ORCID Profile
0000-0001-6847-4817
Current Organisation
University of Western Australia
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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.
Applied Economics | Applied Economics not elsewhere classified | Environment and Resource Economics | Ecological Economics | Natural Resource Management | Marketing Management (incl. Strategy and Customer Relations) | Decision Making
Rehabilitation of Degraded Mining Environments | Information Services not elsewhere classified | Ecological Economics | Preference, Behaviour and Welfare | Behaviour and Health | Expanding Knowledge in the Agricultural and Veterinary Sciences |
Publisher: Australian Centre for Geomechanics, Perth
Date: 2019
Publisher: Wiley
Date: 15-12-2020
Publisher: Elsevier BV
Date: 06-2021
Publisher: Elsevier BV
Date: 04-2022
DOI: 10.1016/J.ANIMAL.2022.100490
Abstract: Greenhouse gas emissions from Western Australia's sheep flock account for 26% of the state's agricultural emissions, principally as a result of enteric methane emissions. A decrease in emissions between 2005 and 2019 can be partly explained by a 44% drop in sheep numbers over that period, but less is known about potential changes in the methane intensity of sheepmeat and wool kg CO
Publisher: Elsevier BV
Date: 2011
Publisher: Springer Science and Business Media LLC
Date: 30-11-2015
DOI: 10.1038/NCLIMATE2874
Publisher: Elsevier BV
Date: 02-2019
Publisher: Elsevier BV
Date: 12-2018
Publisher: Springer Science and Business Media LLC
Date: 22-08-2019
Publisher: Elsevier BV
Date: 2013
Publisher: Springer Science and Business Media LLC
Date: 10-08-2012
Publisher: Wiley
Date: 09-11-2018
DOI: 10.1111/REC.12895
Publisher: Springer Science and Business Media LLC
Date: 19-07-2017
Publisher: Elsevier BV
Date: 07-2023
Publisher: Wiley
Date: 19-08-2013
Publisher: Elsevier BV
Date: 10-2012
Publisher: Elsevier BV
Date: 11-2015
Publisher: Elsevier BV
Date: 10-2018
Publisher: The University of Western Australia
Date: 2019
Publisher: Cambridge University Press (CUP)
Date: 08-05-2012
Abstract: Strategic inquiries into coal mining by Australian Governments advocate increased use of comprehensive benefit cost analyses and nonmarket valuation studies when assessing in idual project proposals. The study reported in this paper addresses these Government concerns, by integrating results of a choice experiment into a benefit cost analysis undertaken for a Colliery in the Southern Coalfield of New South Wales, Australia. Results of the study were used to aid the State government in evaluating proposals for continued underground coal mining. We show that impacts of mine subsidence on streams, sw s, and Aboriginal sites negatively affect community wellbeing. Social welfare increases with the length of time that the mine provides direct employment. We demonstrate how implicit price estimates from the choice experiment can be incorporated into a benefit cost analysis of continued mining. Benefit cost analyses were carried out for a range of policy scenarios—including policies that would restrict mining activities at the Colliery and protect environmental and cultural features in the Southern Coalfield. Notwithstanding the environmental impacts generated by mining operations, continued mining is shown to be a more economically efficient course of action.
Publisher: Elsevier BV
Date: 06-2016
Publisher: MDPI AG
Date: 02-03-2023
DOI: 10.3390/SU15054475
Abstract: Food systems—encompassing food production, transportation, processing and consumption, including food losses and waste—are currently not delivering what is expected or needed to ensure their full contribution to societal well-being and ecological sustainability. In this paper, we hypothesize that nature-based solutions (NBS solutions that are inspired by, supported by, or copied from nature) can overcome system challenges related to the functioning of the biosphere, society, or economy (including governance arrangements), and support a transition to sustainable climate-resilient food systems. We develop a conceptual framework to assess NBS contributions to such transitions. Three types of NBS are evaluated: intrinsic NBS which make use of existing ecosystems hybrid NBS which manage and adapt ecosystems and inspired NBS which consist of newly constructed ecosystems. We show that inspired NBS in particular will increase opportunities to achieve sustainable development in food systems. NBS can facilitate the much-needed transition to a different way of using our natural resources to reach the SDGs by 2030. We identify the knowledge gaps that impede the development of NBS to support a transition towards sustainable, climate-resilient food systems.
Publisher: PeerJ
Date: 21-12-2017
DOI: 10.7287/PEERJ.PREPRINTS.3481V1
Abstract: This study estimated the economic value of the shark- ing industry in Semporna, the most popular ing destination of Malaysia, by surveying the expenditures of ing tourists and e operators through the region. A willingness-to-pay survey was also used to estimate the potential of the industry as a financing mechanism for enforcement and management of a hypothetical shark sanctuary. The study showed that in 2012, shark- ing tourism provided direct revenues in excess of USD 9.8 million to the Semporna district. These economic benefits had a flow-on effect, generating more than USD 2 million in direct taxes to the government and USD 1.4 million in salaries to the community. A contingent valuation analysis indicated that implementation of a fee paid by ers could generate over USD 2 million for management and enforcement of a shark sanctuary each year. These findings suggest that shark ing is an important contributor to the economy of the Semporna region that could be used as a mechanism to assist financial resourcing for management and conservation strategies.
Publisher: Springer Science and Business Media LLC
Date: 31-12-2017
Publisher: University of Wisconsin Press
Date: 07-2019
DOI: 10.3368/LE.95.3.353
Publisher: Elsevier BV
Date: 06-2021
Publisher: Oxford University Press (OUP)
Date: 20-12-2022
Abstract: Many researchers have pointed to coastal environments and their use for energy production, aquaculture, and conservation as key to solving profound challenges facing humanity. Navigating this transition in ocean space necessitates tools to quantify impacts on displaced marine users, including recreational fishers. In this study, we present a novel method combining spatial ecological models of recreational catch with fine-scale random utility models of site choice to predict the impacts of site closures on recreational fishing experiences (fisher welfare). We demonstrate our approach by modelling data from over 10 000 fishing trips to fine-scale sites across 1500 km of coastline in the south-west of Australia and simulating the effects of no-take marine reserves recently implemented in the Australian Marine Parks. The results show how the combination of random utility modelling with spatial ecological methods provides a powerful tool for investigating recreational fisheries as joint social-ecological systems and incorporating recreational fishing into marine spatial planning.
Publisher: Wiley
Date: 18-04-2022
Publisher: Elsevier BV
Date: 03-2016
Publisher: Wiley
Date: 05-11-2015
Publisher: Elsevier BV
Date: 07-2018
Publisher: Springer Science and Business Media LLC
Date: 20-03-2023
DOI: 10.1007/S13593-023-00880-1
Abstract: It is difficult to identify farm management practices that consistently provide greenhouse gas (GHG) abatement at different locations because effectiveness of practices is greatly influenced by climates and soils. We address this knowledge gap by identifying practices that provide abatement in eight case studies located across erse conditions in Australian’s grain-producing areas. The case studies focus on soil-based emissions of nitrous oxide (N 2 O) and changes in soil organic carbon (SOC), simulated over 100 years for 15 cropping management scenarios. Average changes in the balance of GHG from both N 2 O emissions and SOC sequestration (∆GHG balance) and gross margins compared to a high emissions baseline were determined over 25 and 100 simulated years. Because scenarios providing the greatest abatement varied across in idual case studies, we aggregated the data over all case studies and analysed them with a random forest data mining approach to build models for predicting ∆GHG balance. Increased cropping intensity, achieved by including cover crops, additional grains crops, or crops with larger biomass in the rotation, was the leading predictor of ∆GHG balance across the scenarios and sites. Abatement from increased cropping intensity averaged 774 CO 2 -e ha −1 year −1 (25 years) and 444 kg CO 2 -e ha −1 year −1 (100 years) compared to the baseline, with reduced emissions from SOC sequestration offsetting increased N 2 O emissions for both time frames. Increased cropping intensity decreased average gross margins, indicating that a carbon price would likely be needed to maximise GHG abatement from this management. To our knowledge, this is the first time that the random forest approach has been applied to assess management practice effectiveness for achieving GHG abatement over erse environments. Doing so provided us with more general information about practices that provide GHG abatement than would have come from qualitative comparison of the variable results from the case studies.
Publisher: Elsevier BV
Date: 02-2019
Publisher: Wiley
Date: 24-10-2018
DOI: 10.1002/AGR.21525
Publisher: The University of Western Australia
Date: 2020
Publisher: Springer Science and Business Media LLC
Date: 26-05-2011
Publisher: Wiley
Date: 04-2009
Publisher: Elsevier BV
Date: 11-2016
Publisher: Wiley
Date: 04-2011
Publisher: Elsevier BV
Date: 07-2017
Publisher: Elsevier BV
Date: 07-2018
Publisher: Elsevier BV
Date: 05-2018
Publisher: Elsevier BV
Date: 10-2021
Publisher: Informa UK Limited
Date: 11-09-2015
Publisher: Elsevier BV
Date: 05-2016
DOI: 10.1016/J.JENVMAN.2016.02.008
Abstract: This study reviewed 62 economic analyses published between 1995 and 2014 on the economic impacts of policies that incentivise agricultural greenhouse (GHG) mitigation. Typically, biophysical models are used to evaluate the changes in GHG mitigation that result from landholders changing their farm and land management practices. The estimated results of biophysical models are then integrated with economic models to simulate the costs of different policy scenarios to production systems. The cost estimates vary between $3 and $130/t CO2 equivalent in 2012 US dollars, depending on the mitigation strategies, spatial locations, and policy scenarios considered. Most studies assessed the consequences of a single, rather than multiple, mitigation strategies, and few considered the co-benefits of carbon farming. These omissions could challenge the reality and robustness of the studies' results. One of the biggest challenges facing agricultural economists is to assess the full extent of the trade-offs involved in carbon farming. We need to improve our biophysical knowledge about carbon farming co-benefits, predict the economic impacts of employing multiple strategies and policy incentives, and develop the associated integrated models, to estimate the full costs and benefits of agricultural GHG mitigation to farmers and the rest of society.
Publisher: Elsevier BV
Date: 02-2018
Publisher: Elsevier BV
Date: 07-2017
Publisher: The University of Western Australia
Date: 2018
Publisher: Springer Science and Business Media LLC
Date: 27-04-2017
Publisher: Oxford University Press (OUP)
Date: 15-07-2019
Abstract: Marine recreational fisheries (MRFs) are often highly spatially heterogenous, with effort concentrated into small areas, and fisheries spanning large environmental gradients. However, spatially resolved catch data is rarely collected in MRFs, preventing the study of spatial heterogeneity in catch. This study uses recreational catch reported in 10 × 10 nm blocks across eight degrees of latitude in Western Australia to map spatial predictions of the probability of a recreational catch on an average trip for two key species: West Australian dhufish (Glaucosoma hebraicum) and snapper (Chrysophrys auratus). Two spatial modelling techniques are compared for the analysis, generalized additive mixed models (GAMMs) and boosted regression trees (BRTs). We find that BRTs outperform GAMMs, but performance gains are small. We also find marked spatial variations in recreational catch probabilities: high catches of dhufish are found in the north of the study area, and low catches in the Perth Metropolitan area and in the south snapper catches are highest in the north and low in the south. These patterns are used to identify important spatial processes in the fishery. The analysis also suggests that modelling approach (GAMMs or BRTs) has only a minor effect on outcomes of spatial catch analysis in MRFs.
Publisher: Elsevier BV
Date: 06-2014
Publisher: Wiley
Date: 10-02-2016
Publisher: Wiley
Date: 28-05-2017
Publisher: Elsevier BV
Date: 08-2018
Publisher: Elsevier BV
Date: 03-2016
Publisher: Wiley
Date: 14-08-2019
Publisher: Wiley
Date: 04-09-2019
Publisher: Elsevier BV
Date: 11-2020
Publisher: Wiley
Date: 07-08-2015
DOI: 10.1111/COBI.12358
Abstract: Marine fish stocks are in many cases extracted above sustainable levels, but they may be protected through restricted-use zoning systems. The effectiveness of these systems typically depends on support from coastal fishing communities. High management costs including those of enforcement may, however, deter fishers from supporting marine management. We incorporated enforcement costs into a spatial optimization model that identified how conservation targets can be met while maximizing fishers' revenue. Our model identified the optimal allocation of the study area among different zones: no-take, territorial user rights for fisheries (TURFs), or open access. The analysis demonstrated that enforcing no-take and TURF zones incurs a cost, but results in higher species abundance by preventing poaching and overfishing. We analyzed how different enforcement scenarios affected fishers' revenue. Fisher revenue was approximately 50% higher when territorial user rights were enforced than when they were not. The model preferentially allocated area to the enforced-TURF zone over other zones, demonstrating that the financial benefits of enforcement (derived from higher species abundance) exceeded the costs. These findings were robust to increases in enforcement costs but sensitive to changes in species' market price. We also found that revenue under the existing zoning regime in the study area was 13-30% lower than under an optimal solution. Our results highlight the importance of accounting for both the benefits and costs of enforcement in marine conservation, particularly when incurred by fishers.
Publisher: Elsevier BV
Date: 07-2016
Publisher: Frontiers Media SA
Date: 15-06-2023
DOI: 10.3389/FENVS.2023.1128831
Abstract: The COVID-19 pandemic provides a salient backdrop to consider what many experts across public health, conservation, and biology have long highlighted: that land use change, environmental degradation, habitat loss, and climate change contribute to outbreaks of emerging infectious diseases. Drawing on literature from across a range of disciplines, we present a conceptual model that shows how human-environment interactions and decisions by citizens, industry, and governments can drive disease emergence and spread. We suggest that local consumer and producer decisions at one location can have ramifications that extend around the world and lead to land use changes in other jurisdictions which could lify or reduce the likelihood of novel disease outbreaks. Moving beyond the immediate health impacts and changes to healthcare systems, we propose that the long-term legacy of COVID-19 could be one that turns global society toward more socially, economically, and environmentally sustainable ways of production, consumption and landscape management through five “Key Policy Interventions.”
Publisher: Elsevier BV
Date: 12-2013
Publisher: Elsevier BV
Date: 09-2020
Publisher: Wiley
Date: 20-02-2014
DOI: 10.1093/AEPP/PPU001
Publisher: CSIRO Publishing
Date: 2023
DOI: 10.1071/AN23088
Publisher: Wiley
Date: 10-01-2019
DOI: 10.1111/AGEC.12480
Start Date: 2019
End Date: 2022
Funder: Department of Agriculture, Australian Government
View Funded ActivityStart Date: 2013
End Date: 2016
Funder: Department of Agriculture, Fisheries and Forestry, Australian Government
View Funded ActivityStart Date: 06-2016
End Date: 12-2021
Amount: $373,848.00
Funder: Australian Research Council
View Funded ActivityStart Date: 08-2022
End Date: 08-2026
Amount: $4,282,859.00
Funder: Australian Research Council
View Funded Activity