University of South Carolina publications. Series 3. Biology. V.1 No.5

This publication is volume 1, issue 5 of the University of South Carolina Publications. Series III. Biology. on taxonomic studies of the flora and fauna of South Carolina.

University of South Carolina publications. Series 3. Biology. V.2 No.1

This publication is volume 2, issue 1 of the University of South Carolina Publications. Series III. Biology. on taxonomic studies of the flora and fauna of South Carolina.

University of South Carolina publications. Series 3. Biology. V.2 No.2

This publication is volume 2, issue 2 of the University of South Carolina Publications. Series III. Biology. on taxonomic studies of the flora and fauna of South Carolina.

University of South Carolina publications. Series 3. Biology. V.2 No.4

This publication is volume 2, issue 4 of the University of South Carolina Publications. Series III. Biology. on taxonomic studies of the flora and fauna of South Carolina.

University of South Carolina publications. Series 3. Biology. V.1 No.4

This publication is volume 1, issue 4 of the University of South Carolina Publications. Series III. Biology. on taxonomic studies of the flora and fauna of South Carolina.

University of South Carolina publications. Series 3. Biology. V.2 No.3

This publication is volume 2, issue 3 of the University of South Carolina Publications. Series III. Biology. on taxonomic studies of the flora and fauna of South Carolina.

University of South Carolina publications. Series 3. Biology. V.3 No.1

This publication is volume 3, issue 1 of the University of South Carolina Publications. Series III. Biology. on taxonomic studies of the flora and fauna of South Carolina.

Going Coastal in South Carolina

Get all the information you need to enhance your coastal experience from one dynamic web page. Coastal environment: rip currents and beach advisories, weather and ozone forecast, tide tables and boating safety, fishing and shellfish harvesting, preservation and conservation and much more.

Enriching relationships : community engagment toward sustainable coastal futures

Coastal communities face the social, cultural and environmental challenges of managing rapid urban and industrial development, expanding tourism, and sensitive ecological environments. Enriching relationships between communities and universities through a structured engagement process can deliver integrated options towards sustainable coastal futures. This process draws on the embedded knowledge and values of all participants in the relationship, and offers a wide and affordable range of options for the future. This paper reviews lessons learnt from two projects with coastal communities, and discusses their application in a third. Queensland University of Technology has formed collaborative partnerships with industry in Queensland's Wide Bay-Burnett region to undertake a series of planning and design projects with community engagement as a central process. Senior students worked with community and produced design and planning drawings and reports outlining future options for project areas. A reflective approach has been adopted by the authors to assess the engagement process and outcomes of each project to learn lessons to apply in the next. Methods include surveying community and student participants regarding the value they place on process and outcomes respectively in planning for a sustainable future. All project participants surveyed have placed high importance on the process of engagement, emphasising the value of developing relationships between all project partners. The quality of these relationships is central to planning for sustainable futures, and while the outcomes the students deliver are valued, it is as much for their catalytic role as for their contents. Design and planning projects through community engagement have been found to develop innovative responses to the challenges faced by coastal communities seeking direction toward sustainable futures. The enrichment of engagement relationships and processes has an important influence on the quality of these design and planning responses.

Wireless mobility usage: a preliminary study for management in two Australian university settings

Wireless Mobility Usage: A Preliminary Qualitative Study for Management in Two Australian University Settings, Neville Meyers, Heather Gray, Greg Hearn, Louis Sanzogni, and Sandra Lawrence.

Design and implementation of sensor networks for the observation and research of harmful algal blooms in southern California coastal waters

Harmful Algal Blooms (HABs) have become an important environmental concern along the western coast of the United States. Toxic and noxious blooms adversely impact the economies of coastal communities in the region, pose risks to human health, and cause mortality events that have resulted in the deaths of thousands of fish, marine mammals and seabirds. One goal of field-based research efforts on this topic is the development of predictive models of HABs that would enable rapid response, mitigation and ultimately prevention of these events. In turn, these objectives are predicated on understanding the environmental conditions that stimulate these transient phenomena. An embedded sensor network (Fig. 1), under development in the San Pedro Shelf region off the Southern California coast, is providing tools for acquiring chemical, physical and biological data at high temporal and spatial resolution to help document the emergence and persistence of HAB events, supporting the design and testing of predictive models, and providing contextual information for experimental studies designed to reveal the environmental conditions promoting HABs. The sensor platforms contained within this network include pier-based sensor arrays, ocean moorings, HF radar stations, along with mobile sensor nodes in the form of surface and subsurface autonomous vehicles. FreewaveTM radio modems facilitate network communication and form a minimally-intrusive, wireless communication infrastructure throughout the Southern California coastal region, allowing rapid and cost-effective data transfer. An emerging focus of this project is the incorporation of a predictive ocean model that assimilates near-real time, in situ data from deployed Autonomous Underwater Vehicles (AUVs). The model then assimilates the data to increase the skill of both nowcasts and forecasts, thus providing insight into bloom initiation as well as the movement of blooms or other oceanic features of interest (e.g., thermoclines, fronts, river discharge, etc.). From these predictions, deployed mobile sensors can be tasked to track a designated feature. This focus has led to the creation of a technology chain in which algorithms are being implemented for the innovative trajectory design for AUVs. Such intelligent mission planning is required to maneuver a vehicle to precise depths and locations that are the sites of active blooms, or physical/chemical features that might be sources of bloom initiation or persistence. The embedded network yields high-resolution, temporal and spatial measurements of pertinent environmental parameters and resulting biology (see Fig. 1). Supplementing this with ocean current information and remotely sensed imagery and meteorological data, we obtain a comprehensive foundation for developing a fundamental understanding of HAB events. This then directs labor- intensive and costly sampling efforts and analyses. Additionally, we provide coastal municipalities, managers and state agencies with detailed information to aid their efforts in providing responsible environmental stewardship of their coastal waters.