"camera trapping" is a correct and usable phrase in written English.
It refers to the use of cameras to capture images or footage of wildlife in their natural habitats. It is often used in scientific or conservation contexts. Example: The researchers were able to gather valuable data on the elusive snow leopard population in the mountains by setting up camera trapping stations along their known migration routes.
DeskTEAM incorporates software features and functionality that make it relevant to the broad camera trapping community.
But for decades, technological difficulties — including battery power, size of equipment, and unreliable trip mechanisms — left camera trapping for intrepid enthusiasts, rather than mainstream researchers.
Nevertheless, successful camera trapping for research and monitoring requires careful forethought regarding study design, analytical approach, technology selection, and data management.
However, since 1998 the wildlife community appears to be recovering, as camera trapping beginning in 2009 has documented leopards (Pardus neofelis), Malayan sun bears (Helarctos Malayan), tapirs (Tapirus indicus), and muntjac.
Camera trapping in remote areas can potentially help protected area managers to increase rates of detection of IHA in their conservation landscapes and increase rates of arrests and prosecutions by providing appropriate supporting evidence.
Combining efforts to collect samples for genetic analysis with other new methodologies for detecting elusive species such as scat-detecting dogs [81] and/or video camera trapping [82] should also improve the effectiveness of genetic studies.
Camera traps run for 30 days in each site and cumulated 1978 camera trapping days, yielding 1514 detection events of 12 species of mammals.
The number of sightings and camera-trapping pictures with precise location information was low, even though the number of camera-trapping studies in South-East Asia has increased during the past 20 years and we had first-hand information from many of these studies.
Clouded leopard (Neofelis nebulosa) was the only large carnivore detected by camera-trapping.
We demonstrate that this non-invasive genetic surveillance can be an additional approach for monitoring tiger populations in a landscape where camera-trapping is challenging.
We conducted large-scale data analysis with a field camera-trapping network to present the first population estimates for this species using a spatially explicit capture recapture approach.
