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Summary: Natural resource management in Australia is beset with 'wicked' problems: diminishing biodiversity, increasing soil erosion, spreading soil salinity and global climate change all impact private landholders across rural Australia. These problems highlight the complexity of biodiversity conservation, and the need for inclusive, respectful approaches that enable the participation of rural communities, private landholders and government agencies to effectively manage biodiversity on public and private lands. To address these problems, some landholders, rural communities and other stakeholders are seeking evidence‐based solutions through directly applicable research. In this paper, we identify current barriers to such research and highlight principles and processes for co‐designing and managing research based on mutual trust, respect, power sharing and acceptance of various knowledge systems, as embodied in the theory of reconciliation ecology. We suggest that a 'community of practice' approach could assist in establishing effective deliberative relations as a basis for active collaboration in natural resource management research to address these complex problems. [ABSTRACT FROM AUTHOR]

Regional climate models (RCMs) are used to dynamically downscale global climate models (GCMs) to provide high-resolution projections of future climate change to better inform policy and decision making at the regional scale. However, biases from GCMs are transferred to RCMs and this can limit the usefulness of the regional climate projections. This paper investigates the influence of bias correcting 4 GCMs from the Coupled Model Intercomparison Project 3, for regional climate simulations over the CORDEX-Australasia domain using Weather Research and Forecasting. The GCM outputs are bias corrected against ERA-Interim reanalysis as a surrogate truth. Results show that over decadal time scales bias correction removes large systematic precipitation and temperature biases. However, bias correction also introduced biases where there were none, introduced biases of the opposite sign, or enhanced existing biases in other regions in some instances. The dynamical mechanisms driving the changes in the biases are explored. [ABSTRACT FROM AUTHOR]

Aboriginal People have inhabited the Australian continent before time began, but archaeologists and anthropologists state there is evidence for approximately 51,000 to 71,000 years of continual habitation. During this time, the Australian continent has experienced many environmental and climatic changes, which have contributed to mass animal extinction. The skeletal remains of Aboriginal Australians were examined for evidence, which may be indicative of fast running which would assist survival. The skull and mandible bones of the Kaurna People were examined for signs evolutional traits related to survival. Aboriginal culture, knowledge of medical treatment and traditional medicines were also investigated. Oral storytelling of factual events, passed down unchanged for millennia, contributed to survival. The Kaurna People exhibited evolutionary facial features that would have assisted survival. Kaurna People had excellent knowledge of medicine and the capacity to heal their community members. The process of mobility and relocation may have embedded the need to be mobile in some Aboriginal Australian cultures, and why many Aboriginal tribes did not invest too much time and resources in building permanent structures and dwellings. Navigating these extremely harsh, rapidly changing conditions is an incredible story of survival of Aboriginal Australians. The findings of this investigation suggest that Aboriginal Australians' survival methods were complex and multi-faceted. Although this paper could not examine every survival method, perhaps Aboriginal Peoples' knowledge of flora and fauna, (for nourishment and medicine) living in clans, and avoiding mass cohabitation was paramount to our survival. [ABSTRACT FROM AUTHOR]

Species distribution models (SDMs) are an effective way of predicting the potential distribution of species and their response to environmental change. Most SDMs apply presence data to a relatively generic set of predictive variables such as climate. However, this weakens the modelling process by overlooking the responses to more cryptic predictive variables. In this paper we demonstrate a means by which data gathered from an intensive animal trapping study can be used to enhance SDMs by combining field data with bioclimatic modelling techniques to determine the future potential distribution for the koomal (Trichosurus vulpecula hypoleucus). The koomal is a geographically isolated subspecies of the common brushtail possum, endemic to south-western Australia. Since European settlement this taxon has undergone a significant reduction in distribution due to its vulnerability to habitat fragmentation, introduced predators and tree/shrub dieback caused by a virulent group of plant pathogens of the genus Phytophthora. An intensive field study found: 1) the home range for the koomal rarely exceeded 1 km in in length at its widest point; 2) areas heavily infested with dieback were not occupied; 3) gap crossing between patches (>400 m) was common behaviour; 4) koomal presence was linked to the extent of suitable vegetation; and 5) where the needs of koomal were met, populations in fragments were demographically similar to those found in contiguous landscapes. We used this information to resolve a more accurate SDM for the koomal than that created from bioclimatic data alone. Specifically, we refined spatial coverages of remnant vegetation and dieback, to develop a set of variables that we combined with selected bioclimatic variables to construct models. We conclude that the utility value of an SDM can be enhanced and given greater resolution by identifying variables that reflect observed, species-specific responses to landscape parameters and incorporating these responses into the model. [ABSTRACT FROM AUTHOR]

Hydrogen is fast becoming a new international "super fuel" to accelerate global climate change ambitions. This paper has two inter-weaving themes. Contextually, it focuses on the potential impact of the EU's new Carbon Border Adjustment Mechanism (CBAM) on fossil fuel-generated as opposed to green hydrogen imports. The CBAM, as a transnational carbon adjustment mechanism, has the potential to impact international trade in energy. It seeks both a level playing field between imports and EU internal markets (subject to ambitious EU climate change policies), and to encourage emissions reduction laggards through its "carbon diplomacy". Countries without a price on carbon will be charged for embodied carbon in their supply chains when they export to the EU. Empirically, we focus on two hydrogen export/import case studies: Australia as a non-EU state with ambitions to export hydrogen, and Germany as an EU Member State reliant on energy imports. Energy security is central to energy trade debates but needs to be conceptualized beyond supply and demand economics to include geopolitics, just transitions and the impacts of border carbon taxes and EU carbon diplomacy. Accordingly, we apply and further develop a seven-dimension energy security-justice framework to the examples of brown, blue and green hydrogen export/import hydrogen operations, with varying carbon-intensity supply chains, in Australia and Germany. Applying the framework, we identify potential impact—risks and opportunities—associated with identified brown, blue and green hydrogen export/import projects in the two countries. This research contributes to the emerging fields of international hydrogen trade, supply chains, and international carbon diplomacy and develops a potentially useful seven-dimension energy security-justice framework for energy researchers and policy analysts. [ABSTRACT FROM AUTHOR]

This paper aims to evaluate the life cycle greenhouse gas (GHG) emissions of importing electrical power into Singapore, generated from a large-scale solar photovoltaic (PV) power plant in Australia, through a long-distance subsea high-voltage direct current (HVDC) cable. A cost optimization model was developed to estimate the capacities of the system components. A comprehensive life cycle assessment model was built to estimate emissions of manufacturing and use of these components. Our evaluation shows that, for covering one fifth of Singapore's electrical energy needs, a system with an installed capacity of 13 G W P V , 17 GWh battery storage and 3.2 G W subsea cable is required. The life cycle GHG emissions of such a system are estimated to be 110 g CO 2 eq/ kWh , with the majority coming from the manufacturing of solar PV panels. Cable manufacturing does not contribute largely toward GHG emissions. By varying full-load hours and cable lengths, it was assessed that sites closer to Singapore might provide the same energy at same/lower carbon footprint and reduced cost, despite the lower insolation as compared to Australia. However, these sites could cause greater emissions from land use changes than the deserts of Australia, offsetting the advantages of a shorter HVDC cable. [ABSTRACT FROM AUTHOR]