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This thesis examines the development of sustainability indicator systems (SIS) as a tool to implement the concept of sustainability into fisheries management. This research focuses upon the identification and evolution of these systems, their application as a management tool, and their response to problems in fisheries sustainability. The thesis presents a series of ten case studies that outline differing approaches to developing SIS in marine capture fisheries. These national, regional and non government case studies provide an opportunity to strategically assess and evaluate the use of SIS in fisheries management. The United Nations Conference on Environment and Development in 1992 addressed sustainable development as a means to satisfy the needs of human societies within the constraints presented by natural systems. Over the last ten years, sustainable development has been adopted by local, regional, national, and international institutions and instruments. Implementing and operationalising the concept of sustainable development has, however, provided significant challenges. Marine capture fisheries witnessed rapid development in the second half of the 20th Century. As pressure increases on capture fisheries, it is important that measures are introduced to ensure sustainable use of such fisheries. These measures include methodologies and frameworks for the assessment and management of fisheries incorporating biological, environmental, economic and socio-political relationships - the core of sustainable development. This thesis examines the viability of sustainability indicators as a tool for assessing progress towards sustainability. Indicator systems have been implemented across a range of fisheries jurisdictions with varying degrees of success. In assessing SIS in practice, several key components were distilled from the case studies and the assessment framework. The research demonstrates that SIS are used in national environmental reporting and fisheries specific systems across a range of legal and policy contexts, can link directly to the fisheries management process, and focus at the scale of fishery operations. Target species indicators are well advanced in SIS practice, ecosystem indicators are being rapidly developed and tested, and socio-economic and governance indicators require further progress. In terms of addressing sustainability outcomes, SIS are shown to facilitate scientific and policy coordination, increase transparency, accountability and co-management, increase the participation of environmental and non-government organisations, and provide the structure to implement ecosystem based management and precautionary approaches. While some SIS have been successful in developing measurement frameworks, criteria, objectives and indicators and adapting to specific policy contexts, further progress is required in developing reporting protocols, visualisation tools and aggregation methods.

The human brain undergoes extensive and dynamic growth during the first years of life. The UNC/UMN Baby Connectome Project (BCP), one of the Lifespan Connectome Projects funded by NIH, is an ongoing study jointly conducted by investigators at the University of North Carolina at Chapel Hill and the University of Minnesota. The primary objective of the BCP is to characterize brain and behavioral development in typically developing infants across the first 5 years of life. The ultimate goals are to chart emerging patterns of structural and functional connectivity during this period, map brain-behavior associations, and establish a foundation from which to further explore trajectories of health and disease. To accomplish these goals, we are combining state of the art MRI acquisition and analysis techniques, including high-resolution structural MRI (T1-and T2-weighted images), diffusion imaging (dMRI), and resting state functional connectivity MRI (rfMRI). While the overall design of the BCP largely is built on the protocol developed by the Lifespan Human Connectome Project (HCP), given the unique age range of the BCP cohort, additional optimization of imaging parameters and consideration of an age appropriate battery of behavioral assessments were needed. Here we provide the overall study protocol, including approaches for subject recruitment, strategies for imaging typically developing children 0–5 years of age without sedation, imaging protocol and optimization, a description of the battery of behavioral assessments, and QA/QC procedures. Combining HCP inspired neuroimaging data with well-established behavioral assessments during this time period will yield an invaluable resource for the scientific community.

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