Implementing falls prevention research into policy and practice in Australia: past, present and future

Introduction

Falls in older Australians are a significant public health issue with one in three older people falling one or more times each year.

Method

Many fall prevention randomized controlled trials have been conducted in Australia as well as across the world.

Results

The findings of these studies now constitute a substantial evidence base that can provide direction for health and lifestyle interventions for preventing falls in older people. This research evidence has contributed to health policy in Australia to some extent, but is yet to be widely implemented into practice. This opinion piece overviews previous policy initiatives and describes a new Partnership research program funded by the Australian National Health and Medical Research Council (NHMRC), which seeks to further influence health policy and address the ongoing research-practice gap.     

Understanding the North–South knowledge divide and its implications for policy: a quantitative analysis of the generation of scientific knowledge in the environmental sciences

The paper investigates the scientific knowledge divide in the environmental sciences between developed and developing countries and explores the implications and impacts on both science and policymaking. Quantitative data analysis of more than 6400 scientific papers published in 1993–2003 yield evidence for a growing divide in authorship, publication rates, and location of scientific research in nine environmental journals with high impact factor ratings. In addition to this severe imbalance in publication rates between developed and developing countries, we also find a research bias toward certain eco-climatic zones. More than 80% of papers are published in and about temperate and cold eco-climatic zones. Only 13% of the papers in our study are based on research in the dry sub-tropical and tropical zones, although these eco-climatic zones account for more than 52% of the world's land area. Based on these results, we discuss how the limited empirical source and focus of environmental research undermine the claims of universality of environmental science and what consequences this may have on policymaking processes at different levels. Finally, we briefly explore some short- and long-term strategies to address the knowledge divide.     

Using Niche-Based Models to Improve the Sampling of Rare Species

Abstract:  Because data on rare species usually are sparse, it is important to have efficient ways to sample additional data. Traditional sampling approaches are of limited value for rare species because a very large proportion of randomly chosen sampling sites are unlikely to shelter the species. For these species, spatial predictions from niche-based distribution models can be used to stratify the sampling and increase sampling efficiency. New data sampled are then used to improve the initial model. Applying this approach repeatedly is an adaptive process that may allow increasing the number of new occurrences found. We illustrate the approach with a case study of a rare and endangered plant species in Switzerland and a simulation experiment. Our field survey confirmed that the method helps in the discovery of new populations of the target species in remote areas where the predicted habitat suitability is high. In our simulations the model-based approach provided a significant improvement (by a factor of 1.8 to 4 times, depending on the measure) over simple random sampling. In terms of cost this approach may save up to 70% of the time spent in the field.     

Application of machine learning methods to palaeoecological data

A palaeoecological study was conducted to investigate past environmental conditions and vegetation dynamics around the southwestern Ljubljana Moor. In order to find potential regularities and/or dependencies among co-existent plant species through time, different machine learning methods were applied to pollen records from the cores taken at Bistra and Ho?evarica. The data comprised relative pollen frequencies of the most common plant genera/families at particular core depths that correspond to particular ages in the Early and Mid Holocene periods. The applied methods include equation discovery and hierarchical clustering. Both methods have found plausible and explainable relationships among identified plant genera/families.     

Measuring knowledge of indoor environmental hazards

People spend most of their time indoors, where air pollution levels rival and often exceed those outdoors for a number of important pollutants. Yet, little is known about people’s knowledge of indoor environmental hazards. The purpose of the current study was to construct a measure of indoor environmental knowledge. A set of 78 true/false items were developed with input from a panel of experts. The set of items was truncated with traditional item analyses, resulting in a reliable set of 21 items (α = .79). Concurrent validity was established by a significant correlation between the indoor environmental knowledge (IEK) scale and an established measure of science literacy (r = 0.44, p < .001). Schema theory guided the assumption that the two measures should be related. Convergent validity was established by the significant regression of science literacy, formal education in science and math, and status as an engineering student on IEK scale score, accounting for 25% of the variance in the IEK scale score. Future research avenues are proposed and limitations are discussed.     

The social side of spatial decision support systems: Investigating knowledge integration and learning

Spatial decision support systems (SDSS) represent a step forward in efforts to account for the spatial dimension in environmental decision-making. The aim of SDSS is to help policymakers and practitioners access, interpret and understand information from data, analyses and models, and guide them in identifying possible actions during a decision-making process. Researchers, however, report difficulties in up-take of SDSS by the intended users. Some suggest that this field would benefit from investigation of the social aspects involved in SDSS design, development, testing and use. Borrowing insights from the literature on science-policy interactions, we explore two key social processes: knowledge integration and learning. Using a sample of 36 scientific papers concerning SDSS in relation to environmental issues, we surveyed whether and how the selected papers reported on knowledge integration and learning. We found that while many of the papers mentioned communication and collaboration with prospective user groups or stakeholders, this was seldom underpinned by a coherent methodology for enabling knowledge integration and learning to surface. This appears to have hindered SDSS development and later adoption by intended users.     

National laws and policies can enable or confound adaptive governance: Examples from South African national parks

There is growing appreciation that protected areas, like all social-ecological systems (SES), are inherently complex and face an unpredictable future under the influence of global environmental change. Adaptive management is the accepted approach for managing complex SES to ensure their resilience, but unless it is supported by a governance system that is itself adaptive it has little chance of success. Scholars have identified certain principles conducive to adaptive governance. Environmental legislation, an important component of the governance system, is often misaligned with these principles. In this paper we assess adaptive governance principles with regard to legislation governing South Africa’s national parks. This assessment indicates that, to enable adaptive governance and adaptive management, legislation should (1) be co-produced by policy-makers, policy implementers and users of protected area ecosystem services; (2) commit and empower management agencies to apply the principles of adaptive governance and adaptive management, particularly in the collaborative development of management plans; (3) commit agencies to review management plans and allow flexibility to adapt plans; (4) ensure that the temporal and spatial scales of the governance system match those of the SES being managed; (5) anticipate change and avoid assumptions of system stability and predictability; and (6) provide for flexible financing mechanisms, so that funds can be prioritised and timed to meet the unpredictable demands of complex systems.     

Gaps in provincial decision-maker’s perception and knowledge of climate change adaptation in China

The perspectives and knowledge of decision makers, especially those at the provincial level, have great impact on the progress of climate change adaptation in China. Therefore, identifying knowledge gaps and enhancing climate adaptation awareness of decision makers at that level is very important. Based on this aim, we conducted a survey of climate change adaptation awareness among 85 administrative and management personnel from governmental departments responsible for climate change adaptation planning in five provinces. Study findings revealed that over half of respondents have knowledge of climate change adaptation measures, but the extent of understanding varied across different adaptation aspects and regions. Among the different aspects, understanding of measures related to human health protection was the lowest. A large majority of respondents indicated an eagerness to obtain knowledge and information about climate change adaptation, but the main barrier is a lack of training and learning material. When making adaptation plans or policies, the greatest obstacle expressed was a funding shortage. Information generated from this study can provide direction and guidance for training and educating provincial decision makers in order to improve the levels of adaptation planning and policy making.     

Contesting neoliberal knowledge politics in restoration governance: the restorationist’s dilemma

ABSTRACT

The success of ecological restoration efforts is tightly coupled with the effectiveness of many U.S. environmental policies. Yet scholars have raised questions about the ability of restoration to produce intended results. We use a case study of tidal wetland restoration planning in Oregon to examine how neoliberal environmental governance exercises influence through a set of knowledge politics that produces subpar outcomes. We present three main findings: (1) restoration policies produce a restoration economy based on a conception of wetland as commodity (2) practitioners in this restoration economy exhibit competitive behavior resulting in a piecemeal rather than a landscape approach to restoration; and (3) limited monitoring prevents changes to existing policies. Practitioners offer insight into the challenge of treating wetlands as a commodity and call for more monitoring to challenge the assumptions of hegemonic knowledge practices that reinforce a neoliberal environmental governance regime. The divergent ideas of reflexive practitioners, though not yet manifest as action, show where changes to restoration governance might be possible.