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A forgotten brouhaha: lessons in authenticity and authority

  • Authors: Clark, Ian
  • Date: 2017
  • Type: Text , Book chapter
  • Relation: Language Land and Song: Studies in honour of Luise Hercus Chapter 21 p. 304-317
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  • Description: 1. Introduction In July 1943, noted Victorian author and travel writer Eileen Finlay (1878- 1950) returned to the tourist resort town of Healesville to enjoy ‘a respite from her literary labours’ (Healesville Guardian 24/7/1943). Staying at Golf House, her respite did not prevent her from appearing at the Healesville Library to promote her publications and meet her fans. Eileen Finlay was born Mary Ellen Moroney in Maffra, Gippsland, in 1878, and lived for a time in Colac where her father was appointed shire engineer in 1882 (Barraclough 1995: 56). In 1889, two years after the death of her father, her family moved to Lilydale where her connection with Healesville commenced. In 1899 she married architect, Alexander Kennedy Smith Finlay, and settled in Melbourne. On 29th December 1921 her husband was one of three passengers who drowned when a launch capsized en route to Lake Tyers Aboriginal station. Many of the survivors, including Eileen Finlay and her son, owed their survival to two Aboriginal women from the Aboriginal settlement who rescued them in a rowing boat – once on shore, men and women from the settlement assisted them by lighting a fire to dry their clothes . "From introduction"

A formal description of ontology change in OWL

  • Authors: Avery, John , Yearwood, John
  • Date: 2005
  • Type: Text , Conference paper
  • Relation: Paper presented at the Third International Conference on Information Technology and Applications, ICITA 2005, Sydney : 4th - 7th July, 2005
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  • Description: There are three main activities involved in managing ontology change. Firstly we need to identify changes, secondly describe these identified changes, and finally describe and handle the ramifications of the changes. In previous work we have presented a language (DOWL) for describing ontology change and in this paper we demonstrate how changes described in this language can be represented in the RDF abstract syntax which enables us to describe the ramifications of a change in a formal manner. This formalism can provide the basis for an automated ontology change management system.
  • Description: E1
  • Description: 2003001448

A formula for multiple classifiers in data mining based on Brandt semigroups

  • Authors: Kelarev, Andrei , Yearwood, John , Mammadov, Musa
  • Date: 2009
  • Type: Text , Journal article
  • Relation: Semigroup Forum Vol. 78, no. 2 (2009), p. 293-309
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  • Description: A general approach to designing multiple classifiers represents them as a combination of several binary classifiers in order to enable correction of classification errors and increase reliability. This method is explained, for example, in Witten and Frank (Data Mining: Practical Machine Learning Tools and Techniques, 2005, Sect. 7.5). The aim of this paper is to investigate representations of this sort based on Brandt semigroups. We give a formula for the maximum number of errors of binary classifiers, which can be corrected by a multiple classifier of this type. Examples show that our formula does not carry over to larger classes of semigroups. © 2008 Springer Science+Business Media, LLC.

A framework and mathematical modeling for the vehicular delay tolerant network routing

  • Authors: Nasir, Mostofa , Noor, Rafidah , Iftikhar, Mohsin , Imran, Muhammad , Abdul Wahab, Ainuddin , Jabbarpour, Mohammad , Khokhar, R.
  • Date: 2016
  • Type: Text , Journal article
  • Relation: Mobile Information Systems Vol. 2016, no. (2016), p.
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  • Description: Vehicular ad hoc networks (VANETs) are getting growing interest as they are expected to play crucial role in making safer, smarter, and more efficient transportation networks. Due to unique characteristics such as sparse topology and intermittent connectivity, Delay Tolerant Network (DTN) routing in VANET becomes an inherent choice and is challenging. However, most of the existing DTN protocols do not accurately discover potential neighbors and, hence, appropriate intermediate nodes for packet transmission. Moreover, these protocols cause unnecessary overhead due to excessive beacon messages. To cope with these challenges, this paper presents a novel framework and an Adaptive Geographical DTN Routing (AGDR) for vehicular DTNs. AGDR exploits node position, current direction, speed, and the predicted direction to carefully select an appropriate intermediate node. Direction indicator light is employed to accurately predict the vehicle future direction so that the forwarding node can relay packets to the desired destination. Simulation experiments confirm the performance supremacy of AGDR compared to contemporary schemes in terms of packet delivery ratio, overhead, and end-to-end delay. Simulation results demonstrate that AGDR improves the packet delivery ratio (5-7%), reduces the overhead (1-5%), and decreases the delay (up to 0.02 ms). Therefore, AGDR improves route stability by reducing the frequency of route failures. © 2016 Mostofa Kamal Nasir et al.

A framework for adoption decision process for blockchain technology - an institutional and actor-network theory perspective

  • Authors: Kaushik, Shipra
  • Date: 2023
  • Type: Text , Thesis , PhD
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  • Description: Blockchain has been the most promising technology of the recent times. Originated from bitcoin, a blockchain technology use case has now been explored across almost every industry. It provides several novel technological features like transparency, disintermediation, immutability, trust among stakeholders and decentralisation. Despite so many advantages, the overview of challenges around blockchain adoption has revealed that there is a scarcity of understanding about the process of blockchain adoption decisions. Several organisations have failed to take advantage of blockchain's potential due to uneven adoption across industries and regions. Whether to use blockchain in their business is a difficult decision for many organisations. To fill this gap, this study examined the adoption decision process of blockchain in organisations. Firstly, there is a need of framework that details the steps in the blockchain adoption decision process, including tasks involved and the rationales for the actions taken. This understanding will help the potential adopters to make a successful decision to adopt blockchain technology for their organisation. Secondly, very few studies have examined the factors that influence the stakeholders’ interactions and dynamics while making technology adoption decisions, especially in blockchain based applications. When systems are designed to protect privacy or obscure actors intentionally, such as blockchain platforms, it can be challenging to identify them and understand their roles. Blockchain being an inter-organisational technology, primarily depends on the involvement of internal and external stakeholders. Thus, this study explored the actors involved in the adoption decision process and their roles while aligning other actors towards blockchain adoption. Thirdly, as these actors act as stakeholders while making decision, they act as rational individuals. Therefore, this study also explored their rationales while they are involved in technology adoption decisions to have an effective outcome of the decision-making process. To achieve these objectives, this study utilises Innovation Translation approach derived from Actor-Network Theory and Institutional Theory for technology adoption. The study has utilised a three- round qualitative Delphi method through semi structured interviews to gather views from a panel of experts from organisations who have experienced the blockchain adoption decision process for their business. The targeted experts for this study were categorized as Adopters, Non-Adopters (dropped the idea) and Consultants using selective purposive sampling. The first two rounds were exploratory in nature, and to extend the validity of the responses gathered, the final round was a confirmatory round of interviews. For this study, the saturation was seen with ten experts in the panel for round 2 and round 3. For the pilot study eight participants agreed to be part of the panel. The interviews were recorded, transcribed and analysed using thematic analysis in the NVivo tool. The analysis confirmed the use of Innovation Translation approach in literature for understanding the actors and their roles, by giving a rich interpretation of the results in understanding the crucial interactions among the actors and drawing useful findings. The interpretation also provided an insight into the institutionalisation of blockchain by exploring the institutional pressures. The study has confirmed the existence of many pressures that existed for other technologies, remain for blockchain adoption too like hype, curiosity, competitiveness, business value, cost and time but has explored new institutional pressures with blockchain adoption decision process like understanding among consultants and adopting organisations, and process participations needs. Utilising Institutional Theory for blockchain technology has also revealed a fourth pressure that is exerted by the technology itself like maturity, consensus, network dominancy and technological features that are primarily seen as blockchain being an inter-organisational and a new technology that has not been accepted widely in organisations. Achieving the objectives of this study, the study has proposed a consolidated framework for the blockchain adoption decision process from an exploratory view. The first of its kind in literature, that elaborates on the stages involved in blockchain adoption decision process, identify the actors and explains their role at each stage and how those roles evolve and also provides an insight into the institutionalisation of blockchain by exploring the pressures. These gaps, objectives, method, analysis, and contributions are further discussed in this thesis comprehensively.
  • Description: Doctor of Philosophy

A framework for cardiac arrhythmia detection from IoT-based ECGs

  • Authors: He, Jinyuan , Rong, Jia , Sun, Le , Wang, Hua , Zhang, Yanchun , Ma, Jiangang
  • Date: 2020
  • Type: Text , Journal article
  • Relation: World Wide Web Vol. 23, no. 5 (2020), p. 2835-2850
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  • Description: Cardiac arrhythmia has been identified as a type of cardiovascular diseases (CVDs) that causes approximately 12% of all deaths globally. The development of Internet-of-Things has spawned novel ways for heart monitoring but also presented new challenges for manual arrhythmia detection. An automated method is highly demanded to provide support for physicians. Current attempts for automatic arrhythmia detection can roughly be divided as feature-engineering based and deep-learning based methods. Most of the feature-engineering based methods are suffering from adopting single classifier and use fixed features for classifying all five types of heartbeats. This introduces difficulties in identification of the problematic heartbeats and limits the overall classification performance. The deep-learning based methods are usually not evaluated in a realistic manner and report overoptimistic results which may hide potential limitations of the models. Moreover, the lack of consideration of frequency patterns and the heart rhythms can also limit the model performance. To fill in the gaps, we propose a framework for arrhythmia detection from IoT-based ECGs. The framework consists of two modules: a data cleaning module and a heartbeat classification module. Specifically, we propose two solutions for the heartbeat classification task, namely Dynamic Heartbeat Classification with Adjusted Features (DHCAF) and Multi-channel Heartbeat Convolution Neural Network (MCHCNN). DHCAF is a feature-engineering based approach, in which we introduce dynamic ensemble selection (DES) technique and develop a result regulator to improve classification performance. MCHCNN is deep-learning based solution that performs multi-channel convolutions to capture both temporal and frequency patterns from heartbeat to assist the classification. We evaluate the proposed framework with DHCAF and with MCHCNN on the well-known MIT-BIH-AR database, respectively. The results reported in this paper have proven the effectiveness of our framework. © 2020, Springer Science+Business Media, LLC, part of Springer Nature.

A framework for ERP post-implementation amendments : A literature analysis

  • Authors: Oseni, Taiwo , Foster, Susan , Rahim, Mahbubur , Smith, Stephen Patrick
  • Date: 2017
  • Type: Text , Journal article
  • Relation: Australasian Journal of Information Systems Vol. 21, no. (2017), p.
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  • Description: Post-implementation amendments to ERP systems (ERP-PIA) are of importance for advancing ERP research, but more importantly essential if ERP systems are to be used as a strategic and competitive business tool. For ease of clarity, we have adopted the term “amendments” to encompass the main forms of post implementation activities: maintenance, enhancements and upgrades. The term “amendments” is used to counteract one of the major findings from this research - the inconsistency of terms used by many authors to explain post implementation activities. This paper presents a review of the ERP post-implementation amendment literature in order to provide answers to two specific questions: first, what is the current state of research in the field of ERP-PIA; and second, what are the future research directions that need to be explored in the field of ERP-PIA. From the review, we develop a framework to identify: (a) major themes concerning ERP post-implementation amendments, (b) inherent gaps in the post-implementation amendments literature, and (c) specific areas that require further research attention influencing the uptake of amendments. Suggestions on empirical evaluation of research directions and their relevance in the extension of existing literature is presented.

A framework for monitoring progress and planning teaching towards the effective use of computer algebra systems

  • Authors: Pierce, Robyn , Stacey, Kaye
  • Date: 2004
  • Type: Text , Journal article
  • Relation: International Journal of Computers for Mathematical Learning Vol. 9, no. 1 (2004), p. 59-93
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  • Description: This article suggests a framework to organise a cluster of variables that are associated with students' effective use of computer algebra systems (CAS) in mathematics learning. Based on a review of the literature and from the authors' own teaching experience, the framework identifies the main characteristics of students' interactions with CAS technology and how these may be used to monitor students' developing use of CAS; from this, the framework may be used to plan teaching in order to gain greater benefit from the availability of CAS. Four case studies describing students' development over a semester are reported. These demonstrate a variety of combinations of technical competencies and personal attributes. They indicate the importance of both the technical and personal aspects but suggest that negative attitudes rather than technical difficulties can limit the effective use of CAS. Finally practical suggestions are given for teaching strategies which may promote effective use of CAS.
  • Description: C1
  • Description: 2003000923

A framework for sustainability performance assessment for manufacturing processes

  • Authors: Singh, Karmjit
  • Date: 2019
  • Type: Text , Thesis , PhD
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  • Description: Sustainable manufacturing methods make it possible to develop products in ways which minimize negative environmental impacts, conserve energy and save natural resources whilst being economically sound. The concepts of sustainability in manufacturing being are still fairly broad, in scope, and need to be more focused and firmly established at the process, machine or factory levels. This project proposes a structure for manufacturing with a main objective to develop a sustainability framework which encompasses various production processes. Structured information models for the seamless flow of information across the design and manufacturing domains, for selected manufacturing processes, are defined. The thesis work identifies key performance indicators (KPIs) for the assessment of manufacturing sustainability and performs analysis of selected unit manufacturing processes and their sub-processes with the aim of proposing a methodology for determining science-based measurements of the manufacturing processes affecting these KPIs. The theoretical foundations established are then used to develop a model that could evaluate sustainability of selected manufacturing processes and their respective process plans providing a basis for inter-process comparison and selection of the most sustainable process plan. The proposed framework is presented in form of a manufacturing planning computer-based package which is designed to to consider different influencing factors such as product information, part geometry, material related physical and processing properties and the manufacturing equipment operating data. The thesis presents a number of case studies which have been published in international journals. The case studies present estimates of the manufacturing sustainability KPIs for a number of production methods. These estimates have been verified with available shop floor data. The work in the thesis makes it possible to establish manufacturing industry equipped to deal the challenges of the future when sustainability will be the major factor up on which the quality of success will be determined.
  • Description: Doctor of Philosophy

A framework for sustainable ecotourism : Application to Costa Rica

  • Authors: Courvisanos, Jerry , Jain, Ameeta
  • Date: 2006
  • Type: Text , Journal article
  • Relation: Tourism and hospitality planning and development Vol. 3, no. 2 (2006), p. 131-142
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  • Description: Costa Rica is a small Central American nation that has gained an international reputation as a leader in environmental conservation. This has formed the base for its highly successful and lucrative small-scale ecotourism industry. However, there are threats from high rates of deforestation and expanding large-scale tourism that is trading on strong environmental credentials, so it is appropriate to conduct this policy analysis on such a significant ecotourism area. The paper develops an ecologically sustainable economic framework, drawing on the works of Adolph Lowe (1893-1995) and Michal Kalecki (1899-1970), to examine the Costa Rican experience and then analyse lessons for general policy development of any ecotourism area. The analysis is conducted from a political economy (and not a tourism management) perspective on the trade-offs between small-scale and large-scale ecotourism.
  • Description: C1
  • Description: 2003001760

A fully automated CAD system using multi-category feature selection with restricted recombination

  • Authors: Ghosh, Ranadhir , Ghosh, Moumita , Yearwood, John , Mukherjee, Subhasis
  • Date: 2007
  • Type: Text , Conference paper
  • Relation: Paper presented at 6th IEEE/ACIS International Conference on Computer and Information Science, ICIS 2007, Melbourne, Victoria : 11th-13th July 2007 p. 106-111
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  • Description: In pattern recognition problems features plays an important role for classification results. It is very important which features are used and how many features are used for the classification process. Most of the real life classification problem uses different category of features. It is desirable to find the optimal combination of features that improves the performance of the classifier. There exists different selection framework that selects the features. Mostly do not incorporate the impact of one category of features on another. Even if they incorporate, they produce conflict between the categories. In this paper we proposed a restricted crossover selection framework which incorporate the impact of different categories on each other, as well as it restricts the search within the category which searching in the global region of the search space. The results obtained by the proposed framework are promising.
  • Description: 2003005429

A fully automated self-help biopsychosocial transdiagnostic digital intervention to reduce anxiety and/or depression and improve emotional regulation and well-being: pre-follow-up single-arm feasibility trial

  • Authors: Klein, Britt , Nguyen, Huy , McLaren, Suzanne , Andrews, Brooke , Shandley, Kerrie
  • Date: 2023
  • Type: Text , Journal article
  • Relation: JMIR Formative Research Vol. 7, no. (2023), p.
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  • Description: Background: Anxiety disorders and depression are prevalent disorders with high comorbidity, leading to greater chronicity and severity of symptoms. Given the accessibility to treatment issues, more evaluation is needed to assess the potential benefits of fully automated self-help transdiagnostic digital interventions. Innovating beyond the current transdiagnostic one-size-fits-all shared mechanistic approach may also lead to further improvements. Objective: The primary objective of this study was to explore the preliminary effectiveness and acceptability of a new fully automated self-help biopsychosocial transdiagnostic digital intervention (Life Flex) aimed at treating anxiety and/or depression, as well as improving emotional regulation; emotional, social, and psychological well-being; optimism; and health-related quality of life. Methods: This was a real-world pre-during-post-follow-up feasibility trial design evaluation of Life Flex. Participants were assessed at the preintervention time point (week 0), during intervention (weeks 3 and 5), at the postintervention time point (week 8), and at 1- and 3-month follow-ups (weeks 12 and 20, respectively). Results: The results provided early support for the Life Flex program in reducing anxiety (Generalized Anxiety Disorder 7), depression (Patient Health Questionnaire 9), psychological distress (Kessler 6), and emotional dysregulation (Difficulties in Emotional Regulation 36) and increasing emotional, social, and psychological well-being (Mental Health Continuum-Short Form); optimism (Revised Life Orientation Test); and health-related quality of life (EQ-5D-3L Utility Index and Health Rating; all false discovery rate [FDR] < .001). Large within-group treatment effect sizes (range |d|=0.82 to 1.33) were found for most variables from pre- to postintervention assessments and at the 1- and 3-month follow-up. The exceptions were medium treatment effect sizes for EQ-5D-3L Utility Index (range Cohen d=

A fuzzy derivative and dynamical systems

  • Authors: Mammadov, Musa
  • Date: 2002
  • Type: Text , Thesis , PhD
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  • Description: "The purpose of this thesis is to develop and study new techniques for the mathematical modeling of dynamical systems and to apply these techniques to data classification problems. This approach is based on the notion of a fuzzy derivative. The main aim of the thesis is to examine this notion in data classification."
  • Description: Doctor of Philosophy

A fuzzy-neural approach for interpretation and fusion of colour and texture features for CBIR systems

  • Authors: Verma, Brijesh , Kulkarni, Siddhivinayak
  • Date: 2004
  • Type: Text , Journal article
  • Relation: Journal of Applied Soft Computing Vol. 5, no. 1 (2004), p. 119-130
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  • Description: This paper presents a fuzzy-neural approach for interpretation and fusion of colour and texture features for CBIR systems. The presented approach uses fuzzy logic to interpret queries expressed in natural language such as mostly red, many green, few red for colour feature. Tamura feature is used to represent the texture of an image in the database. A term set on each Tamura feature is generated using a fuzzy clustering algorithm to pose a query in terms of natural language. The query can be expressed as a logic combination of natural language terms and Tamura feature values. A fusion of multiple queries is incorporated into the proposed approach. The performance of the technique was evaluated on Brodatz texture benchmark database and it was noticed that there was a prominent increase in the confidence factor for the images. Fusion experiments were conducted using neurofuzzy, fuzzy AND and binary AND techniques. A comparative analysis showed that fuzzy-neural approach has significantly improved the performance of CBIR system.
  • Description: C1
  • Description: 2003002798

A gendered therapeutic learning landscape : responding creatively to a pandemic

  • Authors: Foley, Annette , Weadon, Helen , McDonough, Sharon , Taylor, Rachel
  • Date: 2022
  • Type: Text , Journal article
  • Relation: Australian Journal of Adult Learning Vol. 62, no. 1 (2022), p. 8-30
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  • Description: Crafting has occupied the hands and minds of women over many centuries providing vital connections with cultural skills and with community. While the COVID-19 pandemic has isolated women in their homes, it has also provided opportunities for women to reconnect to crafting through virtual spaces. This paper draws on a thematic analysis of a focus group interview examining the experiences of regional women participating in a crafting group and identifies the ways in which they used craft to support their wellbeing. Drawing on the concept of therapeutic landscapes, the paper highlights that connection in a virtual craft group supports lifelong learning and wellbeing, brings women together in support through a community of women’s practice and facilitates opportunities for producing meaningful and commemorative quilting projects This finding has implications for a society experiencing unprecedented levels of stress, mental illness and anxiety about the future. © 2022, Adult Learning Australia. All rights reserved.

A generalization of a theorem of Arrow, Barankin and Blackwell to a nonconvex case

  • Authors: Kasimbeyli, Nergiz , Kasimbeyli, Refail , Mammadov, Musa
  • Date: 2016
  • Type: Text , Journal article
  • Relation: Optimization Vol. 65, no. 5 (May 2016), p. 937-945
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  • Description: The paper presents a generalization of a known density theorem of Arrow, Barankin, and Blackwell for properly efficient points defined as support points of sets with respect to monotonically increasing sublinear functions. This result is shown to hold for nonconvex sets of a partially ordered reflexive Banach space.

A global optimisation approach to classification in medical diagnosis and prognosis

  • Authors: Bagirov, Adil , Rubinov, Alex , Yearwood, John , Stranieri, Andrew
  • Date: 2001
  • Type: Text , Conference paper
  • Relation: Paper presented at 34th Hawaii International Conference on System Sciences, HICSS-34, Maui, Hawaii, USA : 3rd-6th January 2001
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  • Description: In this paper global optimisation-based techniques are studied in order to increase the accuracy of medical diagnosis and prognosis with FNA image data from the Wisconsin Diagnostic and Prognostic Breast Cancer databases. First we discuss the problem of determining the most informative features for the classification of cancerous cases in the databases under consideration. Then we apply a technique based on convex and global optimisation to breast cancer diagnosis. It allows the classification of benign cases and malignant ones and the subsequent diagnosis of patients with very high accuracy. The third application of this technique is a method that calculates centres of clusters to predict when breast cancer is likely to recur in patients for which cancer has been removed. The technique achieves higher accuracy with these databases than reported elsewhere in the literature.
  • Description: 2003003950

A global perspective on wetland salinization : Ecological consequences of a growing threat to freshwater wetlands

  • Authors: Herbert, Ellen , Boon, Paul , Burgin, Amy , Neubauer, Scott , Franklin, Rima , Ardon, Marcelo , Hopfensperger, Kristine , Lamers, Leon , Gell, Peter
  • Date: 2015
  • Type: Text , Journal article
  • Relation: Ecosphere Vol. 6, no. 10 (2015), p. 1-43
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  • Description: Salinization, a widespread threat to the structure and ecological functioning of inland and coastal wetlands, is currently occurring at an unprecedented rate and geographic scale. The causes of salinization are diverse and include alterations to freshwater flows, land-clearance, irrigation, disposal of wastewater effluent, sea level rise, storm surges, and applications of de-icing salts. Climate change and anthropogenic modifications to the hydrologic cycle are expected to further increase the extent and severity of wetland salinization. Salinization alters the fundamental physicochemical nature of the soil-water environment, increasing ionic concentrations and altering chemical equilibria and mineral solubility. Increased concentrations of solutes, especially sulfate, alter the biogeochemical cycling of major elements including carbon, nitrogen, phosphorus, sulfur, iron, and silica. The effects of salinization on wetland biogeochemistry typically include decreased inorganic nitrogen removal (with implications for water quality and climate regulation), decreased carbon storage (with implications for climate regulation and wetland accretion), and increased generation of toxic sulfides (with implications for nutrient cycling and the health/functioning of wetland biota). Indeed, increased salt and sulfide concentrations induce physiological stress in wetland biota and ultimately can result in large shifts in wetland communities and their associated ecosystem functions. The productivity and composition of freshwater species assemblages will be highly altered, and there is a high potential for the disruption of existing interspecific interactions. Although there is a wealth of information on how salinization impacts individual ecosystem components, relatively few studies have addressed the complex and often non-linear feedbacks that determine ecosystem-scale responses or considered how wetland salinization will affect landscape-level processes. Although the salinization of wetlands may be unavoidable in many cases, these systems may also prove to be a fertile testing ground for broader ecological theories including (but not limited to): investigations into alternative stable states and tipping points, trophic cascades, disturbance-recovery processes, and the role of historical events and landscape context in driving community response to disturbance. © 2015 Herbert et al.

A global review of the woody invasive alien species mimosa pigra (giant sensitive plant): Its biology and management implications

  • Authors: Welgama, Amali , Florentine, Singarayer , Roberts, Jason
  • Date: 2022
  • Type: Text , Journal article
  • Relation: Plants Vol. 11, no. 18 (2022), p. 2366
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  • Description: Populations of invasive alien plants create disruptive plant communities that are extremely adaptable, imposing severe ecological impacts on agriculture, biodiversity and human activities. To minimise these impacts, prevention and effective weed management strategies are urgently required, including the identification of satellite populations before they invade new areas. This is a critical element that allows weed management practices to become both successful and cost-effective. Mimosa pigra L. (Giant sensitive plant) is an invasive weed that has spread across various environments around the world and is considered one of the world’s top 100 most invasive plant species. Being adaptable to a wide range of soil types, in addition to its woody protective prickles and low palatability, M. pigra has quickly spread and established itself in a range of habitats. Current control methods of this species include biological, chemical and physical methods, together with attempts of integrated application. Reports suggest that integrated management appears to be the most effective means of controlling M. pigra since the use of any single method has not yet proved suitable. In this regard, this review synthesises and explores the available global literature and current research gaps relating to the biology, distribution, impacts and management of M. pigra. The contribution of this work will help guide land managers to design appropriate and sustainable management programs to control M. pigra.

A global-scale screening of non-native aquatic organisms to identify potentially invasive species under current and future climate conditions

  • Authors: Vilizzi, Lorenzo , Copp, Gordon , Hill, Jeffrey , Adamovich, Boris , Lloyd, Lance
  • Date: 2021
  • Type: Text , Journal article
  • Relation: Science of the Total Environment Vol. 788, no. (2021), p.
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  • Description: The threat posed by invasive non-native species worldwide requires a global approach to identify which introduced species are likely to pose an elevated risk of impact to native species and ecosystems. To inform policy, stakeholders and management decisions on global threats to aquatic ecosystems, 195 assessors representing 120 risk assessment areas across all six inhabited continents screened 819 non-native species from 15 groups of aquatic organisms (freshwater, brackish, marine plants and animals) using the Aquatic Species Invasiveness Screening Kit. This multi-lingual decision-support tool for the risk screening of aquatic organisms provides assessors with risk scores for a species under current and future climate change conditions that, following a statistically based calibration, permits the accurate classification of species into high-, medium- and low-risk categories under current and predicted climate conditions. The 1730 screenings undertaken encompassed wide geographical areas (regions, political entities, parts thereof, water bodies, river basins, lake drainage basins, and marine regions), which permitted thresholds to be identified for almost all aquatic organismal groups screened as well as for tropical, temperate and continental climate classes, and for tropical and temperate marine ecoregions. In total, 33 species were identified as posing a ‘very high risk’ of being or becoming invasive, and the scores of several of these species under current climate increased under future climate conditions, primarily due to their wide thermal tolerances. The risk thresholds determined for taxonomic groups and climate zones provide a basis against which area-specific or climate-based calibrated thresholds may be interpreted. In turn, the risk rankings help decision-makers identify which species require an immediate ‘rapid’ management action (e.g. eradication, control) to avoid or mitigate adverse impacts, which require a full risk assessment, and which are to be restricted or banned with regard to importation and/or sale as ornamental or aquarium/fishery enhancement. © 2021 The Authors. **Please note that there are multiple authors for this article therefore only the name of the first 5 including Federation University Australia affiliate “Lance Lloyd" is provided in this record**