INTRODUCTION
Colombia is a mega-diverse country; it harbors one of the highest diversities of fauna and flora in the world (Rangel-Ch., 2015). However, its strategic location in the northern Andes implies a very rapid landscape transformation and biodiversity loss (Armenteras et al., 2003); even so the tropical Andes are a priority for conservation due to their high levels of diversity and endemism (Myers et al., 2000; Pennington et al., 2010). Moreover, the Andes harbor a wide variety of ecosystems, from Andean and high Andean forests to paramos (Rodríguez et al., 2006); the latter, are especially interesting as they generate a particular pattern: many species occupy narrow altitudinal ranges (Terborgh, 1992; Bernal and Lynch, 2008).
In Colombia, the Andes split into three cordilleras: Occidental, Central, and Oriental. The latter has the largest geographic extension, and it harbors four biogeographical units: Santurbán, Almorzadero, Tamá, and Yariguíes, which constitute an important ecological zone that acts as natural reserve and source of hydrological resources for two departments, Norte de Santander and Santander (Morales et al., 2007). Nevertheless, a great area of these biogeographical units has never been studied or remains poorly explored, and therefore the knowledge about its biodiversity is scarce (Acevedo et al., 2016a).
The Andean ecosystems are characterized by high levels of species richness and endemism (Myers et al., 2000; Herzog et al., 2011). Taxonomic groups well represented in such habitats are amphibians and insects; the former group comprises frogs and toads that belong to the order Anura, which contains the majority of species of amphibians compared to the other two orders (Caudata, salamanders, and Apoda, caecilians). There are 754 species of the order Anura in Colombia (Acosta, 2017), 396 of which inhabit the Cordillera Oriental (Bernal and Lynch, 2008); in such mountain ranges some groups of amphibians exhibit marked diversification patterns, such as the genera Pristimantis (family Craugastoridae), Dendropsophus (Hylidae) and Gastrotheca (Hemiphractidae) (Lynch, 1998; Meza-Joya and Torres, 2016; Armesto and Señaris, 2018).
Meanwhile, Andean butterflies are mainly represented by the superfamily Papilionoidea, particularly the subtribe Pronophilina, which is one of the most diverse groups of butterflies in the Andean and high Andean ecosystems (Mahecha-Jiménez et al., 2011). There are roughly 520 species of this subtribe (Lamas et al., 2004; Pyrcz et al., 2011) and 205 occur in Colombia, which has the second highest richness of Pronophilina in the Andes (Lamas et al., 2004; Pyrcz and Rodríguez, 2007). Moreover, these butterflies can act as indicators of diversity due to their level of endemism in the high Andean region (Pyrcz and Rodríguez, 2007), promoted by their specialized diets based on plant families like Poaceae, Marantaceae, Arecaceae and Cyperaceae (García-Perez et al., 2007; Pyrcz and Viloria, 2007).
Species distribution models (SDMs)
The presence of a species is determined by several factors operating at different levels of intensity and scale (Pearson and Dawson, 2003), which are represented by environmental aspects including climatic and habitat conditions, as well as ecological factors related to competition, predation, and parasitism (Ortíz-Yusty et al., 2014).
There are two approaches to species distribution, one theoretical and one practical: the actual distribution, which relates to the occurrence of the species represented by the geographical localities where individuals of the species have been recorded. The potential distribution, related to areas that have very similar environmental conditions to the sites where the species already occurs, and therefore such potential areas have very high probabilities of being occupied by the same species (Gámez, 2011). It is common to have incomplete data on the distribution of species and often such data only covers presence data (Pearson et al., 2007). Therefore, the need to generate models that allow us to inferthe distribution patterns to extrapolate the information into ecological, evolutionary or conservation contexts.
Niche modeling is an increasingly used tool to estimate the potential distribution of species (Lobo et al., 2010); such models estimate the potential distribution by correlating occurrence information with environmental predictors. Moreover, ecological niches refer to the relationships between environmental variables, which offer the ecological conditions necessary to the development and longterm survival of a particular species (Soberón and Peterson, 2005). Studies focusing on the comparison of different methods for niche modeling indicate that MaxEnt, based on the algorithm of maximum entropy (Phillips et al., 2006), is one of the most robust methods (Tognelli et al., 2009). Moreover, it only requires presence data and environmental variables, and it does not loose robustness when working with small data sets (Figueroa et al., 2016). MaxEnt provides response curves for every species about environmental variables and estimates the importance of each variable in explaining the distribution of the species. To validate the obtained model MaxEnt uses the criteria of the area under the curve (AUC), derived from the curve operated by the receptor (ROC) (Phillips et al., 2006). These kind of models have multiple applications: detection of new areas of distribution and new species (Pearson et al., 2007); studies about potential impacts of climate change (Levinsky et al., 2007); prediction of biological invasions and expansion of biological vectors and pathogens (Ward, 2007); design of conservation strategies (Ferrier, 2002), to name but a few.
The importance of conserving the Andean ecosystems is evident; however, there is a lack of information about the conservation status in northeastern Colombia and their fauna. Therefore, this study aimed to determine the patterns of species potential richness and their implications for the conservation of frogs and diurnal butterflies along three biogeographical zones of northeastern Colombia.
MATERIALS AND METHODS
Study area
From June 2012 to May 2016, we sampled different locations from the biogeographical units: Santurbán (Norte de Santander) (five locations), Almorzadero (Santander and Norte de Santander) (seven locations), and Tamá (Norte de Santander) (six locations) (Fig. 1), covering an altitudinal gradient from 2000 to 3800 m a.s.l.
The biogeographical units Almorzadero, Santurbán, and Tamá are located along the northeastern area ofthe CordilleraOriental in Colombia. All three units have orobiomes corresponding to Andean, Highandean, Subparamo, and Paramo, with conditions of precipitation ranging from humid to very humid. The regime of precipitations is bimodal, with two dry periods and two rainy seasons; minimum precipitation is 600 mm, and the maximum levels per zone are 1379 mm in Almorzadero; 1567 mm in Tamá and 2500 mm in the Santurbán; mean multiannual temperature oscillate between 6 and 13.5 °C (Morales et al., 2007).
Vegetation exhibits a high abundance of the families Asteraceae, Poaceae, Rosaceae, Scrophulariaceae, Ericaceae, Melastomataceae; and species of the genera Lachemillam, Hypericum, Baccharis, Carex, Castilleja, Chaetopelis, Tamania, Libanothamnus, Rulopezia, Espeletiopsis, Ageratina, Calamagrostis, Agrostis, Chusquea and Espeletia (Rangel-Ch., 2000).
The three biogeographical units suffer a high anthropic intervention, particularly due to the establishment of grasslands and crops like potato, onions, beans, and corn; moreover, there are areas dedicated to cattle ranching of ovine, bovine, equine and porcine. Also, the establishment of gold and silver mining directly causes a rapid loss of habitat, affecting the plant and animal species (Morales et al., 2007).
Sampling methods
Amphibians
The collection of amphibians consisted of random walks by two observers applying the technique of visual encounter (Crump and Scott, 1994), from 18:00 h to 22:00 h. Surveys included all the different available microhabitats (rocks; dead logs; streams' borders; bryophytes; grass; frailejón (characteristic paramo's plants); bromeliads; tree trunks and shrubs; under and on the leaf litter). Information registered for every individual consisted of geographical, environmental, and ecological data: date and time of capture, altitude, geographic coordinates, type of vegetation cover, environmental temperature, relative humidity, type of substrate and height to the position of the individual, and activity.
Butterflies
For the collection of butterflies, using entomological nets, random field stations were located following an altitudinal gradient of 500 m (Ríos-Málaver, 2007; Van Swaay et al., 2015). In every station, three people performed random walks between 08:00 h and 17:00 h, with a sampling effort of 9 hrs/day/person (Villareal et al., 2004); the aims were to sample the different altitudes along the gradient, to cover every type of flight habit of the butterflies and to take advantage of the daylight (Gaviria-Ortiz and Henao-Bañol, 2011). The time of collection ofbutterflies varied from day to day among the stations, in order to contemplate the spatial and temporal differences along the gradient (Carrero et al., 2013). Samples were stored in individual envelops, labeled with the following data: locality, data, time, and sampling station of capture; the samples remained cool until the preparation, preservation and taxonomic determination in the laboratory (Andrade et al., 2013). In addition, the information regarding the sampling station was recorded in a field book.
Most of the records obtained in this study are currently a repository in the Sistema de Información de Biodiversidad (SIB-Colombia) under the certifications 15825BEBD9E (amphibians) and 15820B48580 (butterflies).
Species distribution models (SDMs)
We generated occurrence maps of amphibians and butterflies based on the data gathered in the field, and in an occurrence search conducted by reviewing scientific publications, original descriptions, online databases (IUCN, HerpNET, GBIF, Scientific collections online-Universidad Nacional de Colombia, SiB Colombia); and an on-site revision of the biological collection of amphibians of the Instituto de Ciencias Naturales at the Universidad Nacional de Colombia and the Entomological Collection of the Universidad de Pamplona. Records of occurrence included frogs belonging to the genera: Dendropsophus (one species: 35 presence records), Gastrotheca (one species: 22 presence records), Pristimantis (four species: 84 presence records), and Tachiramantis (one species: 17 presence records) and for every species of diurnal butterflies (29 species: 266 presence records) (Table 1). The minimum number of presence records for a species was four.
We modeled the SDMs for every amphibian and butterfly species, using the maximum entropy algorithm as implemented in MaxEnt (Phillips et al., 2006) and global bioclimatic variables from WorldClim with a resolution of 30 arc seconds (~1 km2) (Hijmans et al., 2005). Given the multicollinearity of variables can result in an excessive adjustment during the modeling of species distribution (Pearson et al., 2007), we eliminated the correlated variables based on a Spearman Rank Correlation.
For every species of amphibian and butterfly, we obtained a niche model with 80 % of the data used as training data and 20 % of the data used for assessment of the model (test data). The modeling consisted of 5000 iterations, using the default parameters in MaxEnt, except for choosing 'without extrapolation,' in order to avoid artificial projections from the extreme values of ecological variables (Elith et al., 2011). To obtain the values of habitat adaptation (continuous probability from 0 to 1) we used the logistic format; such values were then converted into binary absence-presence values, based on the threshold value established for every model.
The performance assessment of every obtained model followed the criterion of commission and omission error in the area under the curve ROC/AUC (Manel et al., 2001). The tool "Estimate Species Richness" (ESR) (Brown, 2014), implemented in ArcGIS 10.3 (ESRI, 2011), converted every model to binary, and the sum up of unique species per cell allowed to estimate the model of potential richness, generating the total number of species for every 1 km2 cell. Finally, the results were validated using models of elevation, field data and vegetation cover layers (scale 1: 100000) (IDEAM, 2010).
RESULTS
The values of AUC for the SDMs of every species of butterfly and frog reached optimal values for both, the training data (> 0.9) and the test data (> 0.98) (Table 1). The most important predictors for most amphibians were the following climatic variables: BIO1 = Annual Mean Temperature, and BIO19 = Precipitation of Coldest Quarter (Table 1). For diurnal butterflies, the most important predictors were BIO3 = Isothermality (BIO2/BIO7) (* 100); BIO6 = Min Temperature of Coldest Month and, occasionally, BIO5 = Max Temperature of Warmest Month and BIO19 = Precipitation of Coldest Quarter (Table 1).
Frogs
Regarding the frogs, our findings indicated that the highest concentration of species (ESR of three to seven species) occurs between 1500 and 3000 m a.s.l. mainly towards the north, between the biogeographical units of Santurbán and Tamá (Fig. 2a). The Estimate Species Richness also projected the highest potential richness of species outside the biogeographical units studied here, in the Serranía de los Yariguíes and the Mérida Cordillera (Venezuela) from 1500 and 2000 m a.s.l. (Fig. 2a). This pattern may be due to the potential distribution of the species of Pristimantis we included because they were recorded at intermediate altitudes (Fig. 3a), which suggests the bioclimatic conditions required by these species are similar in areas lower and farer away than we initially considered.
Potentially propitious areas for the occurrence of the species of the family Craugastoridae, assessed here, are located in secondary and mature forests, and paramo. However, some of these zones exhibit high degree of fragmentation due to cattle ranching and agriculture, including the municipalities of Cucutilla and Mutiscua (Santurbán); the municipalities of Toledo and Chinácota (buffer zones of the Tamá), the villages of the municipality of Chitagá in Norte de Santander, and Guaca, in Santander (Almorzadero).
Butterflies
Regarding the potential richness of diurnal butterflies, the estimated ESR, ranging from 16 to 23 species, indicated the highest richness occurs above 3000 m a.s.l. (Fig. 2b). The species belonging to the genus Altopedialodes concentrated mainly in the border zone between the Almorzadero and Santurbán, and some areas in the municipalities of Toledo and Chinácota, in the Tamá. The Estimate Species Richness coincided with vegetation covers characteristic of shrubland, frailejones and the transition between the high Andean forest and the paramo. Some of these areas exhibit a high degree of fragmentation with perturbed areas where common species include: Colias dimera, Idioneurula erebioides, Dalla hesperioides and Linka lina; moreover, potential distribution models for these species overlap with altitudes from 2800 to 3600 m a.s.l., where the anthropic pressure is intense. However, some species like Corades chelonis, Daedalma drusilla, Lasiophila circe, Lymanopoda lecromi, Ly. mirabilis, Ly. samius, Manerebia leaena, M. pluviosa and Neopedaliodes philotera, occur in areas with conserved vegetation covers, which coincide with the SDM obtained for every species and the ESR that converged in the conserved areas of the biogeographical units Almorzadero and Santurbán.
DISCUSSION
Frogs
The richness patterns observed in this study concur with the information available for the species of the family Craugastoridae, particularly the genus Pristimantis that accounts for around 500 species (AmphibiaWeb, 2018). This group has a high presence in the Andean region, although it has adapted to a great variety of ecosystems, from humid forests (Wang et al., 2008) to Andean forests, and paramo (Heinicke et al., 2007). Meza-Joya and Torres (2016), indicated that 311 species of Pristimantis inhabit the northern Andes, reaching an altitudinal distribution above 4500 m a.s.l. Fieldwork allowed us to identify the sympatric distribution of Tachiramantis douglasi and Pristimantis mondolfi in this region (Fig. 3a) and the occurrence of a potentially new species of Pristimantis, mainly in the high Andean forest of the Tamá unit. In the high mountain, from 3500 to 3700 m a.s.l. (Fig. 3a), the ESR was three species, which matches previous observations in the area where we recorded three species of frogs: Pristimantis anolirex, P. nicefori and Gastrotheca helenae (Fig. 3a). Even so, these three species of frogs were associated to paramo in our study only P. nicefori and G. helenae have been previously identified as distinctive of the paramo (Lynch and Suárez-Mayorga, 2002).
The genera Dendropsophus and Gastrotheca, have lower presence in the Andes, but some species occur higher than 4000 m a.s.l.; therefore, the presence of these frogs in the high mountains suggests they may have adapted to particular ecosystems, such as the high Andean forest and the paramo, which could be associated to the conditions of the available habitats. For example, Andean species of Dendropsophus occur in lentic body waters, present in open and perturbed areas, as well as temporary and artificial ponds, usually in pastures far from the edge of the forest. Historical records of D. pelidna are as high as 3000 m a.s.l. (La Marca, 2004); it can inhabit the paramo and sub-paramo, but such distribution appears to be a recent invasion, similar to the documented in its closely related species D. meridensis in the Mérida Cordillera (Venezuela) (La Marca, 1994). In addition, this species is highly tolerant to habitat degradation and is capable of surviving in places where agrochemicals are intensely used (La Marca, 2004). During our fieldwork, we could confirm the latter, as individuals of D. pelidna were present in areas of paramo that have been modified into agriculture and, worth to mention, a frog was found at 3400 m a.s.l. of elevation into a container that had the remaining of a pesticide widely used for potato cultivation. This is an evidence of the problems that come along with the expansion of agriculture in the paramo, which can also trigger the spread of emergent diseases, such as chytridiomycosis in amphibians (Acevedo et al., 2016a, Acevedo et al., 2016b).
In contrast with the case above, Gastrotheca helenae inhabits the paramo Tamá, particularly the microhabitat offered by the frailejones, the mosses or some scrublands (Acevedo et al., 2014). The bioecology of the species indicates that it is susceptible to habitat changes; in the paramo Tamá fires take place along with fast habitat fragmentation and cattle ranching (Acevedo et al., 2011), despite being a protected area corresponding to the Tamá National Natural Park. Moreover, we have not found the species in any other biogeographical unit, so it has a very limited distribution, and its populations are threatened, which highlights the importance of strengthening and improving the programs for the conservation of habitats such as paramo (Albornoz et al., 2017). We, therefore, suggest the need for urgent and efficient conservation measures in the region.
Butterflies
Direct associations between butterflies and the landscape demonstrate the importance of identifying areas of endemism, species exchange and patterns of the butterflies-host plant that are essential for sustaining and conserving the high mountain ecosystem structure (Viloria et al., 2010; Marín et al., 2015). Even so, the bioclimatic variables are highly determinant to infer potential distribution scenarios, it is also necessary to take into account different factors, like landscape transformation, land conversion into agriculture and cattle ranching, which are critical causes of reduction of the distribution areas for these insects (Romo et al., 2013). These factors result in the loss of resources and reproduction zones for butterflies, which would make it difficult for species to adapt to climate change (Andrade and Amat, 1996; Andrade, 2011; Carrero et al., 2013).
The distribution of groups like Hesperids, helps us to improve our knowledge about the state of poorly known species like Ancyloxypha melanoneura, Dalla hesperioides, and Linka lina, which are associated to perturbed vegetation covers; therefore, it highlights the importance of anthropically transformed areas to harbor high values of abundance, richness, and diversity of this family of butterflies (Obregón and Fernández, 2016).
Overall, in the high mountain butterflies' community, the subtribe Pronophilina was characterized by its richness (12 genera) and wide distribution, showing a correlation of the genera Lasiophila, Lymanopoda, Neopedaliodes and Manerebia, with covers of Andean forest; the genera Corades and Pedaliodes, were associated with transition areas, and the genus Altopedaliodes was restricted to the paramo. Checking up on the information about the altitudinal distribution of groups of butterflies like Pronophilia and Coliadinae they register an increase of their richness at elevations between 2800 and 3500 m a.s.l. (Fig. 3b); there is, therefore, a concentration of species at such elevation ranges benefited from the temperature that has generated scenarios of species replacement (Fig. 3b). The latter is a process that supports the butterflies' communities and their associations with the vegetation at higher elevation gradients, between 3200 and 4000 m a.s.l. (Pyrcz et al., 2009; Viloria et al., 2010; Carrero et al., 2013).
Species replacement environments and peaks of richness occur between 2800 and 3200 m a.s.l. (Fig. 3b), including summits and small-open areas perfect for the mating behavior and reproduction of butterflies, called "Hilltopping" (Shields, 1967; Alcock, 1987; Pe'er et al., 2004; Prieto and Dahners, 2006). Moreover, these areas function as elements of increase of richness and conservation of the paramos, while promoting the spatial exchange between biogeographical units (Almorzadero, Santurbán y Tamá).
However, these Andean zones continue to undergo rapid processes of exploitation, human colonization and urbanization, fragmentation, deforestation and extraction of non-timber resources. Accelerated changes in the vegetation cover within the biogeographical units, added to the increase of agricultural zones and cattle ranching, become determinant factors for the survival of the populations. In addition, it is urgent the design of strategies that involve the local communities and the adequate local and regional authorities. The right stakeholders should start by getting to know the problematic around the high Andean amphibians and butterflies; so, they can take part in the potential solution towards the conservation of the fauna they should learn how to appreciate and value. All of the above are reasons why it is important to assess the diversity of amphibians and butterflies at elevations higher than 2500 m a.s.l. (Fig. 3a, b), as a model to identify priority areas for conservation in the high Andean region.
CONCLUSIONS
Main bioclimatic predictors for the potential richness of most amphibians' species are related to the mean annual temperature (BIO 1) and precipitation (BIO 19). For the species of butterflies, on the other hand, the main predictors of their potential richness patterns were related to isothermality (BIO 3), understood as the level of variation between diurnal and nocturnal temperatures, in relation to the range of annual temperature. Similarly, the minimum temperature of the coldest months (BIO6), the maximum temperature of the warmest months (BIO 5) and the precipitation (BIO19), had important contributions to the models.
The ESR showed distribution patterns that pointed out a spatial interconnection between the different biogeographical units (Almorzadero, Santurbán, and Tamá), for both frogs and diurnal butterflies (superfamily Papilionoidea) (Fig. 2a, b). The highest richness of species of amphibians was concentrated in the altitudinal range from 1500m to 3000 m a.s.l., which corresponds to the vegetation covers of Andean forest and High Andean forest; whereas, for butterflies, the highest richness was found above 3000 m a.s.l., mainly in the paramo.
Our results demonstrate the importance of maintaining the ecological corridors between the biogeographical units, which harbor important centers of diversity and endemism. An example is the frog genus Pristimantis; the majority of its species occur at altitudes between 2000 and 3500 m a.s.l., because this range offers the adequate habitats that contribute towards the distribution of these organisms. Similarly, the butterflies' subtribe Pronophilina exhibit high diversity in the high Andean mountains.