Abstract
Anthropogenic climate change is threatening species globally, resulting in significant loss of biodiversity and ecosystem services. As the impact of climate change is increasing, restoration practices, such as assisted adaptation, are necessary to halt further declines. Developing sound management plans depends crucially on understanding how resilient or vulnerable populations are. This thesis uses population genomic analysis to unravel processes supporting climate change resilience of kelp forests and identify the most vulnerable population. Results and methods presented here can be used to inform management strategies needed to guide kelp forests to a more sustainable outcome for future oceans.
Original language | English |
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Qualification | Doctor of Philosophy |
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Award date | 22 Sept 2022 |
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Publication status | Unpublished - 2022 |