Results 31 to 40 of about 42,998 (161)

Elephant camera trap detection events, Ruaha-Rungwa 2018-2019

, 2021
This dataset was generated by a study investigating how anthropogenic risk affects the active periods of African savanna elephants. This dataset includes the date, time, and location of independent detection events of elephants from camera trap photos ...
Smit, Josephine
core  

Camtrap DP: an open standard for the FAIR exchange and archiving of camera trap data

Remote Sensing in Ecology and Conservation
Camera trapping has revolutionized wildlife ecology and conservation by providing automated data acquisition, leading to the accumulation of massive amounts of camera trap data worldwide. Although management and processing of camera trap‐derived Big Data
Jakub W. Bubnicki, Ben Norton, Steven J. Baskauf, Tom Bruce, Francesca Cagnacci, Jim Casaer, Marcin Churski, Joris P. G. M. Cromsigt, Simone Dal Farra, Christian Fiderer, Tavis D. Forrester, Heidi Hendry, Marco Heurich, Tim R. Hofmeester, Patrick A. Jansen, Roland Kays, Dries P. J. Kuijper, Yorick Liefting, John D. C. Linnell, Matthew S. Luskin, Christopher Mann, Tanja Milotic, Peggy Newman, Jürgen Niedballa, Damiano Oldoni, Federico Ossi, Tim Robertson, Francesco Rovero, Marcus Rowcliffe, Lorenzo Seidenari, Izabela Stachowicz, Dan Stowell, Mathias W. Tobler, John Wieczorek, Fridolin Zimmermann, Peter Desmet   +35 more
doaj   +1 more source

Using camera traps to estimate ungulate abundance: a comparison of mark–resight methods

Remote Sensing in Ecology and Conservation, 2022
Many global wildlife populations are experiencing unprecedented declines. Estimates of population abundance are needed to effectively manage common species and to conserve vulnerable species.
Jace C. Taylor, Steven B. Bates, Jericho C. Whiting, Brock R. McMillan, Randy T. Larsen   +4 more
doaj   +1 more source

Global disparity of camera trap research allocation and defaunation risk of terrestrial mammals

Remote Sensing in Ecology and Conservation
Quantifying and monitoring the risk of defaunation and extinction require assessing and monitoring biodiversity in impacted regions. Camera traps that photograph animals as they pass sensors have revolutionized wildlife assessment and monitoring globally.
Badru Mugerwa, Jürgen Niedballa, Aimara Planillo, Douglas Sheil, Stephanie Kramer‐Schadt, Andreas Wilting   +5 more
doaj   +1 more source

Targeting burrows improves detection in giant pangolin Smutsia gigantea camera-trap surveys

Oryx
The Endangered giant pangolin Smutsia gigantea is rare and elusive across its Central African range. Because of its solitary and nocturnal nature, the species is difficult to study and so its ecology is little known.
Naomi Matthews, Stuart Nixon, Achaz von Hardenberg, Sam Isoke, Matthew Geary   +4 more
doaj   +1 more source

Mammal population density estimation using camera traps based on a random encounter model: theoretical basis and practical recommendations

Nature Conservation Research: Заповедная наука, 2023
Estimating the population density of mammals has long been one of the problematic tasks of both fundamental population ecology and practical programmes for their conservation and management. The majority of methods for population density estimation using
Sergey S. Ogurtsov
doaj   +1 more source

DeLoCo: Decoupled location context-guided framework for wildlife species classification using camera trap images

Ecological Informatics
The automated classification of wildlife species using camera trap images is of paramount importance for wildlife surveys and biodiversity conservation.
Lifeng Wang, Shun Wang, Chenxun Deng, Haowei Zhu, Ye Tian, Junguo Zhang   +5 more
doaj   +1 more source

The applicability of camera trap data to monitor the cryptic Indian pangolin (Manus crassicaudata) populations: A survey from a tropical lowland rainforest in Southwest Sri Lanka

Global Ecology and Conservation, 2022
The habitat occupancy, abundance, and population density of Indian pangolin (Manis crassicaudata) are poorly understood owing to their nocturnal and cryptic behaviors.
Priyan Perera, Hasitha Karawita, Chathuri Jayasinghe   +2 more
doaj   +1 more source

Camera trap summary - indigenous communities, Manu National Park, Peru

, 2023
This dataset has camera trap station ID's as rows and camera trap set up and species record summaries as columns:  Camera = Camera station ID's: "MCT_No" for Maizal, "T_No" for Tayakome, "YCT_No" for Yomibato.  Season = The climatic period of the camera
Jennifer Jane McFarlane (15390803), Oscar Mujica Chacon (15390848)   +1 more
core   +1 more source

Testing the detection of large, secretive snakes using camera traps

Wildlife Society Bulletin, 2023
Novel technologies, such as camera traps, have expanded the opportunities for species detection, especially for rare species. Corresponding changes in data processing must occur to handle the large volume of data gathered from technology like camera ...
Danielle K. Walkup, Wade A. Ryberg, Josh B. Pierce, Emlyn Smith, James Childress, Forrest East, Brian L. Pierce, Price Brown, Corey M. Fielder, Toby J. Hibbitts   +9 more
doaj   +1 more source