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Myrmecophaga tridactyla Linnaeus, 1758 is the largest extant anteater, being distributed in most biomes from southern Central America and northern South America. Herein, we analyzed cranial and postcranial elements of three partial skeletons of M. tridactyla found submerged in Abismo Anhumas cave (Bonito, Mato Grosso do Sul, Brazil). The bones collected were the skull (LEG 2598), left humerus (LEG 2601), ungueal phalanx (LEG 2602), and lumbar vertebrae (LEG 2599; LEG 2600). Radiocarbon dating and isotope analyses indicate that these animals lived between 360 and 560 cal a BP in an arboreal to open savanna habitat associated with the Cerrado, a Seasonal Dry Forest. Radiocarbon‐dated oxygen isotopes are possibly in agreement with dated oxygen isotopes found in stalagmites, suggesting a wet period between 442–364 cal a BP in the region. Finally, we created paleo‐species distribution models, which allowed the generation of a consensus map showing a historically stable area between 21 and 6 ka for this species. Currently, more than 50% of this area has been destroyed by human activity. [ABSTRACT FROM AUTHOR]

Abstract Background Understanding how to connect habitat remnants to facilitate the movement of species is a critical task in an increasingly fragmented world impacted by human activities. The identification of dispersal routes and corridors through connectivity analysis requires measures of landscape resistance but there has been no consensus on how to calculate resistance from habitat characteristics, potentially leading to very different connectivity outcomes. Methods We propose a new model, called the Time-Explicit Habitat Selection (TEHS) model, that can be directly used for connectivity analysis. The TEHS model decomposes the movement process in a principled approach into a time and a selection component, providing complementary information regarding space use by separately assessing the drivers of time to traverse the landscape and the drivers of habitat selection. These models are illustrated using GPS-tracking data from giant anteaters (Myrmecophaga tridactyla) in the Pantanal wetlands of Brazil. Results The time model revealed that the fastest movements tended to occur between 8 p.m. and 5 a.m., suggesting a crepuscular/nocturnal behavior. Giant anteaters moved faster over wetlands while moving much slower over forests and savannas, in comparison to grasslands. We also found that wetlands were consistently avoided whereas forest and savannas tended to be selected. Importantly, this model revealed that selection for forest increased with temperature, suggesting that forests may act as important thermal shelters when temperatures are high. Finally, using the spatial absorbing Markov chain framework, we show that the TEHS model results can be used to simulate movement and connectivity within a fragmented landscape, revealing that giant anteaters will often not use the shortest-distance path to the destination patch due to avoidance of certain habitats. Conclusions The proposed approach can be used to characterize how landscape features are perceived by individuals through the decomposition of movement patterns into a time and a habitat selection component. Additionally, this framework can help bridge the gap between movement-based models and connectivity analysis, enabling the generation of time-explicit connectivity results.