ORCID Profile
0000-0003-0115-0564
Current Organisation
Victoria University
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Publisher: Informa UK Limited
Date: 12-10-2016
DOI: 10.1080/02640414.2016.1240879
Abstract: This study investigated the evolution of game-play manifested via team performance indicator characteristics in the Australian Football League (AFL) from the 2001 to 2015 seasons. The mean values for 18 performance indicators were collated for every AFL team over 15-seasons. A multivariate analysis was used to uncover temporal trends in the dataset. Compared to the 2004 season, the 2005 to 2010 seasons were characterised by large growth in the counts of handballs (d = 0.83 90% CI = 0.22-1.43), disposals (d = 1.24 90% CI = 0.59-1.87), uncontested possessions (d = 1.37 90% CI = 0.71-2.01), clangers (d = 2.14 90% CI = 1.39-2.86) and marks (d = 1.43 90% CI = 0.76-2.07). Contrastingly, the effective disposal percentage declined rapidly during the same period. The number of inside 50 m counts remained stable throughout the 15-season period. The ordination plot of league-wide performance indicator characteristics illustrated a distinct cluster from the 2001 to 2004 seasons, an abrupt shift from the 2005 to 2009 seasons, and an emergent (re)stabilisation from the 2010 to 2015 seasons. The results demonstrate the synchronous league-wide evolution of game-play in the AFL from the 2001 to 2015 seasons. Amongst other constituents, this evolution likely reflects the introduction of modernised coaching strategies, rule changes and changing perceptions of rule interpretations.
Publisher: CSIRO Publishing
Date: 2014
DOI: 10.1071/MF13126
Abstract: Herbivorous waterfowl such as black swans are significant grazers in temperate waterbodies their abundance, distribution and grazing rates vary over seasonal cycles. The present study examined spatial and temporal variation in the abundance and grazing rates of black swans in the Lower Swan River estuary, Western Australia, using visual surveys over 1 year (2009), and potential drivers of this variation, food sources and disturbance factors were assessed. We predicted that swan abundance and grazing pressure would be greater in summer and autumn when seasonal wetlands dry and the abundance of food sources would positively influence their distribution, whereas the level of disturbance would have a negative effect. Plant–grazer interactions are dynamic and complex the present study revealed new findings on the seasonality of this relationship, where swan abundance but not grazing pressure varied over an annual cycle. Maximum swan abundance occurred in autumn (185) with minima in spring (53) but the swan grazing pressure did not vary between seasons, ranging from 6% to 25% of seagrass production consumed. Swan abundance was a function of season and the cover of seagrass. Key hot spots for swan abundance were identified where management efforts could be targeted by minimising human disturbances and protecting seagrass.
Publisher: MDPI AG
Date: 20-03-2018
DOI: 10.3390/LAND7010039
Publisher: Wiley
Date: 27-04-2010
Publisher: Wiley
Date: 04-2010
Publisher: Springer Science and Business Media LLC
Date: 24-08-2018
DOI: 10.1007/S40279-017-0775-2
Abstract: Learning transfer is defined as an in idual's capability to apply prior learnt perceptual, motor, or conceptual skills to a novel task or performance environment. In the sport sciences, learning transfers have been investigated from an athlete-specific perspective. However, sport scientists should also consider the benefits of cross-disciplinary learning to aid critical thinking and metacognitive skill gained through the interaction with similar quantitative scientific disciplines. Using team sports performance analysis as an ex le, this study aimed to demonstrate the utility of a common analytical technique in ecology in the sports sciences, namely, nonmetric multidimensional scaling. To achieve this aim, three novel research ex les using this technique are presented, each of which enables the analysis and visualization of athlete (organism), team (aggregation of organisms), and competition (ecosystem) behaviors. The first ex le reveals the technical behaviors of Australian Football League Brownlow medalists from the 2001 to 2016 seasons. The second ex le delineates dissimilarity in higher and lower ranked National Rugby League teams within the 2016 season. Lastly, the third ex le shows the evolution of game play in the basketball tournaments between the 2004 and 2016 Olympic Games. In addition to the novel findings of each ex le, the collective results demonstrate that, by embracing cross-disciplinary learning and drawing upon an analytical technique common to ecology, novel solutions to pertinent research questions within sports performance analysis could be addressed in a practically meaningful way. Cross-disciplinary learning may subsequently assist sport scientists in the analysis and visualization of multivariate datasets.
Publisher: Public Library of Science (PLoS)
Date: 12-10-2011
Publisher: Elsevier BV
Date: 10-2011
Publisher: CSIRO Publishing
Date: 2015
DOI: 10.1071/WF14115
Abstract: Fire plays a strong role in structuring fauna communities and the habitat available to them in fire-prone regions. Human-mediated increases in fire frequency and intensity threaten many animal species and understanding how these species respond to fire history and its associated effect on vegetation is essential to effective bio ersity management. We used a shrubland mammal and reptile community in semiarid south-western Australia as a model to investigate interactions between fire history, habitat structure and fauna habitat use. Of the 15 species analysed, five were most abundant in recently burnt habitat (8–13 years since last fire), four were most abundant in long unburnt areas (25–50 years) and six showed no response to fire history. Fauna responses to fire history were ergent both within and across taxonomic groups. Fire management that homogenises large areas of habitat through either fire exclusion or frequent burning may threaten species due to these erse requirements, so careful management of fire may be needed to maximise habitat suitability across the landscape. When establishing fire management plans, we recommend that land managers exercise caution in adopting species-specific information from different locations and broad vegetation types. Information on animal responses to fire is best gained through experimental and adaptive management approaches at the local level.
Publisher: Elsevier BV
Date: 04-2018
DOI: 10.1016/J.JSAMS.2017.06.014
Abstract: Analysing the dissimilarity of seasonal and team profiles within elite sport may reveal the evolutionary dynamics of game-play, while highlighting the similarity of in idual team profiles. This study analysed seasonal and team dissimilarity within the National Rugby League (NRL) between the 2005 to 2016 seasons. Longitudinal. Total seasonal values for 15 performance indicators were collected for every NRL team over the analysed period (n=190 observations). Non-metric multidimensional scaling was used to reveal seasonal and team dissimilarity. Compared to the 2005 to 2011 seasons, the 2012 to 2016 seasons were in a state of flux, with a relative dissimilarity in the positioning of team profiles on the ordination surface. There was an abrupt change in performance indicator characteristics following the 2012 season, with the 2014 season reflecting a large increase in the total count of 'all run metres' (d=1.21 90% CI=0.56-1.83), 'kick return metres' (d=2.99 90% CI=2.12-3.84) and decrease in 'missed tackles' (d=-2.43 90% CI=-3.19 to -1.64) and 'tackle breaks' (d=-2.41 90% CI=-3.17 to -1.62). Interpretation of team ordination plots showed that certain teams evolved in (dis)similar ways over the analysed period. It appears that NRL match-types evolved following the 2012 season and are in a current state of flux. The modification of coaching tactics and rule changes may have contributed to these observations. Coaches could use these results when designing prospective game strategies in the NRL.
Publisher: Elsevier BV
Date: 05-2017
DOI: 10.1016/J.TREE.2017.02.009
Abstract: Given the serious limitations of production-oriented frameworks, we offer here a new conceptual framework for how to analyze the nexus of food security and bio ersity conservation. We introduce four archetypes of social-ecological system states corresponding to win-win (e.g., agroecology), win-lose (e.g., intensive agriculture), lose-win (e.g., fortress conservation), and lose-lose (e.g., degraded landscapes) outcomes for food security and bio ersity conservation. Each archetype is shaped by characteristic external drivers, exhibits characteristic internal social-ecological features, and has characteristic feedbacks that maintain it. This framework shifts the emphasis from focusing on production only to considering social-ecological dynamics, and enables comparison among landscapes. Moreover, examining drivers and feedbacks facilitates the analysis of possible transitions between system states (e.g., from a lose-lose outcome to a more preferred outcome).
Publisher: Informa UK Limited
Date: 25-03-2016
DOI: 10.1080/02640414.2016.1164334
Abstract: This study investigated the extent to which position in the Australian Football League (AFL) national draft is associated with in idual game performance metrics. Physical/technical skill performance metrics were collated from all participants in the 2014 national under 18 (U18) ch ionships (18 games) drafted into the AFL (n = 65 17.8 ± 0.5 y) 232 observations. Players were sub ided into draft position (ranked 1-65) and then draft round (1-4). Here, earlier draft selection (i.e., closer to 1) reflects a more desirable player. Microtechnology and a commercial provider facilitated the quantification of in idual game performance metrics (n = 16). Linear mixed models were fitted to data, modelling the extent to which draft position was associated with these metrics. Draft position in the first/second round was negatively associated with "contested possessions" and "contested marks", respectively. Physical performance metrics were positively associated with draft position in these rounds. Correlations weakened for the third/fourth rounds. Contested possessions/marks were associated with an earlier draft selection. Physical performance metrics were associated with a later draft selection. Recruiters change the type of U18 player they draft as the selection pool reduces. juniors with contested skill appear prioritised.
Publisher: Elsevier BV
Date: 11-2018
Publisher: Springer Science and Business Media LLC
Date: 06-10-2015
Publisher: Informa UK Limited
Date: 12-2036
Publisher: Wiley
Date: 10-2007
Publisher: CSIRO Publishing
Date: 2011
DOI: 10.1071/RJ10043
Abstract: The pastoral industry of the Northern Territory faces a suite of environmental and economic challenges associated with, inter alia, export markets, costs of production, climate change, change in government policies, and potential cattle diseases. A participatory planning process was adopted by the industry’s principal representative body, the Northern Territory Cattlemen’s Association to explore the complexity and extent of possible impacts on the industry, and to initiate conversations about anticipating potential futures. The process was facilitated by a system dynamics model, named the Pastoral Properties Future Simulator (PPFS). The PPFS combined a systems modelling approach of the pastoral industry with scenario explorations to gauge the likely impacts on, and possible industry adaptations to, beef price variation, productivity improvements, ersification of land use, climate change, climate policy and employment. The PPFS was used as an interactive tool during stakeholder workshops and results underpinned discussions about impacts and adaptation strategies. Land use and enterprise ersification emerged as key strategies for building enterprise and industry resilience, but with regionally erging emphasis. The research illustrates the benefits of applied systems dynamic modelling for participatory strategic planning in the face of an uncertain future. The PPFS helped industry members and stakeholders understand the complexity of drivers affecting the industry’s future, risk profiles, possible adaptation strategies and trade-offs.
Publisher: Ubiquity Press, Ltd.
Date: 03-05-2019
DOI: 10.18352/IJC.938
Publisher: Wiley
Date: 02-02-2015
DOI: 10.1111/JBI.12469
Publisher: Springer Science and Business Media LLC
Date: 16-07-2018
Publisher: Elsevier BV
Date: 09-2017
Publisher: Springer Science and Business Media LLC
Date: 13-04-2016
DOI: 10.1007/S00421-016-3352-8
Abstract: This study examined the relative influence of anatomical and neuromuscular variables on maximal isometric and concentric knee extensor torque and provided a comparative dataset for healthy young males. Quadriceps cross-sectional area (CSA) and fascicle length (l f) and angle (θ f) from the four quadriceps components agonist (EMG:M) and antagonist muscle activity, and percent voluntary activation (%VA) patellar tendon moment arm distance (MA) and maximal voluntary isometric and concentric (60° s(-1)) torques, were measured in 56 men. Linear regression models predicting maximum torque were ranked using Akaike's Information Criterion (AICc), and Pearson's correlation coefficients assessed relationships between variables. The best-fit models explained up to 72 % of the variance in maximal voluntary knee extension torque. The combination of 'CSA + θ f + EMG:M + %VA' best predicted maximum isometric torque (R (2) = 72 %, AICc weight = 0.38) and 'CSA + θ f + MA' (R (2) = 65 %, AICc weight = 0.21) best predicted maximum concentric torque. Proximal quadriceps CSA was included in all models rather than the traditionally used mid-muscle CSA. Fascicle angle appeared consistently in all models despite its weak correlation with maximum torque in isolation, emphasising the importance of examining interactions among variables. While muscle activity was important for torque prediction in both contraction modes, MA only strongly influenced maximal concentric torque. These models identify the main sources of inter-in idual differences strongly influencing maximal knee extension torque production in healthy men. The comparative dataset allows the identification of potential variables to target (i.e. weaknesses) in in iduals.
Publisher: Wiley
Date: 04-2006
Publisher: Wiley
Date: 15-08-2008
Publisher: Springer Science and Business Media LLC
Date: 14-07-2017
Publisher: Elsevier BV
Date: 05-2014
Publisher: Wiley
Date: 2015
DOI: 10.1890/13-2365.1.SM
Publisher: Public Library of Science (PLoS)
Date: 17-06-2020
Publisher: Springer Science and Business Media LLC
Date: 03-12-2010
Publisher: Wiley
Date: 12-10-2017
DOI: 10.1002/FEE.1632
Publisher: Informa UK Limited
Date: 26-01-2017
DOI: 10.1080/02640414.2017.1282621
Abstract: In team sport, classifying playing position based on a players' expressed skill sets can provide a guide to talent identification by enabling the recognition of performance attributes relative to playing position. Here, elite junior Australian football players were a priori classified into 1 of 4 common playing positions forward, midfield, defence, and ruck. Three analysis approaches were used to assess the extent to which 12 in-game skill performance indicators could classify playing position. These were a linear discriminant analysis (LDA), random forest, and a PART decision list. The LDA produced classification accuracy of 56.8%, with class errors ranging from 19.6% (midfielders) to 75.0% (ruck). The random forest model performed at a slightly worse level (51.62%), with class errors ranging from 27.8% (midfielders) to 100% (ruck). The decision list revealed 6 rules capable of classifying playing position at accuracy of 70.1%, with class errors ranging from 14.4% (midfielders) to 100% (ruck). Although the PART decision list produced the greatest relative classification accuracy, the technical skill indicators reported were generally unable to accurately classify players according to their position using the 3 analysis approaches. This player homogeneity may complicate recruitment by constraining talent recruiter's ability to objectively recognise distinctive positional attributes.
No related grants have been discovered for Neil Collier.