Glycans play essential roles in diverse biological and etiological processes and their structural complexity endow various functions. The glycome is the entire set of glycans produced by an individual organism. As the glycan microarray emerged, a good amount of knowledge has been obtained in understanding the functions of glycans. However, limited accessibility of glycans is a major obstacle to the functional glycomics study. Although isolation from biology samples provided some structures, the low abundance of glycans obtained and the difficulty in complete structural assignment restricted the subsequent assay. To circumvent this limitation, many synthetic strategies, including chemical, enzymatic and chemo-enzymatic ones have been developed to make libraries of structurally defined complex glycans available. The glycans provided by these techniques combined with high-throughput glycoarray techniques have broadened and deepened our understanding about functional glycomics. The aim of this book is to provide a comprehensive review of the current state of the synthetic glycome and a brief introduction of the application of the synthetic glycome in glycoarray assay. Accordingly, synthetic strategies toward generating glycans with comprehensive structures as well as the glycoarrays to unveil the glycan functions are described in this book.

Global warming and population growth have resulted in an increase in the intensity of natural and anthropogenic stressors. Investigating the complex nature of environmental problems requires the integration of different environmental processes across major components of the environment, including water, climate, ecology, air, and land. Cumulative effects assessment (CEA) not only includes analyzing and modeling environmental changes, but also supports planning alternatives that promote environmental monitoring and management. Disjointed and narrowly focused environmental management approaches have proved dissatisfactory. The adoption of integrated modelling approaches has sparked interests in the development of frameworks which may be used to investigate the processes of individual environmental component and the ways they interact with each other. Integrated modelling systems and frameworks are often the only way to take into account the important environmental processes and interactions, relevant spatial and temporal scales, and feedback mechanisms of complex systems for CEA. This book examines the ways in which interactions and relationships between environmental components are understood, paying special attention to climate, land, water quantity and quality, and both anthropogenic and natural stressors. It reviews modelling approaches for each component and reviews existing integrated modelling systems for CEA. Finally, it proposes an integrated modelling framework and provides perspectives on future research avenues for cumulative effects assessment.

Global warming and population growth have resulted in an increase in the intensity of natural and anthropogenic stressors. Investigating the complex nature of environmental problems requires the integration of different environmental processes across major components of the environment, including water, climate, ecology, air, and land. Cumulative effects assessment (CEA) not only includes analyzing and modeling environmental changes, but also supports planning alternatives that promote environmental monitoring and management.Disjointed and narrowly focused environmental management approaches have proved dissatisfactory. The adoption of integrated modelling approaches has sparked interests in the development of frameworks which may be used to investigate the processes of individual environmental component and the ways they interact with each other. Integrated modelling systems and frameworks are often the only way to take into account the important environmental processes and interactions, relevant spatial and temporal scales, and feedback mechanisms of complex systems for CEA. This book examines the ways in which interactions and relationships between environmental components are understood, paying special attention to climate, land, water quantity and quality, and both anthropogenic and natural stressors. It reviews modelling approaches for each component and reviews existing integrated modelling systems for CEA. Finally, it proposes an integrated modelling framework and provides perspectives on future research avenues for cumulative effects assessment.