ATLANTIC-CAMTRAPS: a dataset of medium and large terrestrial mammal communities in the Atlantic Forest of South America.

Our understanding of mammal ecology has always been hindered by the difficulties of observing species in closed tropical forests. Camera trapping has become a major advance for monitoring terrestrial mammals in biodiversity rich ecosystems. Here we compiled one of the largest datasets of inventories of terrestrial mammal communities for the Neotropical region based on camera trapping studies. The dataset comprises 170 surveys of medium to large terrestrial mammals using camera traps conducted in 144 areas by 74 studies, covering six vegetation types of tropical and subtropical Atlantic Forest of South America (Brazil and Argentina), and present data on species composition and richness. The complete dataset comprises 53,438 independent records of 83 species of mammals, includes 10 species of marsupials, 15 rodents, 20 carnivores, eight ungulates and six armadillos. Species richness averaged 13 species (±6.07 SD) per site. Only six species occurred in more than 50% of the sites: the domestic dog Canis familiaris, crab-eating fox Cerdocyon thous, tayra Eira barbara, south American coati Nasua nasua, crab-eating raccoon Procyon cancrivorus and the nine-banded armadillo Dasypus novemcinctus. The information contained in this dataset can be used to understand macroecological patterns of biodiversity, community, and population structure, but also to evaluate the ecological consequences of fragmentation, defaunation, and trophic interactions.

Population Genetics of Jaguars (Panthera onca) in the Brazilian Pantanal: Molecular Evidence for Demographic Connectivity on a Regional Scale.

Habitat loss and fragmentation are important threats to carnivores worldwide, and can be especially intense for large predators. Jaguars have already been extirpated from over half of their original area of distribution, and few regions still maintain large populations. For these, detailed understanding is crucial for setting appropriate recovery targets in impacted areas. The Pantanal is among the best examples of a region with a large jaguar population in a healthy environment. Here, we analyzed 12 microsatellite loci to characterize genetic diversity and population structure of 52 jaguars sampled in 4 localities of the southern Pantanal, and compared them with prior studies of heavily fragmented populations of the Atlantic Forest. Although we observed some internal structure among the Pantanal localities, our results indicated that this area comprises a single population with high genetic variability. Moreover, our comparative analyses supported the hypothesis that the strong population structure observed in the Atlantic Forest derives from recent, anthropogenic fragmentation. We also observed significant but low levels of genetic differentiation between the Pantanal and Atlantic Forest populations, indicating recent connectivity between jaguars occurring in these biomes. Evidence for admixture between the Pantanal and a population on the western boundary of the Atlantic Forest corroborates the transitional nature of the latter area, where the jaguar population has already been extirpated. Our results can be used to understand jaguar population dynamics in a region that is less disturbed than the Atlantic forest, and to support the design of conservation strategies that maintain and restore natural connectivity among currently isolated areas.

Can Scat Analysis Describe the Feeding Habits of Big Cats? A Case Study with Jaguars (Panthera onca) in Southern Pantanal, Brazil.

Large cats feeding habits have been studied through two main methods: scat analysis and the carcasses of prey killed by monitored animals. From November 2001 to April 2004, we studied jaguar predation patterns using GPS telemetry location clusters on a cattle ranch in southern Pantanal. During this period, we recorded 431 carcasses of animals preyed upon by monitored jaguars. Concurrently, we collected 125 jaguar scats opportunistically. We compared the frequencies of prey found through each method. We also compared the prey communities using Bray-Curtis similarity coefficient. These comparisons allowed us to evaluate the use of scat analysis as a means to describe jaguar feeding habits. Both approaches identified prey communities with high similarity (Bray-Curtis coefficient > 70). According to either method, jaguars consume three main prey: cattle (Bos taurus), caiman (Caiman yacare) and peccaries (Tayassu pecari and Pecari tajacu). The two methods did not differ in the frequency of the three main prey over dry and wet seasons or years sampled. Our results show that scat analysis is effective and capable of describing jaguar feeding habits.