ORCID Profile
0000-0002-3667-3982
Current Organisations
Vanderbilt University Medical Center
,
Deakin University
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Publisher: Springer Science and Business Media LLC
Date: 05-10-2022
DOI: 10.1007/S11625-022-01227-7
Abstract: There is an urgent need for countries to transition their national food and land-use systems toward food and nutritional security, climate stability, and environmental integrity. How can countries satisfy their demands while jointly delivering the required transformative change to achieve global sustainability targets? Here, we present a collaborative approach developed with the FABLE—Food, Agriculture, Bio ersity, Land, and Energy—Consortium to reconcile both global and national elements for developing national food and land-use system pathways. This approach includes three key features: (1) global targets, (2) country-driven multi-objective pathways, and (3) multiple iterations of pathway refinement informed by both national and international impacts. This approach strengthens policy coherence and highlights where greater national and international ambition is needed to achieve global goals (e.g., the SDGs). We discuss how this could be used to support future climate and bio ersity negotiations and what further developments would be needed.
Publisher: MDPI AG
Date: 31-10-2016
DOI: 10.3390/NU8110690
Publisher: American Chemical Society (ACS)
Date: 18-05-2018
Abstract: Environmentally extended input-output analysis (EEIOA) supports environmental policy by quantifying how demand for goods and services leads to resource use and emissions across the economy. However, some types of resource use and emissions require spatially explicit impact assessment for meaningful interpretation, which is not possible in conventional EEIOA. For ex le, water use in locations of scarcity and of abundance are not environmentally equivalent. Opportunities for spatially explicit impact assessment in conventional EEIOA are limited because official input-output tables tend to be produced at the scale of political units, which are not usually well-aligned with environmentally relevant spatial units. In this study, spatially explicit water-scarcity factors and a spatially disaggregated Australian water-use account were used to develop water-scarcity extensions that were coupled with a multiregional input-output model (MRIO). The results link demand for agricultural commodities to the problem of water scarcity in Australia and globally. Important differences were observed between the water-use and water-scarcity footprint results as well as the relative importance of direct and indirect water use, with significant implications for sustainable production and consumption-related policies. The approach presented here is suggested as a feasible general approach for incorporating spatially explicit impact assessments in EEIOA.
Publisher: Copernicus GmbH
Date: 24-06-2014
DOI: 10.5194/HESS-18-2325-2014
Abstract: Abstract. The water footprint is a consumption-based indicator of water use, referring to the total volume of freshwater used directly and indirectly by a nation or a company, or in the provision of a product or service. Despite widespread enthusiasm for the development and use of water footprints, some concerns have been raised about the concept and its usefulness. A variety of methodologies have been developed for water footprinting which differ with respect to how they deal with different forms of water use. The result is water footprint estimates which vary dramatically, often creating confusion. Despite these methodological qualms, the concept has had notable success in raising awareness about water use in agricultural and industrial supply chains, by providing a previously unavailable and (seemingly) simple numerical indicator of water use. Nevertheless, and even though a range of uses have already been suggested for water footprinting, its policy value remains unclear. Unlike the carbon footprint which provides a universal measure of human impact on the atmosphere's limited absorptive capacity, the water footprint in its conventional form solely quantifies a single production input without any accounting of the impacts of use, which vary spatially and temporally. Following an extensive review of the literature related to water footprints, this paper critically examines the present uses of the concept, focusing on its current strengths, shortcomings and promising research avenues to advance it.
Publisher: Unpublished
Date: 2013
Publisher: American Chemical Society (ACS)
Date: 25-11-2020
Abstract: There is building consensus that nonstate actors have the potential to drive more ambitious action toward climate targets than governments, thus driving the necessary transition to ensure that humanity remains within a safe operating space. These bottom-up mitigation activities, however, require in idual targets on both direct and indirect (upstream) greenhouse gas (GHG) emissions in order to reconcile trade-offs between global and local sustainability goals. Here we use a scenario-driven approach based on a global multiregional input-output (GMRIO) model to develop scope 3 emission reduction targets for in idual economic sectors, comparable across countries and geographies. Under an ambitious carbon mitigation scenario for 2035 (that follows a trajectory of 1.75 °C total warming by 2100), global upstream scope 3 emission intensities need to be reduced by an additional 54% compared to a baseline scenario with reference technology. On a sectoral basis, this is equivalent to a 58-67% reduction in energy, transport, and materials, a 50-52% reduction in manufacturing, services, and buildings, and a 39% reduction in agriculture, forestry, and other land use. By aligning indirect supply chain targets with ambitious carbon mitigation scenarios, our approach can be used by nonstate actors to set actionable scope 3 targets and to build climate-compatible business models.
Publisher: Springer Science and Business Media LLC
Date: 05-09-2022
Publisher: Elsevier BV
Date: 12-2022
Publisher: MDPI AG
Date: 12-01-2021
DOI: 10.20944/PREPRINTS202101.0210.V1
Abstract: To sustain water-dependent economic and socio-ecological systems, natural capital and its interactions with other capitals is gaining attention, but a clear understanding of how to manage natural capital sustainably and how to make decisions relevant to water-related ecosystem services is yet to be achieved. In this study, we extended the framing of water-related ecosystem service flows as a cycle, integrating water quantity and quality and capturing the flows of ecosystem services (i.e., green phase) and ecosystem disservices (i.e., red phase), and connecting natural capital, built capital, and beneficiaries. We applied this framework to the Jiulong River watershed in China, using hydrological models to model water quantity and quality based on historical observations and experimental data. Our results showed that, during the green phase, the interactions of natural capital and built capital significantly improved water quality in downstream areas with higher flows. During the red phase, built capital reduced ecosystem disservices by ~10% while natural capital further reduced it by over one half. Our framework can provide information for natural capital management, eco-compensation, and pollutant management relevant to water-related ecosystem services.
Publisher: Elsevier BV
Date: 07-2014
DOI: 10.1016/J.SCITOTENV.2014.03.062
Abstract: Compiling, deploying and utilising large-scale databases that integrate environmental and economic data have traditionally been labour- and cost-intensive processes, hindered by the large amount of disparate and misaligned data that must be collected and harmonised. The Australian Industrial Ecology Virtual Laboratory (IELab) is a novel, collaborative approach to compiling large-scale environmentally extended multi-region input-output (MRIO) models. The utility of the IELab product is greatly enhanced by avoiding the need to lock in an MRIO structure at the time the MRIO system is developed. The IELab advances the idea of the "mother-daughter" construction principle, whereby a regionally and sectorally very detailed "mother" table is set up, from which "daughter" tables are derived to suit specific research questions. By introducing a third tier - the "root classification" - IELab users are able to define their own mother-MRIO configuration, at no additional cost in terms of data handling. Customised mother-MRIOs can then be built, which maximise disaggregation in aspects that are useful to a family of research questions. The second innovation in the IELab system is to provide a highly automated collaborative research platform in a cloud-computing environment, greatly expediting workflows and making these computational benefits accessible to all users. Combining these two aspects realises many benefits. The collaborative nature of the IELab development project allows significant savings in resources. Timely deployment is possible by coupling automation procedures with the comprehensive input from multiple teams. User-defined MRIO tables, coupled with high performance computing, mean that MRIO analysis will be useful and accessible for a great many more research applications than would otherwise be possible. By ensuring that a common set of analytical tools such as for hybrid life-cycle assessment is adopted, the IELab will facilitate the harmonisation of fragmented, dispersed and misaligned raw data for the benefit of all interested parties.
Publisher: Scientific Research Publishing, Inc.
Date: 2013
Publisher: Elsevier BV
Date: 06-2020
Publisher: MDPI AG
Date: 13-01-2021
DOI: 10.20944/PREPRINTS202101.0237.V1
Abstract: Sustainable Development Goal 12 requires countries to achieve responsible consumption and production patterns without exceeding safe environmental limits for natural resource use. However, little is known about how cropland impacts from the agri-food sector contribute to the exceedance of national environmental limits for consumption and production. Using a multi-regional input-output model, we linked the cropland impacts of agri-food production to countries of consumption while considering the exceedance of production-based and consumption-based environmental limits. We defined national consumption-based environmental limits via the fair-share approach and quantified national production-based environmental limits according to the biophysical limit of available arable land. We then classified countries into quadrants according to their exceedance of consumption and/or production environmental limits. We found that the USA, Australia and other high-income countries were exceeding both consumption-based and production-based environmental limits. High-population but low-income countries such as India and China were within safe consumption-based environmental limits but exceeded production-based environmental limits. Brazil and other countries of the Americas incurred substantial environmental costs due to the conversion of forests into cropland to produce food for export. We identified patterns in international trade relationships that could inform national-level responsible agri-food consumption and production patterns across the global supply chain, thereby contributing to Sustainable Development Goal 12. More stringent regulations and commitments in national and international policies are required to reduce the exceedance of consumption-based and production-based environmental limits and avoid exceeding the global land-system change planetary boundary.
Publisher: Elsevier BV
Date: 09-2022
Publisher: Elsevier BV
Date: 12-2021
Publisher: American Geophysical Union (AGU)
Date: 03-2021
DOI: 10.1029/2020EF001843
Abstract: The achievement of global sustainability agendas, such as the Sustainable Development Goals, relies on transformational change across society, economy, and environment that are co‐created in a transdisciplinary exercise by all stakeholders. Within this context, environmental and societal change is increasingly understood and represented via participatory modeling for genuine engagement with multiple collaborators in the modeling process. Despite the ersity of participatory modeling methods to promote engagement and co‐creation, it remains uncertain what the extent and modes of participation are in different contexts, and how to select the suitable methods to use in a given situation. Based on a review of available methods and specification of potential contextual requirements, we propose a unifying framework to guide how collaborators of different backgrounds can work together and evaluate the suitability of participatory modeling methods for co‐creating sustainability pathways. The evaluation of method suitability promises the integration of concepts and approaches necessary to address the complexities of problems at hand while ensuring robust methodologies based on well‐tested evidence and negotiated among participants. Using two illustrative case studies, we demonstrate how to explore and evaluate the choice of methods for participatory modeling in varying contexts. The insights gained can inform creative participatory approaches to pathway development through tailored combinations of methods that best serve the specific sustainability context of particular case studies.
Publisher: Elsevier BV
Date: 08-2014
Publisher: Elsevier BV
Date: 2013
DOI: 10.1016/J.JENVMAN.2012.11.002
Abstract: The impact of tourism activities on local water resources remains a largely understudied issue in environmental and sustainable tourism management. The aim of the paper is to present a simple methodology that allows an estimate of direct and indirect local water use associated with different holiday packages and to then discuss relevant management implications. This is explored through the creation of five illustrative ex les of holidays to semi-arid eastern Mediterranean destinations: Cyprus (2), Turkey, Greece and Syria. Using available data on water use associated with different forms of travel, accommodation and tourist activities, indicative water footprints are calculated for each of the illustrative ex les. Food consumption by tourists appears to have by far the most significant impact on the overall water footprint and this aspect of water use is explored in detail in the paper. The paper also suggests a way of employing the water footprint methodology along with import/export balance sheets of main food commodities to distinguish between the global and local pressure of tourism demand on water resources. Water resource use is likely to become an increasingly important issue in tourism management and must be considered alongside more established environmental concerns such as energy use, using methodologies that can capture direct as well as supply chain impacts.
Publisher: Elsevier BV
Date: 03-2021
Publisher: SAGE Publications
Date: 10-12-2013
Abstract: The article introduces an integrated market-segmentation and tourism yield estimation framework for inbound tourism. Conventional approaches to yield estimation based on country of origin segmentation and total expenditure comparisons do not provide sufficient detail, especially for mature destinations dominated by large single-country source markets. By employing different segmentation approaches along with Tourism Satellite Accounts and various yield estimates, this article estimates direct economic contribution for subsegments of the UK market on the Mediterranean island of Cyprus. Overall expenditure across segments varies greatly, as do the spending ratios in different categories. In the case of Cyprus, the most potential for improving economic contribution currently lies in increasing spending on “food and beverages” and “culture and recreation.” Mass tourism therefore appears to offer the best return per monetary unit spent. Conducting similar studies in other destinations could identify priority spending sectors and enable different segments to be targeted appropriately.
Publisher: MDPI AG
Date: 29-07-2016
DOI: 10.3390/EN9080602
Publisher: American Chemical Society (ACS)
Date: 06-01-2021
Publisher: Elsevier BV
Date: 07-2022
Publisher: Elsevier BV
Date: 03-2020
Publisher: Elsevier BV
Date: 12-2016
Publisher: Springer Science and Business Media LLC
Date: 12-01-2023
Publisher: Authorea, Inc.
Date: 11-07-2023
DOI: 10.22541/AU.168908143.31581770/V1
Abstract: The 2030 Agenda offers a list of global environmental, social, and economic objectives to attain sustainable development. However, achieving the Sustainable Development Goals (SDGs) is challenging given the complex interactions between different SDGs and their spillover effects. System dynamics models have the capacity to integrate multisectoral dynamics of SDG interactions. We developed a system dynamics model-the Local Environmental and Socio-Economic Model (LESEM)-to analyse and quantify context-based SDG interactions at the local scale using a participatory model co-design process with local stakeholders. The LESEM was developed for a case study in the Goulburn-Murray Irrigation District in northern Victoria, Australia. We present an illustrative application of the model that quantifies SDG interactions across four high-priority SDGs, namely clean water and sanitation (SDG 6), agricultural activities (SDG 2), economic growth (SDG 8), and life on land (SDG 15). Our results suggest that agricultural land area may shrink by 62,522 ha due to the decline in water resource availability (SDG 6) under a business-as-usual (BAU) scenario from 2022 to 2050. However, the results also highlight that agri-food production (SDG 2) is likely to increase due to intensification to meet future agri-food demand, and higher values of farm output may improve local prosperity. The projections also suggest that environmental pressures may increase due to increasing agricultural intensification and reduced water availability. The LESEM facilitates integrated and strategic decision-making and helps local policymakers identify and quantify potential trade-offs and synergies that benefit multiple SDGs, which eventually leads local communities toward sustainability.
Publisher: Elsevier BV
Date: 2022
Publisher: Elsevier BV
Date: 05-2011
DOI: 10.1016/J.SCITOTENV.2011.02.038
Abstract: Recent research in catchments of rapidly developing countries such as Brazil and China suggests that many catchments of the developing world are already showing signs of nitrogen pollution reminiscent of past experiences in developed countries. This paper looks at both the in idual and combined effects of future climate change and other likely environmental changes on in-stream nitrate concentrations in a catchment in Northern Turkey. A model chain comprised of simulated future temperature and precipitation from a Regional Circulation Model (RCM), a conceptual hydrological model (HBV) and a widely tested integrated catchment nitrogen model (INCA-N) is used to model future changes in nitrate concentrations. Two future periods (2021-2050 and 2069-2098) are compared to the 1961-1990 baseline period in order to assess the effectiveness of several possible interventions available to catchment authorities. The simulations show that in the urbanised part of the catchment, the effects of climate change and other environmental changes act in the same direction, leading to peak nitrate concentrations of 7.5 mg N/l for the 2069-2098 period, which corresponds to a doubling of the baseline values. Testing different available policy options reveals that the installation of wastewater treatment works (WWTWs) in all major settlements of the catchment could ensure nitrate levels are kept at near their baseline values for the 2021-2050 period. Nevertheless, a combination of measures including WWTWs, meadow creation, international agreements to reduce atmospheric N concentrations and controls on agricultural practises will be required for 2069-2098. The approach presented in this article could be employed in order to anticipate future pollution problems and to test appropriate solutions, some of which will necessitate international co-operation, in other catchments around the world.
Publisher: Elsevier BV
Date: 07-2021
Publisher: American Geophysical Union (AGU)
Date: 06-2011
DOI: 10.1029/2010WR010269
Publisher: California Digital Library (CDL)
Date: 12-10-2023
DOI: 10.31223/X5C97K
Publisher: Elsevier BV
Date: 2018
Publisher: Elsevier BV
Date: 2017
Publisher: Elsevier BV
Date: 06-2019
Publisher: Springer International Publishing
Date: 2017
Publisher: American Geophysical Union (AGU)
Date: 09-2021
DOI: 10.1029/2020EF001923
Abstract: Equilibrium models (EMs) are frequently employed to examine the potential impacts of economic, energy, and trade policies as well as form the foundation of most integrated assessment models. Despite their central role coupling economic and environmental systems, environmental scientists are largely unfamiliar with the structure and methodology underpinning EMs, which serves as a barrier to interdisciplinary collaboration and model improvement. In this study we systematically extract data from 10 years of published EMs with a focus on how these models have been extended beyond their economic origins to encompass environmentally relevant sectors of interest. The results indicate that there is far greater spatial coverage of high income countries compared to low income countries, with notable gaps in Central America, Africa, the Middle East, and Central Asia. We also find a high degree of aggregation within production inputs and sectoral outputs, particularly within the context of global socioeconomic scenarios. For ex le, we were unable to identify a single temporally dynamic study that distinguished between products arising from managed versus natural forest, or pastures relative to natural grasslands. Due to the necessary breadth and associated knowledge gaps within a model of the entire global economy, we see considerable potential for cross‐disciplinary innovation as natural scientists gain familiarity into the role these models play in bridging the nexus between socioeconomic systems and environmental change.
Publisher: Informa UK Limited
Date: 30-07-2015
Publisher: Elsevier BV
Date: 10-2017
Publisher: Elsevier BV
Date: 2019
Publisher: MDPI AG
Date: 04-12-2020
DOI: 10.20944/PREPRINTS202012.0105.V1
Abstract: Long-term, high-accuracy mapping of built-up land dynamics is essential for understanding urbanization and its consequences for the environment. Despite advances in remote sensing and classification algorithms, built-up land mapping using early satellite imagery (e.g., from the 2000s and earlier) remains prone to uncertainty. We mapped the extent of built-up land in the North China Plain, one of China& rsquo s most important agricultural regions, from 1990 to 2019 at three-year intervals. Using dense time-stack Landsat data, we applied discrete Fourier transformation to create temporal predictors and reduce mapping uncertainties for early years. We improved overall accuracy by 8% compared to using spectral and indices predictors alone. We implemented a temporal correction algorithm to remove inconsistent pixel classifications, further improving accuracy to a consistently high level (& %) across years. A cross-product comparison showed that our study achieved the highest levels of accuracy across years. Total built-up land in the North China Plain increased from 37,941 km2 in 1990& ndash to 131,578 km2 in 2017& ndash . Consistent, high-accuracy built-up land mapping provides a reliable basis for policy planning in one of the most rapidly urbanizing regions of the planet.
Publisher: Elsevier BV
Date: 02-2019
Publisher: Elsevier BV
Date: 2023
Publisher: Springer Science and Business Media LLC
Date: 06-2022
DOI: 10.1007/S11027-022-10010-Z
Abstract: Adaptation to climate change is imperative for the resilience of smallholder agriculture in many developing countries. While studies have focused on climatic impacts on crops and adaptation decisions, barriers to the uptake of adaptation measures by smallholder farmers remain largely unexplored. We empirically quantified the adoption of adaptation measures, as well as barriers to adoption and their determinants for smallholder agriculture in Far Western Province, Nepal, based on a survey of 327 smallholder farmers. We established relationships between barriers and adoption for three different agroecosystems: the Mountain, Hill, and Terai. We then used multiple regression to identify the determinants of barriers in the broader study area, as well as across agroecosystems. We found that adaptation measures such as crop adjustment, farm management, and fertiliser management were practised across all regions. Techno-informational, economic, and environmental barriers were strongly and inversely correlated with adoption of adaptation measures. Adoption, barriers, and determinants varied across agroecosystems. The findings indicate that agricultural development policies must consider climate change adaptation measures tailored to specific agroecosystems in order to most effectively alleviate barriers and promote smallholder resilience.
Publisher: Springer Science and Business Media LLC
Date: 11-11-2019
Publisher: American Society of Clinical Oncology (ASCO)
Date: 20-05-2019
DOI: 10.1200/JCO.18.01600
Abstract: Effective treatment options are limited for patients with acute myeloid leukemia (AML) who cannot tolerate intensive chemotherapy. An international phase Ib/II study evaluated the safety and preliminary efficacy of venetoclax, a selective B-cell leukemia/lymphoma-2 inhibitor, together with low-dose cytarabine (LDAC) in older adults with AML. Adults 60 years or older with previously untreated AML ineligible for intensive chemotherapy were enrolled. Prior treatment of myelodysplastic syndrome, including hypomethylating agents (HMA), was permitted. Eighty-two patients were treated at the recommended phase II dose: venetoclax 600 mg per day orally in 28-day cycles, with LDAC (20 mg/m 2 per day) administered subcutaneously on days 1 to 10. Key end points were tolerability, safety, response rates, duration of response (DOR), and overall survival (OS). Median age was 74 years (range, 63 to 90 years), 49% had secondary AML, 29% had prior HMA treatment, and 32% had poor-risk cytogenetic features. Common grade 3 or greater adverse events were febrile neutropenia (42%), thrombocytopenia (38%), and WBC count decreased (34%). Early (30-day) mortality was 6%. Fifty-four percent achieved complete remission (CR)/CR with incomplete blood count recovery (median time to first response, 1.4 months). The median OS was 10.1 months (95% CI, 5.7 to 14.2), and median DOR was 8.1 months (95% CI, 5.3 to 14.9 months). Among patients without prior HMA exposure, CR/CR with incomplete blood count recovery was achieved in 62%, median DOR was 14.8 months (95% CI, 5.5 months to not reached), and median OS was 13.5 months (95% CI, 7.0 to 18.4 months). Venetoclax plus LDAC has a manageable safety profile, producing rapid and durable remissions in older adults with AML ineligible for intensive chemotherapy. High remission rate and low early mortality combined with rapid and durable remission make venetoclax and LDAC an attractive and novel treatment for older adults not suitable for intensive chemotherapy.
Publisher: California Digital Library (CDL)
Date: 07-04-2023
DOI: 10.31223/X50H2B
Abstract: Transforming the global food system is necessary to avoid exceeding planetary boundaries. A robust evidence base is crucial to assess the scale and combination of interventions required for a sustainable transformation. We developed a risk assessment framework, underpinned by a meta-regression of 60 global food system modeling studies, to quantify the potential of in idual and combined interventions to mitigate the risk of exceeding the boundaries for land-system change, freshwater use, climate change, and biogeochemical flows by 2050. Limiting the risk of exceedance across four key planetary boundaries requires a high but plausible level of ambition in all demand-side (diet, population, waste) and most supply-side interventions. Attaining the required level of ambition for all interventions relies on embracing synergistic actions across the food system.
Publisher: Elsevier BV
Date: 09-2020
Publisher: Elsevier BV
Date: 06-2020
Publisher: Elsevier BV
Date: 2017
Publisher: Elsevier BV
Date: 09-2015
Publisher: Elsevier BV
Date: 12-2022
Publisher: Wiley
Date: 06-08-2020
DOI: 10.1111/OBR.13126
Publisher: Elsevier BV
Date: 06-2019
Publisher: Springer Science and Business Media LLC
Date: 23-12-2022
Publisher: Cambridge University Press (CUP)
Date: 02-12-2022
DOI: 10.1017/S1368980022002580
Abstract: The choice of terms used to describe ‘foods to limit’ (FTL) in food-based dietary guidelines (FBDG) can impact public understanding, policy translation and research applicability. The choice of terms in FBDG has been influenced by available science, values, beliefs and historical events. This study aimed to analyse the terms used and definitions given to FTL in FBDG around the world, including changes over time and regional differences. A review of terms used to describe FTL and their definitions in all current and past FBDG for adults was conducted, using a search strategy informed by the FAO FBDG website. Data from 148 guidelines (96 countries) were extracted into a pre-defined table and terms were organised by the categories ‘nutrient-based’, ‘food ex les’ or ‘processing-related’. National FBDG from all world regions. None. Nutrient-based terms (e.g. high-fat foods) were the most frequently used type of term in both current and past dietary guidelines (91 %, 85 %, respectively). However, food ex les (e.g. cakes) and processing-related terms (e.g. ultra-processed foods) have increased in use over the past 20 years and are now often used in conjunction with nutrient-based terms. Regional differences were only observed for processing-related terms. Diverse, and often poorly defined, terms are used to describe FTL in FBDG. Policymakers should ensure that FTL terms have clear definitions and can be integrated with other disciplines and understood by consumers. This may facilitate the inclusion of the most contemporary and potentially impactful terminology in nutrition research and policies.
Publisher: Informa UK Limited
Date: 03-04-2017
Location: United States of America
Location: United States of America
Location: United States of America
Location: United Kingdom of Great Britain and Northern Ireland
Location: United Kingdom of Great Britain and Northern Ireland
Location: United Kingdom of Great Britain and Northern Ireland
Start Date: 2022
End Date: 2026
Funder: National Health and Medical Research Council
View Funded ActivityStart Date: 2015
End Date: 2016
Funder: Australian Academy of Science
View Funded Activity