Predation by feral cats Felis sylvestris catus is currently one hypothesized cause for the recent dramatic small mammal declines across northern Australia. We conducted a field experiment to measure the effect of predation by for this areas typically low-density cat populations on the demography of a native small mammal which due to the now natural scarce abundance of small mammals in the wild had to be reintroduced. We established two 12.5-ha enclosures in tropical savanna woodland on Wongalara Sanctuary, south of Arnhem Land in the Northern Territory. Each enclosure was divided in half, with cats allowed access to one half but not the other. We introduced about 20 individuals of Rattus villosissimus, a native rodent, into each of the four compartments (two enclosures x two predator-access treatments) and monitored rat demography by mark-recapture analysis and radio-tracking, and predator incursions by camera surveillance and track and scat searches. The data can be used for the mark-recapture analysis. The radio-tracking data and predator incursions data will be uploaded separately. The Cat and Dingoes camera trap dataset was produced using a heat-in-motion cameras (Reconyx PC800 Hyperfire, Holmen, Wisconsin, USA) around the outside of the perimeter fences to detect predators. At least four (but up to six and always the same number of cameras at a time) cameras were placed as one camera installed at each side on the outside of the fences of each enclosure. Cameras were un-baited, to avoid attracting predators. This one file dataset contains the information on the presence/absence data of cats and dingoes on each day. 'Site' indicates the enclosure the camera was attached to ('Enclosure_I' or Enclosure_II'), 'Camera number' indicates which site the camera was on. Note that between October 2011 and April 2012, Enclosure II had two additional cameras (one facing the front gate and one additional monitoring the lower half of the back fence of the enclosure) which resulted in a total of six cameras for during that time. 'Date' indicates the date the photo(s) was/were taken, 'Photos_recorded' whether the camera was operational or photos were retained (e.g. one SD-cards was lost). And columns 'Dingo' and 'Cat' indicate whether these animals were present that day or not (na = no photos recorded, 0 = not present that day, 1 = present that day).

Overabundant deer have harmful effects on forests by preventing regeneration of a number of important canopy tree species, and by preferentially browsing certain native species while avoiding invasive plants. Left unchecked, the combination of deer and invasive species can eliminate forests entirely, transforming them into invasive shrub thickets. Overabundant deer are also a human health risk, through the increased risk of deer-vehicle collisions and because of increased prevalence of tick-borne illnesses. The Northeast Region of the National Park Service is working to encourage resilient forests by managing overabundant deer, removing invasive species, and taking other actions such as planting climate-resilient tree species in key areas. An important part of this Resilient Forests Initiative is monitoring deer. Monitoring is used to determine where the populations are in need of intervention and to track the impacts of management actions. Multiple monitoring methods are possible depending on the park, including aerial forward-looking infrared surveys, camera traps, and spotlighting (with visible or infrared light). This data set represents the spotlight data collected at multiple parks in the Northeastern United States, including Gateway National Recreation Area (GATE), Marsh-Billings-Rockefeller National Historical Park (MABI), Morristown National Historical Park (MORR), Richmond National Battlefield Park (RICH), and Saratoga National Historical Park (SARA). The methods used are based on a protocol developed by the Heartland Inventory & Monitoring Network, and they produce two types of data: 1) bearings and distances to deer seen from a vehicle driving a route through the park, and 2) visibility information denoting how far observers feel they could see deer, taken every 0.05 mile (0.13 km) along the route. Visibility in some years is collected in two separate surveys with 0.10 mi intervals, with the second survey start point offset by 0.05 mi. Monitoring Objective: Estimate deer abundance (an index that approximates the number of deer per square mile) in the surveyed area with sufficient accuracy to support management decision-making. This data package contains a cumulative record of all monitoring data collected at the participating parks through the most recent field season and is organized into three (3) datasets: Deer_Locations_Cumulative_YYYY-MM-DD.csv - processed deer survey event data, including the raw data plus calculated locations of deer. Incidental observations are not included in this data set. Deer_VisibleArea_Cumulative_YYYY-MM-DD.csv - processed visibility survey event data, including the raw data plus calculated coordinates for the limit of visibility on either side of the vehicle. The limits of visibility are used to create a polygon in a Geographic Information System to estimate the area surveyed for each monitoring season and park. Incidental_Sightings_Cumulative_YYYY-MM-DD.csv - Incidental sightings of species other than deer that are recorded during the survey, including count, species, and observer location. Note that the date at the end of each data file represents the date that the dataset was last updated.

The record contains information on mammal captures from the Karawatha forest park in South East Queensland, Karawatha in the year 2010. Data on the number of captures of mammal species and the type of trap used for captures are provided.

Data is provided from three survey types: nocturnal drive-by monitoring; ground counts; and exit counts. The nocturnal drive-by monitoring dataset provides information on species presence/absence at 124 sites across Christmas Island. The ground count dataset provides information on numbers of bats observed roosting in trees at known camp sites; while the exit count dataset records counts of bats exiting from the respective camp sites.

Predation and habitat degradation by non-native species are principal terrestrial threats to the federally endangered Hawaiian Petrel (ʻuaʻu, Pterodroma sandwichensis) and Hawaiian Goose (nēnē, Branta sandvicensis) within Haleakalā National Park (HALE), Maui, Hawaiʻi. Since 1981, HALE has maintained a network of live-traps to control invasive mammalian predators and protect these endangered birds. To continue evaluations of trapping efficiency in HALE, we analyzed 2000 - 2014 trap events. Trap events were divided up into six event types classified into three event categories: no event, other event [bait lost, or trap triggered], or predator event [rat, cat, or mongoose caught]. Event type analysis was divided up for temporal and spatial analysis. Temporal variables included month, year, ‘Ua’u Season (off-season, pre-laying, incubation, or nestling), and Trapline (15 different traplines throughout HALE). Temporal variables were also compared to climate variables (Longman et al. 2015) and moon phase. Spatial variables included the number of ‘Ua’u burrows around the trap, the distance to roads, trails, fences and other structures, elevation, slope, and vegetation class and cover (derived from HALE unpublished data and LANDFIRE [Landfire, 2010]). References: Landfire, 2010, Existing Vegetation Type Layer, Existing Vegetation Cover Layer, Elevation Layer, Slope Layer, LANDFIRE 1.3.0, U.S. Department of the Interior, Geological Survey. Accessed 24 October 2016 at http://landfire.cr.usgs.gov/viewer/. Longman, R. J., T. W. Giambelluca, M. A. Nullet and L. L. Loope. 2015. Climatology of Haleakalā.

제주특별자치도 제주시 관내 유기동물 구조 관련 현황 데이터를 제공합니다. 항목 : 해당연월, 개(보호소인계 / 보호자인계), 고양이(보소호인계 / 보호자인계 / TNR), 데이터기준일

Data on nesting marine turtles are collected opportunistically during DEC patrols of the Dampier Archipelago. The aim of the monitoring program is to determine what species of marine turtle nest on what beaches (and to what extent).

This dataset contains the number (count) of dingo, red fox and feral cat photographs from remote camera traps in the Simpson Desert. Note, spatial location for the sites has been desensitized. Please contact the data author for site details.