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Globally, large mammals are in decline. Biological traits including low population densities and longer generation times make them particularly susceptible. Their losses can have wide-ranging ecological consequences, including dramatic reductions in total heterotrophic energy use. To determine the key drivers of variation in energy use, we calculated daily rates of energy flow across the globe for 241 ecological communities, encompassing 441 large mammal species, using camera trap inventories. These were scaled up from individual metabolic rates and compared with various climate, anthropogenic, geographic, and species richness variables using three analytical methods: model selection, spatial autoregression, and a multiple regression method that completely removes multicollinearity known as least-squares orthogonalization. Community energy use is significantly lower in the Neotropics and Australasia than in the Afrotropics and Eurasia. This pattern mirrors the spatial distribution of megafaunal extinction intensity during the Late Pleistocene. Rates not being greatly reduced in the Nearctic is a notable exception to this pattern, and is likely due to the high abundances of certain species not present in the other highly-impacted realms. There are also strong negative correlations between community per-gram rates of energy flow and species richness, indicating that megafauna persist mainly in more speciose communities. The strong geographic differences that dominate energy use patterns indicate that past mammal extinctions are the ultimate cause of modern energetic variation in large mammal communities. If so, then ongoing losses of large mammals will greatly impact community and ecosystem functioning.

High predation rates threaten many ground-nesting farmland birds and are difficult to address through conventional measures such as lethal predator control or fencing. Landscape-based approaches for conservation measures promise an alternative by reducing predator - bird encounters, but require detailed knowledge of landscape effects on predation risk. Different habitat elements attractive to predators could have opposing effects on neighbouring nesting habitats, with implications for conservation: Increased predation risk due to higher predator activity (A) or reduced predation risk by distracting predators (B). Here we focus on the placement of conservation measures using flower blocks targeted at Grey Partridges in a Central European Farmland. Based on a three-year camera trap dataset, we investigated effects of landscape structure and composition on mammalian predator activity within flower blocks at two scales (100 m and 500 m radius around the camera) with generalized linear mixed models. Length of linear edge structures, i.e., field block borders, was most important, with a greater availability of linear edge structures leading to a decrease in predator activity at both scales (hypothesis B). Conversely, predator captures at both scales increased with increasing extensive vegetation area (i.e., permanent grassland, flower blocks and fallows) and in proximity to roads, indicating that these may attract predators and increase predator densities (hypothesis A). Our results suggest that a landscape-based approach can mitigate predation risk for ground-nesting birds in flower blocks and analogous conservation measures. Highly structured, small-scale agricultural landscapes seem to be particularly important for reducing mammalian predator activity in flower blocks. [ABSTRACT FROM AUTHOR]

Although previously close to extirpation in the southeastern United States, American black bear (Ursus americanus) abundance and distribution have increased with habitat management and harvest regulation. The north Georgia black bear population, the most abundant and widely distributed in the state, is currently being exposed to pressures from increasing anthropogenic disturbances, such as recreation and vehicle traffic. We evaluated the effects of environmental factors and anthropogenic activity on habitat use of black bears within a wildlife management area open to public recreation. We used detection/non‐detection data from camera surveys conducted at 448 locations from April to December 2023 to fit hierarchical single‐species occupancy models. Black bear detection was best explained by Julian date, its quadratic effect, and weekly human activity index. Detection increased through the spring, peaked in June, and declined throughout late summer and fall. In contrast to detection, occupancy was not affected by seasonal differences in black bear activity. Occupancy increased with increasing elevation, distance to water, and distance to high‐use recreation areas. The spatial distribution of food resources likely contributed to the observed black bear occupancy pattern related to elevation and distance to water, while human disturbance in the study area also influenced black bear occupancy. Thus, our results suggest that in a landscape open to public recreation, black bear occupancy was driven by a combination of environmental and anthropogenic factors. Identifying patterns of occupancy at a scale typical of management provides important information for managing black bear populations throughout the large, connected network of national forests in the Appalachian region. [ABSTRACT FROM AUTHOR]

Variation in animal abundance is shaped by scale‐dependent habitat, competition, and anthropogenic influences. Coyotes Canis latrans have dramatically increased in abundance while expanding their range over the past 100 years. Management goals typically seek to lower coyote populations to reduce their threats to humans, pets, livestock and sensitive prey. Despite their outsized ecological and social roles in the Americas, the factors affecting coyote abundance across their range remain unclear. We fit Royle–Nichols abundance models at two spatial scales in a Bayesian hierarchical framework to three years of data from 4587 camera trap sites arranged in 254 arrays across the contiguous USA to assess how habitat, large carnivores, anthropogenic development and hunting regulations affect coyote abundance. Coyote abundance was highest in southwestern USA and lowest in the northeast. Abundance responded to some factors as expected, including positive (soft mast, agriculture, grass/shrub habitat, urban–natural edge) and negative (latitude and forest cover) relationships. Colonization date had a negative relationship, suggesting coyote populations have not reached carrying capacity in recently colonized regions. Several relationships were scale‐dependent, including urban development, which was negative at local (100‐m) scales but positive at larger (5‐km) scales. Large carnivore effects were habitat‐dependent, with sometimes opposing relationships manifesting across variation in forest cover and urban development. Coyote abundance was higher where human hunting was permitted, and this relationship was strongest at local scales. These results, including a national map of coyote abundance, update ecological understanding of coyotes and can inform coyote management at local and landscape scales. These findings expand results from local studies suggesting that directly hunting coyotes does not decrease their abundance and may actually increase it. Ongoing large carnivore recoveries globally will likely affect subordinate carnivore abundance, but not in universally negative ways, and our work demonstrates how such effects can be habitat and scale dependent. [ABSTRACT FROM AUTHOR]

Prey-predator interactions across time and space strongly influence many animal communities. This study unveils the first insights into the ecology of the Eurasian red squirrel (Sciurus vulgaris) in Mongolia, and specifically in Bogd Khan Mountain Strictly Protected Area. We used by-catch data obtained from camera traps to analyze activity patterns and potential interactions with mammalian predators. Red squirrels exhibited primarily diurnal activity with occasional nocturnal forays, while potential predators like foxes (Vulpes vulpes, Vulpes corsac) and martens (Martes foina, Martes zibellina) displayed cathemeral and nocturnal patterns, respectively. The diurnal Pallas's cat (Otocolobus manul) showed the greatest activity overlap with squirrels. Suggesting predator avoidance behavior potentially mediated by olfactory cues, squirrel activity was negatively impacted by marten presence, which was in turn potentially affected by human disturbance. We highlight the need for further investigations, particularly regarding the dietary composition of Pallas's cats in forested habitats and the broader ecological implications of human disturbance on predator–prey dynamics within this crucial conservation area. [ABSTRACT FROM AUTHOR]

Following the implementation of a camera trap‐monitoring protocol of interactions between cave bats and wildlife in the Republic of Congo, we identified sustained rusty‐spotted genet (Genetta maculata) activity in Boundou cave. This cave, consisting of a single chamber, is home to a colony of several species of insectivorous bats throughout the year. Between 2022 and 2023, we recorded four events of bat or rodent consumption, one hunting attempt on bats and three feeding behaviors on insects. We describe and discuss the various behaviors and briefly elaborate on the potential epidemiological implications of bat consumption. To the best of our knowledge, our videos are the first to depict the consumption of bats by rusty‐spotted genets. [ABSTRACT FROM AUTHOR]

Context: Human activities, such as tourism and hunting, affect the spatiotemporal behaviour of wildlife. For example, it is well documented that ungulates change their spatiotemporal behaviour as a response to hunting pressure, but less is known about ungulate responses to hunting in areas where human activity is common throughout the year and ungulates are constrained by fences. Aims: In this camera-trap study, we analysed the change in spatiotemporal behaviour of wild ungulates (elk, Cervus canadensis (3519 events), moose, Alces alces (1153 events), and white-tailed deer, Odocoileus virginianus (2708 events)) in response to the hunting period in a recreational and fenced park, the Cooking Lake–Blackfoot Provincial Area, Canada. Methods: We used general linear models to compare species-specific patterns of intensity of use, calculated as events per week, in response to changes in the nature of human disturbance, namely a shift from recreation to hunting activity. In particular, we compared intensity of use in and out of the hunting season to determine whether species engaged in spatial patterns of avoidance with respect to hunting. We used daily and seasonal patterns of activity to determine how ungulates shifted their temporal use in response to hunting activity and whether they became more nocturnal as a result. Key results: We found that ungulates responded temporally to the hunting period by generally shifting their activity to more nocturnal hours, with white-tailed deer showing the biggest temporal shift, suggesting that the ungulates distinguish between consumptive and non-consumptive human activities. Nevertheless, temporal overlap between humans and all ungulate species increased during the hunting period as humans targeted times of increased ungulate activity. Spatially, the response was less distinctive and was species-specific. Elk showed little change in spatial behaviour in response to the hunting period. In contrast, moose decreased the use of trail areas and other areas frequented by humans, whereas deer, counterintuitively, increased the use of trail areas, albeit their use became much more nocturnal. Conclusions: We have shown that responses of ungulates to hunting exceed those to non-consumptive recreational use, and whereas temporal responses (increased nocturnality) were consistent across ungulate species, spatial responses were species-specific. Implications: Management in small fenced multi-use areas needs to account for shifts in the intensity of disturbance resulting from a change in human disturbance from recreational activity to hunting. Providing spatial opportunities for avoidance of humans is key for most species if hours of operation in these areas already limit the timing of human activity. Human use, including recreation and hunting, can disturb wildlife and this can be particularly problematic in fenced multi-use landscapes. This study aimed to investigate how human use, which switched from recreation-based disturbance to hunting, changed the patterns of use by native ungulates in space and time and we found consistent patterns of temporal avoidance, whereas patterns of spatial avoidance were species-specific. We make recommendations for how to minimise human impacts in multi-use recreational landscapes. Image by Darcy Visscher. [ABSTRACT FROM AUTHOR]

Conservation of threatened species is dependent on consistent population monitoring. We present the first status assessment of critically endangered Sumatran tigers (Panthera tigris sumatrae) and their prey in the Ulu Masen Ecosystem, Aceh, Indonesia. Our estimates of tiger habitat use are the first reported for a Sumatran ecosystem unprotected at the national level. During 6,732 trap nights accumulated over 23 months of camera-trap monitoring in 2020 and 2022, tigers were detected 39 times at 16 of the 52 stations. We identified 11 individual tigers but sex ratios were highly skewed: 8 males, 1 female, and 2 individuals of unknown sex. Cubs were not photographed either year and we did not observe evidence of tiger reproduction. Tiger habitat use (Ѱ = 0.52, SE = 0.15) was negatively influenced by human disturbance and positively influenced by elevation but those associations were not significant. Our study documents a widespread prey base but uncovers demographic characteristics of tigers indicative of heavy poaching pressures. We conclude that tiger-targeted protection is urgently needed to ensure the species' persistence in Ulu Masen which, together with the adjacent Leuser Ecosystem, represents the largest contiguous tiger conservation landscape remaining in Sumatra. [ABSTRACT FROM AUTHOR]

We lack many quantitative data on the current distributions of several bear species, and hypotheses about the mechanisms underlying those distributions. We raise this point by discussing visual detections of Andean bears (Tremarctos ornatus) in sampling from 14 September 2016 to 24 August 2017 in the Haramba Queros Wachiperi Ecological Reserve Conservation Concession in southeastern Peru, at 811–920 m above sea level, lower in elevation than >90% of known locations for this species on the eastern slope of the Peruvian Andes. Resumo No tenemos muchos datos cuantitativos sobre las distribuciones actuales de varias especies de osos, ni hipótesis sobre los mecanismos detrás de esas distribuciones. Ilustramos esto discutiendo unos registros visuales del oso andino (Tremarctos ornatus) durante foto trampeo del 14 septiembre 2016 al 24 agosto 2017 dentro de la Concesión para la Conservación Reserva Ecológica Haramba Queros Wachiperi, de elevaciones de 820–920 msnm, más bajos que 90% de los lugares conocidos para la especie en las laderas orientales de los Andes peruanos. [ABSTRACT FROM AUTHOR]

Insects are the major pollination vectors for angiosperms, and insects native to a given habitat can play an irreplaceable ecological role in food webs and plant reproduction. With precipitous declines in insect species over the last decades, it is urgent to document insect assemblages in native plant communities to support conservation efforts. Identifying pollinators and their pollination activity is challenging; however, emerging technological methods are providing new monitoring capabilities. In this study, we compare the accuracy of two different methods of monitoring to assess the flower‐visiting insect assemblage and likely pollinators of Encinitas baccharis (Baccharis vanessae): focal observations and video recordings from camera traps. B. vanessae is a rare, endemic species found in Coastal Sage Scrub communities in San Diego County. This federally listed species is threatened by habitat loss and fragmentation, which may also be affecting the availability of its insect pollinators. Results indicate that B. vanessae supports and is supported by a variety of flower‐visiting insect groups. The diversity of insect visitors at male and female plants were similar across all diversity measurements. The insect vectors identified were as expected given B. vanessae pollination syndrome. This syndrome also aligns with wind as a pollination vector, providing evidence of ambophily. While focal observations underreported insect activity by approximately half, the proportions of common diurnal visitors were similar with both methods. Camera traps were unable to provide sufficient detail to discern visually similar groups, but were able to record nocturnal insect activity, which was dominated by moths (Lepidoptera, 82%). While collection protocol in this study did not record the time an insect spent interacting with a flower, we anecdotally observed moths spent notably longer periods in contact with flowers than most diurnal insects. This study has implications for effective monitoring and conservation of endangered plant species and their affiliated pollinators. [ABSTRACT FROM AUTHOR]

Roads can impact population abundance due to mortality from collisions with vehicles, habitat degradation and loss of connectivity. Some species, however, can be unaffected or even positively affected by roads and roadside environments. Despite this, there is scarce information on population‐level responses to roads. To fill this knowledge gap, we sampled medium and large mammals with camera traps near two paved roads with low and high traffic volumes in agricultural landscapes in the Brazilian Cerrado. We used Royle‐Nichols' occupancy models to investigate the effects of road proximity on the local abundance of 12 mammal species with varying susceptibility to roadkill. We found that road proximity affected only three species, all of which had high roadkill rates. While two of these species exhibited lower abundance near roads, the third showed the opposite response. For most species, irrespective of their roadkill rates, variations in local abundance were strongly correlated with habitat quality and connectivity. Species' life‐history traits, individual behaviour and the impact of roads and traffic on populations over time may explain these idiosyncratic responses. [ABSTRACT FROM AUTHOR]

Simple Summary: Predation relationships and competition relationships shape interspecies coexistence in wild animal communities. Studying the temporal and spatial activity patterns of wild animals is crucial for understanding their behavior, species interactions, and resource requirements. We evaluated the spatiotemporal overlap between 15 different dominant species in the southwestern mountains of China, including Carnivora (such as Panthera pardus and Lynx lynx), Artiodactyla (such as Moschus spp. and Rusa unicolor), Primate (Macaca mulatta), and Galliformes (Crossoptilon crossoptilon, Ithaginis cruentus). We found that different species exhibit different activity patterns to reduce intense resource competition, with competition being more intense in cold seasons than warm seasons. This may be due to abundant resources in summer but scarce food in winter, as well as increased energy demands during cold seasons, as expected using physiology theory. Temporal and spatial factors regulate the interactions between apex predators, mesocarnivores, and herbivores. Prey adjust their activity patterns and spatial utilization based on predator activities; in turn, predators also adapt to the activities of their prey. To elucidate the factors influencing the daily activity rhythms of animals, 115 camera traps were established from September 2019 to June 2023 to assess the influences of interspecific relationships and seasons on the daily activity rhythms of animals in the southwest mountains of China. The species captured by the cameras included six Carnivora (such as Panthera pardus and Lynx lynx), six Artiodactyla (such as Moschus spp. and Rusa unicolor), one Primate (Macaca mulatta), and two Galliformes (Crossoptilon crossoptilon, Ithaginis cruentus). The results demonstrated that the 15 species exhibited different activity rhythms and peak activities to reduce intense resource competition. There were differences in the species' activity rhythms in different seasons, with competition among different species being more intense in the cold season than in the warm season. In predation relationships, the overlap coefficient in the cold season exceeded that of the warm season, possibly due to the abundant resources in summer and food scarcity in winter. In competitive relationships, 15 pairs of species exhibited significantly higher overlap coefficients in the cold season compared to the warm season, possibly due to increased demands for energy during the cold period or seasonal changes in predatory behavior. By analyzing the daily and seasonal activity patterns of dominant species in the study area, temporal niche overlaps were established to compare the competition levels between species. These findings indicate that the activity rhythms of the animals in this area not only result from evolutionary adaptation but are also influenced by season, food resources, and interspecific relationships (predation and competition). Thus, efforts should be made to reduce human interference, protect food resources in the winter, and monitor animals' interspecific relationships to protect animal diversity and maintain the stability of the ecosystem in this biodiversity hotspot in China. [ABSTRACT FROM AUTHOR]

Ongoing habitat loss and species extinctions require managers to implement and quantify the effectiveness of conservation actions for protecting biodiversity. Fencing, when done properly, is an important management tool for conservation in landscapes where wildlife and domestic animals co‐occur, potentially enhancing habitat use through selective exclusion of domestic species. For instance, the fencing of forest patches in the Neotropics is expected to reduce the degradation of understory vegetation by cattle, releasing these resources for the native community of browsers and fruit consumers.Here, we implemented an ecological experiment using a before‐after control‐impact design to quantify the effect of cattle exclusion on encounter probability of the native community of browsers and fruit consumers, and percent ground cover in multifunctional landscapes of the Colombian Orinoquía. We built 14 km of wildlife‐permeable fences along forest edges in four forest patches (i.e. blocks) containing control and fenced (treatment) sites. We installed 33 camera traps to obtain information about wildlife and cattle encounter probabilities, before and after the fences were constructed. We used Bayesian generalised linear mixed effects models to quantify the effect of fences via the interaction between the time period (before and after the fences were built) and treatment (control or fenced sites).Fencing was effective at reducing encounter probabilities of cattle in the treated sites, and it had a positive impact on relative encounter probabilities of four of seven studied wildlife species (herbivores including the black agouti [dry season only], lowland tapir [dry season only] and spotted paca [both seasons] and an omnivore, the South American coati [rainy season only]). The effect of fencing was negative for the collared peccary but only during the dry season. No statistically significant effect was detected for the white‐lipped peccary or white‐tailed deer.Synthesis and applications: We provide experimental evidence that fences are effective at selectively excluding cattle and increasing encounter rates of wild browsers and fruit consumers in forest patches where these species co‐occur with cattle. Our results highlight an important application of fencing ecology in Neotropical forests, where the implementation of wildlife‐permeable fences is feasible due to smaller body sizes of wildlife compared to domestic animals such as cattle. [ABSTRACT FROM AUTHOR]

This paper outlines the practice of a novel digital method in animal geographies: etho-ethnographic citizen science. I describe a project using this participatory method with local residents in inner-city London, where we worked together to use camera traps to record video footage of red fox behaviour. The research sought to build an etho-ethnographic account of fox life by tethering data collection and interpretation to local knowledge. The paper focuses on the familial relations of one particular fox, a young male living on an allotment, who plotholders call Sonny. It begins by outlining how research objectives emerged through the process of collaborative research design with plotholders, premised on their own knowledge of fox personalities, and their storied accounts of individual foxes. It then considers how the practical planning of camera placement was directed through the plotholders own socioecological knowledge of the site. Lastly, it outlines how participants continual use of the traps, and their own analysis of footage, embeds digital data within vernacular understandings of Sonny's world. In doing so the paper outlines how etho-ethnographic citizen science can potentially amplify, affirm and digitise vernacular knowledges of urban fox ethologies and geographies. [ABSTRACT FROM AUTHOR]

The degree of prey sociality reflects trade-offs between predation risk, and competition for mates and resources. Consequently, the degree of sociality is predicted to differ spatiotemporally. Variations in nychthemeral sociality are, however, understudied. We assessed the activity of solitary, territorial black wildebeest bulls (Connochaetes gnou) over rutting and non-rutting seasons. We predicted that solitary bulls would reduce their nocturnal use of territorial stands and join herds to reduce predation risk from nocturnally hunting lions (Panthera leo), but that these responses would differ across rutting and non-rutting seasons. We used camera trap data and modelled solitary bull and herd activity over 24-hour daily cycles, across rutting and non-rutting seasons. We calculated the proportion of images with solitary bulls and herds across nocturnal and diurnal periods, across both seasons. We show that solitary bulls are predominantly diurnal across both seasons, but the probability of nocturnal detection is higher in the rutting than in the non-rutting season. Furthermore, we recorded a lower proportion of solitary bulls to herds at night in the non-rutting relative to the rutting season. Thus, wildebeest bulls may trade-off predation risk for mate acquisition during the rutting season but reduce risky solitary behaviour during the non-rutting season. [ABSTRACT FROM AUTHOR]

Abstract Conservation of threatened species is dependent on consistent population monitoring. We present the first status assessment of critically endangered Sumatran tigers (Panthera tigris sumatrae) and their prey in the Ulu Masen Ecosystem, Aceh, Indonesia. Our estimates of tiger habitat use are the first reported for a Sumatran ecosystem unprotected at the national level. During 6,732 trap nights accumulated over 23 months of camera-trap monitoring in 2020 and 2022, tigers were detected 39 times at 16 of the 52 stations. We identified 11 individual tigers but sex ratios were highly skewed: 8 males, 1 female, and 2 individuals of unknown sex. Cubs were not photographed either year and we did not observe evidence of tiger reproduction. Tiger habitat use (Ѱ = 0.52, SE = 0.15) was negatively influenced by human disturbance and positively influenced by elevation but those associations were not significant. Our study documents a widespread prey base but uncovers demographic characteristics of tigers indicative of heavy poaching pressures. We conclude that tiger-targeted protection is urgently needed to ensure the species’ persistence in Ulu Masen which, together with the adjacent Leuser Ecosystem, represents the largest contiguous tiger conservation landscape remaining in Sumatra.

Simple Summary: This study addresses the growing risk of tick bites, which is becoming more prevalent due to changes in landscape, leading to an increase in wildlife that supports tick populations, raising the risk of disease transmission to humans and animals. To better understand this, we explored the ecology of ticks by examining the relationship between wildlife presence and tick abundance in two regions: an alpine hunting district and a natural park in the Apennines. We used camera traps to monitor wildlife and conducted tick sampling nearby. Additionally, we considered factors like altitude, vegetation, and climate. Our findings highlight the significant role of altitude and wildlife presence—both influenced by habitat and land management—in the global abundance of ticks in the environment. In particular, the species most impacting tick presence was roe deer. These insights could be valuable for managing natural environments, helping to reduce the risk of tick-borne diseases, and they show the utility of camera trap data, which are gathered with great detail and little disturbance of wildlife. The increase in acarological risk of tick bites is significantly driven by profound changes in landscape, which alter the density and distribution of wildlife that support tick populations. As a result of habitat shifts and land abandonment, which create environments conducive to tick proliferation, the risk of disease transmission to humans and animals is increasing. In this context, it is important to explore tick ecology by applying a comprehensive methodology. In this study, we examined the relationship between wildlife temporal occupancy and tick abundance in two distinct regions: an alpine hunting district and a natural park in the Apennines. For each sampling point, we calculated wildlife temporal occupancy from camera trap pictures and estimated ticks' abundance from dragging transects in the area immediately surrounding camera traps. In modelling the relationship between those two variables, we included abiotic factors such as saturation deficit, normalized difference vegetation index, and altitude. Results show the importance of altitude and wildlife temporal occupancy (itself related to different habitat and land management characteristics) on the ecology of questing ticks. If employed in management decisions for natural environments, such information is useful to modulate the acarological risk and thus the risk of tick-borne pathogens' transmission. [ABSTRACT FROM AUTHOR]

Simple Summary: Understanding the activity patterns of snow leopards is important for the conservation of this species, but the activity patterns of snow leopards in the Qilian Mountain National Park (Qinghai area) are largely unknown. Therefore, we used camera trap data for snow leopards and analyzed activity patterns at different time scales and under different weather conditions. The results demonstrate the patterns of regional snow leopard activity and play an important role in the management and conservation of snow leopards in the region. In recent years, there has been growing concern about the condition of snow leopards. The snow leopard (Panthera uncia), an apex predator of alpine ecosystems, is essential for the structural and functional stability of ecosystems. Monitoring of snow leopards' activity patterns based on camera traps in the Qilian Mountain National Park (Qinghai area) between August 2020 to October 2023 was performed. The results showed that autumn is the peak period of snow leopard activity, especially in September when the frequency of activity is the highest, and there is one peak in the frequency of snow leopard daily activity in the time period of 18:00–22:00, while the highest overlap of the daily activity curves of snow leopards in different months was from spring to autumn (Δ = 0.97), and there were significant differences in diurnal activity rhythm between spring and autumn (p = 0.002). Snow leopards prefer sunny days, and they tend to be active at temperatures of −10–9 °C. Our research aimed to uncover the activity patterns of snow leopards at different scales within the study area and provide data for further studies on snow leopards and other wildlife by researchers. This study can be used to gain a comprehensive understanding of the ecological characteristics of snow leopards and to assess their habitats, and it will also serve as a reference for the local wildlife management authorities in formulating snow leopard conservation measures. [ABSTRACT FROM AUTHOR]

Despite being resident or reintroduced to multiple South African protected areas, spotted hyaena (Crocuta crocuta) have been subject to limited population monitoring and are not managed in the same intensive way as other large carnivores. Considering the species' significant influence on ecosystem processes, robust estimates of population density are necessary to inform conservation management. In this study, we ran a single‐season camera trap survey in the Main Camp section of Addo Elephant National Park (Addo), South Africa, and used spatial capture‐recapture (SCR) models to estimate spotted hyaena population density. Spotted hyaena density was estimated to be 11.13 (± SE 1.96) individuals/100 km2, with an estimated abundance of 37 (± SE 6.44) individuals. Using our database of sexed spotted hyaena individuals, we found no significant difference for sex‐specific SCR parameters (baseline encounter probability and spatial scale parameter), suggesting the incorporation of sex‐specific information may not be as necessary for spotted hyaena as it is for territorial felids and other species with more pronounced differences in range size. Spotted hyaena density in Addo was comparable to previous SCR studies and towards the higher end of known densities. Our estimate provides an important baseline for monitoring reintroduction success in Addo, and we advocate for increased SCR monitoring of spotted hyaena in South African protected areas to inform a metapopulation approach to the species' management. [ABSTRACT FROM AUTHOR]

Behavioural thermoregulation has critical ecological and physiological consequences that profoundly influence individual fitness and species distributions, particularly in the context of climate change. However, field monitoring of this behaviour remains labour‐intensive and time‐consuming. With the rise of camera‐based surveys and artificial intelligence (AI) approaches in computer vision, we should try to build better tools for characterizing animals' behavioural thermoregulation.In this study, we developed a deep learning framework to automate the detection and classification of thermoregulation behaviour. We used lizards, the Rough‐tail rock agama (Laudakia vulgaris), as a model animal for thermoregulation. We colour‐marked the lizards and curated a diverse dataset of images captured by trail cameras under semi‐natural conditions. Subsequently, we trained an object‐detection model to identify lizards and image classification models to determine their microclimate usage (activity in sun or shade), which may indicate thermoregulation preferences. We then evaluated the performance of each model and analysed how the classification of thermoregulating lizards performed under different solar conditions (sun or shade), times of day and marking colours.Our framework's models achieved high scores in several performance metrics. The behavioural thermoregulation classification model performed significantly better on sun‐basking lizards, achieving the highest classification accuracy with white‐marked lizards. Moreover, the hours of activity and the microclimate choices (sun vs shade‐seeking behaviour) of lizards, generated by our framework, are closely aligned with manually annotated data.Our study underscores the potential of AI in effectively tracking behavioural thermoregulation, offering a promising new direction for camera trap studies. This approach can potentially reduce the labour and time associated with ecological data collection and analysis and help gain a deeper understanding of species' thermal preferences and risks of climate change on species behaviour. [ABSTRACT FROM AUTHOR]

Understanding species coexistence requires information about how species interact and partition their ecological niche. Niches of closely related species tend to be quite similar and thereby, when syntopic, overlap can result in competition when shared resources are limiting. Brocket deer of tropical forests are ecologically similar species due to convergence or relatedness. As a group, what little is known about their ecology suggests spatial and temporal niche separation while dietary differences among species remain largely unknown. The possibility of competition has been suggested, as it is rare for more than two species to co‐occur. If competition is important, then it may limit syntopy of more species and its importance should increase with relatedness between species. Based on analyses of faecal samples, camera traps, and stable isotopes and multidimensional analysis of niche space, we test spatial, temporal and dietary niche differences and compare niche breadth in two syntopic species pairs: Mazama rufa with M. nana (both of subtribe Odocoileina) and M. jucunda (Odocoileina) with Subulo gouazoubira (Blastocerina). In 2007–2008 and 2017–2019, 240 faecal samples and 375 records were collected in the Brazilian Atlantic Forest. Spatial partitioning among both species pairs was found, with S. gouazoubira and M. nana having greater niche breadth, which may permit or facilitate coexistence. Odocoileina tend to be nocturnal, while Blastocerina tend to be diurnal, which suggests that phylogeny may influence species coexistence. Furthermore, the species tended to overlap with respect to diet. These results suggest interference competition avoidance by niche partitioning at the level of habitat and time, allowing coexistence. Thereby, despite the morphological similarities, brocket deer species of evolutionarily convergent subtribes preserve differences in ecological niche dimensions that facilitate the coexistence of their populations. [ABSTRACT FROM AUTHOR]

We document 26 incidents of sunning behavior in 5 species of Accipitridae, including Crested Eagle (Morphnus guianensis), Black Hawk-Eagle (Spizaetus tyrannus), Ornate Hawk-Eagle (Spizaetus ornatus), Roadside Hawk (Rupornis magnirostris), and White Hawk (Pseudastur albicollis), during a camera-trap survey conducted in Madre de Dios, Peru, in 2014. The sunning behavior was observed in forest clearings along logging trails and on a dirt road. We recorded 2 high-intensity sunning postures: "full-spreadeagle," in which the bird lies horizontally on the ground with wings outstretched, tail fanned, and head somewhat raised; and "full-spread," in which the bird stands while holding its wings out at right angles to the body. Sunning is a maintenance behavior observed in many bird species and has been reported in Accipitriformes in various habitats, but it is not commonly observed in tropical rainforests because of low visibility. Our camera traps recorded sunning behavior from 0931 h to 1400 h, a period in which ambient temperature increased until reaching its maximum around 1400 h. The most likely function of sunning in Accipitriformes in the rainforest is an anti-ectoparasite strategy. Camera-trap monitoring has been useful in detecting unusual interactions and diel patterns of activity, and researchers can obtain a wide range of natural history, ecological, and behavioral insights that would be difficult to obtain using traditional methods. We recommend analyzing "bycatch" data from camera traps to recover information about bird behaviors that would otherwise be unattainable. [ABSTRACT FROM AUTHOR]

Wildlife observation with camera traps has great potential for ethology and ecology, as it gathers data non-invasively in an automated way. However, camera traps produce large amounts of uncurated data, which is time-consuming to annotate. Existing methods to label these data automatically commonly use a fixed pre-defined set of distinctive classes and require many labeled examples per class to be trained. Moreover, the attributes of interest are sometimes rare and difficult to find in large data collections. Large pretrained vision-language models, such as contrastive language image pretraining (CLIP), offer great promises to facilitate the annotation process of camera-trap data. Images can be described with greater detail, the set of classes is not fixed and can be extensible on demand and pretrained models can help to retrieve rare samples. In this work, we explore the potential of CLIP to retrieve images according to environmental and ecological attributes. We create WildCLIP by fine-tuning CLIP on wildlife camera-trap images and to further increase its flexibility, we add an adapter module to better expand to novel attributes in a few-shot manner. We quantify WildCLIP's performance and show that it can retrieve novel attributes in the Snapshot Serengeti dataset. Our findings outline new opportunities to facilitate annotation processes with complex and multi-attribute captions. The code is available at https://github.com/amathislab/wildclip. [ABSTRACT FROM AUTHOR]

Camera trapping has been used to assess the activity patterns of Indian crested porcupines and co-occurring mammals in urban protected areas. Data have been collected during the winter season. There is very lesser-known information available about the activity patterns and co-occurrence of free-ranging mammalian species in National Zoological Park, New Delhi (NZP). By using a preliminary sign survey and camera trapping technique, the information on free-ranging Indian Crested Porcupine (Hystrix indica) was collected during the study period i.e., January–April, 2021. For the sampling effort of 196 trap nights over the period of 60 days, a total of 229 photographs were captured. The estimated sign density for the Indian crested porcupine (Hystrix indica) was recorded as 0.22sign/ha. Relative Abundance Indices (RAIs) were estimated as 24.49, 9.18 and 6.63 for Indian crested porcupine (Hystrix indica), common palm civet (Paradoxurus hermaphroditus) and small Indian civet (Viverricula indica) respectively. Porcupines were seen active throughout the night along with other small mammals like common palm civet and small Indian civet. For ICP high detection probability was between 1800–2000 h with the highest daily activity index (DAI) of 45.82. The highest degree of activity overlap was observed between ICP and CPC [Δ = 0.61 (± 0.07)] followed by CPC and SIC [Δ = 0.55 (± 0.12)] and & ICP and SIC [Δ = 0.49 (± 0.11)]. These observations highlight the nocturnal habits of these species, with each having specific peak activity times during the night and early morning hours. This information can be useful for understanding their behaviour, and habitat use, and for planning conservation strategies. [ABSTRACT FROM AUTHOR]

The present study aimed to elucidate patterns of the daily activity, sex and age structure of the herds of red deer (Cervus elaphus), roe deer (Capreolus capreolus) and wild boar (Sus scrofa) registered by camera traps on the territory of the Rositsa State Hunting Enterprise in Central Stara Planina Mountain. The study is carried out between July 2017 and June 2019. We used 38 camera traps, which stayed in the field for 5279 days. From the collected photos and videos, 5001 independent registrations were identified: 2551 for red deer, 1266 for roe deer and 1184 for wild boar. We defined five groups to study the sex and age structure of the herds: F - female adult individuals; M - male adults individuals; S - young up to 2 years; FJS - females with offspring and young and mixed - individuals by both sex and different age. We found that all three species are more active at night in autumn. We observed higher daytime activity for red deer in spring, for roe deer in winter, and for wild boar in summer. The overlap of their daily activities is greatest in summer and least in spring. A different frequency of occurrence of the five types of herds was found in the studied ungulates during the various seasons, as well as a difference in diurnal activity mainly between the herds with females and the other herds. The lowest percentage of mixed herds in winter we registered in herds of red deer compared to those of roe deer and wild boar. This study shows that the activity patterns of the three ungulates are significantly influenced by species-specific features, season and anthropogenic activity. The greater nocturnal activity of the studied ungulates in autumn is due to the hunting season and the accompanying increased restlessness of the animals. The present research may benefit the sustainable management and protection of game populations in the future. [ABSTRACT FROM AUTHOR]

Outdoor recreation has experienced a boom in recent years and continues to grow. While outdoor recreation provides wide-ranging benefits to human well-being, there are growing concerns about the sustainability of recreation with the increased pressures placed on ecological systems and visitor experiences. These concerns emphasize the need for managers to access accurate and timely recreation data at scales that match the growing extent of the recreation footprint. Here, we compare spatial and temporal patterns of winter and summer recreation using traditional (trail cameras, infrared counters, aerial surveys, participatory mapping) and application-based tools (Strava Metro, Strava Global Heatmap, Wikiloc) across the Columbia and Canadian Rocky Mountains of western Canada. We demonstrate how recreation use can be estimated using traditional and application-based tools, although their accuracy and utility varies across space, season and activity type. We found that trail cameras and infrared counters captured similar broad-scale patterns in count estimates of pedestrians and all recreation activities. Aerial surveys captured areas with low recreation intensity and participatory mapping captured coarser information on the intensity and extent of recreation across large spatial and temporal scales. Application-based data provided detailed spatiotemporal information on recreation use, but datasets were biased towards specific activities. Strava Metro data was more suited for capturing broad-scale spatial patterns in biking than pedestrian recreation. Application-based data should be supplemented with data from traditional tools to identify biases in data and fill in data gaps. We provide a comparison of each tool for measuring recreation use, highlight each tools' strengths and limitations and applications to address real-world monitoring and management scenarios. Our research contributes towards a better understanding of which tool, or combinations of tools, to use that can expand the rigor and scope of recreation research. These findings support decision-making to mitigate pressures on wildlife and their habitats while allowing for high-quality recreation experiences. [ABSTRACT FROM AUTHOR]

Forest fragmentation is one of the main drivers of global biodiversity loss leading to the isolation of wildlife populations. This study focuses on understanding the role of restoration corridors as a strategy promoting resilience and viability of mammal and bird populations in a fragmented landscape in Colombia. We installed 98 camera-trap stations − 8497 camera-trap days - in four different land cover categories: (1) forest fragments, (2) natural corridors, (3) stablished corridors and (4) pastures. We evaluated if restoration corridors do promote connectivity for large vertebrates and recover species richness and functional diversity lost in anthropogenically transformed pastures. We used indices of taxonomic and functional diversity and a non-metric multidimensional scaling to evaluate the influence of land cover over mammal and bird communities. Both, species richness and functional diversity have higher values in forests, followed by natural corridors and corridors and lower values in open pastures. Differences in species composition were greater between forests and pastures, and species composition of restoration corridors begins to resemble that of riparian forests and forest fragments. Our results provide initial evidence on the role of restoration corridors as an efficient strategy aimed to recover biodiversity and functional diversity in pervasively fragmented landscapes. [ABSTRACT FROM AUTHOR]

Introduced species can negatively impact endemic flora and fauna. Studies have primarily utilized camera trap observations and occupancy modelling to better clarify the presence/absence and temporal overlap of endemic and exotic predators. Longitudinal data from field research sites are important as they can provide a finer understanding of predator dynamics and their effects on endemic species. One such site is the Bezà Mahafaly Special Reserve, in southern Madagascar. Protected since the 1970s, the local human population around Bezà Mahafaly Special Reserve has greatly expanded, leading to habitat disturbance in the surrounding forests and increased contact between local wildlife, people and their livestock and dogs. Here we use a combination of scat sampling, field observations of successful and attempted predations, locations of scat samples with identifiable lemur remains, and camera trap data to better assess the predator ecology at Bezà Mahafaly Special Reserve. Our results indicate that forest cats (Felis catus), are effective predators of both adult and infant lemurs and appear to be a constant mammalian predator, utilizing mammal prey more than dogs. Dogs are both predators and scavengers of lemurs. Civets focus on small prey, such as insects and rodents as well as plant material. The fosa, Cryptoprocta ferox, are also present but may not hunt in the area continuously. The killing of an adult ring-tailed lemur by two men from outside the area indicate culturally imposed taboos against lemur killing may no longer be effective given that new arrivals may not share the same local cultural restrictions. Scat sampling of exotic predators is one way to expand our understanding of exotic and endemic predator impact on lemur populations, and long-term studies with multiple assessments of predation can provide a clearer understanding of how non-endemic and endemic predators affect endangered species survival. [ABSTRACT FROM AUTHOR]

Simple Summary: The daily activity rhythms of herbivores have significant ecological and conservation implications. Most studies have focused on predators and their prey, as well as sympatric carnivores or herbivores, with little attention given to ungulates in predator-free ecosystems. Using camera traps, we systematically studied the activity patterns and grouping characteristics of goitered gazelles in the Helan Mountains. Our findings reveal that goitered gazelles are crepuscular-like, with activity peaks occurring after dawn and before dusk. Their daily activity patterns and grouping characteristics vary across seasons, likely influenced by climatic conditions and resource availability. This research provides essential ecological insights for the restoration and conservation of goitered gazelle populations and underscores the importance of further behavioral studies on ecologically significant rare species in isolated habitats. Wildlife activity patterns, which reveal the daily allocation of time and energy, are crucial for understanding survival pressures, adaptive strategies, and behavioral characteristics in different environments. Among ungulates, grouping behavior is a prevalent adaptive trait that reflects the population structure, mating systems, and life history strategies formed over long-term evolutionary processes. This study aimed to elucidate the daily activity patterns and grouping characteristics of the rare goitered gazelle (Gazella subgutturosa) in the Helan Mountains of western China from 2022 to 2023 using camera trap monitoring. With a total of 3869 camera days of effective trapping, we recorded 442 independent detections of goitered gazelles. The results revealed the following: (1) Goitered gazelle is primarily active during the day, showing an activity pattern similar to crepuscular animals, with two activity peaks occurring after dawn and before dusk. (2) Daily activity patterns showed both seasonal and sex differences. In the warm season, morning activity peaks occurred earlier, and afternoon peaks occurred later compared to the cold season. The overlap in daily activity patterns between females and males in the warm season was lower than that in the cold season, and this trend persisted throughout the year. (3) The number of times different types of groups were observed varied significantly, with single males and single females accounting for a larger proportion of all observed groups. There was no significant difference in group size across seasons, with groups typically consisting of 1–2 individuals. Our study provides detailed insights into the temporal ecology and population structure of goitered gazelles in arid and semi-arid ecosystems. This information will guide the identification of future conservation priorities and the development of management plans for the reserve. [ABSTRACT FROM AUTHOR]

Protected areas (PAs) are pivotal to biodiversity conservation, yet their efficacy is compromised by insufficient funding and management. So‐called other effective area‐based conservation measures (OECMs) present a paradigm shift and address PA limitations. Such measures can expand conservation areas, enhance connectivity, and improve the existing system. To assess the conservation status of biodiversity in Tibetan cultural areas in China, we investigated the spatial distribution of wildlife vulnerable to human disturbance (large‐ and medium‐sized mammals and terrestrial birds) in Xinlong, a traditional Tibetan cultural area. In particular, we compared a PA (Xionglongxi Nature Reserve) and OECMs targeting species conservation. We also investigated the relationship of wildlife with human temporal and spatial activities. The OECMs complemented areas not covered by PA, especially in rich understory biodiversity regions. More species in OECMs tolerated human presence than species in the PA. Existing biodiversity reserves failed to cover areas of high conservation value in Tibet and offered limited protection capacity. Expanding PAs and identifying OECMs improved Xinlong's system by covering most biodiversity hotspots. Building on the tradition of wildlife conservation in Tibet, harnessing OECMs may be an effective means of augmenting biodiversity conservation capacity. We recommend further evaluation of OECMs effectiveness and coverage in Tibetan area as a way to enhance the current PA system. [ABSTRACT FROM AUTHOR]

Freshwater habitats support high levels of biodiversity and provide important habitat for wetland‐dependent taxa; however, impairment of aquatic connectivity through wetland loss, stream alterations and light pollution impacts species persistence and community resilience. Quantifying occupancy of these habitats to assess their use by mammals and birds can be challenging, especially for cryptic species.This study examines wetland habitat use by mammals and birds, and their spatial and temporal relationships within the Beaver Hills Biosphere in Alberta, Canada. As part of a multi‐method detection approach, camera boxes, cameras on beaver dams, and camera rafts allowed for multivariate analyses to determine temporal and spatial patterns of habitat use and species associations, while field sampling and environmental DNA (eDNA) provided data on site occupancy by a subset of semi‐aquatic mammals.From ~50,000 images, over 84 species were detected, including 52 species of birds and 25 species of mammals. Several species were spatially associated, and although most species of mammals exhibited temporal overlap, there were distinct differences, especially on beaver dams where predators such as coyotes and white‐tailed deer shared the same space. Temporally, birds were detected most often during the day and mammals at night. During new moon phases, use of beaver dams by beavers decreased dramatically, and use of camera rafts by muskrats increased.Winter field surveys allowed for a broad overview of wetland occupancy and abundance of some species, particularly by beavers and muskrats, and occasionally winter use by other semi‐aquatic mammals. Where there was limited detection of more cryptic species of semi‐aquatic mammals, eDNA analysis successfully detected American water shrew, American mink, North American river otter and northern bog lemming more often than camera and field methods.Applying a multi‐method monitoring approach for mammals and birds in wetland habitats is critical at a time when freshwater systems are experiencing dramatic declines in relative abundance of monitored wildlife populations, with many of these species underrepresented in conventional surveys. [ABSTRACT FROM AUTHOR]

Sympatric species reduce competitive interactions by segregating their ecological niche as a strategy that promotes coexistence. The main dimensions in which niche differentiation occurs are spatial, trophic, and temporal axes. Thus, describing the spatiotemporal patterns of sympatric species help us better grasp how species coexist. In Mexico, coyotes (Canis latrans) and gray foxes (Urocyon cinereoargenteus) are sympatric and widely distributed, and information about their temporal and spatiotemporal interactions is still needed to explain their coexistence throughout their distribution. The evaluation of the ecological niche in temperate forests where both species coexist has shown high spatial and trophic overlap. Therefore, more pronounced segregation must occur in other niche dimensions, such as temporal and spatiotemporal axes, to maintain the coexistence between coyotes and gray foxes. As an approach to exploring the coexistence between these species in temperate forests, we pose the following question: Is there temporal or spatiotemporal segregation between sympatric coyotes and gray foxes? We hypothesized that both species maintain coexistence due to differences in their daily activity patterns (temporal segregation) and the presence of avoidance behaviors at the spatiotemporal level (spatiotemporal segregation), thereby reducing agonistic interactions. We aimed to evaluate indicators of niche segregation through two approaches: (i) temporal niche partitioning, measuring the overlap of the daily activity patterns and activity levels; and (ii) spatiotemporal niche partitioning, through temporal co-occurrence analysis and time to encounter analysis. In 2018, we used a camera-trap array (n = 43) to evaluate spatiotemporal interactions of coyotes and gray foxes in temperate forests of northern Mexico. We found that coyotes exhibited a diurnal daily activity pattern, whereas gray foxes were nocturnal, showing low overlap between daily activity patterns. Temporal co-occurrence and time to encounter analysis showed that coyotes and gray foxes occurred independently of each other. Therefore, we demonstrated that the spatiotemporal interactions between both species is a result of random species associations. In conclusion, here we provide evidence that ecological segregation occurred in the temporal niche and not in the spatiotemporal niche of the species. Thus, the temporal niche segregation represents one of the ecological strategies that facilitates the coexistence between coyotes and gray foxes and therefore promotes their sympatry in the temperate forests of northern Mexico. [ABSTRACT FROM AUTHOR]

The conservation of endangered primates often relies on data on population dynamics and health obtained from individuals captured with baited traps. This could increase the risk of injury or predation by attracting competitors and predators to the baited locations. It also can lead to unforeseen interactions of ecological significance among nontarget species. We evaluated these hypotheses by monitoring visits by multiple species to capture platforms for endangered golden lion tamarins (Leontopithecus rosalia). We placed camera traps on ten platforms baited with bananas resulting in more than 1500 species records. We calculated species richness and temporal patterns of visitation overlap among lion tamarins, predators, and competitor species. We also fitted a lion tamarin group with a GPS telemetry transmitter to assess whether movements toward and visits to the platform occurred more than expected by chance. Thirteen mammals and 12 bird species visited the platforms. There was high temporal overlap, albeit with peaks at different times, with the tayra (Eira barbara)—a main predator. Introduced hybrid marmosets (Callithrix spp.) were present on the platforms in 42% of visits by lion tamarins, and we recorded fights between the two species. There was significant temporal overlap between lion tamarins and capuchin monkeys. The lion tamarin visitation rate to platforms did not differ from random locations, nor did they show significant recursive behavior. Lion tamarins were vigilant in 90% of platform visits and emitted mild alarm calls, mobbing calls, and food calls. Their vocal output increased when marmosets were on the platforms. We suggest that lion tamarins consider the platforms an attractive, albeit risky, food resource. Baited platforms attract species beyond the target species and create conditions for unintended potentially negative effects on multiple species. [ABSTRACT FROM AUTHOR]

Conservation is a major topic in primatology. In addition to focusing on individual species, the protection of interaction networks is key to conservation success, but difficulties in identifying these networks hinder research. We hope to inspire research in primate conservation through network analysis. We illustrate an approach for studying species networks using data for Tibetan macaques (Macaca thibetana) in three national nature reserves in Sichuan Province, China: Wolong, Tangjiahe, and Heizhugou. With data on species presence/absence from 185 cameras each continuously working for >12 months, we used the Phi coefficient rø to identify spatial association networks between species and the Lambda statistic LB to test the properties of the associations. We identified four networks across the reserves. Tibetan macaques were associated with four terrestrial/semi-arboreal bird and mammal species in Wolong and nine species in Tangjiahe, but only two species in Heizhugou. Macaques formed symmetrical associations, suggesting competition, unidirectional asymmetrical associations, suggesting commensalism, and bidirectional asymmetrical associations, suggesting mutualism. The macaque's community environment may be predation-free. Commensal and mutualistic interactions with Sichuan snub-nosed monkeys (Rhinopithecus roxellana) and three other species may enhance the ecological fitness of Tibetan macaques in Tangjiahe over that in Wolong and conservation investment for the macaque in Tangjiahe may benefit more species than that in Wolong. Asymmetrical associations may facilitate the ecological restoration of the degraded community in Heizhugou. Our approach may provide a sensitive method for ecological monitoring for conservation management, and facilitate primate community ecological research. [ABSTRACT FROM AUTHOR]

The activity of many animals follows recurrent patterns and foraging is one of the most important processes in their daily activity. Determining movement in the search for resources and understanding temporal and spatial patterns in foraging has therefore long been central in behavioural ecology. However, identifying and monitoring animal movements is often challenging. In this study we assess the use of camera traps to track a very specific and small‐scale interactions focused on the foraging behaviour of Heliconiini butterflies. Data on floral visitation was recorded using marked individuals of three pollen‐feeding species of Heliconius (H. erato, H. melpomene and H. sara), and two closely related, non‐pollen feeding species (Dryas iulia and Dryadula phaetusa) in a large outdoor insectary. We demonstrate that camera traps efficiently capture individual flower visitation over multiple times and locations and use our experiments to describe some features of their spatial and temporal foraging patterns. Heliconiini butterflies showed higher activity in the morning with strong temporal niche overlap. Differences in foraging activity between males and females was observed with females foraging earlier than males, mirroring published field studies. Some flowers were more explored than others, which may be explained by butterflies foraging simultaneously affecting each other's flower choices. Feeding was grouped in short periods of intense visits to the same flower, which we refer to as feeding bouts. Heliconius also consistently visits the same flower, while non‐Heliconius visited a greater number of flowers per day and their feeding bouts were shorter compared with Heliconius. This is consistent with Heliconius having more stable long‐term spatial memory and foraging preferences than outgroup genera. More broadly, our study demonstrates that camera traps can provide a powerful tool to gather information about foraging behaviour in small insects such as butterflies. © 2024 The Authors. Ecology and Evolution published by John Wiley & Sons Ltd. [ABSTRACT FROM AUTHOR]

Quantifying the cost‐effectiveness of alternative sampling methods is crucial for efficient biodiversity monitoring and detection of population trends. In this study, we compared the cost‐effectiveness of three novel sampling methods for detecting changes in koala (Phascolarctos cinereus) occupancy: thermal drones, passive acoustic recorders and camera trapping. Specifically, we fitted single‐season occupancy‐detection models to data recorded from 46 sites in eight bioregions of New South Wales, Australia, between 2018 and 2022. We explored the effect of weather variables on daily detection probability for each method and, using these estimates, calculated the statistical power to detect 30%, 50% and 80% declines in koala occupancy. We calculated power for different combinations of sites (1–200) and repeat surveys (2–40) and developed a cost model that found the cheapest survey design that achieved 80% power to detect change. On average, detectability of koalas was highest with one 24‐h period of acoustic surveys (0.32, 95% CI's: 0.26, 0.39) compared to a 25‐ha flight of drone surveys (0.28, 95% 0.15, 0.48) or a 24‐h period of camera trapping consisting of six cameras (0.019, 95% CI's: 0.014, 0.025). We found a negative quadratic relationship between detection probability and air temperature for all three methods. Our power and cost analysis suggested that 148 sites surveyed with acoustic recorders deployed for 14 days would be the cheapest method to sufficiently detect a 30% decline in occupancy with 80% power. We recommend passive acoustic recorders as the most efficient sampling method for monitoring koala occupancy compared to cameras or drones. Further comparative studies are needed to compare the relative effectiveness of these methods and others when the monitoring objective is to detect change in koala abundance over time. [ABSTRACT FROM AUTHOR]

Camera traps have transformed the way we monitor wildlife and are now routinely used to address questions from a wide range of ecological and conservation aspects. Sampling design optimization and a better understanding of drivers determining the precision of detection rates (i.e. the number of detections per unit of effort) are important methodological issues. Little attention has been focused on the effect of placing more than one camera on each sampling point (hereafter, clustered design), and/or rotating (i.e. redeploying) the cameras to new placements during the sampling period.We explored the differences in the precision of detection rates between clustered vs. single camera designs when cameras remained in the same location during the study. Furthermore, the effect of keeping the placement of cameras fixed or rotating them (i.e. moving them to new locations during the sampling period), when a limited number of camera devices are available, was also evaluated. We used simulations and field data to test differences in detection rate precision for the different sampling designs. We simulated three different population distributions (random, trail‐based and aggregated) and three abundance scenarios. The simulations were validated with a field experiment focused on eight species with different behavioural traits, including artiodactyls, carnivores, lagomorphs, and birds.When a fixed number of sampling points were monitored simultaneously, clustered designs generally resulted in an increase in the precision of detection rates compared to single designs. The absolute reduction in the coefficient of variation by clustered designs was on average 0.07 units (min: 0.01, max: 0.15), which represents an average relative reduction in CV of 31% (min:6%, max:44%). An improvement in precision was also observed as a higher number of sampling points was used for all population distributions and sampling designs tested. When a fixed number of cameras were available, rotating the cameras to independent locations improved precision (an absolute reduction of 0.19 CV units) when monitoring aggregated populations, but not for random and trail‐based population distributions.Synthesis and applications: Our research provides a guideline for wildlife managers and researchers to improve the precision of camera trap detection rates and optimize resource allocation. In general, the study design should accommodate the behaviour of the target species (e.g. spatial aggregation and abundance), monitoring program logistic resources (both human and economic) and study area characteristics (e.g. accessibility and vandalism). [ABSTRACT FROM AUTHOR]

Mountain hare is a cold‐adapted species threatened by climate change, but despite its emblematic nature, our understanding of the causes of population decline remains limited. Camera traps are increasingly used in ecology as a tool for monitoring animal populations at large spatial and temporal scales. In mountain environments where field work is constrained by difficult access and harsh conditions, camera traps constitute a promising tool for surveying rare and elusive species such as the mountain hare. Our study explored the use of camera traps as a tool for studying seasonal habitat occupancy and daily activity patterns of the mountain hare, in order to carry out long‐term monitoring of populations. We installed 46 camera traps along elevation gradients in the Mont‐Blanc massif (France) from January 2018 to June 2022. We measured habitat variables at each camera trap site in order to define vegetation composition and habitat structure. We performed multi‐season and single‐season occupancy models to respectively describe habitat occupancy of the mountain hare throughout the year and identify the environmental variables influencing mountain hare presence during the breeding season. Mountain hares occupy coniferous forest in winter, and then switch to mixed areas of shrubland and grassland above treeline in spring and the beginning of summer. In spring, occupancy probability of the mountain hare increases with relative cover of mixed low shrub and herbaceous layer (i.e. the 10–40 cm vegetation layer), suggesting a link to food resources and protection from predation. Our results also confirm the nocturnal and crepuscular activity of the mountain hare during the breeding season, and strictly nocturnal activity in winter. Our results demonstrate the efficiency of camera traps as tools for monitoring mountain hare habitat occupancy in mountain environments and underline the importance of diverse habitat mosaics for the preservation of the species. [ABSTRACT FROM AUTHOR]

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The assessment of animal body condition has important practical and management implications for endangered wildlife populations. The nutritional condition of a population can be evaluated in a non-invasive way using photogrammetry techniques, avoiding direct manipulation. This study evaluates the utility of using body condition scoring (BCS) based on the visual assessment of subcutaneous fat and muscle from the body contour as a non-invasive method to quantify body condition in free ranging bears from camera trap photographs. Photographs of Apennine brown bears (Ursus arctos marsicanus), taken between 2007 and 2009 in the Abruzzo, Lazio and Molise National Park (PNALM, Italy), were used to evaluate the potential of this technique. BCS assessment was performed on 754 photographs representing 71 independent observations. Forty-eight of these photographs were selected to also score quantitative body ratios using a standardised measure of torso height. BCS varied seasonally, as expected by food availability and brown bear nutritional physiology, and it was also positively correlated to all three body ratios. Our findings indicate that BCS assessment is a good proxy for body condition, and that camera trap data can be effectively used to assess and monitor the nutritional condition of bear populations, such as the critically endangered one in central Italy. [ABSTRACT FROM AUTHOR]

Endangered species recovery requires knowledge of species abundance, distribution, habitat preferences, and threats. Endangered beach mouse populations (Peromyscus polionotus subspp.) occur on barrier islands in Florida and Alabama. Camera traps may supplement current methods and strengthen inferences of animal activity. Between November 2020-February 2022, we conducted 140 camera surveys across 86 track tubes on Tyndall Air Force Base, Florida. We used generalized linear models to explore the relationships between beach mouse detections and environmental factors. We detected beach mice on 6,397 occasions across all tubes. Detections ranged from 0 to 147 observations/survey. Our top model suggested that beach mouse detection was related to cover type with positive associations with grassland and dune compared to scrub. Detections further varied depending on islands, were negatively associated with predator detections, and increased in winter months. Our results suggest that cameras can supplement inference about vegetation associations at broader scales to complement monthly track tube surveys since detection counts are more informative than presence/absence data alone. Given that all tubes exhibited at least one observation, the camera trap network may provide a less frequent and more robust survey method relative to monthly track tube surveys. Adopting such a multifaceted approach may reduce effort and strengthen inference to inform recovery objectives and adaptive management range-wide for all listed beach mouse subspecies. [ABSTRACT FROM AUTHOR]

The current biodiversity loss is alarming. Protected areas can be a key strategy to halt and reverse the downward trend. To evaluate their efficiency and to conduct global biodiversity assessments, the availability of reliable data on species occurrence, diversity, and abundance is critical. Camera traps provide these data and have been used extensively in areas with high species richness, such as, temperate and tropical ecosystems, and are currently becoming more prominent in hyper-arid regions. We augment the data from hyper-arid regions by providing one of the first studies on biodiversity of terrestrial mammals and birds using camera traps at sites in central Saudi Arabia. From the deployments at 64 locations in 1.5 years, we observed a total of 59 vertebrate species with 12 species categorized as threatened on the IUCN Red List and an additional 12 that are deemed to have a high conservation priority in Saudi Arabia. This information can contribute to global biodiversity assessments and confirms the importance of the study sites as regional places of refuge. Results from this study also provide information that can support conservation management. We show that water provision was especially important to the sand gazelle. Additionally, observations of newborns of reintroduced species and the presence of predators contribute to evaluating the effectiveness and suitability of reintroduction programs to restore native biodiversity.

Abstract Following the implementation of a camera trap‐monitoring protocol of interactions between cave bats and wildlife in the Republic of Congo, we identified sustained rusty‐spotted genet (Genetta maculata) activity in Boundou cave. This cave, consisting of a single chamber, is home to a colony of several species of insectivorous bats throughout the year. Between 2022 and 2023, we recorded four events of bat or rodent consumption, one hunting attempt on bats and three feeding behaviors on insects. We describe and discuss the various behaviors and briefly elaborate on the potential epidemiological implications of bat consumption. To the best of our knowledge, our videos are the first to depict the consumption of bats by rusty‐spotted genets.

Abstract Insects are the major pollination vectors for angiosperms, and insects native to a given habitat can play an irreplaceable ecological role in food webs and plant reproduction. With precipitous declines in insect species over the last decades, it is urgent to document insect assemblages in native plant communities to support conservation efforts. Identifying pollinators and their pollination activity is challenging; however, emerging technological methods are providing new monitoring capabilities. In this study, we compare the accuracy of two different methods of monitoring to assess the flower‐visiting insect assemblage and likely pollinators of Encinitas baccharis (Baccharis vanessae): focal observations and video recordings from camera traps. B. vanessae is a rare, endemic species found in Coastal Sage Scrub communities in San Diego County. This federally listed species is threatened by habitat loss and fragmentation, which may also be affecting the availability of its insect pollinators. Results indicate that B. vanessae supports and is supported by a variety of flower‐visiting insect groups. The diversity of insect visitors at male and female plants were similar across all diversity measurements. The insect vectors identified were as expected given B. vanessae pollination syndrome. This syndrome also aligns with wind as a pollination vector, providing evidence of ambophily. While focal observations underreported insect activity by approximately half, the proportions of common diurnal visitors were similar with both methods. Camera traps were unable to provide sufficient detail to discern visually similar groups, but were able to record nocturnal insect activity, which was dominated by moths (Lepidoptera, 82%). While collection protocol in this study did not record the time an insect spent interacting with a flower, we anecdotally observed moths spent notably longer periods in contact with flowers than most diurnal insects. This study has implications for effective monitoring and conservation of endangered plant species and their affiliated pollinators.

Habitat destruction is a major driver of biodiversity loss, especially in the tropics. We investigated changes in the diversity and occupancy of forest-dwelling mammals in response to habitat loss, alteration, and degradation at the Mau Forest Complex (MFC), southwestern Kenya. Using a systematic camera trapping grid, we estimated patterns of mammalian diversity, occupancy of small carnivores, and detection rates of functional mammalian groups across three habitat types (primary forests, secondary forests, and cultivated habitats). Between March 2019 and October 2021, 246 camera traps were deployed across 181 locations representing 5509 sampling days, resulting in 47,345 images of 52 mammalian species in nine mammalian orders. Alpha diversity differed among treatments, with primary forests having the highest diversity, and cultivated habitats the lowest, though results were not statistically significant. Beta diversity differed significantly among treatments, indicating differences in community composition as well as species richness. Overall occupancy for small carnivores was highest in primary forests and lowest in cultivated habitats, with some species specializing in primary forests while others were able to occupy more degraded habitats. Among functional groups, detection rates only differed significantly for large rodents, primates, and ungulates. Our results indicate that although functional groups and species may respond differently to habitat loss and alteration at the MFC, overall species diversity of specialist mammals was highest in the less-disturbed primary forests. Specialist, forest-dependent species are likely most affected by human activities, making them especially vulnerable to habitat loss at the MFC.