Bøger i Developments in Environmental Modelling serien

Describes and discusses the numerical methods which are successfully being used for analysing ecological data, using a clear and comprehensive approach. This book on quantitative analysis of multivariate ecological data relates ecological questions to methods of statistical analysis, with a description of complex numerical methods.

Ecological modelling has developed rapidly in recent decades, with the focus primarily on the restoration of lakes and wetlands. Ecological Modelling and Engineering in Lakes and Wetlands presents the progress being made in modelling for a wealth of applications. It covers the older biogeochemical models still in use today, structurally dynamic models, 3D models, biophysical models, entire watershed models, and ecotoxicological models, as well as the expansion of modeling to the Arctic and Antarctic climate-zones. The book also addresses modelling the effect of climate change, including the development of ecological models for addressing storm water pond issues, which are increasingly important in urban regions where more concentrated rainfalls are a consequence of climate change. The ecological engineering topics covered in the book also emphasize the advancements being made in applying ecological engineering regimes for better environmental management of lakes and wetlands. Examines recent progress towards a better understanding of these two important ecosystemsPresents new results and approaches that can be used to develop better modelsDiscusses how to increase the synergistic effect between ecosystems engineering and modelling

Advanced Modelling Techniques Studying Global Changes in Environmental Sciences discusses the need for immediate and effective action, guided by a scientific understanding of ecosystem function, to alleviate current pressures on the environment. Research, especially in Ecological Modeling, is crucial to support the sustainable development paradigm, in which the economy, society, and the environment are integrated and positively reinforce each other. Content from this book is drawn from the 2013 conference of the International Society for Ecological Modeling (ISEM), an important and active research community contributing to this arena. Some progress towards gaining a better understanding of the processes of global change has been achieved, but much more is needed. This conference provides a forum to present current research using models to investigate actions towards mitigating and adapting to change. Presents state-of-the-art modeling techniquesDrawn from the 2013 conference of the International Society for Ecological Modeling (ISEM), an important and active research community contributing to this arena Integrates knowledge of advanced modeling techniques in ecological and environmental sciencesDescribes new applications for sustainability

Presents an introduction to ecological modelling. This title explains the concepts and processes involved in ecological modelling, presents the developments in the field and provides readers with the tools to construct their own models.

The Water-Energy-Food Nexus: Optimization Models for Decision Making, Volume 32 covers water, energy, and food as crucial resources for human well-being and sustainable development. These resources are inextricably interrelated, therefore, to cover water, energy, and food demands in different sectors and at different scales, it must be considered several sources to produce resources, and the interlinkages of resources for a proper integration must be considered. This book emphasizes issues that must be considered in the design of water-energy-food nexus systems, such as the selection of technologies to produce water or energy, size of technologies, and food required for nutritional demands. In addition, mathematical models are presented for the design of water-energy-food nexus systems involving several strategies to account for issues such as sustainable development, security of resources, interest in conflicts from stakeholders, and efficient allocation of resources.