Introduction
Understanding species coexistence and biodiversity maintenance has long been a central subject for ecologists, so the theory of community assembling based on the ecological niche concept has dominated community ecology for almost a century. However, understanding the mechanisms of species coexistence remains hard to elucidate (Niu et al. 2009). One of the most widely cited principles is competitive exclusion (two or more species cannot have exactly the same niche in a habitat and achieve long-term coexistence), which shapes community dynamics (Gause 1934; Albrecht and Gotelli 2001; Valeix et al. 2007). Therefore, if the resources available for species (food, space, shelter, and others) in a given ecosystem are limited, one species is ultimately displaced from the community, or this triggers changes in its morphology and behavior, thereby modifying its essential resource requirements (Hutchinson 1959; MacArthur and Levins 1967; Di Bitetti et al. 2010). When resources and habitat availability are limited, potentially competing species can coexist through niche differentiation (Schoener 1974; Gordon 2000; Nunez 2011), body sizes, or traits (Rosenzweig 1966; Hunter and Caro 2008). For example, they can change the time of daily activity, select a different area, modify their morphology to use different strata of the habitat, or feed on different prey species, thereby decreasing competition intensity. This has been explained for several groups of carnivores, such as mustelids (Rosenzweig 1966), canids, mephitids, procyonids, and ursids (Hunter and Caro 2008), as well as felids (Di Bitetti et al. 2010; Romero-Muñoz et al. 2010; Hernández-Saintmartín et al. 2013; Ávila-Nájera et al. 2016; Porfirio et al. 2017; Santos et al. 2019).
The temporal and spatial axes of the fundamental niche, which include the abiotic and biotic elements used by a species that does not face competition, have been used to explain the coexistence of species through their differential use of these elements as a segregation strategy to evade competitors or predators. This strategy can strongly influence the structure of feline populations, affecting their distribution, relative abundance, and activity patterns (Carothers and Jaksic 1984; Di Bitetti et al. 2010). Similar-sized sympatric felines sharing similar ecological requirements and life histories frequently exploit the same resources (Foster et al. 2013), which should lead to competitive exclusion if it were not for the spatial or temporal partition of the ecological niche (Valeix et al. 2007). Therefore, interspecific competition can induce niche segregation to avoid interference and improve hunting efficiency through optimal foraging (Cozzi et al. 2012).
Human disturbance of natural areas decreases biodiversity and generates indirect and cascading negative effects, such as the alteration of species behavior and interspecific interactions. These can limit the use of space and time, thus affecting the activity patterns of species, niche partitioning, and community structure (Frey et al. 2017). Information on these aspects can only be obtained by using non-invasive monitoring technologies and techniques such as camera traps and photo trapping, whose implementation in large areas in the mid and long term is essential in generating this important knowledge.
Three species of medium-sized felines are distributed in the Sierra Madre del Sur (SMS) of Guerrero: jaguarundi (H. yagouaroundi), ocelot (L. pardalis), and margay or tigrillo (L. wiedii;Ruiz-Gutiérrez et al. 2020). Many aspects of the natural history of these felids and the factors allowing their coexistence in this area are unknown. Therefore, the present work analyzes information gathered over 10 years in the SMS of Guerrero to establish the temporal and spatial use patterns of these three species as a coexistence mechanism.
Our initial hypothesis was that if the three medium-sized felines coexist through the differentiated use of time and space in the SMS of Guerrero, a low or moderate overlap would be expected in these two ecological niche axes. In addition, we also expected a coincidence between the use of time and space concerning the presence of potential prey and a discrepancy relative to the presence of humans and livestock. Finally, activity patterns were expected to be consistent for all three species across the study area.
Therefore, this work aimed to identify the spatio-temporal patterns of the three felines and their potential prey and the influence of the presence of humans and livestock on the use of collection stations during sampling through information recorded with camera traps.
Materials and methods
Study Area. The study consisted of nine systematic sampling campaigns using camera traps in eight landscapes of the Sierra Madre del Sur (SMS) ecoregion of the state of Guerrero (INEGI-CONABIO-INE 2008). The landscapes considered cover an area of 1,170 km2 and are located within ejidos and rural communities in the SMS foothills and highlands. They display wide environmental heterogeneity, which includes eight vegetation types: Tropical Deciduous Forest (TDF), Tropical Subdeciduous Forest (TSF), Pine Forests (PF), Oak Forest (OF), Pine-Oak Forest (POF), Oak-Pine Forest (OPF), Mountain Cloud Forest (MCF), Savanna (SAV), in addition to areas with secondary vegetation, grasslands, and crops (Ruiz-Gutiérrez et al. 2020). These landscapes stretch across an altitudinal range from 350 masl to more than 2,800 masl (Table 1). They are located in the municipalities of Ajuchitlán del Progreso, Chilpancingo de los Bravo, Coyuca de Benítez, Petatlán, Técpan de Galeana, Tecoanapa, Tlacoachistlahuaca, and Xochistlahuaca (Figure 1).

Figure 1 Location of the study area. The figure shows the eight landscapes where sampling was conducted and the ecoregions in the state of Guerrero, Mexico.
Field Work. Sampling took place from April 2009 to June 2019 in the eight landscapes. In each, sampling was carried out with a duration between two and six months, covering areas of different sizes (between 81 km2 and 270 km2); these comprised 9 to 21 quadrants measuring 9 km2 each (Table 1). This work was part of the National Census of the jaguar and its preys (Chavez et al. 2007).
Table 1 Location information of the landscapes in the municipalities that make up the SMS of Guerrero. It indicates the years and months in which the fieldwork was carried out, the number of stations installed with their respective sampling effort by landscape, the territorial extension sampled, and some landscape characteristics such as altitudinal range and vegetation types. #S, Number of Camera trap stations; SE, sampling effort; BTC, Tropical Deciduous Forest; BTS, Tropical Subdeciduous Forest; BP, Pine Forest; BQ, Oak Forest; BQP, Pine-Oak Forest; BMM, Mountain Cloud Forest; SAB, Savanna.
| Landscape number | Municipality name | Sampling year | Sampling months | EF/EM | Altitudinal range (m asl) | Sampling area (km2) | Vegetation types |
|---|---|---|---|---|---|---|---|
| 1 | Coyuca-Chilpancingo | 2009 | April-May | 65/2370 | 900-1900 | 117 | TDF, POF, PF, OPF |
| 2 | Petatlán | 2011 | April-May | 67/3486 | 408-1479 | 198 | TDF, TSF, OF, OPF, POF, MCF |
| 3 | Tecpan, Cordón Grande | 2013 | January-April | 32/2438 | 1299-2810 | 108 | TSF, OPF, POF, MCF |
| 4 | Tecpan, Humedades | 2014 | March-June | 27/1380 | 514-1417 | 126 | TDF, TSF, OF, PF, POF, MCF |
| 5 | Técpan, Regional | 2015 | November-May | 53/6314 | 648-2317 | 270 | TDF, TSF, OF, PF, POF, MCF |
| Tecpan, Regional | 2019 | March-June | 20/2040 | 648-2317 | 270 | TDF, TSF, OF, PF, POF, MCF | |
| 6 | Tecoanapa | 2016-2017 | November-January | 38/1700 | 358-1103 | 81 | TDF, TSF, OF, POF, OPF, SAV |
| 7 | Tlacoachistlahuaca-Xochistlahuaca | 2017 | April-June | 25/2618 | 522-1498 | 117 | TDF, TSF, OF, OPF, POF |
| 8 | Chilpancingo, Jaleaca | 2017-2018 | November-March | 36/4668 | 649-1500 | 117 | TDF, OF, OPF, POF |
In each quadrant, we installed two to three photo trapping stations, each including one and sometimes two camera traps (double stations) separated by 1 to 3 linear kilometers between them. To capture the photographs, we used mainly Cuddeback Digital® camera traps (Xpert, Attack, F2 IR, C1 X-Change Color, and E3 IR), supplemented with Scoutguard® (Sg560) and LTL Acorn® 6210MC. The number of camera traps used for landscape sampling varied between 20 and 80, using a total of 382 cameras in 363 sampling stations; the sampling period fluctuated between 30 and 165 consecutive days. The photo trapping stations were installed on footpaths, roads, nature trails, and water bodies, considering sites with traces (Chavez et al. 2013). Cameras were affixed to tree trunks at a height between 30 cm and 50 cm above the ground, at an angle that allowed capturing the flanks of the individuals; these cameras were set with the date and time, to capture one event per minute over 24 hours (Chavez et al. 2013; Ruiz-Gutiérrez et al. 2020).
Daily Activity Patterns and Overlap Coefficient. The factors analyzed to understand the coexistence of species included daily activity patterns, their overlap, spatial co-occurrence of felines, and the influence exerted by the presence of potential prey, humans, and livestock in the use of the habitat by felines.
Daily activity patterns were analyzed using independent records for each feline species and their potential prey. Only those species with at least 11 independent records were considered (Monroy-Vilchis et al. 2011). Photographic records were considered independent when they met any of the following characteristics: 1) consecutive photographs of different individuals of the same species, 2) photographs of the same species with a separation of one hour when the identification of each individual was impossible, and 3) each individual in a photographed group (Ávila-Nájera et al. 2016; Contreras-Díaz et al. 2021).
The analysis considered independent records of jaguarundi, ocelot, and margay, while potential prey included 12 recorded species that can be potentially preyed on by these felines due to their size and habits. These species are American hog-nosed skunk (Conepatus leuconotus), nine-banded armadillo (Dasypus novemcinctus), opossum (Didelphis virginiana), weasel (Mustela frenata), coati (Nasua narica), raccoon (Procyon lotor), gray squirrel (Sciurus aureogaster), porcupine ( Coendou mexicanus), rabbit (Sylvilagus cunicularius), gray fox (Urocyon cinereoargenteus), long-tailed wood partridge (Dendrortyx macroura) and crested guan (Penelope purpurascens; Silva-Pereira et al. 2011; Cinta-Magallón et al. 2012; Hidalgo-Mihart et al. 2020; Pérez-Arteaga et al. 2020). The species of mammals (mid-sized and large) and birds were identified by scientific name based on the Mammal Diversity Data Base (2022) and the Peterson and Chalif field guide (1989) field guide, respectively.
The photographs of each species were grouped according to the time of capture into nighttime (20:01 hrs to 6:00 hrs), twilight (6:01 hrs to 8:00 hrs and 18:01 hrs to 20:00 hrs), daytime (8:01 hrs to 18:00 hours; Ávila-Nájera et al. 2019). Subsequently, species were sorted according to the observed activity pattern. Daily activity patterns were plotted with the Clock.24 function of the Plotrix package in R version 3.5.1 (Lemon 2006).
The overlap of daily activity patterns between the three felines and their potential prey was assessed through the overlap coefficient (d o Δ), d = , where , are the two functions of activity density over time that are compared; the coefficient can take values between 0 (no overlap) and 1 (total overlap; Ridout and Linkie 2009). Additionally, 95 % confidence intervals for the overlap coefficient were calculated from 1000 repetitions by resampling (Bootstrap; Efron and Tibshirani 1993). The statistical and graphical analyses were performed with the overlay scrip (Ridout and Linkie 2009) in R version 3.5.1 (R Core Team 2020). It is assumed that activity data are generated by a circular probability distribution. Therefore, activity patterns are contrasted against ∆ values. In this sense, ∆ values lower than or equal to the 50 percentile of our sample were considered "low-overlap values". Activity patterns ≥ percentile 51 and ≤ percentile 75 were considered “moderate-overlap values”, and values equal to or larger than percentile 76 were defined as “high-overlap values” (Monterroso et al. 2014).
To analyze whether the time of capture of each of the three species changes in each landscape or across the vegetation types of the Guerrero SMS, a contingency table was constructed with the independent collection records. To determine whether daily activity patterns are random (Zar 2010), a homogeneity test was performed in R version 3.5.1. Specifically, we evaluated a) whether the daily time of capture of the three species remains constant across all the sampled landscapes; b) whether the daily time of capture remains constant when contrasted by vegetation types.
To know whether environments with human activities influence the strategies of temporal and spatial use of the habitat by feline species (Frey et al. 2017), we evaluated whether the presence of humans and livestock in photo trapping stations affects the activity patterns of the three felines in the study area. To this end, we categorized the registration data (presence-absence of humans and presence-absence of livestock in the photo trapping stations), and then the patterns were evaluated with the overlap package. In addition, to calculate whether there are significant differences in the variation of the hours of activity of the felines in the SMS considering the presence of humans and livestock, a non-parametric Mann-Whitney U-test was performed using the program Past V.4.05. (Zar 2010; Hammer and Harper 2006).
To evaluate the co-occurrence of species, two collection points within the same cell in a two-dimensional grid are considered inputs. To this end, it is necessary to locate the objects in space and measure the distance between those objects (Stephens et al. 2017). This work considered the number of photo trapping stations in which each species was recorded within each 9 km2 quadrant and used the equation by Stephens et al. (2019) to estimate the degree of spatial co-occurrence, epsilon (ε).
Where: X and Y are the species, whose co-occurrence will be evaluated, N is the number of records for each species in a particular site or collection station, and ε corresponds to the degree of spatial co-occurrence between species X and Y.
Epsilon (ε) values of zero indicate no interaction between the species; if ε ≠ 0, an interaction is inferred, which can be either positive or negative. If ε > 0, species co-occur more frequently than expected in the absence of interaction; conversely, when ε < 0, these two species co-occur less frequently than expected. ε values lower than -1.96 are interpreted as a repulsive interaction, corresponding to a pair of species that do not co-occur; conversely, positive ε values above 1.96 correspond to a pair of species that do interact, that is, an attractive interaction (Stephens et al. 2017).
Results
A total of 413 photographic records of the three feline species were obtained, of which 365 were considered independent; for potential prey, 2,287 independent records were captured (Table 2).
Table 2 Results of daily activity patterns and number of records of medium-sized felines and their potential prey in Sierra Madre del Sur of Guerrero, Mexico. Nighttime (20:01 hrs-6:00 hrs); twilight (6:01 hrs-8:00 hrs and 18:01 hrs-20:00 hrs); daytime (8:01 hrs-18:00 hrs); ND, not determined (without the minimum of 11 records).
| Order/Family/Species | Number of independent records | Activity patterns |
|---|---|---|
| Mammals | ||
| Carnivora | ||
| Felidae | ||
| Leopardus pardalis | 157 | Nocturnal |
| Leopardus wiedii | 161 | Nocturnal |
| Herpailurus yagouaroundi | 47 | Diurnal |
| Canidae | ||
| Urocyon cinereoargenteus | 545 | Nocturnal |
| Procyonidae | ||
| Nasua narica | 414 | Diurnal |
| Procyon lotor | 40 | Nocturnal |
| Mustelidae | ||
| Mustela frenata | 8 | ND |
| Conepatus leuconotus | 68 | Nocturnal |
| Didelphimorphia | ||
| Didelphidae | ||
| Didelphis virginiana | 495 | Nocturnal |
| Rodentia | ||
| Sciuridae | ||
| Sciurus aureogaster | 204 | Diurnal |
| Erethizontidae | ||
| Coendou mexicanus | 11 | Nocturnal |
| Cingulata | ||
| Dasypodidae | ||
| Dasypus novemcinctus | 187 | Nocturnal |
| Lagomorpha | ||
| Leporidae | ||
| Sylvilagus cunicularius | 240 | Nocturnal |
| Aves | ||
| Galliformes | ||
| Odontophoridae | ||
| Dendrortyx macroura | 63 | Diurnal |
| Cracidae | ||
| Penelope purpurascens | 12 | Diurnal |
Our results suggest that H. yagouaroundi has a daytime activity pattern, with 80 % (n = 47) of the total records in this category and a peak of activity occurring between 08:01 hrs and 09:00 hrs. The two Leopardus species are considered mainly nocturnal: the ocelot had 79 % (n = 157) of its records in nighttime hours, with greater activity between 19: 00 hrs and 23:00 hrs, while the margay had 80 % (n = 161) of its records at night (Figure 2).

Figure 2 Patterns and overlap of daily activity of medium-sized wild felines in Sierra Madre del Sur of Guerrero, Mexico. The shaded area corresponds to Delta (Δ) values for the overlap between pairs of species.
When human or livestock presence was recorded at the sampling stations, the daily activity patterns of the three feline species showed slight differences according to the Mann-Whitney U-test (e. g., Z = 0.25/0.35, for jaguarundi); however, these differences are not statistically significant (P = 0.79), so the overall activity patterns in the SMS do not vary for this species. The same was observed in the other two species evaluated (Figure 3).

Figure 3 Comparison of daily activity patterns, with emphasis on the overlapping time of activity among the three medium-sized wild feline species, considering the presence of human communities (left) and cattle (right). The shaded area corresponds to Delta (Δ) values for the overlap between pairs of species.
When considering the overlap (Δ) of daily activity patterns in the three species of felines, we observed an overlap of Δ = 0.87 (87 %) between margay and ocelot, with differences in the peaks of activity of each species. The overlap was Δ = 0.26 (26 %) between jaguarundi and margay and Δ= 0.22 (22 %) between jaguarundi and ocelot (Figure 2).
Considering our hypothesis that the activity patterns of the three feline species are constant throughout the study area, our results showed that the frequencies of the time of daily activity of jaguarundi by landscape were constant throughout the study area. By contrast, those of ocelot and margay showed variations in the different landscapes sampled (P < 0.05). Considering the vegetation types sampled in the SMS, the period of activity of each of the three species also showed considerable variation, reaching statistical significance (P < 0.05).
Regarding potential prey, 2,287 records were captured of 10 species of mid-sized mammals and two bird species, considered here as potential prey for the three feline species. The highest temporal overlap values between predators and their potential prey in this study were as follows. Between ocelot and its potential prey: tlacuache (Δ = 0.83), rabbit (Δ = 0.82), armadillo (Δ = 0.82), porcupine (Δ = 0.80). Between margay and its potential prey: hog-nosed skunk (Δ = 0.90), opossum (Δ = 0.85), gray fox (Δ = 0.84), rabbit (Δ = 0.82), armadillo (Δ = 0.82). And between jaguarundi and its potential prey: long-tailed wood partridge (Δ = 0.79), gray squirrel (Δ = 0.77), coati (Δ = 0.70; Table 3).
Table 3 Overlap coefficient (∆) and co-occurrence values ( Ɛ ) of the three medium-sized felines and their potential prey in Guerrero, Mexico. Epsilon ( Ꜫ ) values lower than -1.96 or higher than 1.96 are significant (marked in bold). Negative values (repulsive interaction) correspond to species with which they do not co-occur; positive values above 1.96 correspond to species that co-occur (attractive interaction).
| Taxon | H. yagouaroundi ∆ Ꜫ | L. pardalis ∆ Ꜫ | L. wiedii ∆ Ꜫ |
|---|---|---|---|
| Mammals | |||
| Carnivora | |||
| Felidae | |||
| Herpailurus yagouaroundi | 0.22/ 3.22 | 0.26 / 6.00 | |
| Leopardus pardalis | 0.88 / 2.61 | ||
| Canidae | |||
| Urocyon cinereoargenteus | 0.21 / 1.84 | 0.84 / 3.62 | 0.84 / 0.49 |
| Procyonidae | |||
| Nasua narica | 0.70 / 0.22 | 0.44 / 1.53 | 0.47 / 2.69 |
| Procyon lotor | 0.32 / -0.03 | 0.78 / 1.42 | 0.82 / -0.08 |
| Mustelidae | |||
| Mustela frenata | 0.13 / 3.51 | 0.10 / 3.70 | 0.13 / 1.03 |
| Conepatus leuconotus | 0.23 / 3.21 | 0.86 / 2.09 | 0.91 / 4.62 |
| Didelphimorphia | |||
| Didelphidae | |||
| Didelphis virginiana | 0.15 / 2.54 | 0.83 / 1.55 | 0.85 / 4.75 |
| Rodentia | |||
| Sciuridae | |||
| Sciurus aureogaster | 0.77 / 4.65 | 0.18/ 2.44 | 0.22 / 4.19 |
| Erethizontidae | |||
| Sphiggurus mexicanus | 0.25 / 1.26 | 0.80 / 0.66 | 0.81 / 1.89 |
| Cingulata | |||
| Dasypodidae | |||
| Dasypus novemcinctus | 0.16 / 1.30 | 0.82 / 0.53 | 0.84 / 1.09 |
| Lagomorpha | |||
| Leporidae | |||
| Sylvilagus cunicularius | 0.28 / 3.89 | 0.82 / -0.72 | 0.83 / 3.66 |
| Aves | |||
| Galliformes | |||
| Odontophoridae | |||
| Dendrortyx macroura | 0.79 / 6.69 | 0.15 / 2.18 | 0.19 / 3.45 |
| Cracidae | |||
| Penelope purpurascens | 0.52 / 0.53 | 0.20 / 0.46 | 0.23 / 0.78 |
Spatial co-occurrence values among the three feline species were significant positive epsilon (ε) values ranging between 2.61 and 6, indicating that these species share the space significantly. With the rest of the mammals (potential prey), the values are mostly significant and positive, except for some pairs of species with low values (<1.96) and even negative values, such as the case between H. yagouaroundi and P. lotor or between L. pardalis and Sylvilagus cunicularius, which showed no spatial co-occurrence (Table 3).
Discussion
The differential use of time (temporal segregation) is one of the factors explaining why species of similar size and feeding patterns can coexist in the same space (Schoener 1974; Kronfeld-Schor and Dayan 2003; Jaksic and Marone 2007). Despite this, the temporal partitioning of the niche is not considered the primary mechanism used by competitors to reduce competition and coexist (Herrera et al. 2018), and it is common for animals to be segregated across the trophic or spatial axes of the ecological niche (Schoener 1974). This study documented a diurnal activity pattern of jaguarundi, with a low temporal overlap with ocelot and margay (Giordano 2015). These data support the findings of other studies suggesting that jaguarundi reduces competition by interference with ocelot and margay by selecting opposite periods of activity (Carrera-Trevino et al. 2018; Santos et al. 2019). We observed that both ocelot and margay are nocturnal and have a wide overlap in their activity patterns. This finding differs slightly from the observations of Santos et al. (2019) for Central and South America, who recorded an average overlap of 69 %.
In Sierra Madre del Sur of Guerrero, margay had more records than ocelot, similar to the findings reported elsewhere (e. g., Oliveira et al. 2010; Pérez-Irineo and Santos-Moreno 2016). However, for some authors (e. g.,Carrera-Treviño et al. 2018), ocelot does not appear to negatively influence margay; consequently, there is a wide temporal and spatial overlap between both species. This evidence requires a more in-depth analysis, carrying out specific projects to test whether there are negative spatiotemporal interactions between both species.
The estimated daily activity patterns show that ocelots and margays were active between 17:00 hrs and 06:00 hrs (exclusively at night), similar to other studies (Carrera-Treviño et al. 2018; Di Bitetti et al. 2010). However, some authors have reported occasional daytime activity (Aliaga-Rossel et al. 2006; Di Bitetti et al. 2010; Briones et al. 2016; Pérez-Irineo and Santos-Moreno 2016; Santos et al. 2019). This indicates slight variations in the activity patterns of the species in the different regions it inhabits but that its daily activity is mainly nocturnal. Jaguarundi maintained a consistent daily activity pattern in all landscapes, consistent with our initial hypothesis; however, the pattern changes when vegetation types are considered. Separately, the daily activity patterns of ocelot and margay showed differences considering both factors. As for the records for each of the three species, the presence of livestock generated a difference only in the daily activity pattern of jaguarundi; however, this was not significant.
The presence of potential prey shows a low and moderate overlap of their activity patterns with those of felines (between 25 % and 58 %). Therefore, a broader set of factors likely determines the temporary use of habitat. For example, jaguarundi shared a high temporal overlap (>70 %) with only three of the 12 potential prey (Dendrortyx macroura, Sciurus aureogaster, and Sylvilagus cunicularius) recorded here; Nonetheless, it is important to consider that this species also feeds on other groups of animals, such as invertebrates, birds, and reptiles (Tófoli et al. 2009; Giordano 2015), which are of diurnal habits. Ocelot and margay share a high temporal overlap with seven of their potential prey whose activity is nocturnal. This could influence the daily activity patterns of both species; however, prey abundance may also influence feline patterns, as suggested by Botts et al. (2020), An evaluation of the relationship between prey richness, foraging habits, richness of eating habits, and avoidance mechanisms among predators is necessary to identify the factors that influence the daily activity patterns of felines.
Margay showed a high overlap of its daily activity pattern with ocelot, possibly to minimize competition and avoid conflict. This feline uses the arboreal stratum differentially and frequently, preferring sites with low ocelot presence (Di Bitetti et al. 2010). This is partially consistent with our data, where margay was the only feline species captured in 63 stations. However, the two species converged in 22 stations, which may indicate that even when the two species were captured at the same time and station, the time elapsed between one record and the next may imply that the two species did not run into one another.
On the other hand, jaguarundi, ocelot, and margay displayed different daily activity patterns, which may allow a high spatial co-occurrence since it substantially decreases the probability of an agonistic encounter between them. However, the latter is hard to demonstrate, although potential intra-guild predation exists (De Oliveira and Pereira 2014).
With respect to prey, eight species co-occurred with felines significantly and more frequently than expected (Table 3). The presence of potential prey species shows a moderate influence on the spatial use of the habitat by felines because only between 41 % and 50 % of these preys coincide with spatial co-occurrence. In contrast, Santos et al. (2019) argue that prey availability importantly influences the use of space by these felines, even to a greater degree than environmental variables or interactions between species.
Low ecological niche overlap in some axes indicates coexistence between species (Hardin 1960; Carrera-Treviño et al. 2018), as observed along the temporal axis between margay and jaguarundi. However, this work documented that species with high temporal overlap, such as ocelot and margay, can coexist in the same area due to subtle differences in the foraging behavior and daily activity patterns. Therefore, this temporal segregation mechanism may effectively reduce competition between both species (Carothers and Jaksic 1984; Di Bitetti et al. 2010). Other mechanisms may also participate in this respect, such as the differentiated use of the habitat and the microhabitat (Hunter and Caro 2008), trophic differentiation, and prey availability, diversity, and abundance (Di Bitetti et al. 2010; Botts et al. 2020).
The daily activity and habitat use patterns of medium-sized felines result from species adaptation to biotic and abiotic interactions. However, anthropogenic factors such as habitat loss and illegal hunting of these predators and their potential prey may exert an additional influence on them. The results of this study show two coexistence mechanisms. The first implies a marked segregation in the temporal axis of the ecological niche by jaguarundi, whose daily activity pattern is diurnal. In the second, despite a considerable temporal and spatial overlap between ocelot and margay, the coexistence between these species is possible due to the segregation of the ecological niche in one of these two axes.
Our finding of moderate spatial and temporal coincidence with their prey suggests that there are strategies among felines that were not measured in the present study. Therefore, we should evaluate which prey are actually consumed and whether their consumption is different or similar among species (the diet axis of the niche).
Although evaluating the interactions between species with similar biological and ecological traits is an emerging and highly complex topic to analyze in a wide geographic space, as in the present study, it may be the starting point for future studies that address the interactions between pairs of species in further detail. However, future evaluations should cover the three main axes (time, space, and diet) of the ecological niche at different scales and resolutions to improve our understanding of the mechanisms favoring coexistence in these species.










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