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Author |
Kerth, G. |
Title |
Group decision-making in animal societies |
Type |
Book Chapter |
Year |
2010 |
Publication |
Animal Behaviour: Evolution and Mechanisms |
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Issue |
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Pages |
241-265 |
Keywords |
Life Sciences |
Abstract |
Individuals need to coordinate their activities to benefit from group living. Thus group decisions are essential for societies, especially if group members cooperate with each other. Models show that shared (democratic) decisions outperform unshared (despotic) decisions, even if individuals disagree about actions. This is surprising as in most other contexts, differences in individual preferences lead to sex-, age-, or kin-specific behaviour. Empirical studies testing the predictions of the theoretical models have only recently begun to emerge. This applies particularly to group decisions in fission-fusion societies, where individuals can avoid decisions that are not in their interest. After outlining the basic ideas and theoretical models on group decision-making I focus on the available empirical studies. Originally most of the relevant studies have been on social insects and fish but recently an increasing number of studies on mammals and birds have been published, including some that deal with wild long-lived animals living in complex societies. This includes societies where group members have different interests, as in most mammals, and which have been less studied compared to eusocial insects that normally have no conflict among their colony members about what to do. I investigate whether the same decision rules apply in societies with conflict and without conflict, and outline open questions that remain to be studied. The chapter concludes with a synthesis on what is known about group decision-making in animals and an outlook on what I think should be done to answer the open questions. |
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Springer Berlin Heidelberg |
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Editor |
Kappeler, P. |
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978-3-642-02624-9 |
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Equine Behaviour @ team @ |
Serial |
5381 |
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Author |
Parrish, J. K.; Viscido, S. V. |
Title |
Traffic rules of fish schools: A review of agent-based approaches. |
Type |
Book Chapter |
Year |
2005 |
Publication |
Self-organisation and the evolution of social behaviour. |
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Pages |
50-80 |
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Cambridge University Press |
Place of Publication |
Cambridge |
Editor |
C. K. Hemelrijk |
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Equine Behaviour @ team @ |
Serial |
5419 |
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Author |
Kruska, D. |
Title |
Mammalian domestication and its effect on brain structure and behavior |
Type |
Book Chapter |
Year |
1988 |
Publication |
Intelligence and Evolutionary Biology |
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Springer-Verlag |
Place of Publication |
New York |
Editor |
Jerison, H.J.; Jerison, I. |
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Equine Behaviour @ team @ Kruska1988 |
Serial |
6232 |
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Author |
Clutton-Brock, J. |
Title |
Origins of the dog: domestication and early history |
Type |
Book Chapter |
Year |
1995 |
Publication |
The Domestic Dog: Its Evolution, Behaviour and Interactions with People |
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Cambridge University Press |
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Cambridge |
Editor |
Serpell, J.A. |
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Equine Behaviour @ team @ Clutton-Brock1995 |
Serial |
6247 |
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Author |
Van Horik, J.; Clayton, N.; Emery, N. |
Title |
Convergent evolution of cognition in Corvids, Apes and other animals |
Type |
Book Chapter |
Year |
2012 |
Publication |
Oxford Handbook of Comparative Evolutionary Psychology |
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Oxford University Press |
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New York |
Editor |
Vonk, J.; Shackelford, T. |
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Equine Behaviour @ team @ Van Horik2012 |
Serial |
6284 |
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Author |
Zeder, M.A. |
Title |
Pathways to animal domestication |
Type |
Book Chapter |
Year |
2011 |
Publication |
Harlan II: Biodiversity in Agriculture: Domestication, Evolution, and Sustainability |
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University of California |
Place of Publication |
Davis |
Editor |
Damania, A.; Gepts, P. |
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Equine Behaviour @ team @ Zeder2011 |
Serial |
6316 |
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Author |
Amodio, P.; Boeckle, M.; Schnell, A.K.; Ostojic, L.; Fiorito, G.; Clayton, N.S. |
Title |
Grow Smart and Die Young: Why Did Cephalopods Evolve Intelligence? |
Type |
Journal Article |
Year |
2018 |
Publication |
Trends in Ecology & Evolution |
Abbreviated Journal |
Trends. Ecol. Evol. |
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Abstract |
Intelligence in large-brained vertebrates might have evolved through independent, yet similar processes based on comparable socioecological pressures and slow life histories. This convergent evolutionary route, however, cannot explain why cephalopods developed large brains and flexible behavioural repertoires: cephalopods have fast life histories and live in simple social environments. Here, we suggest that the loss of the external shell in cephalopods (i) caused a dramatic increase in predatory pressure, which in turn prevented the emergence of slow life histories, and (ii) allowed the exploitation of novel challenging niches, thus favouring the emergence of intelligence. By highlighting convergent and divergent aspects between cephalopods and large-brained vertebrates we illustrate how the evolution of intelligence might not be constrained to a single evolutionary route. |
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Elsevier |
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ISSN |
0169-5347 |
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Notes |
doi: 10.1016/j.tree.2018.10.010 |
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no |
Call Number |
Equine Behaviour @ team @ |
Serial |
6508 |
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Author |
Hofmeester, T.R.; Cromsigt, J.P.G.M.; Odden, J.; Andrén, H.; Kindberg, J.; Linnell, J.D.C. |
Title |
Framing pictures: A conceptual framework to identify and correct for biases in detection probability of camera traps enabling multi-species comparison |
Type |
Journal Article |
Year |
2019 |
Publication |
Ecology and Evolution |
Abbreviated Journal |
Ecol Evol |
Volume |
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Pages |
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Keywords |
animal characteristics; detectability; environmental variables; mammal monitoring; reuse of data; trail camera |
Abstract |
Abstract Obtaining reliable species observations is of great importance in animal ecology and wildlife conservation. An increasing number of studies use camera traps (CTs) to study wildlife communities, and an increasing effort is made to make better use and reuse of the large amounts of data that are produced. It is in these circumstances that it becomes paramount to correct for the species- and study-specific variation in imperfect detection within CTs. We reviewed the literature and used our own experience to compile a list of factors that affect CT detection of animals. We did this within a conceptual framework of six distinct scales separating out the influences of (a) animal characteristics, (b) CT specifications, (c) CT set-up protocols, and (d) environmental variables. We identified 40 factors that can potentially influence the detection of animals by CTs at these six scales. Many of these factors were related to only a few overarching parameters. Most of the animal characteristics scale with body mass and diet type, and most environmental characteristics differ with season or latitude such that remote sensing products like NDVI could be used as a proxy index to capture this variation. Factors that influence detection at the microsite and camera scales are probably the most important in determining CT detection of animals. The type of study and specific research question will determine which factors should be corrected. Corrections can be done by directly adjusting the CT metric of interest or by using covariates in a statistical framework. Our conceptual framework can be used to design better CT studies and help when analyzing CT data. Furthermore, it provides an overview of which factors should be reported in CT studies to make them repeatable, comparable, and their data reusable. This should greatly improve the possibilities for global scale analyses of (reused) CT data. |
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John Wiley & Sons, Ltd |
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ISSN |
2045-7758 |
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doi: 10.1002/ece3.4878 |
Approved |
no |
Call Number |
Equine Behaviour @ team @ |
Serial |
6518 |
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Author |
Byrne R.W. |
Title |
The evolution of intelligence |
Type |
Book Chapter |
Year |
1994 |
Publication |
Behaviour and Evolution |
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Volume |
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Issue |
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Pages |
223-265 |
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Publisher |
Cambridge University Press |
Place of Publication |
Cambridge,UK |
Editor |
P.J.B. Slater and T.R. Halliday |
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no |
Call Number |
Equine Behaviour @ team @ |
Serial |
6566 |
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