Validation of an automated data collection method for quantifying social networks in collective behaviours

The social network of preferences among group members can affect the distribution and consequences of collective behaviours. However, the behavioural contexts and taxa in which social network structure has been described are still limited because such studies require extensive data. Here, we highlight the use of an automated passive integrated transponder (PIT)-tag monitoring system for social network analyses and do so in a novel context—nestling provisioning in an avian cooperative breeder, for which direct observation of social behaviours is difficult. First, we used observers and cameras to arrive at a suitable metric of nest visit synchrony in the PIT-tag data. Second, we validated the use of this metric for social network analyses using internal nest video cameras. Third, we used hierarchical regression models with ‘sociality’ parameter to investigate structure of networks collected from multiple groups. Use of PIT tags led to nest visitation duration and frequency being obtained with a high degree of accuracy for all group members, except for the breeding female for whom accurate estimations required the use of a video camera due to her high variability in visitation time. The PIT-tag dataset uncovered significant variability in social network structure. Our results highlight the importance of combining complementary observation methods when conducting social network analyses of wild animals. Our methods can also be generalised to multiple contexts in social systems wherever repeated encounters with other individuals in closed space have ecological implications.     

A longitudinal examination of role overload and work–family conflict: The mediating role of interdomain transitions

Through the lens of boundary theory, we examine whether the relationship between role overload and work–family conflict is explained by the use of interdomain transitions. With a sample of 250 working adults, we examined whether individuals respond to role overload by engaging in interdomain transitions and how the frequency of these transitions influences work–family conflict both concurrently and over time. Results support our expectation that at a given time, interdomain transitions function as an episodic coping mechanism with short‐term costs (greater work–family conflict) and benefits (less role overload). Also, engaging in interdomain transitions was an explanatory variable linking role overload and work–family conflict. We expected that, over time, engaging in interdomain transitions would function as a preventive coping mechanism, serving to reduce role overload. Interestingly though, several of the longitudinal hypotheses were counter to prediction. Our findings provide further evidence for the use of boundary theory in examinations of the work–family interface. Insights on areas within the literature that require further theoretical development are discussed, along with a consideration of the application of emerging methodologies within our empirical designs. Copyright © 2013 John Wiley & Sons, Ltd.     

Climate change impacts on freshwater recreational fishing in the United States

We estimated the biological and economic impacts of climate change on freshwater fisheries in the United States (U.S.). Changes in stream temperatures, flows, and the spatial extent of suitable thermal habitats for fish guilds were modeled for the coterminous U.S. using a range of projected changes in temperature and precipitation caused by increased greenhouse gases (GHGs). Based on modeled shifts in available thermal habitat for fish guilds, we estimated potential economic impacts associated with changes in freshwater recreational fishing using a national-scale economic model of recreational fishing behavior. In general, the spatial distribution of coldwater fisheries is projected to contract, being replaced by warm/cool water and high-thermally tolerant, lower recreational priority (i.e., “rough”) fisheries. Changes in thermal habitat suitability become more pronounced under higher emissions scenarios and at later time periods. Under the highest GHG emissions scenario, by year 2100 habitat for coldwater fisheries is projected to decline by roughly 50 % and be largely confined to mountainous areas in the western U.S. and very limited areas of New England and the Appalachians. The economic model projects a decline in coldwater fishing days ranging from 1.25 million in 2030 to 6.42 million by 2100 and that the total present value of national economic losses to freshwater recreational fishing from 2009 to 2100 could range from $81 million to $6.4 billion, depending on the emissions scenario and the choice of discount rate.     

Consequential cognition: Exploring how attribution theory sheds new light on the firm‐level consequences of product recalls

It is unclear why some firms suffer greater negative consequences than others following a product recall. To shed light on this question, we extend attribution theory to the firm level to explore how consumers engage in an attributional process following product recalls that shapes their responses to firms. Integrating attribution theory and the demand side theoretical perspective, we assert that consumer judgments of responsibility toward manufacturers are shaped by causal data regarding the locus of causality (i.e., manufacturer or supplier) and controllability (i.e., prior knowledge or awareness) of a recalled product's potential for harm. We then examine the impact of product recall characteristics on judgments of responsibility and firm‐level outcomes using an experimental test involving responses from 320 subjects. Our findings suggest that judgments of responsibility are attributed to the manufacturing firm more when consumers are given causal information indicating that the firm is the source of, or is aware of, a product's defects. The results also indicate that judgments of responsibility can have costly firm‐level consequences in the form of reputational damage, diminished consumer purchase intentions, and increased legal damage recommendations. We discuss theoretical contributions, practical implications, and opportunities for further research.     

Pyrolysis mass spectrometry: a fresh approach to old problems in brown algal systematics?

Pyrolysis mass spectrometry (PyMS) has been tested on five freeze-dried cultures of ectocarpoid algae and on live tissue from three field populations of Fucus species. The technique enabled discrimination of Baltic and Irish Sea isolates of Pilayella littoralis. The results were in agreement with the view that P. littoralis and Hincksia ovata may be considered members of a single family (Ectocarpaceae) and support the location of Elachista fucicola in the Elachistaceae. Microspongium globosum was least similar to the other isolates and, on present evidence, should be located in another higher taxon (Myrionemataceae?). Baltic F. vesiculosus could be distinguished from conspecific plants from the Irish Sea, but the technique failed to separate clearly Irish Sea F. serratus and F. vesiculosus. This anomalous result is considered a probable consequence of introgression occurring at a shore level where the two species coexist. It is concluded that PyMS has considerable potential in the study of brown algal systematics.     

A combination line transect and capture-recapture sampling model for multiple observers in aerial surveys

We present a robust sampling methodology to estimate population size using line transect and capture-recapture procedures for aerial surveys. Aerial surveys usually underestimate population density due to animals being missed. A combination of capture-recapture and line transect sampling methods with multiple observers allows violation of the assumption that all animals on the centreline are sighted from the air. We illustrate our method with an example of inanimate objects which shows evidence of failure of the assumption that all objects on the centreline have probability 1 of being detected. A simulation study is implemented to evaluate the performance of three variations of the Lincoln-Petersen estimator: the overall estimator, the stratified estimator, and the general stratified estimator based on the combined likelihood proposed in this paper. The stratified Lincoln-Petersen estimator based on the combined likelihood is found to be generally superior to the other estimators.