Sampling environmental acoustic recordings to determine bird species richness

Acoustic sensors can be used to estimate species richness for vocal species such as birds. They can continuously and passively record large volumes of data over extended periods. These data must subsequently be analyzed to detect the presence of vocal species. Automated analysis of acoustic data for large numbers of species is complex and can be subject to high levels of false positive and false negative results. Manual analysis by experienced surveyors can produce accurate results; however the time and effort required to process even small volumes of data can make manual analysis prohibitive. This study examined the use of sampling methods to reduce the cost of analyzing large volumes of acoustic sensor data, while retaining high levels of species detection accuracy. Utilizing five days of manually analyzed acoustic sensor data from four sites, we examined a range of sampling frequencies and methods including random, stratified, and biologically informed. We found that randomly selecting 120 one-minute samples from the three hours immediately following dawn over five days of recordings, detected the highest number of species. On average, this method detected 62% of total species from 120 one-minute samples, compared to 34% of total species detected from traditional area search methods. Our results demonstrate that targeted sampling methods can provide an effective means for analyzing large volumes of acoustic sensor data efficiently and accurately. Development of automated and semi-automated techniques is required to assist in analyzing large volumes of acoustic sensor data. Read More: http://www.esajournals.org/doi/abs/10.1890/12-2088.1

Robots for environmental monitoring : significant advancements and applications

Robotic systems are increasingly being utilised as fundamental data-gathering tools by scientists, allowing new perspectives and a greater understanding of the planet and its environmental processes. Today's robots are already exploring our deep oceans, tracking harmful algal blooms and pollution spread, monitoring climate variables, and even studying remote volcanoes. This article collates and discusses the significant advancements and applications of marine, terrestrial, and airborne robotic systems developed for environmental monitoring during the last two decades. Emerging research trends for achieving large-scale environmental monitoring are also reviewed, including cooperative robotic teams, robot and wireless sensor network (WSN) interaction, adaptive sampling and model-aided path planning. These trends offer efficient and precise measurement of environmental processes at unprecedented scales that will push the frontiers of robotic and natural sciences.

High resolution melt analysis : a novel method for studying the genetic relatedness of Pseudomonas aeruginosa isolates from clinical and environmental sources

A novel method was developed for studying the genetic relatedness of Pseudomonas aeruginosa isolates from clinical and environmental sources. This bacterium is ubiquitous in the natural environment and is an important pathogen known to infect Cystic Fibrosis (CF) patients. The transmission route of strains has not yet been defined; current theories include acquisition from an environmental source or through patient-to-patient spread. A highly discriminatory, bioinformatics based, DNA typing method was developed to investigate the relatedness of clinical and environmental isolates. This study found a similarity between the environmental and several CF clonal strains and also highlighted occurrence of environmental P. aeruginosa strains in CF infections.

Antibiotic resistance and virulence traits in clinical and environmental Enterococcus faecalis and Enterococcus faecium isolates

This study compared virulence and antibiotic resistance traits in clinical and environmental E. faecalis and E. faecium isolates. E. faecalis isolates harboured a broader spectrum of virulence determinants compared to E. faecium isolates. The virulence traits Cyl-A, Cyl-B, Cyl-M, gel-E and esp were tested and environmental isolates predominantly harboured gel-E (80% of E. faecalis and 31.9% of E. faecium) whereas esp was more prevalent in clinical isolates (67.79% of E. faecalis and 70.37 % of E. faecium). E. faecalis and E. faecium isolated from water had different antibiotic resistance patterns compared to those isolated from clinical samples. Linozolid resistance was not observed in any isolates tested and vancomycin resistance was observed only in clinical isolates. Resistance to other antibiotics (tetracycline, gentamicin, ciprofloxacin and ampicillin) was detected in both clinical and water isolates. Clinical isolates were more resistant to all the antibiotics tested compared to water isolates. Multi-drug resistance was more prevalent in clinical isolates (71.18% of E. faecalis and 70.3 % of E. faecium) compared to water isolates (only 5.66 % E. faecium). tet L and tet M genes were predominantly identified in tetracycline-resistant isolates. All water and clinical isolates resistant to ciprofloxacin and ampicillin contained mutations in the gyrA, parC and pbp5 genes. A significant correlation was found between the presence of virulence determinants and antibiotic resistance in all the isolates tested in this study (p<0.05). The presence of antibiotic resistant enterococci, together with associated virulence traits, in surface recreational water could be a public health risk.

Pedagogy and community engagement in environmental design courses

This article describes an evaluation of student experiences in environmental design courses with a community engagement focus. It aims to identify pedagogical approaches that minimize obstacles faced by students while maximizing learning opportunities. Focus groups composed of undergraduate students in seven classes generated three major findings: (1) learning how to effectively engage with community partners is one of the most beneficial challenges of this type of course; (2) logistical hurdles and course characteristics that limited students’ ability to connect with the community partners or synthesize the social, emotional, technical, and theoretical aspects of the course were perceived as learning obstacles; and (3) social and emotional connections with community partners are the most educationally significant part of the experience for students. The conclusion discusses recommendations for how environmental design instructors can take advantage of the unique social and emotional connections with community partners that facilitated community engagement can foster, while limiting the learning obstacles that students may experience. Areas for future research

Learning English by walking down the street

With internationalisation and globalisation, English has proliferated in urban spaces around the world. This creates new opportunities for EFL learning and teaching. An English literacy walk is one activity that can be used productively to capitalise on this potential. The activity has roots in: (i) long-established approaches to emergent literacy education for young children; and (ii) pedagogic projects inspired by recent research on linguistic landscapes. Drawing on these traditions, teachers can target reading outcomes involving code, semantic, pragmatic and critical knowledge and skills. We use the four resources model of literate practices to systematically map some of the potential of literacy walks in multilingual, multimodal linguistic landscapes. We suggest tasks and teacher questions that might be used for purposes of explicit teaching of reading during and after literacy walks. Although grounded in Taipei, our ideas might be of interest to EFL teachers in other globalised cities around the world.

The impact of professional development on early childhood educators’ confidence, understanding and knowledge of education for sustainability

In recent times, Australia has recognised and enacted a range of initiatives at service, system and community levels that seek to embed sustainability into the early childhood sector. This paper explores the impact of a professional development (PD) session that provided opportunities for early childhood educators to learn and share ideas about the theory and practice of sustainability generally and early childhood education for sustainability (ECEfS) specifically. The PD was entitled ‘Living and Learning about Sustainability in the Early Years’ and was offered on three occasions across Tasmania. A total of 99 participants attended the three PD sessions (one 5 hour; two 2 hour). The participants had varying levels of experience and included early childhood teachers, centre based educators and preservice teachers. At the start and end of the PD, participants were invited to complete a questionnaire that contained a series of likert scale questions that explored their content knowledge, level of understanding and confidence in regards to ECEfS. Participants were also asked at the start and end of the PD to ‘list five words you think of when you consider the word sustainability.’ A model of teacher professional growth was used to conceptualise the results related to the changes in knowledge, understanding and confidence (personal domain) as a result of the PD related to ECEfS (external domain). The likert-scale questions on the questionnaire revealed significant positive changes in levels of knowledge, understanding and confidence from the start to the end of the PD. Differences as a function of length of PD, level of experience and role are presented and discussed. The ‘5 words’ question showed that participants widened their understandings of ECEfS from a narrow environmental focus to a broader understanding of the social, political and economic dimensions. The early childhood education and care (ECEC) sector has been characterised as having a pedagogical advantage for EfS suggesting that early childhood educators are well placed to engage with EfS more readily than might educators in other education sectors. This article argues that PD is necessary to develop capability in educators in order to meet the imperatives around sustainability outlined in educational policy and curriculum documents in ECEC.

More than merely wicked : regulating sewage discharges and other unspeakable problems in environmental policy-making and planning

While the communicative turn in policy-making has encouraged the public deliberation of policy decisions it has arguably had a more limited impact on the ability of public processes to deal with wicked problems. Wicked policy problems are characterised by high levels of complexity, uncertainty and divergence of values. However, some wicked problems present the additional challenge of high levels of psychosocial sensitivity and verbal proscription. Because these unspeakable policy problems frequently involve a significant moral dimension, the regulation of intimate processes or bodies, and strong elements of abjection and symbolic pollution they are quite literally problems that we don’t like to think about or talk about. However, the potential environmental and social impacts of these problems require that they be addressed. In this paper I present the preliminary findings of a research project focussed on the idea of the unspeakable policy problem and how its unspeakable nature can impact upon public participation and policy and environmental outcomes.

Environmental sustainability of urban road transport : an integrated analysis for life cycle emission impact

Despite of significant contributions of urban road transport to global economy and society, it is one of the largest sources of local and global emission impact. In order to address the environmental concerns of urban road transport it is imperative to achieve a holistic understanding of contributory factors causing emissions which requires a complete look onto its whole life cycle. Previous studies were mainly based on segmental views which mostly studied environmental impacts of individual transport modes and very few considered impacts other than operational phase. This study develops an integrated life cycle inventory model for urban road transport emissions from a holistic modal perspective. Singapore case was used to demonstrate the model. Results show that total life cycle greenhouse gas emission from Singapore’s road transport sector is 7.8 million tons per year. The total amount of criteria air pollutants are also estimated in this study.

Assessment of socio-environmental drivers of suicide in Australia

This study examined the association between socio-environmental factors and suicide in Australia. The high risk areas were identified using advanced spatial analysis methods. Higher proportion of Indigenous population, unemployment rate and bigger temperature difference appeared to be among the main socio-environmental drivers of suicide across different places. Both temperature difference and unemployment were positively associated with suicide over time in general. Temperature difference seemed to affect suicide more in months when unemployment rates were high compared with the periods when unemployment rates were low. The findings may provide useful information for determining the socio-environmental impact on suicide and designing effective suicide control and prevention programs.

How Can Models of Motor Control Be Useful for Understanding Low Back Pain?

Introduction. The purpose of this chapter is to address the question raised in the chapter title. Specifically, how can models of motor control help us understand low back pain (LBP)? There are several classes of models that have been used in the past for studying spinal loading, stability, and risk of injury (see Reeves and Cholewicki (2003) for a review of past modeling approaches), but for the purpose of this chapter we will focus primarily on models used to assess motor control and its effect on spine behavior. This chapter consists of 4 sections. The first section discusses why a shift in modeling approaches is needed to study motor control issues. We will argue that the current approach for studying the spine system is limited and not well-suited for assessing motor control issues related to spine function and dysfunction. The second section will explore how models can be used to gain insight into how the central nervous system (CNS) controls the spine. This segues segue nicely into the next section that will address how models of motor control can be used in the diagnosis and treatment of LBP. Finally, the last section will deal with the issue of model verification and validity. This issue is important since modelling accuracy is critical for obtaining useful insight into the behavior of the system being studied. This chapter is not intended to be a critical review of the literature, but instead intended to capture some of the discussion raised during the 2009 Spinal Control Symposium, with some elaboration on certain issues. Readers interested in more details are referred to the cited publications.

Optimisation of indoor environmental quality and energy consumption within office buildings

This research investigated airborne particle characteristics and their dynamics inside and around the envelope of mechanically ventilated office buildings, together with building thermal conditions and energy consumption. Based on these, a comprehensive model was developed to facilitate the optimisation of building heating, ventilation and air conditioning systems, in order to protect the health of their occupants and minimise the energy requirements of these buildings.

Particle Swarm algorithm with Fuzzy decision making for a multi-objective economic and environmental optimization of design of a thermal system

Multi-Objective optimization for designing of a benchmark cogeneration system known as CGAM cogeneration system has been performed. In optimization approach, the thermoeconomic and Environmental aspects have been considered, simultaneously. The environmental objective function has been defined and expressed in cost terms. One of the most suitable optimization techniques developed using a particular class of search algorithms known as; Multi-Objective Particle Swarm Optimization (MOPSO) algorithm has been used here. This approach has been applied to find the set of Pareto optimal solutions with respect to the aforementioned objective functions. An example of fuzzy decision-making with the aid of Bellman-Zadeh approach has been presented and a final optimal solution has been introduced.

The international regulation of persons displaced by climate change

It is certain that there will be changes in environmental conditions across the globe as a result of climate change. Such changes will require the building of biological, human and infrastructure resilience. In some instances, the building of such resilience will be insufficient to deal with extreme changes in environmental conditions and legal frameworks will be required to provide recognition and support for people relocating as a result of environmental change. International legal frameworks do not currently recognise or assist people displaced as a result of environmental factors. The objective of this chapter is to examine the areas of international law relevant to displacement arising from environmental factors, consider some of the proposed climate displacement instruments and suggest the most suitable international institution to host a program addressing climate displacement. In order to determine the most appropriate institution to address and regulate climate displacement, it is imperative to consider issues of governance. This paper seeks to examine this issue and determine whether it is preferable to place climate displacement programs into existing international legal frameworks, or whether it is necessary to regulate this area in an entirely new institution specifically designed to deal with the complex and cross-cutting issues surrounding the topic...