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Author |
Healy,S.; Braithwaite, V |
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Title |
Cognitive ecology: a field of substance? |
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Journal Article |
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Year |
2000 |
Publication |
Trends in Ecology & Evolution |
Abbreviated Journal |
Trends. Ecol. Evol |
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Volume |
15 |
Issue |
1 |
Pages |
22-26 |
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Keywords |
Cognitive ecology; Neuroethology; Cognition; Ecology; Evolution; Orientation mechanisms |
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In 1993, Les Real invented the label 'cognitive ecology'. This label was intended for work that brought cognitive science and behavioural ecology together. Real's article stressed the importance of such an approach to the understanding of behaviour. At the end of a decade in which more interdisciplinary work on behaviour has been seen than for many years, it is time to assess whether cognitive ecology is a label describing an active field. |
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Division of Biological Sciences, King's Buildings, University of Edinburgh, West Mains Road, Edinburgh, UK EH9 3JT |
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0169-5347 |
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PMID:10603501 |
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Call Number |
refbase @ user @ |
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837 |
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Author |
Dall, S.R.X.; Giraldeau, L.-A.; Olsson, O.; McNamara, J.M.; Stephens, D.W. |
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Title |
Information and its use by animals in evolutionary ecology |
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Journal Article |
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Year |
2005 |
Publication |
Trends in Ecology & Evolution (Personal Edition) |
Abbreviated Journal |
Trends Ecol Evol |
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Volume |
20 |
Issue |
4 |
Pages |
187-193 |
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Information is a crucial currency for animals from both a behavioural and evolutionary perspective. Adaptive behaviour relies upon accurate estimation of relevant ecological parameters; the better informed an individual, the better it can develop and adjust its behaviour to meet the demands of a variable world. Here, we focus on the burgeoning interest in the impact of ecological uncertainty on adaptation, and the means by which it can be reduced by gathering information, from both 'passive' and 'responsive' sources. Our overview demonstrates the value of adopting an explicitly informational approach, and highlights the components that one needs to develop useful approaches to studying information use by animals. We propose a quantitative framework, based on statistical decision theory, for analysing animal information use in evolutionary ecology. Our purpose is to promote an integrative approach to studying information use by animals, which is itself integral to adaptive animal behaviour and organismal biology. |
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Centre for Ecology and Conservation, University of Exeter in Cornwall, Tremough Campus, Penryn, UK, TR10 9EZ. sashadall@iname.com |
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0169-5347 |
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PMID:16701367 |
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2128 |
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Author |
Connor, R.C.; Mann, J.; Tyack, P.L.; Whitehead, H. |
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Title |
Social evolution in toothed whales |
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Journal Article |
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Year |
1998 |
Publication |
Trends in Ecology & Evolution |
Abbreviated Journal |
Trends. Ecol. Evol |
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Volume |
13 |
Issue |
6 |
Pages |
228-232 |
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Keywords |
odontocetes; toothed whales; social evolution; communication; bottlenose dolphins; sperm whales; long-term studies; foraging |
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Two contrasting results emerge from comparisons of the social systems of several odontocetes with terrestrial mammals. Researchers have identified remarkable convergence in prominent features of the social systems of odontocetes such as the sperm whale and bottlenose dolphin with a few well-known terrestrial mammals such as the elephant and chimpanzee. In contrast, studies on killer whales and Baird's beaked whale reveal novel social solutions to aquatic living. The combination of convergent and novel features in odontocete social systems promise a more general understanding of the ecological determinants of social systems in both terrestrial and aquatic habitats, as well as the relationship between relative brain size and social evolution. |
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Call Number |
Equine Behaviour @ team @ |
Serial |
4789 |
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Author |
Conradt, L.; Roper, T.J. |
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Title |
Consensus decision making in animals |
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Journal Article |
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Year |
2005 |
Publication |
Trends in Ecology & Evolution (Personal Edition) |
Abbreviated Journal |
Trends Ecol Evol |
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Volume |
20 |
Issue |
8 |
Pages |
449-456 |
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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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Department of Biology and Environmental Science, John Maynard Smith Building, University of Sussex, Brighton, UK, BN1 9QG. L.Conradt@sussex.ac.uk |
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0169-5347 |
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PMID:16701416 |
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Call Number |
Equine Behaviour @ team @ |
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4802 |
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Author |
Noë, R.; Hammerstein, P. |
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Title |
Biological markets |
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Journal Article |
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Year |
1995 |
Publication |
Trends in Ecology & Evolution |
Abbreviated Journal |
Trends. Ecol. Evol |
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Volume |
10 |
Issue |
8 |
Pages |
336-339 |
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In biological markets, two classes of traders exchange commodities to their mutual benefit. Characteristics of markets are: competition within trader classes by contest or outbidding; preference for partners offering the highest value; and conflicts over the exchange value of commodities. Biological markets are currently studied under at least three different headings: sexual selection, intraspecific cooperation and interspecific mutualism. The time is ripe for the development of game theoretic models that describe the common core of biological markets and integrate existing knowledge from the separate fields. |
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0169-5347 |
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Equine Behaviour @ team @ |
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4993 |
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Author |
Purvis, A. |
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Title |
The h index: playing the numbers game |
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Journal Article |
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Year |
2006 |
Publication |
Trends in Ecology & Evolution |
Abbreviated Journal |
Trends. Ecol. Evol |
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21 |
Issue |
8 |
Pages |
422-422 |
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Article Outline
References
The ‘h index’ was developed recently as a measure of research performance [1]: a researcher's h is the number of his or her papers that have been cited at least h times. In their thoughtful critique of the index, Kelly and Jennions [2] point out many ways in which h is no better than ‘traditional’ bibliometrics, such as total citation counts. However, there is one way in which, for researchers, it could be very much better, especially if (as Hirsch suggests [1]) it is to inform hiring and promotion decisions. The skewed nature of the distribution of citations among publications means that most researchers have several papers that nearly but not quite count. Consequently, h can be distorted much more easily than can total citation count just by finding a subtle way to cite one's own papers that are ‘bubbling under’. Incidentally, bats show broadly the same life-history allometries as other mammalian clades [3]. |
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Equine Behaviour @ team @ |
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5046 |
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Author |
List, C. |
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Title |
Democracy in animal groups: a political science perspective |
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Journal Article |
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2004 |
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Trends in Ecology & Evolution (Personal Edition) |
Abbreviated Journal |
Trends Ecol Evol |
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Volume |
19 |
Issue |
4 |
Pages |
168-169 |
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0169-5347 |
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PMID:16701250 |
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Equine Behaviour @ team @ |
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5137 |
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Author |
Wilson, S. D.; Clark, A. B.; Coleman, K.; Dearstyne, T. |
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Title |
Shyness and boldness in humans and other animals |
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Journal Article |
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Year |
1994 |
Publication |
Trends in Ecology & Evolution |
Abbreviated Journal |
Trends. Ecol. Evol |
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Volume |
9 |
Issue |
11 |
Pages |
442-446 |
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The shy-bold continuum is a fundamental axis of behavioral variation in humans and at least some other species, but its taxonomic distribution and evolutionary implications are unknown. Models of optimal risk, density- or frequency-dependent selection, and phenotypic plasticity can provide a theoretical framework for understanding shyness and boldness as a product of natural selection. We sketch this framework and review the few empirical studies of shyness and boldness in natural populations. The study of shyness and boldness adds an interesting new dimension to behavioral ecology by focusing on the nature of continuous behavioral variation that exists within the familiar categories of age, sex and size. |
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Equine Behaviour @ team @ |
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5161 |
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Author |
Pusey, A.E. |
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Sex-biased dispersal and inbreeding avoidance in birds and mammals |
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1987 |
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Trends in Ecology & Evolution |
Abbreviated Journal |
Trends. Ecol. Evol |
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2 |
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10 |
Pages |
295-299 |
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Sex differences in dispersal distance are widespread in birds and mammals, but the predominantly dispersing sex differs consistently between the classes. There has been persistent debate over the relative importance of two factors -- intrasexual competition and inbreeding avoidance -- in producing sex-biased dispersal, and over the sources of the difference in dispersal patterns between the two classes. Recent studies cast new light on these questions. |
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0169-5347 |
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Equine Behaviour @ team @ |
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5326 |
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Author |
Connor, R.C. |
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Title |
Altruism among non-relatives: alternatives to the 'Prisoner's Dilemma' |
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Year |
1995 |
Publication |
Trends in Ecology & Evolution |
Abbreviated Journal |
Trends Ecol Evol |
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Volume |
10 |
Issue |
2 |
Pages |
84-86 |
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Triver's model of reciprocal altruism, and its descendants based on the Prisoner's Dilemma model, have dominated thinking about cooperation and altruism between non-relatives. However, there are three alternative models of altruism directed to non-relatives. These models, which are not based on the Prisoner's Dilemma, may explain a variety of phenomena, from allogrooming among impala to helping by non-relatives in cooperatively breeding birds and mammals. |
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Division of Biological Sciences and The Michigan Society of Fellows, Museum of Zoology, University of Michigan, Ann Arbor MI, 48109, USA |
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0169-5347 |
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PMID:21236964 |
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Equine Behaviour @ team @ |
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5407 |
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