Mapping landscape features and values in coastal Australia

Places encompass the physical setting, as well as human experience and interpretation. Although sense of place definition nominally includes the physical environment, most research has emphasized the social construction of sense of place and neglect the important contribution of the physical environment to place meanings and attachment. On the other side, theoretical and technological developments during the past decades resulted in significant sophistication and power of analysis, display, and interpretation of spatial information applied in landscape analysis. This development, however, remains disconnected from the socio-political realities of the communities and regions which are the subject of these studies. There is a research need to integrate public perceptions and attitudes with the type of information typically found in a landscape assessment. A challenge of GIS is whether or not Cartesian space can be adapted to incorporate a more humanistic sense and understanding of distance, direction, and position.

Planning for country: empowering built environment students with Indigenous protocols and knowledge

Increasingly, Built Environment (BE) professionals, including planner, architect and landscape architect practitioners, are becoming involved in the planning and design of projects for, and in direct consultation with Indigenous communities and their proponents. These projects range from inserting Indigenous cultural landscape analysis into planning schemes, including Indigenous protocols and aspirations in policy statements; designing cultural centres, information centres and housing; drafting cultural tourism strategies and devising cross-cultural land management plans. This entails working with Indigenous communities or their nominated representatives as stakeholders in community engagement, consultation, and planning processes. Critically, BE professionals must be able to plan and design with regard to Indigenous community’s cultural protocols, issues and values. Yet many (domestic and or international) students graduate with little or no comprehension of Indigenous knowledge systems or the protocols for engagement with the communities in which they are required to work, whether they be Australian or international Indigenous communities. Contextually, both PIA and the planning academe have struggled with coming to terms with this realm over the last 10 years. This paper will report on a recently completed Australian Government Office of Learning & Teaching (OLT) funded research project that has sought to improve opportunities to improve the knowledge and skills of tertiary students in the BE professions through the enhancement of their competency, appreciation and respect for Indigenous protocols and processes that also implicates the professional accreditation systems that these courses are accountable. It has proposed strategies and processes to expose students in the BE professions to Australian Indigenous knowledge and cultural systems and the protocols for engaging with Indigenous Australians about their rights, interests, needs and aspirations. Included in these findings is the provision of a tool that enables and offers guidance to BE tertiary students and academics how to enhance comprehension, exposure to, and knowledge and cultural systems of, Indigenous Australians. While the scope of this report is cross-BE, this paper will focus upon the planning practice, policy and academe realms.

Comprehensive analysis of big data variety landscape

Big data presents a remarkable opportunity for organisations to obtain critical intelligence to drive decisions and obtain insights as never before. However, big data generates high network traffic. Moreover, the continuous growth in the variety of network traffic due to big data variety has rendered the network to be one of the key big data challenges. In this article, we present a comprehensive analysis of big data variety and its adverse effects on the network performance. We present taxonomy of big data variety and discuss various dimensions of the big data variety features. We also discuss how the features influence the interconnection network requirements. Finally, we discuss some of the challenges each big data variety dimension presents and possible approach to address them.

The clinical landscape of critical care: nurses' decision-making

Background. Many studies have tended to explore individual characteristics that impact on nurses' decision-making, despite significant acknowledgement that context is a major determinant in decision-making. The few studies that have examined environmental influences have tended not to study real decisions in the dynamic and complex clinical environment.

Aims. To investigate environmental influences on nurses' real decisions in the critical care setting.

Method. Naturalistic observations and semi-structured interviews were conducted with 18 critical care nurses in private, public and rural hospitals. Observations and interviews were recorded, transcribed verbatim and coded for themes using content analysis.

Results. All clinical decisions were strongly influenced by the context in which the decision was made. Three main environmental influences were identified: the patient situation, resource availability and interpersonal relationships. Time and risk guided all clinical decisions. Nurses established the state of the situation, the time constraints on decisions and the level of risk involved for both patient and nurse.

Conclusions. Decision-making is a manifestation of the landscape and although an increased understanding of the landscape is required, more important is the need to measure the impact of contextual variables on nurses' decision-making in order to improve health care outcomes.

Engaging, exploring, and experiencing multicultural music in Australian music teacher education : the changing landscape of multicultural music education

ln multicultural Australia, the development of positive intercultural attitudes is essential in the creation of a harmonious society. Music education is a powerful medium to address cultural inclusivity. The 2005 National Review of School Music Education challenges Australian higher education institutions to prepare programs that explore multiculturalism to engender tolerance.This research explored how final year teacher education students at Monash University and Deakin University (Victoria, Australia) engage with music of other cultures and how this affects their understanding of cultural diversity in school music. From 2005 to 2008, teacher education students undertaking music methodologies were invited to participate in semi-structured interviews.The data collected from the interviews were transcribed and analyzed using interpretative phenomenological analysis, and from these data, we developed patterns of meaning that are reported thematically; student teachers' beliefs, attitudes, and understandings of multiculturalism and the classroom realities of multiculturalism.The findings contribute to how we, as tertiary educators, evaluate our role and programs.

Professional experience in new times: issues and responses to a changing education landscape

This paper discusses policy and practice relevant to teacher education and professional experience programs in Australia, aiming to assist not only reading our past and present, but also offering strategic direction with respect to the challenges and opportunities that are emerging within the Australian context. A meta-analysis of current major trends in Australian educational reform and the implications of an 'education revolution' for professional experience are discussed. The paper maps and examines broadly key education agendas of 'productivity, participation and quality'. In relation to these agendas, significant policy trends are identified under the headings of partnerships, preparation and professional learning, and the implications of each for the field of teacher education and professional experience are explored. Some comparisons with similar reforms that have occurred in Scotland and England are offered to provide insights and alternative directions for those working in the field. Finally, a range of possibilities and suggestions, along with cautionary tales of locally based professional experience practices, are provided.

Predicting landscape-genetic consequences of habitat loss, fragmentation and mobility for multiple species of woodland birds

Inference concerning the impact of habitat fragmentation on dispersal and gene flow is a key theme in landscape genetics. Recently, the ability of established approaches to identify reliably the differential effects of landscape structure (e.g. land-cover composition, remnant vegetation configuration and extent) on the mobility of organisms has been questioned. More explicit methods of predicting and testing for such effects must move beyond post hoc explanations for single landscapes and species. Here, we document a process for making a priori predictions, using existing spatial and ecological data and expert opinion, of the effects of landscape structure on genetic structure of multiple species across replicated landscape blocks. We compare the results of two common methods for estimating the influence of landscape structure on effective distance: least-cost path analysis and isolation-by-resistance. We present a series of alternative models of genetic connectivity in the study area, represented by different landscape resistance surfaces for calculating effective distance, and identify appropriate null models. The process is applied to ten species of sympatric woodland-dependant birds. For each species, we rank a priori the expectation of fit of genetic response to the models according to the expected response of birds to loss of structural connectivity and landscape-scale tree-cover. These rankings (our hypotheses) are presented for testing with empirical genetic data in a subsequent contribution. We propose that this replicated landscape, multi-species approach offers a robust method for identifying the likely effects of landscape fragmentation on dispersal.

Spatial patterns, landscape genetics and post virus recovery of blacklip abalone, Haliotis rubra (Leach), in the western commercial fishing zone of Victoria

Historically, collecting nearshore habitat information has been problematic. Existing methods, such as aerial and satellite image interpretation are limited due to the attenuation of light in the water column obscuring the seabed structure. The advent of airborne bathymetric LiDAR (Light Detection and Ranging) systems (laser scanning of the seabed) now provides high-resolution seabed ‘images’ in areas that were previously difficult to survey. LiDAR imagery is available for the entire coastline of Victoria, Australia to depths of around 25 m, after being initially collected for climate change modelling by the Future Coasts Program (http://www.climatechange.vic.gov.au/adapting-to-climate-change/future-coasts). This dataset has provided the opportunity to test its applicability to inform fisheries management. Detailed geophysical information combined with spatially explicit AbTrack GPS located fisheries records and targeted genetic sampling is used in this study to provide a better understanding of the extent of available fishing grounds, direction of fishing effort and stock population structure within the Victorian western zone abalone fishery.
The species distribution modelling technique MaxEnt was used to produce a potential habitat suitability map for abalone in an attempt to capture the effective footprint of the  fishery. Also, by interrogating the spatially defined effort localities, we demonstrate an approach that may be used to identify areas where fishing effort is concentrated, and how this parameter changes temporally.
Despite barriers to adult dispersal (soft sediment barriers between reef patches), the genetic study indicates that larval movement is able to homogenize the gene pool over  large geographic distances. The western, central and eastern zone abalone stocks in Victoria were found to be a single large panmictic unit. This indicates high levels of stock connectivity and no obvious impacts of Abalone Viral Ganglioneuritis (AVG) on the genetic health of western zone stocks. We used detailed seafloor structure information interpreted from LiDAR to inform a replicated hierarchical fine scale genetic sampling design. We demonstrated that there may be extensive migration among abalone stocks across the Victorian abalone fishery.
This is contrary to previous studies that suggest recruitment is highly localised. In combination, these findings provide a valuable insight into the biology of H. rubra and immediate benefits for fisheries management. We discuss these results in the context of predicting resilience and adaptive potential of H. rubra stocks to environmental pressures and the spread of heritable diseases.
Adoption pathways are also provided to benefit future stock augmentation activities to catalyse the recovery of AVG affected reef codes. As larval dispersal is likely to be spatially and temporally variable, some AVG affected stocks are likely to recover through natural recruitment, while others will benefit from augmentation activities to ‘kick-start’ stock recovery. Evidence of neutral genetic homogeneity across Victorian reef codes suggests that the relocation of animals is unlikely to have significant genetic risks; however the potential for locally adaptive genetic differences may exist, and should be taken into consideration in future stock augmentation planning.
When combined, the spatial and genetic analyses provide valuable insights into stock productivity within the western zone fishery. Reefs appear to be expansive and support much available habitat, and the movement of larvae among reef structures is likely to be extensive in this region. Consequently, we propose that colonisation success and productivity is likely to be driven by ecological factors such as resources and/or competition, or physical factors such as wave exposure.

Dynamics and spatio-temporal variability of environmental factors in Eastern Australia using functional principal component analysis

This paper introduces a new technique in ecology to analyze spatial and temporal variability in environmental variables. By using simple statistics, we explore the relations between abiotic and biotic variables that influence animal distributions. However, spatial and temporal variability in rainfall, a key variable in ecological studies, can cause difficulties to any basic model including time evolution. The study was of a landscape scale (three million square kilometers in eastern Australia), mainly over the period of 19982004. We simultaneously considered qualitative spatial (soil and habitat types) and quantitative temporal (rainfall) variables in a Geographical Information System environment. In addition to some techniques commonly used in ecology, we applied a new method, Functional Principal Component Analysis, which proved to be very suitable for this case, as it explained more than 97% of the total variance of the rainfall data, providing us with substitute variables that are easier to manage and are even able to explain rainfall patterns. The main variable came from a habitat classification that showed strong correlations with rainfall values and soil types. © 2010 World Scientific Publishing Company.

Hydrologic landscape regionalisation using deductive classification and random forests

Landscape classification and hydrological regionalisation studies are being increasingly used in ecohydrology to aid in the management and research of aquatic resources. We present a methodology for classifying hydrologic landscapes based on spatial environmental variables by employing non-parametric statistics and hybrid image classification. Our approach differed from previous classifications which have required the use of an a priori spatial unit (e.g. a catchment) which necessarily results in the loss of variability that is known to exist within those units. The use of a simple statistical approach to identify an appropriate number of classes eliminated the need for large amounts of post-hoc testing with different number of groups, or the selection and justification of an arbitrary number. Using statistical clustering, we identified 23 distinct groups within our training dataset. The use of a hybrid classification employing random forests extended this statistical clustering to an area of approximately 228,000 km2 of south-eastern Australia without the need to rely on catchments, landscape units or stream sections. This extension resulted in a highly accurate regionalisation at both 30-m and 2.5-km resolution, and a less-accurate 10-km classification that would be more appropriate for use at a continental scale. A smaller case study, of an area covering 27,000 km2, demonstrated that the method preserved the intra- and inter-catchment variability that is known to exist in local hydrology, based on previous research. Preliminary analysis linking the regionalisation to streamflow indices is promising suggesting that the method could be used to predict streamflow behaviour in ungauged catchments. Our work therefore simplifies current classification frameworks that are becoming more popular in ecohydrology, while better retaining small-scale variability in hydrology, thus enabling future attempts to explain and visualise broad-scale hydrologic trends at the scale of catchments and continents.

A decade of change in Australia’s DBA landscape

Purpose – The purpose of this paper is to examine the dynamics of the Doctorate of Business Administration (DBA) in Australia through the lens of a changing higher education landscape. The paper reflects on issues raised in a previous analysis of DBA programmes undertaken a decade ago, and highlights persistent challenges and emerging opportunities for professional Doctorate programmes in the Australian context.Design/methodology/approach – Interviews were undertaken with higher degree research directors, deans of graduate schools, and DBA programme directors from all 18 Australian institutions offering the DBA in 2013. Quantitative data on enrolments, accreditation requirements, course structures; and demographics are contextualised within a qualitative view of programme purposes, student and institutional motivations, rationales and concerns. Particular focus is given to perceptions of the difference between traditional research doctorates (PhDs) and professional doctorates, especially the DBA.Findings – In the decade from 2003 to 2013 DBA enrolments are down but enquiries are up, indicating unmet demand. There is a shift in the players, with some smaller, regional universities dramatically increasing their enrolments, and larger, traditional institutions exiting the space altogether. Significant changes in accreditation criteria have generated a perceptual shift: where DBAs previously suffered from “academic snobbery” regarding their legitimacy, this perception is being challenged by standards which require DBA equivalence with a PhD. This shift in standards has also created some confusion amongst supervisors and candidates.Originality/value – There is limited research into the DBA award or its candidates, and academic literature is generally silent on DBA supervision. This piece of research, one of very few that specifically examine the DBA, reflects on the past decade, analyses the present context and identifies emerging issues for the delivery of DBA programmes in Australia.

Analysis of circadian rhythms from online communities of individuals with affective disorders

The circadian system regulates 24 hour rhythms in biological creatures. It impacts mood regulation. The disruptions of circadian rhythms cause destabilization in individuals with affective disorders, such as depression and bipolar disorders. Previous work has examined the role of the circadian system on effects of light interactions on mood-related systems, the effects of light manipulation on brain, the impact of chronic stress on rhythms. However, such studies have been conducted in small, preselected populations. The deluge of data is now changing the landscape of research practice. The unprecedented growth of social media data allows one to study individual behavior across large and diverse populations. In particular, individuals with affective disorders from online communities have not been examined rigorously. In this paper, we aim to use social media as a sensor to identify circadian patterns for individuals with affective disorders in online communities.We use a large scale study cohort of data collecting from online affective disorder communities. We analyze changes in hourly, daily, weekly and seasonal affect of these clinical groups in contrast with control groups of general communities. By comparing the behaviors between the clinical groups and the control groups, our findings show that individuals with affective disorders show a significant distinction in their circadian rhythms across the online activity. The results shed light on the potential of using social media for identifying diurnal individual variation in affective state, providing key indicators and risk factors for noninvasive wellbeing monitoring and prediction.

Mid- to late Holocene landscape change and anthropogenic transformations on Mo‘orea, Society Islands: a multi-proxy approach

Archaeology’s ability to generate long-term datasets of natural and human landscape change positions the discipline as an inter-disciplinary bridge between the social and natural sciences. Using a multi-proxy approach combining archaeological data with palaeoenvironmental indicators embedded in coastal sediments, we outline millennial timescales of lowland landscape evolution in the Society Islands. Geomorphic and cultural histories for four coastal zones on Mo‘orea are reconstructed based on stratigraphic records, sedimentology, pollen analysis, and radiocarbon determinations from mid- to late Holocene contexts. Prehuman records of the island’s flora and fauna are described utilizing landsnail, insect, and botanical data, providing a palaeo-backdrop for later anthropogenic change. Several environmental processes, including sea level change, island subsidence, and anthropogenic alterations, leading to changes in sedimentary budget have operated on Mo‘orea coastlines from c. 4600 to 200 BP. We document significant transformation of littoral and lowland zones which obscured earlier human activities and created significant changes in vegetation and other biota. Beginning as early as 440 BP (1416–1490 cal. ad), a major phase of sedimentary deposition commenced which can only be attributed to anthropogenic effects. At several sites, between 1.8 and 3.0 m of terrigenous sediments accumulated within a span of two to three centuries due to active slope erosion and deposition on the coastal flats. This phase correlates with the period of major inland expansion of Polynesian occupation and intensive agriculture on the island, indicated by the presence of charcoal throughout the sediments, including wood charcoal from several economically important tree species.