Articles tagged with Camera Trapping
Researchers at Oregon State University developed a low-cost, semi-automated camera system using AI to monitor bumblebee populations and other insects. The system recorded six species of bumblebees, closely matching those documented through traditional methods, and identified them automatically using custom-built deep learning models.
A comprehensive study reveals the Bornean ferret badger is found only in Sabah's western highlands, with a previously unknown population discovered in Nuluhon-Trusmadi Forest Reserve. The species' range and distribution are largely confined to mountain landscapes, highlighting the need for conservation efforts to protect its habitat.
Researchers used remote sensing technology to capture camera trap images of the short-eared dog, revealing its unique physical profile and activity patterns. The study found that this Amazonian predator is more abundant than previously thought, with a preference for intact forests and protected areas.
Research reveals that hunting pressure is shrinking safe space for mandrills in Equatorial Guinea's Monte Alén National Park. Mandrills are adapting to changing conditions by focusing on high-quality sites with limited human impact.
Researchers found a robust and healthy population of critically endangered Sumatran tigers in the Leuser ecosystem, with over 282 high-quality images captured. The team identified 27 individuals, including females with high densities indicating a thriving social system and adequate habitats.
A study by University of Groningen researchers found that enclosed camera traps are more effective in detecting small mustelids like weasels and stoats. Camera traps placed inside boxes with tubes, also known as Mostelas, proved to be the most successful method.
Researchers from North Carolina State University found that red meat is the most effective bait for detecting weasels, with salmon oil adding to its allure. The study aimed to address the lack of standardized monitoring protocols for weasel populations and provides a framework for future surveys.
The study highlights the importance of semi-dry forests in Nui Chua NP, which have the highest diversity and occupancy of the silver-backed chevrotain. Conservation efforts should prioritize these transitional habitats to protect this flagship species.
Research found coyotes are more abundant in areas with regulated hunting, contrary to expectations. Coyotes expanded their range due to habitat loss and fragmentation, filling niches left by other species.
Researchers found that remote monitoring devices were being misused by local governments and men to intimidate and humiliate women in northern India. The study highlights the need for conservationists to consider the social implications of using surveillance technologies and explore less invasive methods.
The NJIT team's Limelight Rainforest developed a drone-delivered technology capable of identifying thousands of rainforest species in mere hours. The device uses telemetry, satellite communications, and AI to interpret data from advanced microphones, cameras, and capture systems.
Researchers developed an innovative automated wildlife camera network to monitor species in a Dutch coastal dunes nature reserve. The system, which combines autonomous cameras, wireless data transmission and AI-driven species identification, has been shown to be cost-efficient and efficient, providing new insights into the habitat use ...
A nationwide coyote survey reveals that human hunting practices may increase, rather than reduce, local coyote numbers. Coyotes are found to be most abundant in grasslands and agricultural landscapes.
A camera trap study recorded 108 species, including endangered species like the Sunda pangolin and Asian elephant, in the Central Cardamom Mountains Landscape. The region is a global stronghold for biodiversity and rare species, with over 95% of its forests intact.
Researchers found 16 native species of mammals using timber plantations as corridors and refuges in Central Panama. However, teak monocultures showed the lowest records of species, highlighting the importance of restoring natural habitats for comprehensive wildlife conservation.
Human disturbance disrupts leopard-hyena competition, favoring hyenas. The study shows that male leopards retain dominance over hyenas but female leopards change behavior due to size disadvantage. Human expansion poses threat to leopards' survival and ecosystem balance.
A team of researchers developed an AI-powered computer vision model to detect Brazilian wild animals on roads and warn drivers in real-time. The system uses roadside cameras and portable computers to identify species such as anteaters, wolves, and tapirs, with the potential to save lives and reduce roadkill.
Researchers have developed VespAI, an automated system that attracts hornets to a monitoring station and captures standardized images using an overhead camera. The system uses AI algorithm to identify the species with almost perfect accuracy, allowing authorities to mount a rapid response.
A recent study published in Biological Conservation reveals that NY bobcat populations remain critically low, with occupancies below detectable limits. Researchers used trail cameras to monitor wildlife populations in central and western NY state, tracking white-tailed deer, red fox, coyote, eastern wild turkey, and gray fox numbers.
A three-year study has provided the first reliable estimate of giraffe population size for the region, revealing a mere 27 individuals remain within Bénoué National Park. Conservation efforts are crucial to protect this subspecies from extinction due to threats from poaching and human pressures.
A team of researchers used trail cameras and GPS collars to track the effects of Cyclone Idai on Gorongosa National Park's mammal community. They found that body size was a key predictor of survival, with smaller animals more vulnerable to the storm's impact.
A Rice University scientist used a mixed-reality headset with custom-designed software to measure and analyze forest floor vegetation in Tanzania's Udzungwa Mountains National Park. The study found that mammal diversity increases with forest floor habitat surface area, leading to a greater variety of ecological characteristics.
A study found that wildlife exits designed for ocelots in Texas were used by 10 mammal species, including bobcats and coyotes, to exit highways. The exits function as designed, but ongoing research aims to improve their effectiveness.
A recent study found that animals in the Greater Kruger National Park react with alarm to hearing human voices, fleeing waterholes and abandoning their habitat. The researchers used custom sound systems to compare the fear response of mammals to humans versus lions.
Researchers have developed an AI-based camera alert system to detect endangered species like tigers and elephants. The TrailGuard AI system transmits images to park managers in real-time, enabling rapid responses to poachers or human-tiger conflicts.
A new study shows that large herbivores can protect local nature by eating and trampling on invasive plant species. Native plants have evolved to withstand the treatment of these herbivores, while invasive plants usually cannot.
A recent study analyzing camera trap images found six wildlife species, including coyote and gray fox, to be remarkably resistant to the Mendocino Complex Fire's impacts. Small patches of tree cover spared by the fire provided a refuge for these animals, allowing them to recover and even spread back into burned areas.
A recent study found that Glacier National Park is home to an estimated 1.28 lynx per 100 square kilometers of terrain, exceeding initial expectations and providing a potential climate haven for the species. The research used camera trapping and coat marking analysis to estimate lynx density in specific areas of the park.
A study found that human presence in Glacier National Park causes 16 out of 22 mammal species to change their movement patterns, using different areas or being more nocturnal. The researchers suggest that this effect is significant enough to impact population survival.
A new model developed by MSU researchers uses low-cost data about abundant species to generate insights on harder-to-find neighbors, helping monitor and preserve biodiversity. The model can be particularly helpful for rare and elusive species, providing valuable information with minimal data.
A team of researchers from Kyoto University and Cameroon used camera trap surveys to predict the total biomass of large rodents and duikers in southeast Cameroon. They developed six candidate indicators, including the ratio of red duikers to blue duikers, which showed positive linear correlations with total bushmeat biomass.
Researchers have identified two time periods of increased strike risk for hares at Dublin Airport: sunrise and midnight hours. By focusing prevention efforts on the hare population, the study aims to reduce costly 'runway roadkill' incidents worldwide.
A large-scale camera trap dataset provides valuable insights into Amazonian species diversity, with over 1,400 species recorded. The data can be used to inform conservation efforts and monitor population trends.
A massive study on Amazon wildlife uses over 57,000 camera trap images to document species diversity and habitat loss. The images reveal a staggering array of wildlife, including jaguars, pumas, giant anteaters, and dozens of other species.
Urban mammals adjust their daily activities to evade human encounters, altering predator-prey dynamics and increasing human overlap. This multi-species study reveals the timing of mammalian behavior changes in response to urbanization.
The American marten study found that monitoring the species has an 'umbrella effect' on 11 other mammals, detecting population declines. However, habitat loss and climate change threaten the marten's survival. The researchers developed a monitoring protocol for the winter season to detect protected species.
Researchers used camera traps to monitor interactions between Panama's epiphytic Zamia pseudoparasitica and animals, revealing that a nocturnal tree-dwelling mammal called northern olingos may be responsible for seed dispersal. The study sheds light on the plant's persistence in the forest canopy.
A new study by Washington State University researchers has developed a camera-trapping method that accurately estimates the density of snowshoe hares and potentially other unmarked small mammals. The method, validated through a large-scale field test, shows promise as an inexpensive and non-invasive alternative to live-trapping.
Seed dispersal rates by Central American agoutis are lower in ocelot habitats with high scent presence. This change allows bruchid beetles to attack seeds for longer periods, promoting forest diversification. The study's findings have implications for understanding the ecology of fear and its effects on ecosystems.
A global study using thousands of camera trap stations found that protected areas have a positive impact on mammal diversity, even when experiencing human disturbances such as recreational use and logging. The study's findings suggest that expanding protected areas could help conserve larger mammals and their critical roles in ecosystems.
Researchers at Kyoto University used a hybrid strategy to study wild mandrill movement patterns, combining direct tracking with camera trap data. The findings show that mandrill groups change their travel speed during the day and exhibit flexible dietary and ranging behaviors influenced by seasonality.
The Ohio State University has received a $15 million NSF grant to create the Imageomics Institute, which will use machine learning methodologies to extract biological traits from images. This new approach, called imageomics, aims to transform biomedical, agricultural and basic biological sciences.
The first-ever nationwide mammal survey in the US has been published, utilizing 1,509 motion-activated camera traps from 110 sites across all 50 states. The data reveals that urban areas tend to have higher overall mammal detections, with three top sites being urban locations.
Research analyzing camera trap data from across North America found that smaller, faster-reproducing mammals with generalist diets are best equipped to live alongside humans. Conversely, larger species like grizzly bears and lynx tend to avoid more developed areas and are less active when present.
Scientists from Florida Atlantic University used non-invasive camera-trap techniques to detect and survey the elusive dryas monkey, confirming its occurrence at seven locations in Lomami National Park. The study suggests that the species prefers structurally complex understories and forest edges, rarely traveling on the ground.
Researchers used trail cameras to study wildlife behavior during the pandemic, gathering data on animal populations and identifying unique research opportunities. The cameras allowed scientists to monitor individual animals passively over a large area without the need for manual trapping or processing.
New research reveals chimpanzees use areas away from villages more intensively, but enter human-occupied land for fruit when scarce. The study provides insights into how wildlife balance risks and rewards in anthropogenic landscapes, informing coexistence strategies.
Researchers use cameras, drones, geolocators, and sensors to track wildlife and greenhouse gas emissions. Computing advances help analyze terabytes of data, enabling ecologists to scale up ecological research and address environmental challenges.
A study in Scientific Reports suggests western gorillas may be territorial, with groups defending the centers of their home ranges against neighboring groups. The authors monitored eight groups across a 60 km2 area and found that gorillas tend to avoid feeding areas visited by other groups the previous day.
A new analysis of 92 studies from 27 countries highlights common pitfalls in multi-species wildlife monitoring, including under-reporting and reporting bias. The study recommends best practices for future research, focusing on the use of appropriate methods and tools to ensure accuracy and precision in inferences made.
A recent camera trap study in Bukit Barisan Selatan National Park in southern Sumatra has captured images of dozens of species, including critically endangered Sumatran tigers and Sunda pangolins. The study provides valuable insights into the habits and habitats of these rare beasts.
A school-based citizen science project improved children's knowledge of UK mammals, increasing their ability to name species and distinguish between native and introduced species. The project also fostered a connection to nature, leading to increased outdoor learning in schools.
Researchers analyzed 25,000 tourist photographs to estimate population densities of five top predators in northern Botswana. The study found that tourist-contributed data can accomplish similar goals as traditional surveying approaches at a lower cost.
Researchers have documented the unexpected presence of bush dogs in the Talamanca Mountains of Costa Rica, where they are considered rare and seldom seen even in their native range. The discovery raises questions about the animals' expansion or re-emergence into the region.
Researchers found that bonobos reacted more strongly to camera traps than chimpanzees, while younger apes were more curious and explored them longer. The study highlights the need for scientists to consider animal responses to unfamiliar monitoring equipment in their natural habitats.
A recent study using camera traps in African forests found that wild apes exhibit varied reactions to unfamiliar objects, including poking, staring, and attempting to bite cameras. The study highlights the need for scientists to consider how animals will respond to monitoring equipment in their natural habitats.
Researchers developed a framework to detect species interactions using camera trap data, highlighting the need for standardized data collection and collaboration. The study found that many records are needed to produce trustworthy results, but standardization can achieve this by combining datasets from multiple studies.
Researchers have developed a new technique using machine learning to classify large datasets of camera trap images, reducing the time needed for analysis. The computer can identify species with high accuracy and also learn to distinguish between empty images, greatly increasing efficiency.
A study by Max Allen and colleagues found several mammalian predators, including gray wolves and American martens, living on islands with varying sizes and proximity to the mainland. The research offers new insights into island biogeography and highlights the importance of preserving carnivore habitats.
Students from 28 schools and four countries contribute to a large-scale camera-trap study, collecting thousands of images of 83 native mammal species, including 12 threatened or endangered ones. The students' data is comparable to that of adult citizen scientists and professional researchers in nearby protected areas.