A new method for characterising shared space use networks using animal trapping data.

ABSTRACT:

Abstract

Studying the social behaviour of small or cryptic species often relies on constructing networks from sparse point-based observations of individuals (e.g. live trapping data). A common approach assumes that individuals that have been detected sequentially in the same trapping location will also be more likely to have come into indirect and/or direct contact. However, there is very little guidance on how much data are required for making robust networks from such data. In this study, we highlight that sequential trap sharing networks broadly capture shared space use (and, hence, the potential for contact) and that it may be more parsimonious to directly model shared space use. We first use empirical data to show that characteristics of how animals use space can help us to es

SUBMITTER: Wanelik KM 

PROVIDER: S-EPMC9418289 | biostudies-literature | 2022

REPOSITORIES: biostudies-literature