, Chesson 2000, Rees et al. 2001) or neutral theories (Bell tween the frog body size and prey size, suggesting that their 2001, Hubbell 2001) have been used to interpret the dynam- different use may benefit resource sharing among species ics and the structure of natural communities (Ernst & Rodel (Toft 1995; Lima & Moreira 1993, Vitt & Caldwell 1994, 2006). Communities can be integrated with structured as- Caldwell 1996). In a broad sense, specialist frog species eat semblages that evolved as units (Clements 1916, Pianka smaller and more prey (e.g. ) than non-specialist or gen- 1973, Roughgarden 1976), resulting of species’ responses to eralist species (Caldwell 1996, Vitt and Zani 1996), suggest- environment constraints (Gleason 1926, Rotenberry & Wiens ing that some guilds can show smaller competition among 1980, Wiens & Rotenberry 1981, Homes et al. 1986, Eterovick species than expected by chance. et al. 2010) coupled (or not) to historical processes (França et Most studies on tropical anuran assemblages focused on al. 2008, Carnaval et al. 2009). In resource-rich environments, aspects of resource partition by means of the niche breadth it is not expected species competing, but when the resources and overlapping (Crump 1974, Inger & Colwell 1977, Du- are scarce, the competition tends to be strong. However, the ellman 1978, Toft 1982, Inger et al. 1987, Lima & Magnusson competition within the community can be reduced by the 1998, Protázio et al. 2015, Leite-Filho et al. 2017) or the occur- predation (Azevedo-Ramos et al. 1999, Hero et al. 2001), rence patterns and use (Gascon 1991, Parris & Mac- habitat and resource heterogeneity, or by environmental Carthy 1999, Neckel-Oliveira et al. 2000, Parris 2004, Et- changes (Ernst & Rodel 2006). Thereby, the competition is a erovick & Sazima 2000). As the diet is a fundamental aspect key factor to be considered in studies that focus on niche re- of ecological niche, it seems reasonable that the community lationship among species (Brown & Lieberman 1973, Pianka structure reflects the way that food resources are shared 1973, Vitt & Carvalho 1995, Caldwell & Vitt 1999). If any among coexisting species (Andrew & Christensen 2001). structure is observed, it is often attributed to the competition On the other hand, pairs of closed related species using (Ernst & Rodel 2006). the same microhabitats showed a higher niche overlap (in Neotropical sites harbour the largest anuran diversity in the diet), and a null model analysis showed a lack of struc- the world (Bertoluci 1998, Heyer et al. 1990, Duellman 1999, ture in the spatial and acoustic niches, indicating the lack of Fouquet et al. 2006, Valdujo et al. 2012), exhibiting coexis- competition (Protázio et al. 2015a). Thus, the competition did tence of several species mediated by ecological interactions, not appear to regulate anuran assemblages, even when the phylogenetic history and environmental constraints (Fou- closely related species had a higher degree of morphological quet et al. 2006, Carnaval et al 2009, Protázio et al. 2015, Le- similarity, suggesting a conservative feature for the body ite-Filho et al. 2017). In anuran assemblages, as in other taxa, shape (Protázio et al. 2015b). In a comparison of pastures the diet is a dimension of the ecologic niche that can be parti- versus forests, the availability of mesic and other tioned by species (Lima & Magnusson 1998) and may be af- landscape features explained a significant amount of varia- fected by ecological processes (Leite-Filho et al. 2017). Many tion in the community structure (Manenti et al. 2013), sug- anuran species take prey in a different proportion from the gesting that the resource distribution over the landscape can leaf litter, suggesting that they select their prey or possess explain the frog distribution and the community structure specialization for certain food items (Lima & Moreira 1993). (Oliveira et al. 2017). 136 T. Marques-Pinto et al.

The Cerrado is a global conservation hotspot (Myers et al 2000), being the biggest, richer, and, possibly, more threat- ened savanna in the world (Oliveira & Marquis 2002, Silva & Bates 2002). Despite that Cerrado harbours a very diverse (Valdujo et al. 2012) and highly threatened amphibia fauna (Ribeiro et al. 2017), most of diet studies performed with frogs in the biome were focused in autoecological aspects (e.g. Brandão et al 2003, Biavati et al. 2004, Magalhães et al. 2016), and the effect of the food use by different species on community structure was not investigated. Herein, we evaluated the diet of six terrestrial frogs, focusing on their trophic relationships and the effect of their diet in the as- semblage structure, based on the niche overlapping, the rela- tive importance of prey for the species, and the frogs’ mor- Figure 1. Location of Águas Emendadas Ecological Station (ESECAE), phology on the size and volume of the consumed prey. In and Bonita Lagoon, in Federal District of Brazil. addition, we asked: 1) if frog species differ in their diets in terms of the prey type and abundance; 2) if the observed mm). Stomachs were extracted, and their items were counted, meas- niche overlap is different from the overlap expected by ured and identified to the order and/or family level (for Formicidae) chance; and 3) if the frogs’ body size and head size deter- under a stereoscopic microscope. For Isoptera, we counted different mine the size and volume of the consumed prey. castes (reproductive winged individuals, workers and soldiers) due to differences in distribution of these castes in the habitat (i.e. differ- ences in its availability). Material and Methods Statistical analysis Study site Prey volumes were estimated by using an ellipsoid formula (Biavati The study was carried out in a 10,500ha reserve named Estação et al. 2004): Ecológica de Águas Emendadas (Fig. 1), located in Planaltina municipal- V= 4/3 * π * w2/4 * l/2, ity, Distrito Federal, Brazil. (Marinho-Filho et al.1998). Vegetation is where w is the prey width and l is the prey length. The fre- typical for the Cerrado biome, including the cerrado sensu stricto, quency, numeric and volumetric percentage of each prey category open cerrado, ‘campo sujo’ (open fields, with scattered trees and were also calculated. To determine the relative importance index bushes), ‘veredas’ (wet fields with buriti [Mauritia flexuosa] palms) (Biavati et al. 2004) of each prey category in the diet, we used the fol- and open fields. The climate is tropical Aw in Koppen classification lowing formula: (Ribeiro & Water 1998), with a dry and cold season in the winter RII = (F% + N% + V%)/ 3, (from March to September), and a rainy and warm season in the where F% is the occurrence percentage, N% is the numeric per- summer (from October to February) (Ribeiro & Marinho-Filho 2005). centage, and V% is the volumetric percentage. Prey categories im- Samples were taken in Lagoa Bonita (15o35’22’’S; 47o41’49’’W, 960m portance values to the total stomach sample for each species were a.s.l.), a natural lagoon with margins covered by open fields and taken. We calculated the niche breadth for each species for abun- bush fields. dance items’ data by using the Simpson’s Index (Simpson 1949): B= 1 / ∑ni=1 pi2, Sample Methods where i is the resource category, p is the resource i category pro- All specimens were collected with 20 pitfall traps (iron buckets; 20L) portion, n is the total number of categories. The diet overlapping be- placed along the lagoon margin and distant five meters from each tween each pair of species was calculated by using the niche overlap other and five meters from the lake, during the rainy and the warm equation (Pianka 1973): seasons, from September 1992 to March 1993. Pitfalls were opened α= ∑ U1j x U2j / ∑ (U1j)2 x (U2j)2, and kept capturing frogs from the sunset to the end of the night where α is the niche overlap index, U1j is the j resource use by sampling (around 01:00h), being active for six to seven hours each the species 1, U2j is the j resource use by the species 2. Next, we used night. This procedure was necessary since our field work was not the niche overlap module from the ‘EcoSim’ program (version 7.0) always conducted during consecutive nights, avoiding that frogs (Gotelli & Entsminger 2003), with 1,000 randomizations. Null hy- spent day time inside uncovered traps to preventing that they dies pothesis is that the observed variance in the niche overlap among from insolation. The used iron buckets have very effective lids that species is the same as expected by chance. If assemblage is competi- prevented capture when the traps were not attended. This tively structured by diet, the observed variance niche overlap for the sampling method avoid that frogs had time enough to digest previ- prey type abundance is less than expected by chance. We conducted ously consumed preys (see Johnson & Christiansen 1976, but also the overlap analysis by using RA2 and RA3 algorithms (Gotelli & comments in Costa et al., 2008 for small lizards) or prey upon the in- Entsminger 2003). vertebrates present in buckets, due to the capture stress (see below). To estimate the prey category richness in the diet of each species, We collected all frogs inside pitfalls at the end of the night sampling, we made rarefaction curves based on samples with the software Es- removing, weighing and fixing every frog collected. After capture, timateS8.2.0 (Colwell 2009), with 1,000 random permutations with no the specimens were killed with lydocaine application, then fixed in reposition. In this analysis, stomachs were treated as samples and 10% formalin solution, and, later, conserved in alcohol 70% to pre- prey types were richness categories (curves were made for each spe- serve their stomachs’ content. We have not collected the inverte- cies). The observed richness was calculated by the Mao Tao algo- brates captured in the pitfalls, thus making any electivity analysis rithm. We used the Chao 1 algorithm to estimate the total richness, impracticable. The morphometric variables used in the analysis were which was extrapolated beyond the sample data limit (Colwell 2009). the snout-vent length (SVL), the head length (HL), the head width We compare the estimated and observed indexes for stomach-based (HW), and the head height (HH), taken with a digital caliper (0.01 rarefaction (for each species) and for prey abundance curves (for dif- ferent species) by using Z tests (Lehtonen & Malmberg 1999). These curves were produced to evaluate the effectiveness of our sampling Diet of Cerrado terrestrial frogs 137 to describe species diets, and to compare differences in species diet Appendix Tables 1 to 6. diversity, respectively (Gotelli & Colwell 2001). Diversity estimators indicated a similar observed and We used a grouping analysis by applying the UPGMA (Un- expected richness For P. centralis diet, suggesting that no dif- weighted Pair Group Method with the arithmetic mean), which is a ferent items can be added in its diet with more samples. For simple agglomerative (bottom-up) hierarchical clustering method, in MVSP software, with niche overlapping values among species as the P. cuvieri, and E. cesarii, although the estimators indicated an distance scale. This analysis groups the categories in a hierarchical expected richness bigger than the observed, we did not find way, so the similarity in diet among species becomes evident. differences between the curves (z = -0.265; p = 0.795 and z = - We performed multiple regressions to verify the relationship be- 0.468; p = 0.638, respectively), suggesting that our data de- tween the prey length and morphometric data. The presence of out- scribe satisfactorily the diet for these two species (Appendix liers was checked in the variables by observing residual graphs of Figs 1 and 2). the regression. Variables were transformed into the logarithm scale, Although Physalaemus spp. and Elachistocleis cesarii con- when necessary, to meet the analysis assumptions. The model sig- sumed the similar number of prey items, the ways that they nificance was tested with ANOVA, by using the stepwise regression to select independent variables that best contributed to the model. gathered these items were strongly different. Whereas P. cen- Multiple regressions were made aiming to verify the relation- tralis and P. cuvieri presented the same number of prey cate- ship among the prey volume cubic root and morphometric data. The gories after having ingested 500 prey individuals, E. cesari volume was transformed to cubic root to turn the relation between ingested significantly less prey categories than Physalaemus dependent and independent variables linear. Variables were trans- for the same number of individuals prey ingested (z = -16.75; formed to the logarithm scale when necessary to meet the analysis p < 0.0001), showing a more specialized diet (Fig. 2A). How- assumptions. Model significance was tested by using ANOVA. We ever, for L. latrans, L. furnarius and L. fuscus, the species with made a stepwise regression to select independent variables that best contributed to the model. smaller samples, the diversity estimators indicated the ex- Diet data matrix was transformed to the logarithm scale. We pected richness bigger than the observed (Fig. 2B), affecting conducted a model selection in the morphometric data matrix to some interpretations of our analyses. On the other hand, de- highlight the variables that best contributed to the model and re- spite the smaller sampling size, Leptodactylus spp. presented moved the multicollinearity effect. All assumptions of number of very diverse diets, even consuming much less individual cases vs. variables, multicollinearity and singularity in independent prey categories (Fig. 2B). However, the small numbers of variables, normality, linearity and homoscedasticity of residuals analysed stomachs do not allow reliable comparisons be- were checked. All analyses were performed in software R v.2.11.1 (R tween species. Core Team 2010), the alpha significant level for all test assumptions was p < 0.001. Niche overlapping We found an observed variance of 0.079 in niche overlap- Results ping for the assemblage, whereas the average simulated variance was 0.042. The observed overlap was bigger than Assemblage diet richness the expected by chance. Group analysis of niche overlap Six species were captured in the traps, being Elachistocleis ce- among species (Fig. 3) found the larger overlap between P. sarii (Ntotal=172), Leptodactylus fuscus (Ntotal = 10), L. furnarius centralis and P. cuvieri, whereas Leptodactylus furnarius had

(Ntotal = 17), L. latrans (Ntotal = 21), Physalaemus centralis (Ntotal the smaller niche overlap relative to other species.

= 297), and P. cuvieri (Ntotal = 112). The diet of Elachistocleis ce- sarii was composed mainly of ants, winged and Relationship between the prey length (PL) soldiers. The diet of Leptodactylus fuscus was com- and the frog morphology posed mainly of ants and cockroaches. The diet of L. fur- We applied the multiple regression initial model (PL ~ narius was dominated by , winged termites and crick- SVL+HL+HW+HH) by using frog SVL and head measure- ets, whereas the diet of L. latrans was composed mainly of ments as independent variable for explaining the prey beetles, ants and crickets, although one ingested mouse ac- length for all species. For P. centralis the multiple regression counted for 21% of the frog relative importance index, due to model was significant (F= 11.32; P<0.001). After applying a the prey volume. The diet of Physalaemus centralis was domi- stepwise regression (Table 2), we found the best model with nated by winged termites, ants, and termites (mainly work- two independent variables (PL ~ HW+HH), which explained ers), whereas the diet of P. cuvieri was dominated by winged a better prey length (R2= 0.211; P < 0.001). The initial model termites, non-reproductive termites (mainly workers), and for P. cuvieri was significant (F= 7.62; P<0.001), and the best ants. We summarized the diet of six species in Table 1 and model (Table 2) showed two independent variables (PL ~

Table 1. Summary of the diet of six species of frogs. EE = empty stomachs, VM = vegetal material, TI = total of items found (number of prey categories), IA = mean of items by stomach and standard deviation, PR = prey categories richness and standard deviation, M Vol. = prey volume mean in mm3 and the standard deviation, NB = niche breadth.

Species E. E. V. M. T. I. I. A. P. R. M. Vol. N. B. Physalaemus centralis (N=297) 85 (28.31%) 27 (9.06%) 1342 (11) 27.07 ± 30.54 3.5 ± 1.87 2.66 ± 0.38 3.311 Physalaemus cuvieri (N=112) 33 (29.46%) - 355 (9) 13.12 ± 11.03 2.5 ± 1.29 0.96 ± 0.14 3.486 Elachistocleis cesarii (N=172) 9 (5.22%) - 5686 (12) 67.84 ± 65.03 2.5 ± 1.29 2.88 ± 0.33 2.768 Leptodactylus latrans (N=21) 5 (20.85%) 1 (4.5%) 48 (10) 4.14 ± 2.41 2 ± 1 10.05 ± 2.88 4.902 Leptodactylus furnarius (N=17) 4 (20%) 1 (5.88%) 31 (10) 3.25 ± 2.63 2.5 ± 1.29 6.19 ± 0.77 6.72 Leptodactylus fuscus (N=10) 4 (22.22%) - 35 (5) 9 ± 11.36 1.5 ± 0.71 2.23 ± 1.16 1.631 138 T. Marques-Pinto et al.

Figure 2. Rarefaction curves based on diet items of A: Physalaemus centralis, Physalaemus cuvieri, and Elachistocleis cesarii; B: Leptodactylus latrans, Leptodactylus furnarius, and Leptodactylus fuscus.

Table 2. Stepwise multiple regression analysis among the prey length and selected morphometric variables of Physalae- mus centralis, Physalaemus cuvieri and Elachistocleis cesarii. SVL = snout-vent length; HW = head width; HH = head height; HL = length.

Species Intersection SVL HW HH HL R2 P Physalaemus centralis -3.310 - 2.721 -0.614 - 0.211 <0.0001 Physalaemus cuvieri -10.345 4.257 - -1.347 - 0.345 <0.0001 Elachistocleis cesarii -0.363 1.197 -1.292 - 0.042 0.048

Figure 3. Group analysis (UPGMA method) based on diet niche overlaps among assemblage species.

Figure 4. Relationship between the prey length and 2 SVL+HH), explaining a better prey length (R2= 0.345; the snout- length in Leptodactylus latrans (R = 0.79; P P<0.001). The initial model of multiple regression was not < 0.0001), y= 2.563x + 1.207, variables transformed to logarithm scale. significant only for E. cesarii (F= 1.71; P = 0.50), and the best model showed two independent variables (PL ~ SVL+HW) that explained the prey length (R2= 0.042; P= 0.048) (Table 2). prey volume cubic root. In the stepwise regression the best Few of the variances in prey length variable were explained model was a linear regression ((VOL)^(1/3) ~ HH), which by frog morphology in Leptodactylus latrans. For L. latrans, explains the prey volume (R2= 0.061; P= 0.001; Fig. 5A), but a the initial model of multiple regression was significant (F= small variance in the volume was explained by the head 9.58; P= 0.003), but no independent variable explained the height. The initial model was significant for P. cuvieri (F= prey length ingested. The stepwise regression found the best 5.079; P= 0.001). The volume of prey was explained by two model as a linear regression (PL ~ SVL) that explains a better independent variables ((VOL)^(1/3) ~ SVL+HH) in stepwise prey length (R2= 0.791; P< 0.001; Fig. 4). regression (R2= 0.269; P= 0.0005; Table 3). The initial model for E. cesarii was not significant (F= 0.27; P = 0.894), and any Relationship between prey volume (VOL) model explained the relationship by stepwise regression x frog morphology (R2= 0.008; P= 0.894) due to a low variance in the volume of The initial model was significant for P. centralis (F= 3.07; P= prey compared to morphometric variables. The initial model 0.018). Otherwise, no independent variable explained the for L. latrans was not significant (F= 1.351; P= 0.324), and any

Diet of Cerrado terrestrial frogs 139

Figure 5. A: Relationship between the prey volume cubic root and the head height in Physalaemus centralis (R2= 0.079; P= 0.0002) y= -1.25x +1.212, variables in natural logarithm. B: Relationship between the prey volume cubic root and the snout-vent length in Leptodactylus latrans (R2= 0.367; P= 0.022) y=0.769x + 0.222, with variables transformed to logarithm scale.

Table 3. Stepwise multiple regression analysis among the prey vol- esting observations were made. The capture of cursorial spi- ume cubic root and selected morphometric variables of Physalae- ders (including a wide range of size classes) are common in mus cuvieri. SVL = snout-vent length, HL = head length, and HH = pitfalls; however, spiders were almost absent in frogs diets. head height. Therefore, we strongly suggest that similar studies to the one Coefficients Estimative Standard error t value P value conducted by Costa et al. (2008) should be performed with Interception -2.321 0.936 -2.479 0.0162 frogs. SVL 1.720 0.389 4.419 < 0.0001 Pitfall traps are commonly used in herpetological field HL -0.551 0.370 -1.490 0.142 studies and provided relevant data for several studies. In HH -0.479 0.216 -2.220 0.030 fact, pitfalls are often used in dietary studies of terrestrial or semi-aquatic frogs (e.g. Moreira & Barreto 1996; Cogăl- niceanu et al., 2001; Maneyro et al., 2004), and we are not independent variable explained the volume of prey. How- convinced that these sets of data are so biased that cannot be ever, in the stepwise regression the best model found was a used to describe a species‘ diet. In our present study, how- linear regression ((VOL)^(1/3) ~ SVL) that explained the ever, we collected all frogs inside buckets after one night 2 volume of prey ingested (R = 0.367; P= 0.021; Fig. 5B). sampling, with frogs lasting less than seven hours inside pit- falls. This procedure is an easy way to avoid prey digestion and to minimize prey consumption during long time lasting Discussion inside traps.

Some precautions should be taken when using frogs col- Assemblage diet richness lected in pitfalls for dietary studies. The concerns are mainly Anuran species can be situated in a continuum based in the in the fact that frogs can digest prey quickly and that frogs proportions of two “types” of prey in diet, composed by ar- can feed on arthopods inside the buckets. Prey digestion in thropods of slow movements and soft bodies, especially frogs can take six to eight hours (Johnson & Christiansen termites, cockroaches, crickets and spiders and those frogs 1976; Loman 1979). This period, however, can likely be af- eating all other prey, containing characteristically moving fected by the prey type, prey size, environmental tempera- rigid-bodied arthropods, such as ants, bettles and hemipter- ture and predator‘s age and size (p.ex. Lima 1998; Newman ans (Toft 1980, 1981). Elachistocleis cesarii and Physalaemus 1999). However, there is no empirical evidence of differ- spp. consumed termites and ants in great proportions, as ences between the diet of frogs captured in pitfalls and those previously found in literature (Santana & Juncá 2007, Rosa et captured by other methods (such as active search). al. 2002, Santos et al. 2004, Berezategui et al. 2007, López et On the other hand, Costa et al. (2008) did not find differ- al. 2007), but also took other prey categories in smaller pro- ences in the diet of trapped and manually collected lizards, portions, including hemipterans, spiders, dipterans and and similar results are likely to be observed in frogs. Even if lepidopterans, but they presented different strategies of terrestrial frogs are preying inside traps, they are exposed to feeding (Fig. 2). Although Elachistocleis cesarii and Physalae- the most common prey fauna found under natural condi- mus spp. consumed similar number of prey categories, they tions. Moreover, the stress of being captured, often in a trap explored these resources in very different way (i.e. presented containing other stressed individuals and sometimes with different feeding strategies), and can be considered as both some amount of water inside the bucket (personal observa- specialist and opportunist predators. Although Physalaemus tion), can help avoid the putative ingestion of some artho- spp. and E. cesarii preyed mainly on termites, Physalaemus pods eventually captured in the same pitfall. Although we spp. fed mainly on winged individuals, whereas E. cesarii ate did not collect arthropods captured by pitfalls, some inter- basically workers and soldiers, and a large number of ants. 140 T. Marques-Pinto et al.

Due to small number of analysed stomachs, our results tire year (Pinheiro et al. 2002). All these items were found in on the diet of the three species of Leptodactylus spp. deserve the stomach of anurans species. caution. However, these species had the smaller number of We registered that E. cesarii ingested a substantial num- prey per stomach, although prey with higher volume, ingest- ber of ants, workers and soldiers of termites. Elachistocleis ing proportionally less termites than Elachistocleis cesarii and spp. often gets its prey (Isoptera and Formicidae) inside Physalemus spp., Leptodactylus spp. also caught mobile items nests (Berazategui et al.2007, Solé et al.2002, López et al. such as Coleoptera, Diptera, Hemiptera, Orthoptera, and 2007), such as E. cesarii in our study, which highlights a puta- specially Blattaria. Leptodactylus species often caught slow- tive effect of phylogenetic conservatism on species’ diets moving and mobile prey, including Araneae, Chilopoda, within the genus. Elachistocleis spp. are often found inside Coleoptera, Diplopoda, Diptera, Hemiptera, Hymenoptera, termite mounds in Cerrado, but we do not have fortuitous Isopoda, Lepidoptera, Mollusca, Odonata, and Orthoptera observations of Elachistocleis spp. inside nests. However, (Rodrigues et al. 2004, Solé et al. 2009). Leptodactylus latrans the termite consumption among E. cesarii and by the two was not considered a specialist in ants and termites (Struss- Physalaemus is different. Elachistocleis cesarii probably feeds mann et al. 1984), and L. labyrinthicus and L. latrans are gen- on their prey inside nests (anthills and termitaries), besides eralists and opportunists (França et al. 2004). Albeit frogs’ of getting shelter in these microhabitats, with no damage by diet is habitat-dependent, foraging strategies can influence ant toxin, being sedentary predators (Berezategui et al. 2007, their diet (Kovács et al. 2014). Despite being their diet domi- Solé et al. 2002, López et al. 2009). However, in these nests, nated by arthropods, L. latrans and L. labyrinthicus often con- soldier and worker termites are more easily found, pre- sume small vertebrates, including anurans that can have dominating in the E. cesarii diet. On the other hand, Phy- significant importance on species diets (Teixeira & Vrci- salaemus spp. are more active predators (Huey & Pianka bradic 2003, França et al. 2004). We recorded the ingestion of 1981, Rosa et al. 2002), getting prey out of nests where re- a mouse (Rodentia, Cricetidae) by one individual of L. la- productive termites are more abundant. trans. This indicated that vertebrate ingestion by large Lepto- dactylus may be opportunistic and these prey represent great Relationship between prey length and frog morphology relevance in diet composition and volume. In our study, the prey length was related to the frog mor- phology, except for E. cesarii. Despite that the prey size is re- Niche overlapping lated with frog body size in this assemblage, there is no shift The overlap observed was higher than expected by the on diet composition among species with variation in differ- chance, especially between P. centralis and P. cuvieri. This ent species’ morphometric values. Still, E. cesarii caught scenario points to no structure in the assemblage based on small size prey, such as other ant specialists, and the prey resource partitioning, which is a similar result to what was size was not related with its body or head sizes. Ant special- found in other studies with terrestrial frogs (Ernst & Rodel ists capture smaller prey than their jaw widths allow (Toft 2006). Herein, all species have several types of items in com- 1981). Physalaemus centralis and P. cuvieri took prey of aver- mon in their diets, such as ants and termites eaten by almost age size, some of which were limited by frogs’ oral apparatus. all species studied, which suggests a convergence to same The difference in termite use by Physalaemus spp. (mainly by types of prey instead of feeding niche segregation. Winged reproductive termites and ants) and E. cesarii (large number termites, which are very common in the beginning of the of ants and termite workers and soldiers) suggests that the rainy season in Cerrado, represent most of Isoptera prey use of different foraging environments is more relevant to proportion consumed by Physalaemus in our study. Termites the diet partitioning in than morphology (Bog- are probably the predominant order of insects on soils from dan et al. 2013). Generalists tend to capture size-related prey, Central Brazil, either in richness, abundance, and/or bio- but the relationship is not significantly different from spe- mass (Negret & Redford 1982). This may explain why ter- cialist guild (Toft 1981). In our study, L. latrans (generalist mites, despite their small individual size, were important species) showed relationship between the prey size and the items in five of six studied species. Isoptera seem to be a body size as expected for this guild; the prey length was re- very important prey item for Physalaemus (Santana & Juncá lated with the body size in L. latrans (Maneyro et al. 2004) 2007), and we casually observed Physalaemus cuvieri feeding and in other species in the genus (Labanick 1976, Woolbright on several termites at the entrances of mounds during the & Stewart 1987, Donnelly 1991, Lima & Moreira 1993, Lima rainy season, when flying reproductive termites were leav- 1998, Lima & Magnusson 1998, 2000), but the variation can ing the nests. be related to (or highlighted by) the ontogeny. Reproductive termites to mate and are abundant in the environment, being easily selected by predators (Noirot Relationship between the prey volume x frog morphology 1989). Environmental characteristics and seasons are also The relationship between the prey volume ingested and the important on anurans diet (Born et al. 2010). Because we col- frog morphology was different among species. Any inde- lected anurans only during the rainy season, this might have pendent variable explained the prey volume ingested by P. affected the availability of resources for the species, since centralis; however, the head height explained the prey vol- some types of food items were more abundant in the envi- ume with much little variance in the best model. The volume ronment, being easily caught, and eventually contributed to of prey taken by P. cuvieri was explained by the effect of the the high niche overlap among species. In Cerrado, Isoptera body length and the head height, whereas the body length reach their peak of abundance in the beginning of the rainy explained the volume of prey ingested by Leptodactylus la- season, whereas Coleoptera and Hemiptera are abundant trans in the best model. 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+ Appendix - 6 Tables and 2 Figures - 3 pages

144 T. Marques-Pinto et al.

Appendix - Table 1. Diet of Elachistocleis cesarii (N= 172) in Águas Emendadas Ecological Station, CentralBrazil. N= prey category number; N% = relative prey number; F= item frequency; F% = relative item frequency; V= item volume (mm3); V% = relative item volume; RII = relative importance index (RII = N%+F%+V%/3).

Prey category N N% F F% V V% RII Isoptera (winged) 7 0.001 5 0.02 246.35 0.01 0.01 Isoptera (worker) 1773 0.31 53 0.22 13652.51 0.62 0.38 Isoptera (soldier) 1239 0.22 34 0.14 3839.81 0.17 0.18 Formicidae 2646 0.46 130 0.55 4372.97 0.20 0.40 Coleoptera 5 0.0009 5 0.02 20.94 0.0009 0.008 Hemiptera 1 0.0002 1 0.004 1.57 0 0.001 Diptera 1 0.0002 1 0.004 0.52 0 0.001 Araneae 2 0.0003 2 0.008 12.57 0.0006 0.003 Mollusca 1 0.0002 1 0.004 1.05 0 0.001 Acari 4 0.0007 3 0.01 3.66 0.0001 0.004 Lepidoptera 5 0.0009 1 0.004 6.54 0.0002 0.001 Trichoptera 2 0.0003 1 0.004 2.09 0 0.001 Total 5686 1 237 1 22160.60 1 1

Appendix - Table 2. Diet of Leptodactylus latrans (N= 21) in Águas Emendadas Ecological Station, Central Brazil. N= prey category number; N% = relative prey number; F= item frequency; F% = relative item frequency; V= item volume (mm3); V% = relative item volume; RII = relative importance index (RII = N%+F%+V%/3).

Prey categories N N% F F% V V% RII Isoptera (worker) 4 0.08 1 0.04 58.64 0.003 0.04 Formicidae 16 0.33 6 0.21 195.83 0.01 0.19 Coleoptera 9 0.19 6 0.21 6260.67 0.32 0.24 Hemiptera 2 0.04 2 0.07 233.00 0.01 0.04 Araneae 1 0.02 1 0.04 8.38 0.0004 0.02 Orthoptera 10 0.21 6 0.21 730.94 0.04 0.15 Blattaria 3 0.06 3 0.11 158.39 0.008 0.06 Opiliones 1 0.02 1 0.04 23.56 0.001 0.01 Diplopoda 1 0.02 1 0.04 117.81 0.006 0.02 Rodentia 1 0.02 1 0.04 11461.99 0.59 0.21 Total 48 1 29 1 19249.21 1 1

Appendix - Table 3. Diet of Leptodactylus furnarius (N= 17) in Águas Emendadas Ecological Station, Central Brazil. N= prey category number; N% = relative prey number; F= item frequency; F% = relative item frequency; V= item volume (mm3); V% = relative item volume; RII = relative importance index (RII = N%+F%+V%/3).

Prey categories N N% F F% V V% RII Isoptera (winged) 6 0.19 4 0.15 249.76 0.36 0.23 Formicidae 3 0.10 3 0.11 9.95 0.01 0.07 Hymenoptera 1 0.03 1 0.04 14.14 0.02 0.03 Coleoptera 7 0.23 5 0.19 286.93 0.41 0.28 Hemiptera 1 0.03 1 0.04 50.26 0.07 0.05 Diptera 4 0.13 3 0.11 8.70 0.01 0.09 Orthoptera 5 0.16 5 0.19 43.98 0.06 0.14 Symphyta 1 0.03 1 0.04 14.66 0.02 0.03 Blattaria 2 0.06 2 0.08 9.82 0.01 0.05 Siphonaptera 1 0.03 1 0.04 8.38 0.01 0.03 Total 31 1 26 1 696.58 1 1

Diet of Cerrado terrestrial frogs 145

Appendix - Table 4. Diet of Leptodactylus fuscus (N= 10) in Águas Emendadas Ecological Station, Central Brazil. N= prey category number; N% = relative prey number; F= item frequency; F% = relative item frequency; V= item volume (mm3); V% = relative item volume; RII = relative importance index (RII = N%+F%+V%/3).

Prey categories N N% F F% V V% RII Isoptera (winged) 1 0.03 1 0.11 18.85 0.05 0.06 Isoptera (worker) 1 0.03 1 0.11 6.28 0.02 0.05 Formicidae 27 0.77 4 0.44 87.96 0.24 0.49 Coleoptera 2 0.06 2 0.22 42.93 0.12 0.13 Blattaria 4 0.11 1 0.11 207.34 0.57 0.26 Total 35 1 9 1 363.38 1 1

Appendix - Table 5. Diet of Physalaemus centralis (N=297) in Águas Emendadas Ecological Station, Central Brazil. N= prey category number; N% = relative prey number; F= item frequency; F% = relative item frequency; V= item volume (mm3); V% = relative item volume; RII = relative importance index (RII = N%+F%+V%/3).

Prey category N N% F F% V V% RII Isoptera (winged) 520 0.39 82 0.32 17709.94 0.76 0.49 Isoptera (worker) 273 0.20 25 0.10 2400.50 0.10 0.13 Isoptera (soldier) 64 0.05 22 0.09 597.10 0.03 0.05 Formicidae 397 0.30 67 0.26 1381.38 0.06 0.21 Hymenoptera 18 0.01 8 0.03 356.44 0.01 0.02 Coleoptera 43 0.03 28 0.11 693.05 0.03 0.06 Hemiptera 6 0.004 5 0.02 26.703 0.001 0.008 Diptera 2 0.001 2 0.007 16.75 0.0007 0.003 Araneae 12 0.008 10 0.04 29.71 0.001 0.02 Mollusca 3 0.002 3 0.01 11.58 0.0005 0.005 Lepidoptera 4 0.002 4 0.02 30.89 0.001 0.007 Total 1342 1 256 1 23254.06 1 1

Appendix - Table 6. Diet of Physalaemus cuvieri (N=112) in Águas Emendadas Ecological Station, Central Brazil. N= prey category number; N% = relative prey number; F= item frequency; F% = relative item frequency; V= item volume (mm3); V% = relative item volume; RII = relative importance index (RII = N%+F%+V%/3).

Prey category N N% F F% V V% RII Isoptera (winged) 94 0.26 29 0.33 2852.37 0.73 0.44 Isoptera (worker) 117 0.33 14 0.16 535.44 0.14 0.21 Isoptera (soldier) 31 0.09 10 0.11 50.26 0.01 0.07 Formicidae 65 0.18 14 0.16 133.52 0.03 0.13 Hymenoptera 9 0.02 3 0.03 19.63 0.005 0.02 Coleoptera 33 0.09 12 0.14 186.01 0.05 0.09 Hemiptera 1 0.003 1 0.11 23.56 0.006 0.007 Diptera 3 0.008 2 0.02 25.66 0.006 0.01 Lepidoptera 2 0.006 2 0.02 66.76 0.02 0.01 Total 355 1 87 1 3893.22 1 1

146 T. Marques-Pinto et al.

Appendix - Figure 1. Rarefaction curves based on analysed Appendix - Figure 2. Rarefaction curves based on analysed stomachs stomachs for Physalaemus centralis (A), Physalaemus cuvieri (B) for Leptodactylus latrans (A), Leptodactylus furnarius (B) and Leptodac- and Elachistocleis cesarii (C). tylus fuscus (C).