10.5061/DRYAD.6FQ75
Schakner, Zachary A.
University of California Los Angeles
Buhnerkempe, Michael G.
University of California Los Angeles
Tennis, Mathew J.
Pacific States Marine Fisheries Commission, 2001 Marine Drive, Room 120,
Astoria, OR 97103, USA
Stansell, Robert J.
University of California Los Angeles
Van der Leeuw, Bjorn K.
United States Army Corps of Engineers
Lloyd-Smith, James O.
University of California Los Angeles
Blumstein, Daniel T.
University of California Los Angeles
Data from: Epidemiological models to control the spread of information in
marine mammals
Dryad
dataset
2016
culling
human-wildlife conflict
salmon conservation
social transmission
2016-11-02T15:46:32Z
2016-11-02T15:46:32Z
en
https://doi.org/10.1098/rspb.2016.2037
8960451 bytes
1
CC0 1.0 Universal (CC0 1.0) Public Domain Dedication
Socially transmitted wildlife behaviours that create human–wildlife
conflict are an emerging problem for conservation efforts, but also
provide a unique opportunity to apply principles of infectious disease
control to wildlife management. As an example, California sea lions
(Zalophus californianus) have learned to exploit concentrations of
migratory adult salmonids below the fish ladders at Bonneville Dam,
impeding endangered salmonid recovery. Proliferation of this foraging
behaviour in the sea lion population has resulted in a controversial
culling programme of individual sea lions at the dam, but the impact of
such culling remains unclear. To evaluate the effectiveness of current and
alternative culling strategies, we used network-based diffusion analysis
on a long-term dataset to demonstrate that social transmission is
implicated in the increase in dam-foraging behaviour and then studied
different culling strategies within an epidemiological model of the
behavioural transmission data. We show that current levels of lethal
control have substantially reduced the rate of social transmission, but
failed to effectively reduce overall sea lion recruitment. Earlier
implementation of culling could have substantially reduced the extent of
behavioural transmission and, ultimately, resulted in fewer animals being
culled. Epidemiological analyses offer a promising tool to understand and
control socially transmissible behaviours.
AstoriaCountData_Obs&PredColumns are time in weeks, predicted
number of sea lions at Astoria using B-splines of order 6 (PredCount), and
observed weekly counts (ObsCount).post2008MatrixAssociation matrix from
2008 and onPre2008MatrixAssociation matrix prior to
2008asoc2_dryadAssociation matrix for the entire time frame