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      Effects of multiple stressors on fish shoal collective motion are independent and vary with shoaling metric

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          Fitting Linear Mixed-Effects Models Usinglme4

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            Consensus decision making in animals.

            Individual animals routinely face decisions that are crucial to their fitness. In social species, however, many of these decisions need to be made jointly with other group members because the group will split apart unless a consensus is reached. Here, we review empirical and theoretical studies of consensus decision making, and place them in a coherent framework. In particular, we classify consensus decisions according to the degree to which they involve conflict of interest between group members, and whether they involve either local or global communication; we ask, for different categories of consensus decision, who makes the decision, what are the underlying mechanisms, and what are the functional consequences. We conclude that consensus decision making is common in non-human animals, and that cooperation between group members in the decision-making process is likely to be the norm, even when the decision involves significant conflict of interest.
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              idTracker: tracking individuals in a group by automatic identification of unmarked animals.

              Animals in groups touch each other, move in paths that cross, and interact in complex ways. Current video tracking methods sometimes switch identities of unmarked individuals during these interactions. These errors propagate and result in random assignments after a few minutes unless manually corrected. We present idTracker, a multitracking algorithm that extracts a characteristic fingerprint from each animal in a video recording of a group. It then uses these fingerprints to identify every individual throughout the video. Tracking by identification prevents propagation of errors, and the correct identities can be maintained indefinitely. idTracker distinguishes animals even when humans cannot, such as for size-matched siblings, and reidentifies animals after they temporarily disappear from view or across different videos. It is robust, easy to use and general. We tested it on fish (Danio rerio and Oryzias latipes), flies (Drosophila melanogaster), ants (Messor structor) and mice (Mus musculus).
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                Author and article information

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                Journal
                Animal Behaviour
                Animal Behaviour
                Elsevier BV
                00033472
                October 2020
                October 2020
                : 168
                : 7-17
                Article
                10.1016/j.anbehav.2020.07.024
                3a63e294-34ff-4517-bb51-7f8123538798
                © 2020

                https://www.elsevier.com/tdm/userlicense/1.0/

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