Thesis (M.A.G.)--Texas State University-San Marcos, 2004. / Vita. Appendices: leaves 269-302. Includes bibliographical references (leaves 303-318).

Thesis (M.A.G.)--Texas State University-San Marcos, 2004. / Vita. Appendices: leaves 269-302. Includes bibliographical references (leaves 303-318).

Thesis (M.S.)--University of North Carolina at Wilmington, 2005. / Includes bibliographical references (leaves: [70]-81)

Thesis (Ph. D.)--Oregon Graduate Institute of Science & Technology, 1996.

Thesis (M.S.)--University of California, Santa Cruz, 1995. / Typescript. Includes bibliographical references (leaves 126-130).

Thesis (Ph.D.) - University of Queensland, 2004. / Includes bibliography.

Thesis (Ph.D. (Zoology & Entomology)) - Rhodes University, 2007.

Thesis (M.S.)--University of West Florida, 2006. / Title from title page of source document. Document formatted into pages; contains 99 pages. Includes bibliographical references.

Στόχος της εργασίας ήταν η λιθοστρωματογραφική ανάλυση των ιζημάτων, η αναγνώρι- ση των Περιβαλλόντων Ιζηματογένεσης και η εξέλιξη τους στην πάροδο του χρόνου σε έναν τεκτονικά παραγόμενο ποταμόκολπο όπως ο Αμβρακικός κόλπος. / The subject of this study is the lithostratigraphic research and recognition of sedimentary environments of the sediments of Amvrakikos Gulf.

Adaptive water resource management requires sound scientific based decisions, emanating from robust scientific data. The Department of Environmental Affairs are mandated for collaborative management of the South African coast, including estuaries, through the Integrated Coastal Management Act (Act no 24 of 2008) (ICMA). The Department Water and Sanitation is mandated through the National Water Act (Act no 36 of 1998) (NWA) to design, test and implement monitoring programmes to provide water resource data. Extensive freshwater monitoring programmes exist in South Africa but there is no standard long-term monitoring programme for estuaries. This study designed and tested a National Estuarine Monitoring Programme (NESMP) that is anchored in the NWA and the ICMA. The design was based on a review of international estuary monitoring programmes, consultation with relevant role players and five decades experience in the design, testing and implementation of water resource monitoring programmes by DWS. The main objective of this thesis is 1) to design a national estuarine monitoring programme 2) test the design of the programme for practical implementation by reflecting on collected data from case studies, and 3) design a Decision Support System to translate complex monitoring data into management information. The main objective of the NESMP is 1) to collect long-term data to determine trends in the condition of estuaries in South Africa and 2) to provide management orientated information for effective estuary management. The National Estuary Monitoring programme consists of three tiers. Tier 1 focuses on basic data including system variables and nutrient data. Tier 2 collects data required for the determination of the Ecological Water Requirements (EWR) of estuaries in accordance with a standardised method used by DWS. A tailor made monitoring programme addressing specific issues including pollution incidents and localised development pressure, making use of a combination of Tier 1 and Tier 2 components, forms Tier 3 of the NESMP. This study tested the Tier 1 components of the programme on 28 estuaries across the South African coast since 2012. However, due to space constraints, the data reflected on in this thesis, is only for case studies on the Berg and Breede estuaries between 2012 and 2016. The results indicate that the establishment and operation of the NESMP on South African estuaries making use of monthly surveys, and the deployment of permanent water quality loggers, in line with the proposed protocol, are possible. This does however require collaboration with other role players in order to share responsibility and associated resources. A tiered management structure ensures national, regional and local level implementation takes place seamlessly. A decision support system (DSS) was also designed as part of this thesis to assist with data interpretation and the creation of management orientated information. This DSS includes a measurement of the percentage exceedance of the Threshold of Potential Concern (TPC), which acts as an early warning system for water resource deterioration. This study showed that effective collaboration will ensure the sustainability of the NESMP. Implementation of the more complex and resource intensive Tier 2 and Tier 3 sampling will however need to be investigated to establish the overall success of the NESMP.