title: The impacts of climate change on the people of Vatukarasa and Sovi Bay, Viti Levu, Fiji.

authors: Nur, Ali

abstract: Abstract Climate change is one of the biggest threats facing communities around the globe in the 21st Century. Small island developing states, including all Pacific Island Countries, are often represented as being among the countries that are most exposed to its effects. This thesis seeks to better understand the impacts of climate change on two coastal communities, Vatukarasa and Sovi Bay, on the south coast of Viti Levu, the main island of Fiji. These two communities are composed of iTaukei (indigenous Fijians) and Indo-Fijians, respectively. They share a number of current and likely future problems caused by climate change although there are some differences in their levels or types of exposure reflecting different cultural backgrounds, livelihood strategies and social networks. The effects of climate change are holding back the development aspirations of the communities, a process that is likely to worsen in the years ahead. Developing sustainable and effective adaptation strategies will need to consider both the commonalities between the two communities and the differences. Some contemporary resource management practices also contribute to the environmental degradation caused by climate change and changing these is already recognised by community members as important first steps towards adapting to climate change effects. The thesis explores the potential for traditional knowledge to be embraced in adaptation that is community-based. It also recognises that some adaptation options are likely to be expensive and beyond the financial capacities of the communities without some forms of external assistance, from local and national government sources as well as the international community.

text: The impacts of climate change on the people of Vatukarasa and Sovi Bay, Viti Levu, Fiji. Abstract Climate change is one of the biggest threats facing communities around the globe in the 21st Century. Small island developing states, including all Pacific Island Countries, are often represented as being among the countries that are most exposed to its effects. This thesis seeks to better understand the impacts of climate change on two coastal communities, Vatukarasa and Sovi Bay, on the south coast of Viti Levu, the main island of Fiji. These two communities are composed of iTaukei (indigenous Fijians) and Indo-Fijians, respectively. They share a number of current and likely future problems caused by climate change although there are some differences in their levels or types of exposure reflecting different cultural backgrounds, livelihood strategies and social networks. The effects of climate change are holding back the development aspirations of the communities, a process that is likely to worsen in the years ahead. Developing sustainable and effective adaptation strategies will need to consider both the commonalities between the two communities and the differences. Some contemporary resource management practices also contribute to the environmental degradation caused by climate change and changing these is already recognised by community members as important first steps towards adapting to climate change effects. The thesis explores the potential for traditional knowledge to be embraced in adaptation that is community-based. It also recognises that some adaptation options are likely to be expensive and beyond the financial capacities of the communities without some forms of external assistance, from local and national government sources as well as the international community.

year: 2021

title: Neural networks for predicting the output of wind flow simulations over complex topographies

authors: Mayo, Michael

subjects: computer science

abstract: We use deep learning techniques to model computational fluid dynamics (CFD) simulations of wind flow over a complex topography. Our motivation is to "speed up" the optimisation of CFD-based simulations (such as the 3D wind farm layout optimisation problem) by developing surrogate models capable of predicting the output of a simulation at any given point in 3D space, given output from a set of training simulations that have already been run. Our promising results using TensorFlow show that deep neural networks can be learned to model CFD outputs with an error of as low as 2.5 meters per second.

text: Neural networks for predicting the output of wind flow simulations over complex topographies We use deep learning techniques to model computational fluid dynamics (CFD) simulations of wind flow over a complex topography. Our motivation is to "speed up" the optimisation of CFD-based simulations (such as the 3D wind farm layout optimisation problem) by developing surrogate models capable of predicting the output of a simulation at any given point in 3D space, given output from a set of training simulations that have already been run. Our promising results using TensorFlow show that deep neural networks can be learned to model CFD outputs with an error of as low as 2.5 meters per second.

year: 2018

title: Māori beekeepers: Reframing New Zealand’s apiculture narratives

authors: Dimitrov, Dara

abstract: New Zealand’s historical apiculture narratives are dominated by the colonial settlers' experiences of beekeeping, which marginalised Māori experiences.  This has perpetuated the notion that historically, Maori had little to do with beekeeping.  However, this article contests this notion and demonstrates that after the introduction of the western honeybee, Māori were active participants in the apiculture industry, both as traders and beekeepers.  Moreover, this article explores the current contributions that Māori beekeepers make to New Zealand’s apiculture industry but continue to be ignored by the apiculture industry.  Despite this, this article shows that Māori beekeepers are making important contributions in the apiculture research space, working with researchers and research institutions to explore climate change impacts, floral honey diversity in the native forests and aspects of honeybee colony health.

text: Māori beekeepers: Reframing New Zealand’s apiculture narratives New Zealand’s historical apiculture narratives are dominated by the colonial settlers' experiences of beekeeping, which marginalised Māori experiences.  This has perpetuated the notion that historically, Maori had little to do with beekeeping.  However, this article contests this notion and demonstrates that after the introduction of the western honeybee, Māori were active participants in the apiculture industry, both as traders and beekeepers.  Moreover, this article explores the current contributions that Māori beekeepers make to New Zealand’s apiculture industry but continue to be ignored by the apiculture industry.  Despite this, this article shows that Māori beekeepers are making important contributions in the apiculture research space, working with researchers and research institutions to explore climate change impacts, floral honey diversity in the native forests and aspects of honeybee colony health.

year: 2024