BIODIVERSITY RESEARCH Long-term isolation and endemicity of Neotropical aquatic insects limit the community responses to recent amphibian decline Cesc Murria1,2*, Amanda T. Rugenski3, Matt R. Whiles3 and Alfried P. Vogler1,2 1Department of Life Sciences, Natural History Museum, London SW7 5BD, UK, 2Department of Life Sciences, Imperial College London, Silwood Park Campus, Ascot SL5 7PY, UK, 3Department of Zoology and Center for Ecology, Southern Illinois University, Carbondale, IL, USA *Correspondence: Cesc Murria, Departement de biologie, Universite de Sherbrooke, Sherbrooke, Quebec J1K 2R1, Canada. E-mail: cmurria@ub.edu ABSTRACT Aim Neotropical highland streams have shown diminished ecosystem function- ing after amphibian extirpation infected by the chytrid fungus Batrachochytrium dendrobatidis. The loss of amphibians could affect communities of aquatic insects co-occurring in these streams in various ways. We examined patterns of species and genetic diversity of these communities and their evolutionary his- tory along the chytrid expansion gradient to elucidate potential community responses. Location Six streams over a 320-km transect in Panama affected by chytrid expansion from west to east for up to 14 years, and two apparently chytrid-free streams in the east. Methods Patterns of a- and b-diversity were investigated at three hierarchical levels: genus, species and haplotypes. Genus identification was based on mor- phology, and putative species were inferred by grouping the DNA barcodes (749 cox1 sequences) with the GMYC method on all collected individuals of Ephemeroptera, Trichoptera, Coleoptera and Plecoptera. Results A total of 96 genera in 43 families (9 orders) of insects were encoun- tered. Genus-level a-diversity was higher in the easternmost streams, possibly due to a separate biogeographical history, whereas b-diversity was constant along the chytrid expansion gradient. Community DNA barcoding resulted in 426 cox1 haplotypes and 154 putative species, most of them limited to single sites. High b-diversity along the gradient at both species and haplotype levels argues against community homogenization by migration in the wake of amphibian declines. In contrast, phylo-b-diversity was low, indicating commu- nity similarity at deep levels. Main conclusions Aquatic insect communities in this region are influenced by long-term limited dispersion that generated high endemicity. The pattern per- sists mostly unperturbed after disease-driven amphibian declines; hence, if indeed insects fill the niches vacated by tadpoles, they would originate from local communities rather than immigration. Given the unique evolutionary his- tory and physical isolation of local assemblages, the ecosystem deterioration carries the risk of losing unique diversity. Keywords Batrachochytrium dendrobatidis, community DNA barcoding, genetic diversity, SGDC, species diversity, stream ecology. DOI: 10.1111/ddi.12343 ª 2015 John Wiley & Sons Ltd http://wileyonlinelibrary.com/journal/ddi 1 Diversity and Distributions, (Diversity Distrib.) (2015) 1–12 A J ou rn al o f Co ns er va ti on B io ge og ra ph y D iv er si ty a nd D is tr ib ut io ns INTRODUCTION The accelerated rate of species extinction resulting from human activities is closely associated with the loss of ecologi- cal function (Hooper et al., 2005; Cardinale et al., 2006). However, the interrelationships of species extinctions, altered community composition and abiotic environmental changes are complex and hamper our ability to predict the effects of biodiversity loss (Vaughn, 2010). Current empirical approaches have focused mainly on microcosms to examine effects of diversity changes on system-scale functional pro- cesses such as nutrient recycling, primary production and organic matter dynamics (but see Atkinson et al., 2013; Whiles et al., 2013). However, experimental studies con- ducted over short periods on local communities may not reflect broader evolutionary and ecological processes such as the possible local loss of intraspecific genetic diversity and the compensation by gene flow across metapopulations. Moreover, the time delays between species losses and their impacts on altered ecosystems may exceed predictions based on small-scale experiments (Duffy, 2009). Similarly, experimental manipulations generally do not account for potential new colonizers with similar functional roles that may compensate for the species loss. Amphibian populations world-wide are experiencing mas- sive declines, many of which are linked to Batrachochytrium dendrobatidis (Bd), a pathogenic fungus that causes chytridi- omycosis (Lips et al., 2006). Bd thrives in cool, humid con- ditions, making pristine high-elevation sites in the tropics, where endemism is high, most vulnerable. Pathogen preva- lence is lower, and amphibian populations often remain sta- ble at warmer lowlands (Bustamante et al., 2010; Becker & Zamudio, 2011). Studies in Central America have docu- mented a steady advance of Bd from west to east in Panama, with massive die-offs of highly diverse, abundant amphibian communities in high-altitude streams (Lips et al., 2005, 2006). For instance, the arrival of Bd coincided with the extirpation of 40% of taxonomic diversity and 33% of the phylogenetic diversity of frogs at one site in Panama (Craw- ford et al., 2010). The ongoing Bd wave in Panama provides a chronosequence of sites affected since 1996 to chytrid-free streams (Fig. 1a). This situation represents a unique natural (a) (b) (c) (d) Comm. GMYC sp. cox1 hapl. Figure 1 (a) Distribution of sampling sites across Panama and diversity patterns after amphibian declines across the longitudinal gradient for (b) richness of genera within communities, (c) GMYC species richness and (d) cox1 haplotypes richness. Blue circles are total richness and red circles are richness after rarefaction based on Chuncanti, except rıo Blanco (black circle). Lines indicated the best fit for a local polynomial regression for the rarefied richness. 2 Diversity and Distributions, 1–12, ª 2015 John Wiley & Sons Ltd C. Murria et al. experiment for testing fundamental questions about the extirpation of a major trophic group and associated changes in ecosystem function and their effects on unrelated lineages. Larval amphibians feed on algae (grazers) and detritus and may act as ‘ecosystem engineers’ driving nutrient recycling because of their high abundance and consumption rates (Flecker et al., 1999; Whiles et al., 2006). Their massive declines have altered ecosystem function through changes in nutrient uptake and cycling efficiency, resource availability and overall biological activity (Whiles et al., 2006, 2013; Colon-Gaud et al., 2009; Rugenski et al., 2012). These streams are also occupied by diverse communities of aquatic insects, including some that could replace tadpoles ecologi- cally because they have similar functional roles, such as vari- ous Ephemeroptera, many of which are grazers, while other species may also be affected in various direct and indirect ways by the loss of amphibians (Colon-Gaud et al., 2010a). Previous local-scale studies examining the ecological effects of amphibian extirpation on the macroinvertebrate commu- nities comparing pre- and post-decline conditions found subtle shifts in species composition, biomass and secondary production (Colon-Gaud et al., 2010a,b; Whiles et al., 2013), whereas another study conducted over longer periods showed a reduction in macroinvertebrate richness by ~40% as time progressed (Rantala et al., 2015). However, all previ- ous studies assessed changes in macroinvertebrate communi- ties at local sites and used coarse identification to genus because of the difficulties with species-level taxonomy. This limits assessment of the precise species composition and its variation among affected communities and therefore does not permit the evaluation of local communities in the con- text of larger-scale patterns and the evolutionary history of the encountered lineages. Here, we sampled previously studied sites together with additional streams for a broader assessment of the variation of aquatic insect communities affected by the chytrid disease wave. The lack of an established taxonomy for insects form- ing these local assemblages may be overcome using mito- chondrial DNA (mtDNA) variation in the ‘barcode’ marker cytochrome C oxidase I (cox1). Clusters of sequence varia- tion in cox1 approximate the entities traditionally recognized as Linnaean species in many invertebrates (Hebert et al., 2003). This permits rapid assessment of taxonomically com- plex species assemblages from multiple sites and various life stages by grouping individuals using quantitative procedures (T€anzler et al., 2012). Moreover, intraspecific variation of cox1 is commonly used to determine genetic diversity and assess gene flow among populations, while interspecific varia- tion is used to infer their evolutionary histories (Avise, 2009). Thus, analysing the nucleotide variation of the cox1 gene for entire communities does not only serve to identify species, but also integrates this information with their evolu- tionary differentiation and current gene flow, linking pro- cesses at different temporal scales (Marske et al., 2013; Joly et al., 2014). Community DNA barcoding therefore has great potential for inferring population dynamics, phylogeography, macroecological patterns and evolutionary history of diverse groups (Hajibabaei et al., 2007; T€anzler et al., 2012) and for predicting large-scale biodiversity patterns using local genetic inventories (Papadopoulou et al., 2011). The simultaneous analysis of taxonomy, population genet- ics and evolution of species assemblages may lead to a more complete understanding of processes affecting the persistence and turnover at various time-scales and the potential effects of tadpole loss on aquatic insects. Moreover, understanding the evolutionary mechanisms and current population dynam- ics should be valuable for assessing the fragility of tropical macroinvertebrate communities to perturbation and their response to a rapidly changing environment. Species compo- sition and their evolutionary and biogeographical history are likely influenced by barriers to dispersal among streams and by the vagility of species, along with the particular functional roles of each species. The biogeography of aquatic insects in Central America remains relatively unexplored, but high diversity, endemicity and turnover among mountain ranges are expected based on the stability hypothesis of habitats, which posits that weak climatic fluctuations during the Pleis- tocene in the tropics promoted the persistence of isolated populations and allopatric speciation (Fjeldsa et al., 1999; Cadena et al., 2011; Garcıa-Lopez et al., 2013). Similarly, in temperate regions, the population persistence in permanent streams has led to higher endemism and smaller geographical species ranges for running (long-term stable habitat) than standing (instable habitat) water species (Ribera et al., 2003; Hof et al., 2006). Given the complexity of factors affecting the distributions of aquatic insects and their potential responses to amphibian declines, we assessed the diversity and turnover using a similar analytical framework at three hierarchical levels from the genus level to intraspecific genetic differentiation, which provides a wider view of the importance of the historical and contemporary factors deter- mining current diversity patterns (Bonada et al., 2009; Dexter et al., 2012; Marske et al., 2013). Considering the rapidity and severity of amphibian declines and consequent changes in ecosystem function (Colon-Gaud et al., 2010a,b; Whiles et al., 2013), two scenar- ios may be considered for the effects on insect assemblages. First, if long-term habitat stability and limited dispersal drive the evolutionary history of aquatic insects in the region, we expect substantial isolation among local communities even at small spatial scales. This scenario would predict that the post-decline communities are composed of species already present locally, and even if the ecological roles of tadpoles could be assumed by functionally similar aquatic insect spe- cies, the arrival of new immigrants is unlikely. Therefore, the local species would change in abundance after amphibian declines, but not in composition (or some ecological func- tions remain unfilled), and b-diversity should be high and stay high. In that case, we predict a positive correlation between species and genetic diversity because limited migra- tion among discrete, undisturbed sites over extended time- scale would have parallel effects on local diversity at these Diversity and Distributions, 1–12, ª 2015 John Wiley & Sons Ltd 3 Aquatic insects in highland Neotropical streams two levels (Vellend & Geber, 2005; Vellend et al., 2014). An alternative scenario is expected if there is historical and recent long-distance dispersal. In this case, novel widespread aquatic insect immigrant species may occupy available niche space in the altered ecosystem, and we expect increasing homogenization at both interspecific and intraspecific levels at sites with the longest time since amphibian decline, possi- bly at the expense of the original residents, which may reduce b-diversity when studied across multiple sites. This could also lead to a distortion of diversity at species and genetic levels because rapid range expansions, possibly driven by selection only at species level, would undermine the pro- cesses (such as stochastic dispersal) needed for the multi- hierarchical patterns to form (Vellend & Geber, 2005). METHODS Study area and sampling methods A total of 8 streams were sampled (Fig. 1a). These included six pristine post-decline streams located across four moun- tain ranges, spanning from sites at Fortuna in the west to Cerro Azul in the east and representing a chronosequence of decline dates from 1996 to 2009. We also sampled one chy- trid-free site in the Chucanti Nature Preserve and one low- land pristine stream (rıo Frijolitos) in the Soberanıa National Park (Table 1). All streams, except rıo Frijolitos located in the lowlands, were sampled at similar altitudes between 700 and 900 m, or at 1200 m in the westernmost sites (Chorro, Aleman), and were located in five unconnected rain forests and surrounded by agricultural areas that are expanded at the expense of rain forest. Only Aleman and Chorro were connected by water (3.48 km apart in different subcatch- ments), while the remaining sites were unconnected and sep- arated by mountains. Geographical distance between sites ranged from 2.11 km (Guabal-Blanco) to 415.85 km (Aleman-Chucanti), with distances among most sites between 50 and 180 km (Appendix S1). Except rıo Blanco that was smaller, all streams had similar habitats and sub- strate which ranged from large boulders and cobbles in rif- fles, to silt and sand in pools. For example, between 2008 and 2011 for Chorro, Guabal and Chucanti, respectively, the average width was 4.5 m, 3.7 m and 3 m; the temperature was 19  2°C, 21  1.5°C and 21  2°C; and discharge was 72  8 l s1, 60  8 l s1 and 55  12 l s1 (Rugenski, 2013). Sampling was conducted over a 4-week period in Febru- ary–March of 2011 during the dry season. Stream flow had been stable during the dry season, except rıo Blanco that experienced a flood event 3 weeks prior to sampling. Macro- invertebrates were sampled at all available habitats from rif- fles and pools along a 150-m reach using a 250-lm mesh kick net. Standard sampling took place for at least 150 min until no new taxa were captured. Samples were preserved in absolute ethanol, and macroinvertebrates were identified to genus in the laboratory (Roldan, 1988; Merritt et al., 2008) prior to molecular analysis. For each genus, functional feed- ing group assignments were based on Merritt et al. (2008). Molecular analysis and estimates of molecular species identities The three most abundant orders (58 of 96 genera) encom- passing all functional feeding groups were selected for com- munity DNA barcoding (see functional feeding groups in Appendix S2), including Ephemeroptera classified as grazers and collectors (17 genera); Trichoptera, of which the major- ity are classified as filterers and shredders, but also including a few grazers and collectors (Glossossomatidae, Hydroptili- dae) and predators (Polycentropodidae) (18 genera); and Coleoptera, with the majority classified as collectors, but also including predators (Dytiscidae, Gyrinidae) and grazers (Psephenidae) (23 genera). Additional individuals belonging to Plecoptera (predators) were sequenced because they included the only genus (Anacroneuria) distributed at all sites. The cox1 gene was sequenced for all available specimens up to 20 individuals per genus and site (see Appendix S3 for details of DNA sequencing). Putative species were delimited separately for each order using the Generalized Mixed Yule-Coalescent (GMYC) model Table 1 Site description and diversity at genus level for all orders of aquatic insects. Year decl., year of decline; Ind., number of individuals collected for the sampling period; Gen. Rich., number of genera per site, Chironomidae and Tipulidae were not included; Gen.Rich.R., rarefied Gen.Rich Site Code Area Altitude X_UTM Y_UTM Year decl. Ind. Gen. Rich. Gen. Rich.R Chorro CO R.F. Fortuna, Chiriquı 1218 364,119 963,913 1996 306 33 32 Aleman AL R.F. Fortuna, Chiriquı 1206 365,157 967,239 1996 299 39 29 Blanco BL P.N. Omar Torrijos, Cocle 771 543,390 957,542 2004 147 19 – Guabal GU P.N. Omar Torrijos, Cocle 684 545,100 958,785 2004 395 39 32 Capira CP P. N. Altos de Campana, Panama 808 618,314 960,341 2007 321 33 30 Frijolitos FR Pipeline Road, Panama 104 640,012 1,011,706 – 236 45 45 Cerro Azul CA P. N. Chagres, Panama 860 676,275 1,021,286 2009 291 44 41 Chucantı CU R. Chucanti, Panama 937 779,864 973,300 – 248 50 50 Total 2243 96 – 4 Diversity and Distributions, 1–12, ª 2015 John Wiley & Sons Ltd C. Murria et al. (Fujisawa & Barraclough, 2013) from the cox1 haplotype data after all identical sequences were collapsed. To increase the robustness and the accuracy of the GMYC model, DNA sequences of outgroups and all available cox1 data for the genera encountered were downloaded from GenBank (120 sequences, see Appendix S4 for GenBank accession numbers used) and added to the final molecular data (Fig. 2). The GMYC analysis was conducted on a maximum-likelihood phylogenetic tree obtained with RAxML 7.0.4 (Stamatakis, 2006). The tree was made ultrametric using penalized likeli- hood as implemented in r8s v. 1.7 (Sanderson, 2003). The GMYC analysis was conducted using the R package Splits (http://r-forge.r-project.org/projects/splits//) with the ‘single threshold’ option. (a) (b) (c) (d) Figure 2 Maximum-likelihood phylogenetic trees of unique cox1 haplotypes for all four lineages: (a) Ephemeroptera, (b) Plecoptera, (c) Coleoptera, (d) Trichoptera. Branches coloured in red correspond to variation within the inferred GMYC groups. Each haplotype (terminal on trees) is coloured in accordance with its locality in Fig. 1. Note that haplotypes located in more than one site are coloured with different colours. Black bars represent sequences downloaded from GenBank (see details in Appendix S4). Family names were abbreviated to the first three letters: (a) LEH, Leptohyphidae; BAE, Baetidae; LEP, Leptophlebiidae; EUT, Euthyplociidae; CAE, Caenidae; HEP, Heptageniidae; SIP, Siphlonurus. (b) PER, Perlidae. (c) HYO, Hydrophiloidea; HYA, Hydraenidae; GYR, Gyrinidae; DYT, Dytiscidae; DRY, Dryopidae; PSE, Psephenidae; PTI, Ptilodactylidae; ELM, Elmidae. (d) CAL, Calamoceratidae; LEP, Leptoceridae; HYD, Hydropsychidae; POL, Polycentropodidae; PHI, Philopotamidae. Diversity and Distributions, 1–12, ª 2015 John Wiley & Sons Ltd 5 Aquatic insects in highland Neotropical streams Analysis of community diversity at genus, inter- and intraspecific levels To compare differences in a-diversity among sites, richness was calculated at three levels: (1) individuals identified to genus for the entire community, (2) individuals sequenced and clustered into GMYC groups and (3) genetic variation within GMYC groups (number of haplotypes and nucleotide diversity). Measures of a-diversity were rarefied for the site that had the lowest sample size. Rıo Blanco exhibited signifi- cantly lower abundance and diversity than other sites (see below), possibly as a result of its smaller size and the recent flood, and hence was removed from comparisons among sites. The trend of variation in rarefied a-diversity along the chytrid expansion was explored using a local polynomial regression (LOESS) fitting simple models to variation of richness site-by-site to build up a function that described the deterministic part of the variation. To assess turnover in communities along the chytrid disease path, b-diversity at the three levels and phylogenetic distance were measured for each pair of sites. Taxonomic b-diversity was measured using the rarefied matrix of genus composition and the Bray–Curtis dissimilarity index, which takes into account abundance (Anderson et al., 2011). b-diversities of GMYC groups and haplotypes were calculated using the Sørensen index because of its analogy with the PhyloSor index (Bryant et al., 2008), which was used for measuring the phylo- b-diversity. The PhyloSor index measures the overlapping fraction of phylogenetic branch lengths connecting haplotypes between communities (Bryant et al., 2008). Values of all these similarity indexes range from 0 (complete dissimilarity) to 1 (complete similarity) for a pair of communities. Indices of b-diversity were also used to examine the community-similar- ity distance decay by fitting exponential decay curves using nonlinear regression (Soininen et al., 2007). Nucleotide diversity p (i.e. the average number of nucleo- tide differences per site between two sequences; Nei, 1987) was measured for GMYC groups that had at least 5 individu- als sequenced per site. To test for differences in mean p among sites, a nonparametric Kruskal–Wallis test was per- formed. Parallel evolutionary processes at species and genetic levels (i.e. species and genetic diversity correlation (SGDC); Vellend, 2003) were tested by correlating separately the num- ber of genera and GMYC groups per site with the mean p per site using Pearson’s correlation. All statistical analyses were carried out using the R packages stats (R Development Core Team, 2011), Vegan (Oksanen et al., 2011) and Ape (Paradis et al., 2004). RESULTS At the genus level, we identified 2243 individuals belonging to 96 genera in 43 families and 9 orders (Appendix S2). The highest a-diversity was at Chucanti with 50 genera followed by Frijolitos (45) and Cerro Azul (41). These three streams were located at the easternmost side of the gradient, and among these sites, only Cerro Azul was infected with chytrid in 2009. The remaining four sites had similar a-diversity ranging between 29 and 32 (Fig. 1b, Table 1). Many of the identified genera were located across all sites; however, sev- eral genera within the families Gomphidae (Odonata), Dyti- scidae, Elmidae and Hydraenidae (Coleoptera) were located only at the easternmost sites from Capira, which led to higher richness. None of the genera exclusive to the east had the same functional role as tadpoles (Gomphidae and Dytiscidae: predators; Elmidae and Hydraenidae: collectors). b-diversity at the genus level was similar along the geograph- ical gradient and ranged from 0.53 to 0.3 and did not show a geographical distance decay of similarity (R2 = 0.068; P = 0.25, Fig. 3a). (a) (b) Figure 3 (a) Exponential distance decay of similarity fitted at the genus level (white squares; Bray–Curtis index; r2 = 0.08, P = 0.21), species level (black circles; Sørensen index; r2 = 0.51, P < 0.001) and haplotype level (grey circles; Sørensen index; r2 = 0.85, P < 0.001). (b) Lineal geographical distance decay of similarity (PhyloSor index) fitted for Ephemeroptera (white squares; r2 = 0.423, P = 0.001), Trichoptera (grey circles; r2 = 0.0003, P = 0.45), Coleoptera (black triangles; r2 = 0.012, P < 0.28) and Plecoptera (black circles and black dash line; r2 = 0.057, P = 0.09). 6 Diversity and Distributions, 1–12, ª 2015 John Wiley & Sons Ltd C. Murria et al. DNA sequences were obtained for 749 individuals repre- senting 426 unique cox1 haplotypes (GenBank accession numbers KR134410-KR134835) (Table 2, Appendix S5–S6). The maximum-likelihood tree including external DNA sequences was consistent with our genus-level identifications in all cases (Fig. 2). GMYC analysis grouped these haplotypes into 154 putative species (Appendix S6), Ephemeroptera had the highest richness, followed by Trichoptera, Coleoptera and Plecoptera (Table 2). Rarefied a-diversity at species (around 20 species per site) and genetic (around 40 haplotypes per site) levels were similar among sites except for rıo Frijolitos and Cerro Azul, which had higher diversity. Accordingly, LOESS analysis of rarefied a-diversity at species and genetic levels did not show a trend along the chytrid disease expan- sion (Fig. 1C–D). The mtDNA genealogies were characterized by high intra- specific and interspecific genetic structure at local sites (Appendix S5-S7). Almost all haplotypes were located only at one site (mono-coloured bar in Fig. 2), with the exception of 19 haplotypes that were located in two close sites, two haplotypes located in three sites, and only one haplotype (Anchytarsus, Coleoptera) found across the five westernmost sites. GMYC groups mirrored the structure of haplotypes, and generally, each GMYC group was located exclusively at one site. Rarely, GMYC groups were distributed in two nearby sites or, in the coleopteran genera Psephenus, Anchy- tarsus and Heterelmis, at four or five sites. b-diversity at the species level ranged from 0.39 to 0 and, at the haplotype level, ranged from 0.22 to 0 (Fig. 3a). For both levels, the highest values of b-diversity were between the closely adjacent rıo Chorro and Aleman. At the species level, communities separated by more than 300 km showed complete turnover, and this distance was reduced to ~100 km at the intraspecific level. Nonlinear regressions of community-similarity distance decay fit an exponential decay for species (r2 = 0.51, P < 0.001) and genetic (r2 = 0.85, P = 0.001) levels. In contrast, phylo-b-diversity for Trichop- tera, Coleoptera and Plecoptera ranged from 0.6 to 0.2 and did not show any geographical distance decay of similarity (P > 0.05), while Ephemeroptera showed a moderate linear decay (r2 = 0.423, P = 0.001) (Fig. 3b). The largely constant values of phylo-b-diversity indicated that turnover of vari- ability was at the terminal levels (species or haplotypes), but the same major lineages were represented at all sites and diversified locally. Genetic diversity was measured for 60 GMYC groups that ranged from 5 to 21 individuals sequenced per site (mean = 8.3). Nucleotide diversity p ranged from 0 to 0.013, and these values were independent of location of the site along the gradient (Fig. 4a) and the number of individuals sequenced per site or order (Appendix S7). For instance, the highest values of p were found for Farrodes (Ephemeroptera) at Guabal (p = 0.0135) and Cerro Azul (p = 0.0116) that had 10 and 13 individuals sequenced, respectively, whereas the 9 individuals sequenced for Farrodes from Aleman showed p = 0.00. At Capira, the genus Farrodes had two GMYC groups that showed dissimilar values of p = 0.0105 and p = 0.0021 for 6 and 7 individuals sequenced, respec- tively. The only possible generalization concerns the genus Anacroneuria (Plecoptera) that showed consistently low p (0.00–0.0033). The highest values of p were found in Ephemeroptera, whereas Coleoptera and Trichoptera showed intermediate values. Cerro Azul showed the highest mean p per site; however, there were no significant differences among sites (v2 = 10.64, P = 0.1). Species and genetic diver- sities at local sites were positively correlated (r2 = 0.72, P = 0.007), whereas neither was significantly correlated at the genus level (r2 = 0.27, P = 0.18) (Fig. 4b). DISCUSSION Our study reveals high turnover among streams simulta- neously at the species and genetic levels, which together sug- gests that dispersal between the sampled areas has been limited over extended time-scales. We also find that a-diversity at spe- cies and genetic levels did not significantly change along the chytrid disease expansion; hence, the time since amphibian extirpation (from up to 14 years to chytrid-free sites) was not Table 2 Number of species (GMYC) and cox1 haplotypes (hap) for the four selected insect orders. Ind., number of individuals sequenced; NucDiv, mean nucleotide diversity p per site for the GMYC groups with at least 5 individuals sequenced Site Ephemeroptera Trichoptera Coleoptera Plecoptera Total Ind. GMYC Hap Ind. GMYC Hap Ind. GMYC Hap Ind. GMYC Hap Ind. GMYC Hap NucDiv* CO 48 14 25 19 2 12 14 3 10 5 2 3 86 21 50 0.00254 AL 46 14 26 22 7 16 2 1 2 6 3 6 76 23 50 0.00403 BL 0 0 0 23 6 12 1 1 1 12 1 2 36 8 15 0.00077 GU 62 14 35 31 6 14 45 9 32 11 2 5 149 31 86 0.00392 CP 22 11 19 53 5 13 20 6 13 8 2 2 103 23 47 0.00318 FR 64 15 40 34 9 22 16 6 12 9 3 5 123 33 79 0.00391 CA 68 17 51 14 7 12 28 6 20 7 2 3 117 35 86 0.00755 CU 15 4 14 20 8 14 14 7 7 10 4 7 59 22 42 0.00266 Total 325 69 202 216 42 104 140 29 90 68 14 30 749 154 426 *See Appendix S5–S6 for details. Diversity and Distributions, 1–12, ª 2015 John Wiley & Sons Ltd 7 Aquatic insects in highland Neotropical streams correlated with the local richness of aquatic insects. The high b-diversity and rapid exponential distance decay of similarity detected at both organizational levels are evidence against any large-scale processes sweeping through these insect communi- ties and the homogenization through widespread species that might mirror the chytrid wave. This suggests that the effect of amphibian decline on the pattern of species and intraspecific diversity at large spatial scale is minimal. Existing ecological studies have established changes in eco- system function (Whiles et al., 2006, 2013; Colon-Gaud et al., 2009; Rugenski et al., 2012) and declines of insect diversity several years after the loss of amphibians (Rantala et al., 2015). These assessments were generally limited to par- ticular local sites, hence lacking the regional perspective, and they were based on the unrefined identification to genus level only. Our phylogenetic analysis from DNA data extended across the entire region provides a novel, evolutionarily explicit framework to discriminate between different possible scenarios for the response of aquatic insect communities. The significant changes in ecosystem function following the tadpole loss at local sites (e.g. increase in community respira- tion and N flux to the epilithon, or decrease in N uptake length and N flux to fine particulate organic matter; Whiles et al., 2013) are apparently not compensated for by other components of the ecosystem such as aquatic macroinverte- brates (Rantala et al., 2015). Our results are consistent with this scenario, as the post-decline macroinvertebrate commu- nities show very localized distributions that suggest they are not composed of recent immigrants that would occupy the vacant niche space after tadpole extirpations. With our data, we cannot exclude that species in post-decline sites might have been drawn from a local pool of in situ evolving lineages, which may have been restricted to pockets of the local sites, or existed at very low abundance when tadpoles were present and now increased in abundance (which we did not measure). While insects do not profit from the disap- pearance of tadpoles, it remains to be seen whether and how these profound ecological changes linked to shifts in basal resources associated with the loss of tadpoles will have direct (e.g. competition for food resources) or indirect (e.g. biotur- bation, altering algal community structure) effects on macro- invertebrate communities (Rantala et al., 2015), which may ultimately result in the disappearance of isolated aquatic macroinvertebrate communities. The only feature unique to the chytrid-free sites was the composition of communities in the genus-level study, which detected several taxa limited to the easternmost side of the geographical gradient and a-diversity increased abruptly from Capira eastwards. The absence of these specific taxa at the westernmost sites was confirmed by species composition datasets from 2008 to 2011 from Chorro and Guabal (Colon-Gaud et al., 2010a,b; Rugenski, 2013). Given that these taxa use resources different from tadpoles and are in different functional feeding groups, and furthermore, Cerro Azul experienced declines two years before our study but still harboured these groups, it is not likely that the lower rich- ness at the western side was associated with amphibian extir- pation. Instead, the pattern of a-diversity may be explained by the historical disjunction of the North and South Ameri- can fauna around the Isthmus of Panama. The limited sampling effort may also affect the estimates of b-diversity, given our snapshot sampling over a 1-day (a) (b) Figure 4 (a) Distribution of nucleotide diversity (p) across the longitudinal gradient for all GMYC groups that had at least 5 individuals sequenced: Ephemeroptera (white squares), Trichoptera (grey circles), Coleoptera (black triangles) and Plecoptera (black circles). (b) Species and genetic diversity correlation (SGDC). Species diversity refers the number of genera per site (grey dots, r2 = 0.27, P = 0.18) and GMYC groups per site (black dots, r2 = 0.72, P = 0.007). For the calculations of the local genetic diversity, the mean nucleotide diversity was established for each GMYC group at a site for those represented by at least 5 sequenced individuals (Appendix S6). 8 Diversity and Distributions, 1–12, ª 2015 John Wiley & Sons Ltd C. Murria et al. period that may be incomplete and therefore artificially increase the inferred species turnover. However, it is unlikely that a pattern of high endemicity would be created simply from undersampling, as it would favour the detection of widespread and common species, which we do not find. At the genus level, numerous taxa were recovered consistently among sites and their composition was comparable with other studies in this region (Colon-Gaud et al., 2009, 2010a, b), and in the case of the locality at Chucanti, our repeated sampling over 3 years revealed a very similar community composition (Rugenski, 2013). This suggests that our sample is a good representation of the local biota, and therefore, the turnover within genera at the species and genetic level is likely to be an adequate reflection of the true change among sites. The detected turnover also may be a consequence of other factors such as seasonality and patchiness of macroin- vertebrate communities associated with flow disturbances (e.g. the low diversity found at rıo Blanco was presumably affected by a recent flooding event) (Lake, 2000; Rıos-Touma et al., 2011). However, even with limited sampling, the rare- fied species and genetic diversities were remarkably similar at the 8 study sites, with the greatest proportion of species belonging to Ephemeroptera, approximately half as many species of Coleoptera and Trichoptera, and only a few species to Plecoptera. The largely uniform number of mayfly species, all of which are considered to be part of the grazer and col- lector guild, is a strong indication of their ubiquity and eco- logical significance, while at the species and genetic levels, there is strong turnover among sites. The high interspecific and intraspecific turnover among sites supports the notion of long-term habitat stability in tropical highlands that resulted in limited dispersion and an increase in genetic differentiation among mountain sites (Cadena et al., 2011; Garcıa-Lopez et al., 2013). Similarly, high community turnover at the levels of haplotypes, species and higher clades was found in terrestrial scarab beetles across several Neotropical highland forests, which was attrib- uted to the long-term ecological stability of local populations that may track suitable habitats to accommodate climatic changes without long-distance dispersal (Garcıa-Lopez et al., 2013). The aquatic insects examined here showed even higher genetic structure among communities at a similar geographical scale, possibly because dispersal among streams, especially among headwaters, is even more limited than among the largely contiguous terrestrial rain forest habitats inhabited by scarabs (Bohonak & Jenkins, 2003; Finn et al., 2011). Long-term habitat stability may be surprising given the undoubted effects of Pleistocene climatic fluctuations on species movements, especially in the Northern Hemisphere (Hewitt, 2000), but in the Tropics, the resulting shifts in habitat distributions are comparatively small and in case of highland habitats can be tracked by populations up and down mountain slopes with minimal movements (Rull, 2005; Graham et al., 2006; Murria & Hughes, 2008). Popula- tion persistence in unstable habitats requires high dispersal rate to ensure survival, and accordingly, species tend to exhibit lower genetic endemism and larger ranges than those in long-term stable habitats (Ribera et al., 2003; Papadopou- lou et al., 2009). Habitat stability would amplify patterns of high b-diversity over geographical distance and the size of regional species pools in tropical rain forests (Graham et al., 2006; Carnaval et al., 2009) and also preserve biogeographi- cal signatures at higher hierarchical levels. Nucleotide diversity p was highly variable among and within lineages (except Plecoptera that had the lowest p) and among sites (Fig. S7). Distribution of p in mtDNA among species has been correlated with differences in relevant traits such as long-lived or low fecundity (Romiguier et al., 2014), recurrent adaptive evolution in mtDNA genes (Bazin et al., 2006) or geographical range and dispersal abilities of species (Fujisawa et al., 2015). In our study, the disparity of p within and among lineages is not predicted from differences in geographical ranges, dispersal abilities and the correlated population size (Fujisawa et al., 2015) because almost all spe- cies have narrow, isolated geographical distributions. The high disparity of p shown by closely related species that share functional traits and inhabit the same isolated stream (e.g. the two species Farrodes at Capira) may refute the hypothesis of differences in adaptive traits and the explana- tions based on habitat stability because these species presum- ably have similar population history associated with local abiotic factors such as flood events or biogeography. It is unlikely that these observations are explained by sampling artefacts, as the number of individuals sequenced per GMYC groups and p were not correlated (Fig. S7). The high dispar- ity of p remains unexplained but may be the results of con- tingent factors affecting the long-term effective population size of each species, as species abundance or frequent bottle- necks affect comparatively small populations in a fluctuating environment (Fujisawa et al., 2015), or may reflect the time since the last occurrence of a selective sweep for each species (Bazin et al., 2006). Regardless of the determinant of the detected high variability of p, there was no significant shift among the pre- and post-decline sites, indicating that dispar- ity in p is not an initial indication of declining populations following amphibian extirpation. We did, however, find a correlation between number of GMYC groups and intraspecific diversity of the local species present at these sites (confirming the SGDC of Vellend, 2003). This correlation is usually explained by the action of uniform processes that generate patterns at both hierarchical levels, such as dispersal among sites that affect the total spe- cies counts as the product of immigration–extinction dynam- ics and affect genetic diversity as the result of genetic drift. The detected high turnover among sites at both hierarchical levels suggests that indeed extended isolation of local assem- blages (i.e. a neutral process) is the main mechanism causing the observed macroecological pattern, rather than selection for particular species traits (e.g. those relevant to niches vacated by amphibians). This is further support for an evolu- tionary history of isolation and restricted migration that lim- its species ranges and the potential responses of aquatic Diversity and Distributions, 1–12, ª 2015 John Wiley & Sons Ltd 9 Aquatic insects in highland Neotropical streams insects to amphibian declines. Just as the loss of endemic amphibian assemblages resulted in numerous species extinc- tions in the wake of chytrid infection (Crawford et al., 2010), each Neotropical highland stream harbours a unique diversity of aquatic insects that is highly erodible and irre- placeable because of long-term isolation. Local extinctions caused by anthropogenic disturbances, for example from agriculture, logging, mining and wind farms, are not likely to be compensated for by recolonization because of limited dis- persion among mountain ranges. ACKNOWLEDGEMENTS This research was supported by National Science Foundation Grant DEB #0717741 and Leverhulme Trust Grant F/00696/ P. We thank The Smithsonian Tropical Research Institute and Autoridad Nacional del Ambiente for logistical support and sampling permits, and Guido Berguido for his assistance with sampling in the Chuncanti nature preserve. All research complies with the current laws of the Republic of Panama, as stated in the scientific permits SE/A-25-10 and SE ⁄ A-40- 10. CM was supported by a Beatriu de Pinos postdoctoral fellowship (BP-DGR-2011) from Agencia de Gestio d’Ajuts Universitaris i de Recerca, Catalunya. REFERENCES Anderson, M.J., Crist, T.O., Chase, J.M., Vellend, M., Inouye, B.D., Freestone, A.L., Sanders, N.J., Cornell, H.V., Comita, L.S., Davies, K.F., Harrison, S.P., Kraft, N.J.B., Stegen, J.C. & Swenson, N.G. (2011) Navigating the multiple meanings of b diversity: a roadmap for the practising ecologist. Ecol- ogy Letters, 14, 19–28. Atkinson, C., Vaughn, C.C., Forshay, K.J. & Cooper, J.T. (2013) Aggregated filter-feeding consumers alter nutrient limitation: consequences for ecosystem and community dynamics. Ecology, 94, 1359–1369. Avise, J.C. (2009) Phylogeography: retrospect and prospect. Journal of Biogeography, 36, 3–15. Bazin, E., Glemin, S. & Galtier, N. (2006) Population size does not influence mitochondrial genetic diversity in ani- mals. Science, 312, 570–572. Becker, G.C. & Zamudio, K.R. (2011) Tropical amphibian populations experience higher disease risk in natural habi- tats. Proceedings of the National Academy of Sciences USA, 108, 9893–9898. Bohonak, A.J. & Jenkins, D.G. (2003) Ecological and evolu- tionary significance of dispersal by freshwater invertebrates. Ecology Letters, 6, 783–796. Bonada, N., Murria, C., Zamora-Mu~noz, C., El Alami, M., Poquet, J.M., Puntı, T., Moreno, J.L., Bennas, N., Alba-Tercedor, J., Ribera, C. & Prat, N. (2009) Using com- munity and population approaches to understand how contemporary and historical factors have shaped species distribution in river ecosystems. Global Ecology and Bioge- ography, 18, 202–213. Bryant, M.J., Lamanna, C., Morlon, H., Kerkhoff, A.J., En- quist, B.J. & Green, J.L. (2008) Microbes on moutainsides: contrasting elevational patterns of bacteria and plant diver- sity. Proceedings of the National Academy of Sciences USA, 105, 11505–11511. Bustamante, H.M., Livo, L.J. & Carey, C. (2010) Effects of temperature and hydric environment on survival of the Panamanian Golden Frog infected with a pathogenic chy- trid fungus. Integrative Zoology, 5, 143–153. Cadena, C.D., Kozak, K.H., Gomez, J.P., Parra, J.L., Mccain, C.M., Bowie, R.C., Carnaval, A.C., Moritz, C., Rahbek, C., Roberts, T.E., Sanders, N.J., Schneider, C.J., Vanderwal, J., Zamudio, K.R. & Graham, C.H. (2011) Latitude, elevation climatic zonation and speciation in New World vertebrates. Proceedings of the Royal Society B, 279, 194–201. Cardinale, B.J., Srivastava, D.S., Duffy, J.E., Wright, J.P., Downing, A.L., Sankaran, M. & Jouseau, C. (2006) Effects of biodiversity on the functioning of trophic groups and ecosystems. Nature, 443, 989–992. Carnaval, A.C., Hickerson, M.J., Haddad, C.F.B., Rodrigues, M.T. & Moritz, C. (2009) Stability Predicts Genetic diversity in the Brazilian Atlantic Forest hotspot. Science, 323, 785–789. Colon-Gaud, C., Whiles, M.R., Kilham, S.S., Lips, K.R., Prin- gle, C.M., Connelly, S. & Peterson, S.D. (2009) Assessing ecological responses to catastrophic amphibians declines: patterns of macroinvertebrates production and food web structure in upland Panamanian streams. Limnology and Oceanography, 54, 331–343. Colon-Gaud, C., Whiles, M.R., Brenes, R., Kilham, S.S., Lips, K.R., Pringle, C.M., Connelly, S. & Peterson, S.D. (2010a) Potential functional redundancy and resource facilitation between tadpoles and insect grazers. Freshwater Biology, 55, 2077–2088. Colon-Gaud, C., Whiles, M.R., Lips, K.R., Pringle, C.M., Kil- ham, S.S., Connelly, S., Brenes, R. & Peterson, S.D. (2010b) Stream invertebrate responses to a catastrophic decline in consumer diversity. Journal of North American Benthological Society, 29, 1185–1198. Crawford, A.J., Lips, K.R. & Bermingham, E. (2010) Epi- demic disease decimates amphibian abundance, species diversity, and evolutionary history in the highlands of cen- tral Panama. Proceedings of the National Academy of Sci- ences USA, 107, 13777–13782. Dexter, K.G., Terborgh, J.W. & Cunningham, C.W. (2012) Historical effects on beta diversity and community assem- bly in Amazonian trees. Proceedings of the National Acad- emy of Sciences USA, 109, 7787–7792. Duffy, J.E. (2009) Why biodiversity is important to the func- tioning of real-world ecosystems. Frontiers in Ecology and the Environment, 7, 437–444. Finn, D.S., Bonada, N., Murria, C. & Hughes, J.M. (2011) Small but mighty: headwaters are vital to stream network biodiversity at two levels of organization. Journal of North American Benthological Society, 30, 963–980. Fjeldsa, J., Lambin, E. & Mertens, B. (1999) Correlation between endemism and local ecoclimatic stability 10 Diversity and Distributions, 1–12, ª 2015 John Wiley & Sons Ltd C. Murria et al. documented by comparing Andean bird distribution and remotely sensed land surface data. Ecography, 22, 63–78. Flecker, A.S., Feifarek, B.P. & Taylor, B.W. (1999) Ecosystem engineering by a tropical tadpole: density-dependent effects on habitat structure and larval growth rates. Copeia, 2, 495–500. Fujisawa, T. & Barraclough, T.G. (2013) Delimiting species using single-locus data and the Generalized Mixed Yule Coalescent approach: a revised method and evaluation on simulated data sets. Systematic Biology, 62, 707–724. Fujisawa, T., Vogler, A.P. & Barraclough, T.G. (2015) Ecol- ogy has contrasting effects on genetic variation within spe- cies versus rates of molecular evolution across species in water beetles. Proceedings of the Royal Society B, 282, 20142476. Garcıa-Lopez, A., Mico, E., Murria, C., Galante, E. & Vogler, A.P. (2013) Beta-diversity at multiple hierarchical levels: explaining the high diversity of scarab beetles in tropical montane forests. Journal of Biogeography, 40, 2134–2145. Graham, C.H., Moritz, C. & Williams, S.E. (2006) Habitat history improves prediction of biodiversity in rainforest fauna. Proceedings of the National Academy of Sciences USA, 103, 632–636. Hajibabaei, M., Singer, G.A., Hebert, P.D.N. & Hickey, D.A. (2007) DNA barcoding: how it complements taxonomy, molecular phylogenetics and population genetics. Trends in Genetics, 24, 167–172. Hebert, P.D.N., Cywinska, A., Ball, S.L. & deWaard, J.R. (2003) Biological identifications through DNA barcodes. Proceedings of the Royal Society B, 270, 313–321. Hewitt, G.M. (2000) The genetic legancy of the Quaternary ice ages. Nature, 68, 87–112. Hof, C., Br€andle, M. & Brandl, R. (2006) Lentic odonates have larger and more northern range than lotic species. Journal of Biogeography, 33, 63–70. Hooper, D.U., Chapin, F.S., Ewel, J.J., Hector, A., Inchausti, P., Lavorel, S., Lawton, J.H., Lodge, D.M., Loreau, M., Naeem, S., Schmid, B., Setala, H., Symstad, A.J., Vander- meer, J. & Wardle, D.A. (2005) Effects of biodiversity on ecosystem functioning: a consensus of current knowledge. Ecological monographs, 75, 3–35. Joly, S., Davies, T.J., Archambault, A., Bruneau, A., Alison, D., Kembel, S.W., Peres-Neto, P.R., Vamosi, J.C. & Wheeler, T.A. (2014) Ecology in the age of DNA barcod- ing: the resource, the promise and the challenges ahead. Molecular Ecology Resources, 14, 221–232. Lake, P.S. (2000) Disturbance, patchiness, and diversity in streams. Journal of North American Benthological Society, 19, 573–592. Lips, K.R., Brem, F., Brenes, R., Reeve, J.D., Alford, R.A., Voyles, J., Carey, C., Livo, L., Pessier, A.P. & Collins, J.P. (2006) Emerging infectious disease and the loss of biodi- versity in a Neotropical amphibian community. Proceedings of the National Academy of Sciences USA, 103, 3165–3170. Lips, K.R., Burrowes, P.A., Mendelson, J.R. & Parra-Olea, G. (2005) Amphibian declines in Latin America: widespread population declines, extinctions, and impacts. Biotropica, 37, 163–165. Marske, K.A., Rahbek, C. & Nogues-Bravo, D. (2013) Phy- logeography: spanning the ecology-evolution continuum. Ecography, 36, 1169–1181. Merritt, R.W., Cummins, K.W. & Berg, M.B. (2008) An introduction to aquatic insects of North America, 4th edn. Kendall/Hunt Publishing Company, Dubuque, IA. Murria, C. & Hughes, J.M. (2008) Cyclic habitat displace- ments during Pleistocene glaciations have induced inde- pendent evolution of Tasimia palpata populations (Trichoptera:Tasimiidae) in isolated subtropical rain forest patches. Journal of Biogeography, 35, 1727–1737. Nei, M. (1987) Molecular Evolutionary Genetics. Columbia University Press, New York. Oksanen, J., Blanchet, F.G., Kindt, R., Legendre, P., Minchin, P.R., O’hara, R.B., Simpson, G.L., Solymos, P., Stevens, M.H.H. & Wagner, H. (2011) Vegan: Community Ecology Package. R package version 2.0-2. Papadopoulou, A., Anastasiou, I., Keskins, B. & Vogler, A.P. (2009) Comparative phylogeography of tenebrionid beetles in the Aegean archipelago: the effects of dispersal ability and habitat preference. Molecular Ecology, 18, 2503–2517. Papadopoulou, A., Anastasiou, I., Spagopoulou, F., Stalime- rou, M., Terzopoulou, S., Legakis, A. & Vogler, A.P. (2011) Testing the Species-Genetic Diversity Correlations in the Aegean Archipelago: toward a haplotype-based macroecol- ogy? The American Naturalist, 178, 241–255. Paradis, E., Claude, J. & Strimmer, K. (2004) APE: analyses of phylogenetics and evolution in R language. Bioinformat- ics, 20, 289–290. R Development Core Team (2011) R: a language and envi- ronment for statistical computing. R Foundation for Statisti- cal Computing, Vienna, Austria. Available at: http:// www.R-project.org/. Rantala, H.M., Nelson, A.M., Fulgoni, J.N., Whiles, M.R., Hall, R.O., Dodds, W.K., Verburg, P., Huryn, A.D., Prin- gle, C.M., Kilham, S.S., Lips, K.R., Colon-Gaud, C., Rugen- ski, A.T., Peterson, S.D., Fritz, K., McLeran, K.E. & Connelly, S. (2015) Long-term changes in structure and function of a tropical headwater stream following a disease-driven amphibian decline. Freshwater Biology, 60, 575–589. Ribera, I., Foster, G.N. & Vogler, A.P. (2003) Does habitat use explain large scale species richness patterns of aquatic beetles in Europe? Ecography, 26, 145–152. Rıos-Touma, B., Encalada, A.C. & Prat, N. (2011) Macroin- vertebrate assemblages of an andean high-altitude tropical stream: the importance of season and flow. International Review of Hydrobiology, 96, 667–685. Roldan, G. (1988) Guıa para el estudio de los macroinverte- brados acuaticos del Departamento de Antioquia, edn. Col- ciencias-Fondo FEN, Bogota. Romiguier, J., Gayral, P., Ballenghien, M. et al. (2014) Com- parative population genomics in animals uncovers the determinants of genetic diversity. Nature, 515, 261–263. Diversity and Distributions, 1–12, ª 2015 John Wiley & Sons Ltd 11 Aquatic insects in highland Neotropical streams Rugenski, A.T., Murria, C. & Whiles, M.R. (2012) Tadpoles enhance microbial activity and leaf decomposition in a neotropical headwater stream. Freshwater Biology, 57, 1904–1913. Rugenski, A.T. (2013). Influence of disease-driven amphibian declines on ecosystem structure and function in Panamanian headwater streams. PhD thesis. Southern Illinois University, USA. Rull, V. (2005) Biotic diversification in the Guayana Highlands: a proposal. Journal of Biogeography, 32, 921– 927. Sanderson, M.J. (2003) r8s: Inferring absolute rates of molec- ular evolution and divergence times in the absence of a molecular clock. Bioinformatics, 19, 301–302. Soininen, J., Mcdonald, R. & Hillebrand, H. (2007) The dis- tance decay of similarity in ecological communities. Ecogra- phy, 30, 3–12. Stamatakis, A. (2006) RAxML-VI-HPC: maximum likeli- hood-based phylogenetic analyses with thousands of taxa and mixed models. Bioinformatics, 22, 2688–2690. T€anzler, R., Sagata, K., Surbakti, S., Balke, M. & Riedel, A. (2012) DNA barcoding for community ecology - how to tackle a hyperdiverse, mostly undescribed Melanesian fauna. PLoS ONE, 7, e28832. Vaughn, C.C. (2010) Biodiversity losses and ecosystem func- tion in freshwaters: emerging conclusions and research directions. BioScience, 60, 25–35. Vellend, M. (2003) Island biogeography of genes and species. The American Naturalist, 162, 358–365. Vellend, M. & Geber, M.A. (2005) Connections between spe- cies diversity and genetic diversity. Ecology letters, 8, 767– 781. Vellend, M., Lajoie, G., Bourret, A., Murria, C., Kembel, S.W. & Garant, D. (2014) Drawing ecological inferences from coincident patterns of population- and community- level biodiversity. Molecular Ecology, 23, 2890–2901. Whiles, M.R., Hall, R.O. Jr, Dodds, W.K., Verburg, P., Huryn, A.D., Pringle, C.M., Lips, K.R., Kilham, S.S., Colon-Gaud, C., Rugenski, A.T., Peterson, S.D. & Connel- ly, S. (2013) Disease-driven amphibian declines alter ecosystem processes in a tropical stream. Ecosystems, 16, 146–157. Whiles, M.R., Lips, K.R., Pringle, C.M., Kilham, S.S., Bixby, R.J., Brenes, R., Connelly, S., Colon-Gaud, J.C., Hunte- Brown, M., Huryn, A.D., Montgomery, C. & Peterson, S. (2006) The effects of amphibian population declines on the structure and function of Neotropical stream ecosystems. Frontiers in Ecology and Evolution, 4, 27–34. SUPPORTING INFORMATION Additional Supporting Information may be found in the online version of this article: Appendix S1 Geographical distances among sites. Appendix S2 Taxonomical composition per site. Appendix S3 Methods of molecular analysis. Appendix S4 Cox1 sequences downloaded from GenBank. Appendix S5 Individual identification (BMNH number) of all cox1 sequenced. Appendix S6 Taxonomical information of each GMYC group and haplotype, and their location. Appendix S7 Table S7: Number of individuals sequenced, Nucleotide Diversity (p) and genetic diversity (GD) per site; Figure S7: Relationship between number of individuals sequenced and Nucleotide Diversity (p). BIOSKETCHES Cesc Murria is a postdoctoral researcher at Universite de Sherbrooke (Quebec) where he examines macroecological patterns of diversity at the population and community level and their correlation. Amanda Rugenski is a postdoctoral researcher at Arizona State University where she studies how species traits and consumer-driven nutrient recycling influence structure and function in aquatic ecosystems. Matt Whiles’ laboratory at Southern Illinois University focuses on quantifying roles of consumers in freshwater eco- system function. Alfried Vogler’s laboratory at the Natural History Museum, London, uses molecular phylogenetic and evolutionary analy- ses to study species diversity and genomics of insects. Author contributions: All authors conceived the study, C.M. and A.T.R. did the field work, taxonomic identifications and molecular analysis, C.M. performed all statistical and phylo- genetic analysis, and figures. All authors discussed the results, C.M. and A.P.V. wrote a draft of the paper, and all authors contributed substantially to the revision. Editor: Jacqueline Beggs 12 Diversity and Distributions, 1–12, ª 2015 John Wiley & Sons Ltd C. Murria et al.