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Improving Teaching Effectiveness
RAND Corporation, in partnership with the American Institutes for Research, evaluated implementation of key elements of the Intensive Partnerships for Effective Teaching in three public school districts and four charter management organizations.
Stock Identification Methods
Stock Identification Methods provides a comprehensive review of the various disciplines used to study the population structure of fishery resources. It represents the worldwide experience and perspectives of experts on each method, assembled through a working group of the International Council for the Exploration of the Sea. The book is organized to foster interdisciplinary analyses and conclusions about stock structure, a crucial topic for fishery science and management. Technological advances have promoted the development of stock identification methods in many directions, resulting in a confusing variety of approaches. Based on central tenets of population biology and management needs, St...
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Ecosystem-Based Fisheries Management
"By examining a suite of over 90 indicators for nine major U.S. fishery ecosystem jurisdictions, Link and Marshak systematically track the progress the U.S. has made toward advancing ecosystem-based fisheries management (EBFM) and making it an operational reality. Covering a range of socioeconomic, governance, environmental forcing, major pressures, systems ecology, and fisheries criteria, they evaluate progress toward EBFM in the U.S., covering a wide range of longitude, latitude, and parts of major ocean basins, representing over 10% of the world’s ocean surface area. They view progress toward the implementation of EBFM as synonymous with improved management of living marine resources in general, and highlight lessons learned from a national perspective. Although US-centric, the lessons learned are applicable for all parts of the global ocean. Though much work remains, significant progress has been made to better address many of the challenges facing the sustainable management of our living marine resources"--Publisher's description.
Fish Reproductive Biology
Fish recruitment is a key process for maintaining sustainable fish populations. In the marine environment, fish recruitment is carried out in many different ways, all of which have different life history strategies. The objective of this book is to argue for greater linkages between basic and applied research on fisheries recruitment, and assessment and management of exploited fish stocks. Following an introductory chapter, this second edition of Fish Reproductive Biology is organized into 3 main sections: Biology, Population Dynamics and Recruitment Information Critical to Successful Assessment and Management Incorporation of Reproductive Biology and Recruitment Considerations into Management Advice and Strategies The authors collectively bring a wide range of diverse experience in areas of reproductive biology, fisheries oceanography, stock assessment, and management. Fully updated throughout, the book will be of great interest to a wide audience. It is useful as a textbook in graduate and undergraduate courses in fisheries biology, fisheries science, and fisheries resource management and will provide vital information for fish biologists, fisheries scientists and managers.
Automation, Communication and Cybernetics in Science and Engineering 2011/2012
The book is the follow-up to its predecessor “Automation, Communication and Cybernetics in Science and Engineering 2009/2010” and includes a representative selection of all scientific publications published between 07/2011 and 06/2012 in various books, journals and conference proceedings by the researchers of the following institute cluster: IMA - Institute of Information Management in Mechanical Engineering ZLW - Center for Learning and Knowledge Management IfU - Associated Institute for Management Cybernetics Faculty of Mechanical Engineering, RWTH Aachen University Innovative fields of application, such as cognitive systems, autonomous truck convoys, telemedicine, ontology engineering, knowledge and information management, learning models and technologies, organizational development and management cybernetics are presented.
