Quantifying levels of animal activity using camera trap data

Rowcliffe, J. Marcus; Kays, Roland; Kranstauber, Bart; Carbone, Chris; Jansen, Patrick A.

Quantifying levels of animal activity using camera trap data

Dateien

Rowcliffe_0-268234t.pdf(499.75 KB)

Datum

2014

Autor:innen

Rowcliffe, J. Marcus

Kays, Roland

Kranstauber, Bart

Carbone, Chris

Jansen, Patrick A.

Publikationstyp

Zeitschriftenartikel

Erschienen in

Methods in Ecology and Evolution ; 5 (2014), 11. - S. 1170-1179. - ISSN 2041-2096. - eISSN 2041-210X

Zusammenfassung

1. Activity level (the proportion of time that animals spend active) is a behavioural and ecological metric that can provide an indicator of energetics, foraging effort and exposure to risk. However, activity level is poorly known for free-living animals because it is difficult to quantify activity in the field in a consistent, cost-effective and non-invasive way.
2. This article presents a new method to estimate activity level with time-of-detection data from camera traps (or more generally any remote sensors), fitting a flexible circular distribution to these data to describe the underlying activity schedule, and calculating overall proportion of time active from this.
3. Using simulations and a case study for a range of small- to medium-sized mammal species, we find that activity level can reliably be estimated using the new method.
4. The method depends on the key assumption that all individuals in the sampled population are active at the peak of the daily activity cycle. We provide theoretical and empirical evidence suggesting that this assumption is likely to be met for many species, but may be less likely met in large predators, or in high-latitude winters. Further research is needed to establish stronger evidence on the validity of this assumption in specific cases; however, the approach has the potential to provide an effective, non-invasive alternative to existing methods for quantifying population activity levels.

Fachgebiet (DDC)

570 Biowissenschaften, Biologie

Schlagwörter

activity level, activity time, circular kernel, proportion active, remote sensors, Von Mises distribution, weighted kernel

Zitieren

ISO 690

ROWCLIFFE, J. Marcus, Roland KAYS, Bart KRANSTAUBER, Chris CARBONE, Patrick A. JANSEN, 2014. Quantifying levels of animal activity using camera trap data. In: Methods in Ecology and Evolution. 5(11), pp. 1170-1179. ISSN 2041-2096. eISSN 2041-210X. Available under: doi: 10.1111/2041-210X.12278

BibTex

@article{Rowcliffe2014Quant-30366,
  year={2014},
  doi={10.1111/2041-210X.12278},
  title={Quantifying levels of animal activity using camera trap data},
  number={11},
  volume={5},
  issn={2041-2096},
  journal={Methods in Ecology and Evolution},
  pages={1170--1179},
  author={Rowcliffe, J. Marcus and Kays, Roland and Kranstauber, Bart and Carbone, Chris and Jansen, Patrick A.}
}

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