998 resultados para 590 Animals (Zoology)


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Natal dispersal is an important life history trait driving variation in individual fitness, and therefore, a proper understanding of the factors underlying dispersal behaviour is critical to many fields including population dynamics, behavioural ecology and conservation biology. However, individual dispersal patterns remain difficult to quantify despite many years of research using direct and indirect methods. Here, we quantify dispersal in a single intensively studied population of the cooperatively breeding chestnut-crowned babbler (Pomatostomus ruficeps) using genetic networks created from the combination of pairwise relatedness data and social networking methods and compare this to dispersal estimates from re-sighting data. This novel approach not only identifies movements between social groups within our study sites but also provides an estimation of immigration rates of individuals originating outside the study site. Both genetic and re-sighting data indicated that dispersal was strongly female biased, but the magnitude of dispersal estimates was much greater using genetic data. This suggests that many previous studies relying on mark–recapture data may have significantly underestimated dispersal. An analysis of spatial genetic structure within the sampled population also supports the idea that females are more dispersive, with females having no structure beyond the bounds of their own social group, while male genetic structure expands for 750 m from their social group. Although the genetic network approach we have used is an excellent tool for visualizing the social and genetic microstructure of social animals and identifying dispersers, our results also indicate the importance of applying them in parallel with behavioural and life history data.

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Sampling animals from the wild for study is something nearly every biologist has done, but despite our best efforts to obtain random samples of animals, ‘hidden’ trait biases may still exist. For example, consistent behavioral traits can affect trappability/catchability, independent of obvious factors such as size and gender, and these traits are often correlated with other repeatable physiological and/or life history traits. If so, systematic sampling bias may exist for any of these traits. The extent to which this is a problem, of course, depends on the magnitude of bias, which is presently unknown because the underlying trait distributions in populations are usually unknown, or unknowable. Indeed, our present knowledge about sampling bias comes from samples (not complete population censuses), which can possess bias to begin with. I had the unique opportunity to create naturalized populations of fish by seeding each of four small fishless lakes with equal densities of slow-, intermediate-, and fast-growing fish. Using sampling methods that are not size-selective, I observed that fast-growing fish were up to two-times more likely to be sampled than slower-growing fish. This indicates substantial and systematic bias with respect to an important life history trait (growth rate). If correlations between behavioral, physiological and life-history traits are as widespread as the literature suggests, then many animal samples may be systematically biased with respect to these traits (e.g., when collecting animals for laboratory use), and affect our inferences about population structure and abundance. I conclude with a discussion on ways to minimize sampling bias for particular physiological/behavioral/life-history types within animal populations.

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Commonly agreed upon is the relationship between family violenceand violence toward nonhuman animals. Workers in the field of family violence also acknowledge that women may delay leaving a violent home due to loyalty to their nonhuman counterparts, and because refuge policies often do not allow them to accompany humans into safe shelter. The recent work of Clifton Flynn has indicated the relationship between nonhuman animals and human animals to be one of responsive interaction, with theoretical analyses most often based upon Goffman’s theory of symbolic interaction. Despite literature indicating the level of harm inflicted upon nonhuman family members in violent homes, and requests from women and children that they accompany them to safe shelter, refuge policies often negate the possibility of this occurring. This article critiques the feminist ideals on which refuge policies are based, and in doing so, argues that justice is denied to nonhuman animals. Their existence in the violent home is maintained by lack of choices available to their human counterpart, and is enforced by feminist ideals, which are ironically based upon equity. Unless feminist principles are challenged, nonhuman family members will continue to be denied justice in violent families where escape is the only option to ensure safety.

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Background
The current study broadened the general scope of research conducted on childhood cruelty to animals by examining the association between psychological adjustment, family functioning and animal cruelty in an Eastern context, China.

Method
The mothers and fathers of 729 children attending primary school in Chengdu, China participated in this study. Each parent completed the Strengths and Difficulties Questionnaire, the Chinese Family Assessment Instrument, and the Children's Attitudes and Behaviours towards Animals questionnaire.

Results

Findings from an actor partner interdependence model demonstrated that parents' ratings of family functioning and of their child's externalizing coping style predicted only modest amounts of variance in animal cruelty. In particular, parents' ratings of their child's externalizing coping style most consistently predicted animal cruelty. Family functioning, fathers' ratings in particular, played a minor role, more so for boys compared with girls.

Conclusion

This study provided the first insight into childhood animal cruelty in China, and suggests that further research may enhance our understanding of these phenomena.

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Activity budgets can provide a direct link to an animal's bioenergetic budget and is thus a valuable unit of measure when assessing human-induced nonlethal effects on wildlife conservation status. However, activity budget inference can be challenging for species that are difficult to observe and require multiple observational variables. Here, we assessed whether whalewatching boat interactions could affect the activity budgets of minke whales (Balaenoptera acutorostrata). We used a stepwise modeling approach to quantitatively record, identify, and assign activity states to continuous behavioral time series data, to estimate activity budgets. First, we used multiple behavioral variables, recorded from continuous visual observations of individual animals, to quantitatively identify and define behavioral types. Activity states were then assigned to each sampling unit, using a combination of hidden and observed states. Three activity states were identified: nonfeeding, foraging, and surface feeding (SF). From the resulting time series of activity states, transition probability matrices were estimated using first-order Markov chains. We then simulated time series of activity states, using Monte Carlo methods based on the transition probability matrices, to obtain activity budgets, accounting for heterogeneity in state duration. Whalewatching interactions reduced the time whales spend foraging and SF, potentially resulting in an overall decrease in energy intake of 42%. This modeling approach thus provides a means to link short-term behavioral changes resulting from human disturbance to potential long-term bioenergetic consequences in animals. It also provides an analytical framework applicable to other species when direct observations of activity states are not possible.

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School-wide curriculum innovations are complex fields of practice, held together by a cast of heterogeneous actors who put various and diverse discourses to work in their everyday efforts to shape their work. This paper draws upon ethnographic data collected in a large regional primary school that since the beginning of 2012 has implemented a school-wide science specialism. In this paper, we focus on one feature of the initiative - classroom animals. We explore the discursive construction of ‘classroom animals' in relation to teachers work and student learning, framing our discussion around three dichotomies found in the data that raise questions about: the nature of science education; what it means to be a good teacher in this context; and, what it means to be a good classroom animal. Tensions between canonical, disciplinary approaches to science education and broader, cross-curricular and critical approaches contribute to the broad context of this paper, and implications for embedding science teaching and learning in the everyday work of primary teachers and students are discussed.

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