Results 21 to 30 of about 1,484,707 (375)

Review: COVID-19 highlights the importance of camera traps for wildlife conservation research and management. [PDF]

Biol Conserv, 2021
COVID-19 has altered many aspects of everyday life. For the scientific community, the pandemic has called upon investigators to continue work in novel ways, curtailing field and lab research.
Blount JD, Chynoweth MW, Green AM, Şekercioğlu ÇH.   +3 more
europepmc   +2 more sources

Comparison of soil eDNA to camera traps for assessing mammal and bird community composition and site use. [PDF]

Ecol Evol
Species detections often vary depending on the survey methods employed. Some species may go undetected when using only one approach in community‐level inventory and monitoring programs, which has management and conservation implications.
Tetzlaff SJ, Katz AD, Wolff PJ, Kleitch ME.   +3 more
europepmc   +2 more sources

Automated visitor and wildlife monitoring with camera traps and machine learning

Remote Sensing in Ecology and Conservation, 2023
As human activities in natural areas increase, understanding human–wildlife interactions is crucial. Big data approaches, like large‐scale camera trap studies, are becoming more relevant for studying these interactions.
Veronika Mitterwallner, A. Peters, Hendrik Edelhoff, G. Mathes, Hien Nguyen, W. Peters, M. Heurich, M. Steinbauer   +7 more
semanticscholar   +1 more source

Sampling variables and their thresholds for the precise estimation of wild felid population density with camera traps and spatial capture–recapture methods

Mammal Review, 2023
1 . Robust monitoring, providing information on population status, is fundamental for successful conservation planning. However, this can be hard to achieve for species that are elusive and occur at low densities, such as felids.
Stefano Palmero, J. Premier, S. Kramer‐Schadt, P. Monterroso, M. Heurich   +4 more
semanticscholar   +1 more source

Methods for wildlife monitoring in tropical forests: Comparing human observations, camera traps, and passive acoustic sensors

Conservation Science and Practice, 2021
Wildlife monitoring is essential for conservation science and data‐driven decision‐making. Tropical forests pose a particularly challenging environment for monitoring wildlife due to the dense vegetation, and diverse and cryptic species with relatively ...
J. Zwerts, P. Stephenson, F. Maisels, M. Rowcliffe, C. Astaras, P. Jansen, J. Waarde, Liesbeth Sterck, P. Verweij, Tom Bruce, S. Brittain, M. Kuijk   +11 more
semanticscholar   +1 more source

Random encounter model is a reliable method for estimating population density of multiple species using camera traps

Remote Sensing in Ecology and Conservation, 2022
Population density estimates are important for wildlife conservation and management. Several camera trapping‐based methods for estimating densities have been developed, one of which, the random encounter model (REM), has been widely applied due to its ...
Pablo Palencia, P. Barroso, J. Vicente, T. Hofmeester, Javi Ferreres, P. Acevedo   +5 more
semanticscholar   +1 more source

Estimating animal density for a community of species using information obtained only from camera‐traps

Methods in Ecology and Evolution, 2022
Animal density is a fundamental parameter in ecology and conservation, and yet it has remained difficult to measure. For terrestrial mammals and birds, camera‐traps have dramatically improved our ability to collect systematic data across a large number ...
O. Wearn, T. E. Bell, Adam Bolitho, James Durrant, Jessica Haysom, Sahil Nijhawan, J. Thorley, J. M. Rowcliffe   +7 more
semanticscholar   +1 more source

Using camera traps to study hyenas: challenges, opportunities, and outlook

Mammalian Biology, 2022
The use of remote camera traps has accelerated rapidly in the field of large carnivore science since the 1990s. Members of the Hyaenidae are important components of functional ecosystems in Africa and parts of the Middle East and South Asia, and make ...
Arjun Dheer, Dinal J. S. Samarasinghe, S. Dloniak, Alexander Braczkowski   +3 more
semanticscholar   +1 more source

Florida Wildlife Camera Trap Dataset

CoRR, 2021
IEEE Conference on Computer Vision and Pattern Recognition, CV4Animals: Computer Vision for Animal Behavior Tracking and Modeling Workshop ...
Crystal Gagne, Jyoti Kini, Daniel Smith, Mubarak Shah   +3 more
openaire   +2 more sources

Human-Nature Relations in Urban Gardens: Explorations with Camera Traps

International Conference on Human Factors in Computing Systems, 2021
As cities grow, their people become increasingly distanced from nature except within private and public green spaces. Sensing technologies provide a means to harness curiosity about the animals living in these spaces, and possibly also connect interest ...
Kellie Vella, Bernd Ploderer, M. Brereton   +2 more
semanticscholar   +1 more source