A simple method for estimating the effective detection distance of camera traps

By T. Hofmeester, J. Marcus Rowcliffe, Patrick A. Jansen. 2017

112 citations recorded by the source corpus.

Estimates of animal abundance are essential for understanding animal ecology. Camera traps can be used to estimate the abundance of terrestrial mammals, including elusive species, provided that the sensitivity of the sensor, estimated as the effective detection distance (EDD), is quantified. Here, we show how the EDD can be inferred directly from camera trap images by placing markers at known distances along the midline of the camera field of view, and then fitting distance‐sampling functions to the frequency of animal passage between markers. EDD estimates derived from simulated passages using binned detection distances approximated those obtained from continuous detection distance measurements if at least five intervals were used over the maximum detection distance. A field test of the method in two forest types with contrasting vegetation density, with five markers at 2.5 m intervals, produced credible EDD estimates for 13 forest‐dwelling mammals. EDD estimates were positively correlated with species body mass, and were shorter for the denser vegetation, as expected. Our findings suggest that this simple method can produce reliable estimates of EDD. These estimates can be used to correct photographic capture rates for difference in sampling effort resulting from differences in sensor sensitivity between species and habitats. Simplifying the estimation of EDD will result in less biased indices of relative abundance, and will also facilitate the use of camera trap data for estimating animal density.

Subfields: Ecological Modeling, Ecology

View Paper: https://www.semanticscholar.org/paper/e12d53c0317951084b5ea1add9c8e849ce4c32fc

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Ecological Modeling

1. Timm Haucke
2. Volker Steinhage
3. Peter Johanns
4. Hjalmar S. Kühl

In Ecology

1. Timm Haucke
2. Volker Steinhage
3. Peter Johanns
4. Hjalmar S. Kühl

Citations in the corpus

• Automated distance estimation for wildlife camera trapping (2022, background): “The effective detection distance is the distance below which as many individuals are missed as seen beyond (Hofmeester et al., 2017).”
• Overcoming the distance estimation bottleneck in estimating animal abundance with camera traps (2021, background): “The effective detection distance is the distance below which as many individuals are missed as are seen beyond (Hofmeester et al., 2017).”