Estimating animal density without individual recognition using information derivable exclusively from camera traps

By Yoshihiro Nakashima, Keita Fukasawa, Hiromitsu Samejima. 2018

182 citations recorded by the source corpus.

Subfields: Ecology, Small Animals, Social Psychology

How researchers see this paper

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

In Ecology

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

In Small Animals

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

In Social Psychology

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

Citations in the corpus

• Automated distance estimation for wildlife camera trapping (2022, methodology): “…the identification of individuals: the random encounter model (REM) (Rowcliffe et al., 2008), the random encounter and staying time model (REST) (Nakashima et al., 2018), the time-to-event model (TTE), space-to-event model (STE), instantaneous estimator (IS) (Moeller et al., 2018) and camera…”
• Overcoming the distance estimation bottleneck in estimating animal abundance with camera traps (2021, background): “These include the random encounter model (REM) (Rowcliffe et al., 2008), the random encounter and staying time model (REST) (Nakashima et al., 2018), the time-to-event model (TTE), space-to-event model (STE), instantaneous estimator (IS) (Moeller et al., 2018) and camera trap distance sampling (Howe”