ORCID Profile
0000-0002-7950-0790
Current Organisation
Queensland University of Technology
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In Research Link Australia (RLA), "Research Topics" refer to ANZSRC FOR and SEO codes. These topics are either sourced from ANZSRC FOR and SEO codes listed in researchers' related grants or generated by a large language model (LLM) based on their publications.
Landscape Ecology | Ecology | Environmental Management And Rehabilitation | Freshwater Ecology
Land and water management | Land and water management | Rehabilitation of degraded farmland |
Publisher: Springer Science and Business Media LLC
Date: 31-03-2006
Publisher: Springer Science and Business Media LLC
Date: 11-04-2006
Publisher: Springer Science and Business Media LLC
Date: 07-03-2001
Publisher: Springer Science and Business Media LLC
Date: 09-1995
DOI: 10.1007/BF02431259
Publisher: Wiley
Date: 30-09-2011
Publisher: Wiley
Date: 2006
DOI: 10.1002/ENV.738
Publisher: Wiley
Date: 2010
Publisher: Wiley
Date: 2000
DOI: 10.1002/(SICI)1526-4998(200005)56:5<463::AID-PS138>3.0.CO;2-I
Publisher: Wiley
Date: 12-2012
DOI: 10.1890/11-1792.1
Abstract: Catchment and riparian degradation has resulted in declining ecosystem health of streams worldwide. With restoration a priority in many regions, there is an increasing interest in the scale at which land use influences stream ecosystem health. Our goal was to use a substantial data set collected as part of a monitoring program (the Southeast Queensland, Australia, Ecological Health Monitoring Program data set, collected at 116 sites over six years) to identify the spatial scale of land use, or the combination of spatial scales, that most strongly influences overall ecosystem health. In addition, we aimed to determine whether the most influential scale differed for different aspects of ecosystem health. We used linear-mixed models and a Bayesian model-averaging approach to generate models for the overall aggregated ecosystem health score and for each of the five component indicators (fish, macroinvertebrates, water quality, nutrients, and ecosystem processes) that make up the score. Dense forest close to the survey site, mid-dense forest in the hydrologically active near-stream areas of the catchment, urbanization in the riparian buffer, and tree cover at the reach scale were all significant in explaining ecosystem health, suggesting an overriding influence of forest cover, particularly close to the stream. Season and antecedent rainfall were also important explanatory variables, with some land-use variables showing significant seasonal interactions. There were also differential influences of land use for each of the component indicators. Our approach is useful given that restoring general ecosystem health is the focus of many stream restoration projects it allowed us to predict the scale and catchment position of restoration that would result in the greatest improvement of ecosystem health in the regions streams and rivers. The models we generated suggested that good ecosystem health can be maintained in catchments where 80% of hydrologically active areas in close proximity to the stream have mid-dense forest cover and moderate health can be obtained with 60% cover.
Publisher: Elsevier BV
Date: 07-2018
Publisher: Elsevier BV
Date: 2001
Publisher: Springer Science and Business Media LLC
Date: 07-06-2012
Publisher: Springer Science and Business Media LLC
Date: 29-06-2011
Publisher: Springer Science and Business Media LLC
Date: 06-2006
Publisher: Elsevier BV
Date: 08-2005
Publisher: Elsevier BV
Date: 03-2002
DOI: 10.1016/S0048-9697(01)00995-0
Abstract: The concentrations of Na, K, Ca, Mg, Ba, Sr, Fe, Al, Mn, Zn, Pb, Cu, Ni, Cr, Co, Se, U and Ti were determined in the osteoderms and/or flesh of estuarine crocodiles (Crocodylus porosus) captured in three adjacent catchments within the Alligator Rivers Region (ARR) of northern Australia. Results from multivariate analysis of variance showed that when all metals were considered simultaneously, catchment effects were significant (P < or = 0.05). Despite considerable within-catchment variability, linear discriminant analysis (LDA) showed that differences in elemental signatures in the osteoderms and/or flesh of C. porosus amongst the catchments were sufficient to classify in iduals accurately to their catchment of occurrence. Using cross-validation, the accuracy of classifying a crocodile to its catchment of occurrence was 76% for osteoderms and 60% for flesh. These data suggest that osteoderms provide better predictive accuracy than flesh for discriminating crocodiles amongst catchments. There was no advantage in combining the osteoderm and flesh results to increase the accuracy of classification (i.e. 67%). Based on the discriminant function coefficients for the osteoderm data, Ca, Co, Mg and U were the most important elements for discriminating amongst the three catchments. For flesh data, Ca, K, Mg, Na, Ni and Pb were the most important metals for discriminating amongst the catchments. Reasons for differences in the elemental signatures of crocodiles between catchments are generally not interpretable, due to limited data on surface water and sediment chemistry of
Publisher: Elsevier BV
Date: 07-1997
Publisher: Springer Science and Business Media LLC
Date: 1997
Publisher: Elsevier BV
Date: 12-1997
Publisher: Wiley
Date: 17-11-2005
Publisher: Springer Science and Business Media LLC
Date: 1999
Publisher: Elsevier BV
Date: 08-2017
Publisher: CSIRO Publishing
Date: 2007
DOI: 10.1071/MF06183
Abstract: This paper describes the relative influence of (i) landscape scale environmental and hydrological factors, (ii) local scale environmental conditions including recent flow history, and (iii) spatial effects (proximity of sites to one another), on the spatial and temporal variation in local freshwater fish assemblages in the Mary River, south-eastern Queensland, Australia. Using canonical correspondence analysis, each of the three sets of variables explained similar amounts of variation in fish assemblages (ranging from 44 to 52%). Variation in fish assemblages was partitioned into eight unique components: pure environmental, pure spatial, pure temporal, spatially structured environmental variation, temporally structured environmental variation, spatially structured temporal variation, the combined spatial/temporal component of environmental variation and unexplained variation. The total variation explained by these components was 65%. The combined spatial/temporal/environmental component explained the largest component (30%) of the total variation in fish assemblages, whereas pure environmental (6%), temporal (9%) and spatial (2%) effects were relatively unimportant. The high degree of intercorrelation between the three different groups of explanatory variables indicates that our understanding of the importance to fish assemblages of hydrological variation (often highlighted as the major structuring force in river systems) is dependent on the environmental context in which this role is examined.
Publisher: CSIRO Publishing
Date: 2006
DOI: 10.1071/MF06062
Abstract: As part of a wider study to develop an ecosystem-health monitoring program for wadeable streams of south-eastern Queensland, Australia, comparisons were made regarding the accuracy, precision and relative efficiency of single-pass backpack electrofishing and multiple-pass electrofishing plus supplementary seine netting to quantify fish assemblage attributes at two spatial scales (within discrete mesohabitat units and within stream reaches consisting of multiple mesohabitat units). The results demonstrate that multiple-pass electrofishing plus seine netting provide more accurate and precise estimates of fish species richness, assemblage composition and species relative abundances in comparison to single-pass electrofishing alone, and that intensive s ling of three mesohabitat units (equivalent to a riffle–run–pool sequence) is a more efficient s ling strategy to estimate reach-scale assemblage attributes than less intensive s ling over larger spatial scales. This intensive s ling protocol was sufficiently sensitive that relatively small differences in assemblage attributes ( %) could be detected with a high statistical power (1-β 0.95) and that relatively few stream reaches ( ) need be s led to accurately estimate assemblage attributes close to the true population means. The merits and potential drawbacks of the intensive s ling strategy are discussed, and it is deemed to be suitable for a range of monitoring and bioassessment objectives.
Publisher: Springer Science and Business Media LLC
Date: 05-2002
Publisher: Wiley
Date: 09-09-2014
DOI: 10.1111/AEC.12188
Publisher: Springer Science and Business Media LLC
Date: 07-06-2011
Publisher: Elsevier BV
Date: 05-2016
Publisher: Springer Science and Business Media LLC
Date: 1997
Publisher: Elsevier BV
Date: 03-2016
Publisher: Springer Science and Business Media LLC
Date: 09-04-2006
Publisher: Springer Science and Business Media LLC
Date: 05-05-2006
Publisher: Springer Science and Business Media LLC
Date: 24-08-2004
DOI: 10.1007/S00248-003-1045-4
Abstract: The impact of acid rock drainage (ARD) and eutrophication on microbial communities in stream sediments above and below an abandoned mine site in the Adelaide Hills, South Australia, was quantified by PLFA analysis. Multivariate analysis of water quality parameters, including anions, soluble heavy metals, pH, and conductivity, as well as total extractable metal concentrations in sediments, produced clustering of s le sites into three distinct groups. These groups corresponded with levels of nutrient enrichment and/or concentration of pollutants associated with ARD. Total PLFA concentration, which is indicative of microbial biomass, was reduced by >70% at sites along the stream between the mine site and as far as 18 km downstream. Further downstream, however, recovery of the microbial abundance was apparent, possibly reflecting dilution effect by downstream tributaries. Total PLFA was >40% higher at, and immediately below, the mine site (0-0.1 km), compared with sites further downstream (2.5-18 km), even after accounting for differences in specific surface area of different sediment s les. The increased microbial population in the proximity of the mine source may be associated with the presence of a thriving iron-oxidizing bacteria community as a consequence of optimal conditions for these organisms while the lower microbial population further downstream corresponded with greater sediments' metal concentrations. PCA of relative abundance revealed a number of PLFAs which were most influential in discriminating between ARD-polluted sites and the rest of the sites. These PLFA included the hydroxy fatty acids: 2OH12:0, 3OH12:0, 2OH16:0 the fungal marker: 18:2omega6 the sulfate-reducing bacteria marker 10Me16:1omega7 and the saturated fatty acids 12:0, 16:0, 18:0. Partial constrained ordination revealed that the environmental parameters with the greatest bearing on the PLFA profiles included pH, soluble aluminum, total extractable iron, and zinc. The study demonstrated the successful application of PLFA analysis to rapidly assess the toxicity of ARD-affected waters and sediments and to differentiate this response from the effects of other pollutants, such as increased nutrients and salinity.
Publisher: Springer Science and Business Media LLC
Date: 31-03-2006
Start Date: 2006
End Date: 12-2008
Amount: $221,000.00
Funder: Australian Research Council
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