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Synthesis of the results of may years of research on Estuarine environments form the Murchison to Esperance, Western Australia.
Social Learning in Environmental Management explores and expands the approaches to collective learning most needed to help individuals, communities, experts and governments work together to achieve greater social and ecological sustainability. It provides practical frameworks and case studies to assist environmental managers in building partnerships that can support learning and action on issues arising from human impacts on the life-support systems of our planet. In this book, social learning frameworks and case studies address the three areas of collaboration, community, government and professional, in some detail. The resulting guidelines and their practical applications provide key source material for undergraduate and postgraduate professional education in the fields of social and environmental sciences, political science, planning, geography and urban studies, and also for professionals in environmental management.
Illustrates the principles underlying the integration of trees into landscapes for environmental and productive purposes.
Foresters and natural resource managers must balance conflicting objectives when developing land-management plans. Conflicts may encompass economic, environmental, social, cultural, technical, and aesthetic objectives. Selecting the best combination of management uses from numerous objectives is difficult and challenging. Multi-Criteria Decision Models (MCDM) provide a systematic means for comparing tradeoffs and selecting alternatives that best satisfy the decisionmakergass objectives. In recent years, the use of MCDM in forestry and natural resources management has generated a substantial body of literature. This annotated bibliography includes 124 important references ranging from theoretical studies to real-world applications of MCDM.