Modelling and Software as Instruments for Advancing Sustainability

Abstract

The complex and multidisciplinary nature of environmental problems requires that they are dealt with in an integrated manner. This is a challenging task for which modelling and software have become key instruments used to promote sustainability and improve environmental decision processes. This role can especially be one that facilitates systematic integration of various knowledge and data, that fosters learning and helps to make predictions. This book presents the current state of the art in environmental modelling and software and identifies the future challenges in the field. This opening chapter provides an introduction to the topic, the objectives of the book and an outline of its chapters. Modelling can perform a range of valuable roles, from being a process of sharing and structuring knowledge to providing a means of investigating tradeoffs or increasing system understanding. Without full appreciation of their limitations and capabilities, however, there is a risk of models being misused or their outputs misinterpreted. On the other hand, model uncertainty cannot be totally eliminated but it can be understood, communicated and managed. The common problems in modelling that must be understood by modellers and users, and approaches to address them are discussed in the first few chapters. This section of chapters highlights the need for better standards in modelling practice, appropriate handling of uncertainty and improvement of model usability. The next section of the book explores generic and sectoral issues in modelling in the context of the state of the art in modelling tools and approaches, and thereby identifies future research, development and practice needs. Challenges pervasive in various modelling fields include the need for more credible and purposeful models, for better uncertainty management and for more support of an open and collaborative modelling process. Overall a much stronger emphasis on the modelling and software process is warranted.