13. Mitigating Avian and Bat Mortality at Wolfe Island’s Wind Facility

Author(s):  
Tearney McDermott ◽  
Victoria Ehmann ◽  
Chelsey McCord ◽  
Garrett Morandi

This research focuses on exploring existing mitigation and modification options in order to develop appropriate recommendations to aid TransAlta Corporation in curbing bird and bat mortalities on Wolfe Island. Since the construction and operation of the Wolfe Island wind facility in Frontenac County, Ontario began in 2008, it has contributed to the deaths of many local and migratory birds and bats. While official tallies of avian and bat mortalities to date vary across reports, environmentalist groups and residents alike have expressed concerns for the safety of these species citing the facility’s position on a migratory route along the eastern end of Lake Ontario as a key point of contention (Bazillauskas, A. & Yatchew, A., 2011; Blackwell, R., 2012; Dierschke, J et al., 2006). In response, the power company behind the project, TransAlta Corporation, has begun conducting its own investigation into the issue and producing bi-annual monitoring reports of mortalities but has made no significant alterations to their turbines (TransAlta Corporation, 2012). As part of an effort to reduce the direct and indirect effects of the Wolfe Island wind facility on migrating bird and bat species, this report aims to assess the suitability for TransAlta corporation of certain mitigation options such as running turbines on a rotating schedule to account for the high traffic periods throughout the year when species are likely to be most at risk and avoiding the continuous lighting which attracts nocturnal species to the towers.

Author(s):  
Junghyae Lee ◽  
John Hoornbeek ◽  
Namkyung Oh

This study investigates the effects of cognitive orientations associated with social cognitive theory (SCT) and exercise enjoyment on physical activity (PA) of urban at-risk children, accounting for mediating effects associated with various sources of social support. We use 2016–2017 survey data from 725 school-age children in an urban school district in Akron, Ohio in the United States (US) to inform a structural equation model, which assesses direct and indirect effects of self-efficacy, behavioral intention, and exercise enjoyment on children’s PA, using mediating variables that measure social support that children report receiving from parents, Physical Education (PE) teachers, and peers. We find that self-efficacy and exercise enjoyment have notable direct and indirect effects on the children’s PA. We also find that the support children receive from PE teachers and peers appears to have greater effects on PA than does the children’s reported social support from parents. These findings suggest that children’s social cognitive orientations may influence both sources of perceived social support and the extent to which children engage in PA. While these findings have potential implications for intervention strategies to increase PA among at-risk children, further research is appropriate to improve our understanding of the determinants of PA among at-risk urban children.


2005 ◽  
Author(s):  
Dana M. Binder ◽  
Martin J. Bourgeois ◽  
Christine M. Shea Adams

2020 ◽  
Vol 35 (1) ◽  
Author(s):  
Willem Gravett

The development of artificial intelligence has the potential to transform lives and work practices, raise efficiency, savings and safety levels, and provide enhanced levels of services. However, the current trend towards developing smart and autonomous machines with the capacity to be trained and make decisions independently holds not only economic advantages, but also a variety of concerns regarding their direct and indirect effects on society as a whole. This article examines some of these concerns, specifically in the areas of privacy and autonomy, state surveillance, and bias and algorithmic transparency. It concludes with an analysis of the challenges that the legal system faces in regulating the burgeoning field of artificial intelligence.


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