Where memory failed, journalism prevailed: Anzac Day in three Victorian country newspapers 1916-1925

This article explores how three Victorian country newspapers shaped and reinforced the collective memory of Anzac Day in its first decade, from 1916 to 1925. It draws on a sample of 300 articles, and looks to scholarship on journalism and memory to generate understandings of these newspapers' important role as co-creators and protectors of Anzac Day commemoration. The sample provides evidence that Anzac Day coverage was thematically consistent from the start. The analysis highlights journalists' roles as patriotic cheerleaders for a new, national identity; as collaborators with other social institutions in establishing the commemoration tradition; and as boundary riders, who patrolled less than acceptable Anzac Day behaviour. This role is most striking when communities failed to mark Anzac Day in the early days, as this article reveals.

Quantifying the short-term costs of conservation interventions for fishers at Lake Alaotra, Madagascar

Artisanal fisheries are a key source of food and income for millions of people, but if poorly managed, fishing can have declining returns as well as impacts on biodiversity. Management interventions such as spatial and temporal closures can improve fishery sustainability and reduce environmental degradation, but may carry substantial short-term costs for fishers. The Lake Alaotra wetland in Madagascar supports a commercially important artisanal fishery and provides habitat for a Critically Endangered primate and other endemic wildlife of conservation importance. Using detailed data from more than 1,600 fisher catches, we used linear mixed effects models to explore and quantify relationships between catch weight, effort, and spatial and temporal restrictions to identify drivers of fisher behaviour and quantify the potential effect of fishing restrictions on catch. We found that restricted area interventions and fishery closures would generate direct short-term costs through reduced catch and income, and these costs vary between groups of fishers using different gear. Our results show that conservation interventions can have uneven impacts on local people with different fishing strategies. This information can be used to formulate management strategies that minimise the adverse impacts of interventions, increase local support and compliance, and therefore maximise conservation effectiveness.

I had gone to teach but stayed to learn: Geraldine MacKenzie at Aurukun Mission, 1925-1965

This article examines the missionary career of Geraldine MacKenzie who, with her husband Bill MacKenzie, served on the Presbyterian mission at Aurukun on the Cape York Peninsula between 1925 and 1965. It focuses primarily on MacKenzie’s own interpretation of and reflection on her experiences, as described in her memoir, Aurukun Diary. While the memoir elides some of the more controversial features of the MacKenzies’ tenure at Aurukun, it provides insights into the changing nature of missionary theology and practice on Aboriginal missions in the early twentieth century, particularly as they relate to the role of women—both missionaries and mission residents.

Perceived fairness of pay among people with and without disabilities: a propensity score matched analysis of working Australians

OBJECTIVES: Equity and fairness at work are associated with a range of organizational and health outcomes. Past research suggests that workers with disabilities experience inequity in the workplace. It is difficult to conclude whether the presence of disability is the reason for perceived unfair treatment due to the possible confounding of effect estimates by other demographic or socioeconomic factors. METHODS: The data source was the Household, Income, and Labor Dynamics in Australia (HILDA) survey (2001-2012). Propensity for disability was calculated from logistic models including gender, age, education, country of birth, and father's occupational skill level as predictors. We then used nearest neighbor (on propensity score) matched analysis to match workers with disabilities to workers without disability. RESULTS: Results suggest that disability is independently associated with lower fairness of pay after controlling for confounding factors in the propensity score matched analysis; although results do suggest less than half a standard deviation difference, indicating small effects. Similar results were apparent in standard multivariable regression models and alternative propensity score analyses (stratification, covariate adjustment using the propensity score, and inverse probability of treatment weighting). CONCLUSIONS: Whilst neither multivariable regression nor propensity scores adjust for unmeasured confounding, and there remains the potential for other biases, similar results for the two methodological approaches to confounder adjustment provide some confidence of an independent association of disability with perceived unfairness of pay. Based on this, we suggest that the disparity in the perceived fairness of pay between people with and without disabilities may be explained by worse treatment of people with disabilities in the workplace.

Does gender explain the relationship between occupation and suicide? Findings from a meta-analytic study

This report investigated whether suicide risk by occupational groups differed for males and females. We examined this using a sub-set of articles examined in a recent meta-analysis and stratified by gender. For certain occupational groups, males and females had a similar risk of suicide (the military, community service occupations, managers, and clerical workers). There was some indication of gender differences for other occupations (technicians, plant and machine operators and ship’s deck crew, craft and related trades workers, and professionals), although these did not reach statistical significance. These findings highlight the complexity of the relationship between occupation and suicide and suggest the possible role of a range of individual, work-related and social-environmental risk factors that may differ for males and females.

Working hours and mental health in Australia: evidence from an Australian population-based cohort, 2001-2012

Objectives: This paper assesses the impact of working less than or more than standard full-time hours on mental health, as well as possible differences in this relationship by gender and skill level. Methods: The study design was a longitudinal cohort with 12 annual waves of data collection over the period 2001-2012, yielding a sample of 90 637 observations from 18 420 people. Fixed effects within-person regression was used to control for time invariant confounding. The Mental Component Summary of the Short Form 36 (SF-36) measure was used as the primary outcome measure. Working hours over the preceding year was measured in five categories with standard full-time hours (35-40 h/week) as the reference. Results: Results indicated that when respondents were working 49-59 h (-0.52, 95% CI -0.74 to -0.29, p<0.001) and 60 h or more (-0.47, 95% CI -0.77 to -0.16, p=0.003) they had worse mental health than when they were working 35-40 h/week (reference). The difference in mental health when working 49-59 h was greater for women than for men. There were greater declines in mental health in relation to longer working hours among persons in higher compared to lower occupational skill levels. Conclusions: Study results suggest the need for employers and governments to regulate working hours to reduce the burden of mental ill health in the working population.

Suicide in veterinarians and veterinary nurses in Australia: 2001-2012

BACKGROUND: Whether veterinarians have an elevated suicide rate compared with the general population is controversial. METHODS: Reported cases of suicide among veterinarians and veterinary nurses in Australia over the period 2001 to 2012 were investigated in a retrospective case-series study. RESULTS: The standardised mortality ratio of veterinarians (n = 18) was 1.92 (95% CI 1.14-3.03) and that of veterinary nurses (n = 7) to the general population was 1.24 (95% CI 0.80-1.85). Overdosing on drugs (pentobarbitone) was the main method of suicide in these occupations. CONCLUSION: The reasons for veterinary suicides are likely to be multifactorial, including work- and life-related stressors, and individual characteristics. This research highlights the need for targeted suicide prevention and intervention for veterinarians.

Using occupancy as a state variable for monitoring the critically endangered Alaotran gentle lemur Hapalemur alaotrensis

Although monitoring is an essential tool for biodiversity conservation, monitoring programmes are often poorly designed and thus unlikely to produce results that are meaningful for management. Monitoring is especially challenging when dealing with rare and elusive species in areas where conservation resources are particularly limited. In such cases, monitoring techniques aimed at estimating occupancy represent an attractive alternative to traditional methods concerned with estimating population size, as the collection of detection/non-detection data is in general less costly and easier to implement. In this study, we evaluated the use of occupancy as a state variable for the monitoring of the Alaotran gentle lemur Hapalemur alaotrensis, a Critically Endangered primate exclusively inhabiting the dense marshes around Lake Alaotra in Madagascar. We used a likelihood-based modelling approach that explicitly accounts for detectability. This showed that the probability of detection of H. alaotrensis was extremely low and depended on site characteristics that can vary in space and time, confirming the need to account for imperfect detection when monitoring this species. We used our models to explore factors affecting the probability of occupancy and detection to identify management implications, and also developed recommendations for the ongoing monitoring of this species. The method applied in this study provides an efficient tool for the monitoring of an elusive species and has the potential to provide a flexible sampling framework for local community based monitoring initiatives.

Monitoring and conservation of the critically endangered Alaotran gentle lemur Hapalemur alaotrensis

The Alaotran gentle lemur Hapalemur alaotrensis is a Critically Endangered lemur, which exclusively inhabits the marshes around Lac Alaotra in northeast Madagascar. In the past decades the population of H. alaotrensis has experienced a dramatic decline due to poaching, habitat destruction and degradation. Surveys have been carried out periodically to follow the status of the population. Here we present the results of a survey carried out between May and June 2008 in the southwestern part of the marshes around Alaotra and discuss the key findings derived from the analysis of the data collected. Our study indicates that the probability of detecting the species in an area where it is present is very low and depends on factors that vary in space and time. These results stress the need to account for imperfect detection when monitoring this species, an issue especially relevant when reporting population trends. Our analyses also show that habitat fragmentation is a key determinant of habitat suitability for H. alaotrensis, with fragmented areas of marsh showing low suitability. Finally, our observations and analysis suggest that the protection provided by the local community to H. alaotrensis in Andreba is contributing to the conservation of this Critically Endangered species. This highlights the need to continue working on engaging the local communities in the conservation of the marshes at Lac Alaotra as a critical element to secure the future of H. alaotrensis.

Satellite imagery as a single source of predictor variables for habitat suitability modelling: how Landsat can inform the conservation of a critically endangered lemur

1. Statistical modelling of habitat suitability is an important tool for planning conservation interventions, particularly for areas where species distribution data are expensive or hard to collect. Sometimes however the predictor variables typically used in habitat suitability modelling are themselves difficult to obtain or not meaningful at the geographical extent of the study, as is the case for the Alaotran gentle lemur Hapalemur alaotrensis, a critically endangered lemur confined to the marshes of Lake Alaotra in Madagascar.2. We developed a habitat suitability model where all predictor variables, including vegetation indices and image texture measures at different scales (as surrogates for habitat structure), were derived from Landsat7 satellite imagery. Using relatively few presence records, the maximum entropy (Maxent) approach and AUC were used to assess the performance of candidate predictor variables, for studying the effect of scale, model selection and mapping suitable habitat.3. This study demonstrated the utility of satellite imagery as a single source of predictor variables for a Maxent habitat suitability model at the landscape level, within a restricted geographical extent and with a fine grain, in a case where predictor variables typically used at the macro-scale level (e.g. climatic and topographic) were not applicable.4. In the case of H. alaotrensis, the methodology generated a habitat suitability map to inform conservation management in Lake Alaotra and a replicable protocol to allow rapid updates to habitat suitability maps in the future. The exploration of candidate predictor variables allowed the identification of scales that appear ecologically relevant for the species.5. Synthesis and applications. This study presents a cost-effective combination of maximum entropy habitat suitability modelling and satellite imagery, where all predictor variables are derived solely from Landsat7 images. With a habitat modelling method like Maxent that shows good performance with few presence samples and Landsat images now freely available, the methodology can play an important role in rapid assessments of the status of species at the landscape level in data-poor regions, when typical macro-scale environmental predictors are of little use or difficult to obtain.

Should payments for biodiversity conservation be based on action or results?

There is growing interest in the potential of payments for ecosystem services (PES) to encourage land managers to protect and enhance the environment. However, questions remain about how PES agreements should be designed. There is a division between schemes that structure payments by action or by results, with most biodiversity PES schemes, including European agri-environment schemes, paying by action; for example incentivising land managers to carry out actions believed to increase biodiversity. Payment by results is a common incentive structure in the private sector (e.g. labourers doing piece work or no-win no-fee lawyers) but rarer in PES. Using a theoretical modelling approach, we investigate the conditions under which each way of structuring payments may be more cost-effective in a biodiversity PES. Payment by action is favoured where there is a clear action that can be specified at an appropriate level and to which biodiversity is sensitive. We found that payment by results is favoured in degraded landscapes as incentives are created for managers to use their private knowledge and join the scheme only if they can produce the biodiversity services targeted by the scheme. Payment by results is also favoured where biodiversity is less sensitive to conservation action and when it is difficult for a central agency to determine an appropriate level of conservation action. This is because payment by results allows individual managers to optimise their level of action. The relative cost of monitoring action (compliance with an agreement to manage in a certain way) versus results (the presence of biodiversity) has a substantial effect on which payment structure is more efficient only when the central agency can accurately set an appropriate level of action. We illustrate these principles with examples based on agri-environment schemes. Synthesis and applications. Payment by results deserves more attention from those designing biodiversity PES (be they agri-environment schemes in agricultural landscapes or direct payment schemes in more intact ecosystems). This paper provides a formal framework to help policy makers identify the conditions under which payment by results or payment by action is most likely to yield cost-effective biodiversity conservation. © 2011 The Authors. Journal of Applied Ecology © 2011 British Ecological Society.

The impact of data realities on conservation planning

Conservation planning decisions are typically made on the basis of species distribution or occurrence data, which ideally would have complete spatial and taxonomic coverage. Agencies are constrained in the data they can collect, often pragmatically prioritising certain groups such as threatened species, or methods, such as volunteer surveys. This mismatch between goals and realities inevitably leads to bias and uncertainty in conservation planning outputs, yet few studies have assessed how data realities affect planning outputs. We conducted a sensitivity analysis on the Protection Index, a method for assessing conservation progress and priorities, using an extensive dataset on species occurrences and distributions derived from the Florida Natural Areas Inventory. Analyses revealed a high proportion of occurrence records for threatened species and certain taxonomic groups, reflecting the agencies' priorities. We performed a sensitivity analysis on conservation planning outputs, simulating a 'data poor' scenario typical of many real situations; we deleted increasing amounts of data in both a biased (exaggerating patterns observed) and unbiased (random) manner. We assessed the effects of data paucity and bias on the value of potential conservation sites, and planning priorities. Certain high value sites with only a few important species occurrences were more sensitive to data depletion than those with many occurrences. Data bias based on taxonomic bias was more influential to site value than threat rank. To maximise benefit from surveys from a planning perspective, it would be better to focus on poorly surveyed areas rather than adding occurrences in already well represented sites. This study demonstrates the importance of sensitivity analysis in conservation planning, and that the effects of uncertainty and data quality on planning decisions should not be ignored. © 2011 Elsevier Ltd.

Making robust policy decisions using global biodiversity indicators

In order to influence global policy effectively, conservation scientists need to be able to provide robust predictions of the impact of alternative policies on biodiversity and measure progress towards goals using reliable indicators. We present a framework for using biodiversity indicators predictively to inform policy choices at a global level. The approach is illustrated with two case studies in which we project forwards the impacts of feasible policies on trends in biodiversity and in relevant indicators. The policies are based on targets agreed at the Convention on Biological Diversity (CBD) meeting in Nagoya in October 2010. The first case study compares protected area policies for African mammals, assessed using the Red List Index; the second example uses the Living Planet Index to assess the impact of a complete halt, versus a reduction, in bottom trawling. In the protected areas example, we find that the indicator can aid in decision-making because it is able to differentiate between the impacts of the different policies. In the bottom trawling example, the indicator exhibits some counter-intuitive behaviour, due to over-representation of some taxonomic and functional groups in the indicator, and contrasting impacts of the policies on different groups caused by trophic interactions. Our results support the need for further research on how to use predictive models and indicators to credibly track trends and inform policy. To be useful and relevant, scientists must make testable predictions about the impact of global policy on biodiversity to ensure that targets such as those set at Nagoya catalyse effective and measurable change.

Global biodiversity indicators reflect the modeled impacts of protected area policy change

Global biodiversity indicators can be used to measure the status and trends of biodiversity relating to Convention on Biological Diversity (CBD) targets. Whether such indicators can support decision makers by distinguishing among policy options remains poorly evaluated. We tested the ability of two CBD indicators, the Living Planet Index and the Red List Index, to reflect projected changes in mammalian populations in sub-Saharan Africa in response to potential policies related to CBD targets for protected areas (PAs). We compared policy scenarios to expand the PA network, improve management effectiveness of the existing network, and combinations of the two, against business as usual. Both indicators showed that more effective management would provide greater benefits to biodiversity than expanding PAs alone. The indicators were able to communicate outcomes of modeled scenarios in a simple quantitative manner, but behaved differently. This work highlights both the considerable potential of indicators in supporting decisions, and the need to understand how indicators will respond as biodiversity changes.

Supporting culturally and linguistically diverse students during clinical placement: strategies from both sides of the table

Background: Increasing proportions of Culturally and Linguistically Diverse (CALD) students within health professional courses at universities creates challenges in delivering inclusive training and education. Clinical placements are a core component of most health care degrees as they allow for applied learning opportunities. A research gap has been identified in regard to understanding challenges and strategies for CALD students in health professional placements.

Methods: A key stakeholder approach was used to examine barriers and enablers experienced by CALD students in clinical placement. Semi-structured focus groups with healthcare students (n = 13) and clinical placement supervisors (n = 12) were employed. The focus groups were analysed using open coding and thematic analysis.

Results: Three main barrier areas were identified: placement planning and preparation; teaching, assessment and feedback; and cultural and language issues. Potential solutions included addressing placement planning and preparation barriers, appropriate student placement preparation, pre-placement identification of higher risk CALD students, and diversity training for supervisors. For the barrier of teaching, assessment & feedback, addressing strategies were to: adapt student caseloads, encourage regular casual supervisor-student conversations, develop supportive placement delivery modes and structures, set expectations early, model the constructive feedback process, use visual aids, and tailor the learning environment to individual student needs. The enablers for cultural & language issues were to: build language and practical approaches for communication, raise awareness of the healthcare system (how it interacts with healthcare professions and how patients access it), and initiate mentoring programs.

Conclusions: The findings suggest that teaching and learning strategies should be student-centred, aiming to promote awareness of difference and its impacts then develop appropriate responses by both student and teacher. Universities and partnering agencies, such as clinical training providers, need to provide an inclusive learning environment for students from multiple cultural backgrounds.