The overall goal of this conservation monitoring research is to accurately estimate and monitor the population densities of forest antelopes (both common and rare species) in order to support effective conservation planning and action in forest ecosystems like in the Central Forest Reserves. Because traditional transect surveys often miss animals in dense vegetation and underestimate true numbers, the study uses camera traps to collect more reliable detection data.
Distance sampling contributes by using the measured distances of animals captured on camera to estimate detection probability and species density, helping correct for animals that are present but not detected. The researchers also improve accuracy by adjusting for animal activity/behavior patterns and using body weight, breeding period to better estimate densities for rarer speciesā¦..doi:10.1017/S0030605320001209
The goal was to estimate feral cat density, both across the sampling area and within specific units, to identify areas to target for intervention (euthanasia or trap-neuter-release) and evaluate the effectiveness on ongoing interventions in reducing feral cat populations. Feral cat predation can have a large impact on native species, particularly birds.
Distance sampling was highlighted as an important survey method for this due to the challenges of accessing private lands in a dense urban area and human interference. This allowed the researcher to leverage the grid of public roads to do transects without having to trespass on private property. While standard distance sampling techniques would discourage using roads for transects, it made sense for this study in surveying private property and with the assumption that thereās a low degree of variability across the sampling area in terms of terrain/feral cat habitat.
The incorporation of the āaverage distance to obstructionā in the modeling was an interesting covariate to consider in an urban environment, as buildings and other manmade objects often impede visual line of sight. A similar method could be used for natural areas where there are forests, cliffs, or other environmental factors that restrict viewing distance.
Distance sampling enables to get an estimate of the density of the study species without the notable costs and detectability limitations that other traditional methoulds possess. The former include unpracticable hours of field work bearing the size and ruggedness of the study area whilst amongst the latter we find difficulty of identification of species bearing dense understory or shy and nocturnal behaviour of the study species.
The goal is to study the impacts of urbanization through comparing distance sampling findings from two invasive species (dogs and cats) and three native species (weasels, hedgehogs, and hares) in rural-urban Tianjin, China. This is so important because urbanization is negatively impacting crucial ecosystems and global biodiversity. With continued expansion and habitat fragmentation and loss, the study argues that we must understand spatiotemporal dynamics of wildlife in order to conserve them.
To begin to understand the dynamics, the study employed the distance sampling framework with camera traps. This was chosen for its suitability in habitats with dense vegetation and for mammals that are more elusive (eg:hedgehogs). They placed the cameras in parks, woodlands, wastelands, and riparian zones. The research team found that cat, weasel, and hedgehog population densities increased with urbanization. Another finding was that the invasive speciesā population densities were impacted by urban-related activities, while the native speciesā densities were impacted by both urban and nature-based variables.
@Byro_ns@JManas and @Morgan, the studies you chose are great examples of how we can combine the strengths of camera-trapping and distance sampling
Camera trapping advantages:
Less disturbance than transects
Round-the-clock data collection
Multi-species surveys and easier species identification (potentially assisted by on-camera and/or AI automation)
Surveying areas inaccessible for transects
Distance sampling advantages:
Estimate detectability, allowing us to:
Calculate absolute, not relative, abundance
Improve density estimates by Including covariates that affect detectability (such as speciesā size)
@matthron, I find the feral cat paper interesting because of their use of public roads for their transects, especially compared to @Morganās paper where they placed cameras in urban green spaces. Placing transects along roads is generally discouraged because of the risk of bias, if the species of interest either avoids or actively uses roads, breaking the Random placement assumption of distance sampling. From my quick read of the paper, they selected roads at random, and propose that the high density of roads, urban speciesā familiarity with roads, and their dependence on anthropogenic resources found along roads means that cats wouldnāt be affected by roads. Maybe the papers they cite have more evidence to support this?