Landslide Susceptibility Map of Martin County, Kentucky

The purpose of this map is to identify landslide-prone areas in Martin County in order to provide the public, as well as local and state government agencies, with information about where landslides are likely to occur. This map represents geomorphic-based susceptibility modeling that focuses on physical slope characteristics and morphology, the quality of which is dependent on data accuracy and resolution of terrain models. The availability of high-resolution (5-ft digital elevation model) lidar derived datasets allows for the generation of terrain elevation derivatives such as hillshades, slope, aspect, curvature, and roughness, as well as identification of existing landslide deposits. These high-resolution lidar derived datasets, coupled with landslide inventory mapping, enable us to produce detailed, high-resolution landslide susceptibility maps

Landslide Susceptibility Map of Johnson County, Kentucky

The purpose of this map is to identify landslide-prone areas in Johnson County in order to provide the public, as well as local and state government agencies, with information about where landslides are likely to occur. This map represents geomorphic-based susceptibility modeling that focuses on physical slope characteristics and morphology, the quality of which is dependent on data accuracy and resolution of terrain models. The availability of high-resolution (5-ft digital elevation model) lidar derived datasets allows for the generation of terrain elevation derivatives such as hillshades, slope, aspect, curvature, and roughness, as well as identification of existing landslide deposits. These high-resolution lidar derived datasets, coupled with landslide inventory mapping, enable us to produce detailed, high-resolution landslide susceptibility maps

Landslide Susceptibility Map of Pike County, Kentucky

The purpose of this map is to identify landslide-prone areas in Pike County in order to provide the public, as well as local and state government agencies, with information about where landslides are likely to occur. This map represents geomorphic-based susceptibility modeling that focuses on physical slope characteristics and morphology, the quality of which is dependent on data accuracy and resolution of terrain models. The availability of high-resolution (5-ft digital elevation model) lidar derived datasets allows for the generation of terrain elevation derivatives such as hillshades, slope, aspect, curvature, and roughness, as well as identification of existing landslide deposits. These high-resolution lidar derived datasets, coupled with landslide inventory mapping, enable us to produce detailed, high-resolution landslide susceptibility maps

Landslide Susceptibility Map of Floyd County, Kentucky

The purpose of this map is to identify landslide-prone areas in Floyd County in order to provide the public, as well as local and state government agencies, with information about where landslides are likely to occur. This map represents geomorphic-based susceptibility modeling that focuses on physical slope characteristics and morphology, the quality of which is dependent on data accuracy and resolution of terrain models. The availability of high-resolution (5-ft digital elevation model) lidar derived datasets allows for the generation of terrain elevation derivatives such as hillshades, slope, aspect, curvature, and roughness, as well as identification of existing landslide deposits. These high-resolution lidar derived datasets, coupled with landslide inventory mapping, enable us to produce detailed, high-resolution landslide susceptibility maps

Landslide Susceptibility Map of Magoffin County, Kentucky

The purpose of this map is to identify landslide-prone areas in Magoffin County, Kentucky, in order to provide the public, as well as local and state government agencies, with information about where landslides are likely to occur. This map represents geomorphic-based susceptibility modeling that focuses on physical slope characteristics and morphology, the quality of which is dependent on data accuracy and resolution of terrain models. The availability of high-resolution (5-ft digital elevation model) lidar derived datasets allows for the generation of terrain elevation derivatives such as hillshades, slope, aspect, curvature, and roughness, as well as identification of existing landslide deposits. These high-resolution lidar derived datasets, coupled with landslide inventory mapping, enable us to produce detailed, high-resolution landslide susceptibility maps

Moral Disengagement Mechanisms Predict Cyber Aggression Among Emerging Adults

The Internet has given rise to many new communication tools (e.g., social media, text messaging), which, while beneficial in many respects, have become a means for aggressing against others. As evidence of the adverse correlates of cyber aggression mounts, improved understanding of the mechanisms that facilitate electronic aggression is needed. Moral disengagement (i.e., cognitive processes through which individuals disengage from their moral values) has been shown to predict cyber aggression when assessed as a unitary construct. The present study investigated the eight moral disengagement mechanisms measured by the Moral Disengagement Measure (Detert et al., 2008) and their relationships to four types of cyber aggression perpetration assessed with the Cyberbullying Experiences Survey (i.e., malice, public humiliation, deception, and unwanted contact; Doane et al., 2013). Emerging adults (N = 404, 58.67% women) aged 18 to 29 (M = 25.16, SD = 2.76) recruited through Amazon.com’s MTurk website completed measures online, and data were analyzed via path analysis. Each type of cyber aggression perpetration was predicted by different moral disengagement mechanisms. Advantageous comparison and dehumanization were the strongest predictors, and dehumanization was the only mechanism to predict all forms of cyber aggression. These findings provide support for the role of these mechanisms in cyber aggression and suggest that examining moral disengagement mechanisms individually may help to improve our understanding of cyber aggression among emerging adults. Further clinical and research implications are discussed

Genetic diversity loss in a biodiversity hotspot: ancient DNA quantifies genetic decline and former connectivity in a critically endangered marsupial

The extent of genetic diversity loss and former connectivity between fragmented populations are often unknown factors when studying endangered species. While genetic techniques are commonly applied in extant populations to assess temporal and spatial demographic changes, it is no substitute for directly measuring past diversity using ancient DNA (aDNA). We analysed both mitochondrial DNA (mtDNA) and nuclear microsatellite loci from 64 historical fossil and skin samples of the critically endangered Western Australian woylie (Bettongia penicillata ogilbyi), and compared them with 231 (n = 152 for mtDNA) modern samples. In modern woylie populations 15 mitochondrial control region (CR) haplotypes were identified. Interestingly, mtDNA CR data from only 29 historical samples demonstrated 15 previously unknown haplotypes and detected an extinct divergent clade. Through modelling, we estimated the loss of CR mtDNA diversity to be between 46% and 91% and estimated this to have occurred in the past 2000-4000 years in association with a dramatic population decline. In addition, we obtained near-complete 11-loci microsatellite profiles from 21 historical samples. In agreement with the mtDNA data, a number of 'new' microsatellite alleles was only detected in the historical populations despite extensive modern sampling, indicating a nuclear genetic diversity loss >20%. Calculations of genetic diversity (heterozygosity and allelic rarefaction) showed that these were significantly higher in the past and that there was a high degree of gene flow across the woylie's historical range. These findings have an immediate impact on how the extant populations are managed and we recommend the implementation of an assisted migration programme to prevent further loss of genetic diversity. Our study demonstrates the value of integrating aDNA data into current-day conservation strategies

Species identification of Australian marsupials using collagen fingerprinting

The study of faunal remains from archaeological sites is often complicated by the presence of large numbers of highly fragmented, morphologically unidentifiable bones. In Australia, this is the combined result of harsh preservation conditions and frequent scavenging by marsupial carnivores. The collagen fingerprinting method known as zooarchaeology by mass spectrometry (ZooMS) offers a means to address these challenges and improve identification rates of fragmented bones. Here, we present novel ZooMS peptide markers for 24 extant marsupial and monotreme species that allow for genus-level distinctions between these species. We demonstrate the utility of these new peptide markers by using them to taxonomically identify bone fragments from a nineteenth-century colonial-era pearlshell fishery at Bandicoot Bay, Barrow Island. The suite of peptide biomarkers presented in this study, which focus on a range of ecologically and culturally important species, have the potential to significantly amplify the zooarchaeological and paleontological record of Australia.1. Introduction 2. Material and methods 2.1. Materials 2.1.1. Modern reference specimens 2.1.2. Archaeological specimens 2.2. Collagen extraction 2.3. Matrix-assisted laser desorption/ionization–tandem time of flight mass spectrometry 2.4. Liquid chromatography with tandem mass spectrometry 2.5. Identification and confirmation of biomarkers 3. Results 3.1. Novel ZooMS peptide markers 3.2. Marsupial versus monotreme ZooMS markers 3.3. Marsupial ZooMS markers 3.4. Using ZooMS to identify macropods 3.5. Collagen fingerprinting of archaeological specimens 4. Discussion 4.1. ZooMS insights at Bandicoot Bay 4.2. Comparison to published markers 4.3. Challenges and future prospect

Metal-macrofauna interactions determine microbial community structure and function in copper contaminated sediments

Peer reviewedPublisher PD

‘PRi special edition: The intersections between public relations and neoliberalism’ – The road to nowhere: Re-examining activists’ role in civil societies

The French sociologist Pierre Bourdieu (1977) argued that the presence of critical counter-voices and powers is a fundamental element of any genuine democracy. However, in Australia these counter-voices are increasingly marginalized and threatened by controversial laws that would limit the legal standing of conservation groups and the use of overseas donations for advocacy purposes based on the argument that “systematic, well-funded” environmental campaigns are threatening the nation’s economic prosperity. Drawing on social movement theory and Bourdieu’s theory of practice, this case study details the final months of the Save Beeliar Wetlands campaign in the lead up to the 2017 West Australian state election. The author challenges three common assumptions in the extant PR activism literature: The existence of activists in opposition to organizations and governments, the presence of a ‘zone of compromise’ between activists and the organizations or governments whose actions they are opposing and the conceptualization of activists as homogenous entity. Evolving into a colorful collective of over 35 local groups, five local councils and thousands of individuals, Beeliar Wetland Defenders successfully created an alternative narrative to the State and Federal Governments’ neoliberal agenda. Activists thereby contributed significantly to a change in leadership and the termination of a $1.9billion infrastructure project. This paper argues that activist groups’ interventions in public debate perform a valuable societal voice as critical counter-voices in challenging established hierarchies and power relationships. However, in mounting and framing their arguments within the neoliberal framework, activist groups may also inadvertently reinforce this worldview