The characteristics and availability of the sleeping sites used by a group of 27 tufted capuchin monkeys (Cebus apella nigritus) were studied during 17 months at the Iguazú National Park, Argentina. We tested different hypotheses regarding possible ultimate causes of sleeping‐site selection. Most sleeping sites were located in areas of tall, mature forest. Of the 34 sleeping sites the monkeys used during 203 nights, five were more frequently used than the others (more than 20 times each, constituting 67% of the nights). Four species of tree (Peltophorum dubium, Parapiptadenia rigida, Copaifera langsdorfii and Cordia trichotoma) were the most frequently used. They constituted 82% of all the trees used, though they represent only 12% of the trees within the monkeys' home range which had a diameter at breast height (DBH) > 48.16 cm (1 SD below the mean DBH of sleeping trees). The sleeping trees share a set of characteristics not found in other trees: they are tall emergent (mean height ± SD = 31.1± 5.2 m) with large DBH (78.5 ± 30.3 cm), they have large crown diameter (14± 5.5 m), and they have many horizontal branches and forks. Adult females usually slept with their kin and infants, while peripheral adult males sometimes slept alone in nearby trees. We reject parasite avoidance as an adaptive explanation for the pattern of sleeping site use. Our results and those from other studies suggest that predation avoidance is a predominant factor driving sleeping site preferences. The patterns of aggregation at night and the preference for trees with low probability of shedding branches suggest that social preferences and safety from falling during windy nights may also affect sleeping tree selection. The importance of other factors, such as seeking comfort and maintaining group cohesion, was not supported by our results. Other capuchin populations show different sleeping habits which can be explained by differences in forest structure and by demographic differences. Am. J. Primatol. 50:257–274, 2000. © 2000 Wiley‐Liss, Inc.
The characteristics and availability of the sleeping sites used by a group of 27 tufted capuchin monkeys (Cebus apella nigritus) were studied during 17 months at the Iguazu National Park, Argentina. We tested different hypotheses regarding possible ultimate causes of sleeping-site selection. Most sleeping sites were located in areas of tall, mature forest. Of the 34 sleeping sites the monkeys used during 203 nights, five were more frequently used than the others (more than 20 times each, constituting 67% of the nights). Four species of tree (Peltophorum dubium, Parapiptadenia rigida, Copaifera langsdorfii and Cordia trichotoma) were the most frequently used. They constituted 82% of all the trees used, though they represent only 12% of the trees within the monkeys' home range which had a diameter at breast height (DBH) > 48.16 cm (1 SD below the mean DBH of sleeping trees). The sleeping trees share a set of characteristics not found in other trees: they are tall emergent (mean height +/- SD = 31.1+/-5.2 m) with large DBH (78.5+/-30.3 cm), they have large crown diameter (14+/-5.5 m), and they have many horizontal branches and forks. Adult females usually slept with their kin and infants, while peripheral adult males sometimes slept alone in nearby trees. We reject parasite avoidance as an adaptive explanation for the pattern of sleeping site use. Our results and those from other studies suggest that predation avoidance is a predominant factor driving sleeping site preferences. The patterns of aggregation at night and the preference for trees with low probability of shedding branches suggest that social preferences and safety from falling during windy nights may also affect sleeping tree selection. The importance of other factors, such as seeking comfort and maintaining group cohesion, was not supported by our results. Other capuchin populations show different sleeping habits which can be explained by differences in forest structure and by demographic differences.
Loss of livestock is one of the greatest sources of conflict between humans and large felids worldwide. The puma Puma concolor is the most widespread apex predator in the Americas, and conflicts between this felid and humans are common throughout its geographical range. In response to predation on livestock, humans persecute and hunt pumas. We identified the main environmental and anthropogenic variables that define puma–livestock conflict areas in the Americas as 12 conflict predictor variables, and explored the techniques proposed to mitigate conflicts between the puma and livestock producers. We conducted a systematic search and subsequent review of the scientific literature and found 92 publications on puma–livestock conflicts. Through single‐variable analyses and generalised linear models (GLM), we identified which of the 12 conflict predictors were most predictive of the occurrence of predation. The single‐variable analyses showed that high livestock density (goat, sheep, and cattle), low latitudes, low habitat steepness, low co‐predator richness, high distance to habitat (shrub), and high distance to roads characterised areas with conflict. The binomial GLM indicated that areas with conflicts were primarily located in the temperate southern hemisphere and characterised by densities of livestock. The most frequently cited conflict mitigation techniques were ‘improving livestock management’, ‘predator control’, and the ‘use of fencing’. Although our knowledge about the puma and its relationships with human communities has improved, there are wide geographical gaps, and many facets of puma–livestock conflicts are still little understood. Scientists should work with local stakeholders to generate reliable information regarding the ecological and societal consequences of puma–livestock conflicts, and to develop conflict mitigation techniques that could facilitate the coexistence of pumas and humans.
We radio-tracked 16 individuals (6 males, 10 females) of the little known Molina’s hog-nosed skunk ( Conepatus chinga (Molina, 1782)) and compared home-range dynamics, movement rates, and densities between a protected area and a landscape fragmented by agriculture. The mean home-range size (95% fixed kernel) was 166.7 ha (SD = 107.5 ha), without significant differences between areas. Home-range size varied significantly between males (mean = 243.7 ha, SD = 76.5 ha) and females (mean = 120.4 ha, SD =77.6 ha). Overlap between home range and core area was extensive between and within sexes in the protected area and more limited in the cropland area. Mean distance traveled between two consecutive resting sites was 269.5 m (SD = 365 m) and did not differ between areas, although movements were greater for males than females. Distance moved was influenced by seasons, being greater during the cold period. Finally, density estimates were consistently greater at the protected area. We argue that home-range size in Molina’s hog-nosed skunks is an inherent species property, whereas population density and territoriality are more flexible parameters that could reflect how the ecosystem state was affected. In our study, the greater dispersion of food patches in the cropland area than in the protected area may be the major factor influencing these parameters.
Biological invasions are one of the main components of human-caused global change and their negative impact on invaded ecosystems have long been recognized. Invasive mammals, in particular, can threaten native biodiversity and cause economic impacts in the region where they are introduced, often through a wide range of conflicts with humans. Although the wild boar, Sus scrofa, is considered by the IUCN as one of the 100 invasive species most damaging to biodiversity in the world, in Argentina there have only been a few studies focused on its ecology with most of them conducted in protected areas. In this study, we evaluated the effect of several factors related with human disturbance, landscape composition, degree of fragmentation and the presence of a potential competitor and a predator on the habitat use of wild boar using data from camera traps and site-occupancy modeling. Additionally, we described the daily activity pattern of the species and we studied the level of overlap with both a potential competitor and a predator. The sampling effort totaled 7,054 camera trap days. Farm density, proportion of shrubland and proportion of grassland with bushes were the detection variables included in the most supported model whereas proportion of grassland and capture rate of the Pampas fox Lycalopex gymnocercus were the occupancy variables included in the most supported model. However, the proportion of grassland was the only variable that showed statistically significant support in the averaged model, indicating that habitat use of wild boar in this area was significantly negatively affected by the level of grass cover. Wild boars were mostly nocturnal, with more activity between 21:00 and 3:00 and a peak around midnight. Wild boars showed a high level of overlap with the activity pattern of the Pampas fox and a low overlap with the activity pattern of the puma Puma concolor. Despite wild boar being introduced in Argentina a few decades ago, this study is the first landscape-scale research carried out in an agricultural landscape in Argentina and the first one based on camera-trapping data. Our study contributes valuable information that could be used to design strategies to reduce wild boar population or to minimize the damage caused by this invasive species in Argentina.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
hi@scite.ai
334 Leonard St
Brooklyn, NY 11211
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.