@article {bnh-7341, title = {A Culture of Burning: Social-Ecological Memory, Social Learning and Adaptation in Australian Volunteer Fire Brigades}, journal = {Society and Natural Resources}, year = {2020}, month = {09/2020}, abstract = {

While Australian government agencies are increasingly emphasizing the need to {\textquotedblleft}build community resilience{\textquotedblright} to bushfires, communities in many rural landscapes have a strong history of actively managing fire risk, in particular through involvement in volunteer fire brigades. This paper explores social-ecological memory, social learning, and adaptation in volunteer Country Fire Authority brigades in western Victoria, specifically in the context of planned burning of strategic roadside fire breaks. It examines the relationships between local knowledge, narratives and practices of burning and how these shape volunteer identities, embodying {\textquotedblleft}shared responsibility{\textquotedblright}. Findings show that participation in roadside burning is critical for supporting social learning and ongoing community engagement in fire management. However, changing land uses, social demographics and regulatory processes are negatively impacting local volunteer capacities. While brigades have responded by re-organizing their practices, questions remain as to what extent this constitutes adaptation or transformation connecting to broader landscape-level risk management.

}, keywords = {adaptation, Bushfire, community-based fire management, planned burning, resilience, volunteering}, doi = {https://doi.org/10.1080/08941920.2020.1819494}, url = {https://www.tandfonline.com/doi/full/10.1080/08941920.2020.1819494}, author = {Sarah Dickson-Hoyle and Ruth Beilin and Karen Reid} } @article {bnh-5623, title = {Describing adaptation tipping points in coastal flood risk management}, journal = {Computers, Environment and Urban Systems}, volume = {69}, year = {2018}, month = {05/2018}, abstract = {

Assessing changing coastal flood risk becomes increasingly uncertain across multi-decadal timeframes. This uncertainty is a fundamental complexity faced in\ vulnerability\ assessments and adaptation planning. Robust decision making (RDM) and dynamic adaptive policy pathways (DAPP) are two\ state-of-the-artdecision support\ methods that are useful in such situations. In this study we use RDM to identify a small set of conditions that cause unacceptable impacts from\ coastal flooding, signifying that an adaptation tipping point is reached. Flexible adaptation pathways can then be designed using the DAPP framework. The methodology is illustrated using a case study in Australia and underpinned by a\ geographic information system\ model. The results suggest that conditions identified in scenario discovery direct the attention of decision-makers towards a small number of uncertainties most influential on the vulnerability of a community to changing flood patterns. This can facilitate targeted data collection and coastal\ monitoring activities\ when resources are scarce. Importantly, it can also be employed to illustrate more broadly how uncontrolled\ societal development, land use and historic building regulations might exacerbate flood impacts in low-lying urban areas. Notwithstanding the challenges that remain around\ simulation modelling and\ detection of\ environmental change, the results from our study suggest that RDM can be embedded within a DAPP framework to better plan for changing coastal flood risks.

}, keywords = {adaptation, Climate change, Inundation, Tipping point, uncertainty, Vulnerability}, doi = {https://doi.org/10.1016/j.compenvurbsys.2018.01.002}, url = {https://www.sciencedirect.com/science/article/pii/S0198971517304520}, author = {Timothy Ramm and Christopher Stephen Watson and Christopher J. White} } @mastersthesis {bnh-5391, title = {Improving adaptation planning for future sea level rise and coastal flooding}, year = {2018}, school = {University of Tasmania}, address = {Hobart}, abstract = {

Sea level rise has the potential to exacerbate coastal flooding around the world, causing more frequent extreme sea levels, nuisance flooding and permanent inundation. Projecting diverse physical, environmental and socio-economic impacts to coastal communities across multi-decadal timeframes is vital for informed adaptation planning. However, this is increasingly uncertain and challenged by conflicting stakeholder priorities.

This thesis develops an interdisciplinary approach to advance the planning of long-term adaptation pathways in the context of coastal flood risk management. Utilising three case studies in south-east Australia, it combines the strengths of robust decision making (RDM) and dynamic adaptive policy pathways (DAPP) {\textendash} both prominent tools to support decision-making under conditions of uncertainty {\textendash} together with solicited values-based information to make three novel advances towards flexible adaptation pathways planning.

First, this thesis combines the strengths of RDM and DAPP for planning adaptation pathways by using scenario discovery to provide a multi-dimensional description of adaptation tipping points. The scenario discovery process uses an existing cluster finding algorithm to identify future conditions where adaptation policies no longer keep flood risk at tolerable levels. Combining RDM and DAPP is a novel approach in coastal flood risk management and scenario discovery provides greater visibility on the physical factors driving adaptation tipping points. Second, values-based information is integrated into the adaptation planning process in an attempt to consider subjective social and cultural impacts from coastal flooding. In this regard, the novel combination and explanatory value of lived and landscape values is investigated. Consideration of these more intangible effects are often omitted in coastal adaptation planning but can contribute to more informed adaptation decisions. Third, the combined RDM and DAPP method developed uses both geographic information system (GIS) software and open source programming tools to analyse flood impacts. This improves the usability and relevance of a combined RDM and DAPP approach, enabling the efficient redeployment and customisation of the method to suit different location-specific needs. Such an approach also provides a lower cost entry point for local government agencies to begin planning coastal adaptation pathways.

Each of these advances combine to provide a framework that improves the way coastal adaptation pathways are planned and developed. The findings elucidated from the case studies show how a combined RDM and DAPP approach can account for spatial and temporal interactions between hazard, exposure and vulnerability flood risk factors, which improves the way robustness is measured for adaptation policy options. Values-based approaches can shape the selection of adaptation objectives, improve the design of options, support the evaluations of adaptation pathways and inform monitoring systems. The resultant adaptation pathways framework can support local government in planning sustainable strategies to manage long-term flood impacts. This has global applications for coastal flood risk management that will become increasingly important throughout the coming century.

}, keywords = {adaptation, Climate change, coastal flooding, decision-making, Planning, risk, sea level rise, uncertainty}, url = {https://eprints.utas.edu.au/29624/}, author = {Timothy Ramm} }