Most jurisdictions must assign conservation priorities to peripheral species. British Columbia hosts more than 1300 peripheral taxa, about 900 of which appear on the Red and Blue Lists prepared by the province to guide conservation actions. Conversely, fewer than half of the endemic taxa, or taxa for which the province has major global stewardship responsibility, appear on provincial Red and Blue Lists. We examine why we conserve and list species, concluding that the primary scientific or practical reason is to sustain genetic variability. We consider two broad kinds of peripheral species: disjunct (geographically marginal) populations and continuous peripheral populations that straggle irregularly across provincial boundaries. Populations of both groups may be ecologically marginal, with λ < 1. We document the degree to which each group enters provincial Red and Blue Lists. Factors used to modify rankings of risk are correlated in a fashion that artificially biases continuous peripheral populations toward rankings of higher risk. Federal initiatives in recovery plans for most continuous peripheral species appear doomed to failure for sound biological reasons. We note alternative approaches to ranking species for conservation action and recommend that conservation efforts for peripheral species be focused on disjunct peripheral populations, rather than continuous peripheral populations.

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Enriching health professional students' placement experiences through targeted community engagement has the potential to help develop their preparedness to provide healthcare to the broader community. In 2011 the University of Newcastle Department of Rural Health (UONDRH) embarked on a program of multidisciplinary community engagement which consisted of short, extracurricular community-engaged learning experiences integrated with the students' professional placements. The aim of this study was to investigate whether the program was adding to the students' rural health placement experiences based on perceptions of both the students themselves and UONDRH staff.A mixed methods approach used a student survey (n = 96), which included both closed and open-ended questions, and semi-structured interviews with staff members involved in delivery of the community engagement program (n = 15). Data were explored together for intersections and commonalities. The overarching key concept was 'Enhancing Work Readiness and Employability'. Both student and staff perceived that students' participation in community engagement improved their employment prospects. Three themes emerged from the data, which underpinned and supported the key concept. These were: 'Expanding professional practice capabilities'; 'Building confidence and showing motivation', and 'Better understanding the nature of rural practice'.The results of this study provide support to the notion that there was value for students in this form of short-term, community engagement activities, many of which could be readily integrated into existing health professional education programs with considerable benefits. It would also lend itself to other non-health professional programs, such as law, journalism or business studies, as a means of broadening the students' perspectives beyond the limits of their own professional horizons.

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Renewable energy sources, such as wind energy, are essential tools for reducing the causes of climate change, but wind turbines can pose a collision risk for bats. To date, the population-level effects of wind-related mortality have been estimated for only 1 bat species. To estimate temporal trends in bat abundance, we considered wind turbines as opportunistic sampling tools for flying bats (analogous to fishing nets), where catch per unit effort (carcass abundance per monitored turbine) is a proxy for aerial abundance of bats, after accounting for seasonal variation in activity. We used a large, standardized data set of records of bat carcasses from 594 turbines in southern Ontario, Canada, and corrected these data to account for surveyor efficiency and scavenger removal. We used Bayesian hierarchical models to estimate temporal trends in aerial abundance of bats and to explore the effect of spatial factors, including landscape features associated with bat habitat (e.g., wetlands, croplands, and forested lands), on the number of mortalities for each species. The models showed a rapid decline in the abundance of 4 species in our study area; declines in capture of carcasses over 7 years ranged from 65% (big brown bat [Eptesicus fuscus]) to 91% (silver-haired bat [Lasionycteris noctivagans]). Estimated declines were independent of the effects of mitigation (increasing wind speed at which turbines begin to generate electricity from 3.5 to 5.5 m/s), which significantly reduced but did not eliminate bat mortality. Late-summer mortality of hoary (Lasiurus cinereus), eastern red (Lasiurus borealis), and silver-haired bats was predicted by woodlot cover, and mortality of big brown bats decreased with increasing elevation. These landscape predictors of bat mortality can inform the siting of future wind energy operations. Our most important result is the apparent decline in abundance of four common species of bat in the airspace, which requires further investigation.