@article {4356, title = {Intermediate tree cover can maximize groundwater recharge in the seasonally dry tropics}, journal = {Scientific Reports}, volume = {6}, year = {2016}, month = {Jan-04-2016}, doi = {10.1038/srep21930}, url = {http://www.nature.com/articles/srep21930http://www.nature.com/articles/srep21930.pdfhttp://www.nature.com/articles/srep21930.pdfhttp://www.nature.com/articles/srep21930}, author = {Ilstedt, U. and Bargu?s Tobella, A. and Bazi?, H. R. and Bayala, J. and Verbeeten, E. and Nyberg, G. and Sanou, J. and Benegas, L. and Murdiyarso, D. and Laudon, H. and Sheil, D. and Malmer, A.} } @inbook {1536, title = {Chapter Seven Integrated Modelling Frameworks for Environmental Assessment and Decision Support}, booktitle = {Developments in Integrated Environmental Assessment}, volume = {3}, year = {2008}, pages = {101-118}, publisher = { Elsevier}, organization = { Elsevier}, chapter = {7}, abstract = {

In this chapter we investigate the motivation behind the development of modelling frameworks that explicitly target the environmental domain. Despite many commercial and industrial-strength frameworks being available, we claim that there is a definite niche for environmental-specific frameworks. We first introduce a general definition of what is an environmental integrated modelling framework, leading to an outline of the requirements for a generic software architecture for such frameworks. This identifies the need for a knowledge layer to support the modelling layer and an experimentation layer to support the execution of models.

The chapter then focuses on the themes of knowledge representation, model management and model execution. We advocate that appropriate knowledge representation and management tools can facilitate model integration and linking. We stress that a model development process adhering to industry standards and good practices, called \“model engineering,\” is to be pursued. We focus on the requirements of the experimental frame, which can ensure transparency and traceability in the execution of simulation scenarios and optimisation problems associated with complex integrated assessment studies.

A promising trend for knowledge representation is the use of ontologies that have the capacity to elicit the meaning of knowledge in a manner that is logical, consistent and understandable by computers and the knowledge worker community. This new path in knowledge-based computing will support retention of institutional knowledge, while putting modelling back in the hands of modellers. Environmental modelling will then become a conceptual activity, focusing on model design rather than model implementation, with code generation being delegated to some degree to ontology-aware tools. In this respect, we envision the whole model lifecycle to change drastically, becoming more of a theoretical activity and less of a coding-intensive, highly engineering-oriented task.

}, keywords = {environmental integrated modelling frameworks, knowledge representation, model engineering, model management, modelling frameworks}, isbn = {9780080568867}, doi = {doi:10.1016/S1574-101X(08)00607-8}, author = {A. E. Rizzoli and G. Leavesley and J. C. Ascough II and R. M. Argent and I. N. Athanasiadis and V. Brilhante and F. H. A. Claeys and O. David and M. Donatelli and P. Gijsbers and D. Havlik and A. Kassahun and P. Krause and N. W. T. Quinn and H. Scholten and R. S. Sojda and F. Villa}, editor = {A. J. Jakeman and A. A. Voinov and A. E. Rizzoli and S. H. Chen} } @proceedings {1560, title = {CONCEPT MAPS FOR COMBINING HARD AND SOFT SYSTEM THINKING IN THE MANAGEMENT OF SOCIO-ECOSYSTEMS}, year = {2008}, url = {http://cmc.ihmc.us/cmc2008papers/cmc2008-p190.pdf}, author = {Franco Salerno and Emanuele Cuccillato and Robert Muetzelfeldt and Francesco Giannino and Birendra Bajracharya and Paolo Caroli and Gaetano Viviano and Anna Staiano and Fabrizio Carten{\`\i}, and Stefano Mazzoleni and Gianni Tartari} } @article {1535, title = {Semantic links in integrated modelling frameworks}, journal = {Mathematics and Computers in Simulation}, volume = {78}, year = {2008}, month = {07/2008}, pages = {412-423}, abstract = {

It is commonly accepted that modelling frameworks offer a powerful tool for modellers, researchers and decision makers, since they allow the management, re-use and integration of mathematical models from various disciplines and at different spatial and temporal scales. However, the actual re-usability of models depends on a number of factors such as the accessibility of the source code, the compatibility of different binary platforms, and often it is left to the modellers own discipline and responsibility to structure a complex model in such a way that it is decomposed in smaller re-usable sub-components. What reusable and interchangeable means is also somewhat vague; although several approaches to build modelling frameworks have been developed, little attention has been dedicated to the intrinsic re-usability of components, in particular between different modelling frameworks. In this paper, we focus on how models can be linked together to build complex integrated models. We stress that even if a model component interface is clear and reusable from a software standpoint, this is not a sufficient condition for reusing a component across different integrated modelling frameworks. This reveals the need for adding rich semantics in model interfaces.

}, keywords = {Integrated modelling frameworks, Model linking, Model reuse, Ontologies}, doi = {dx:10.1016/j.matcom.2008.01.017 }, author = {Andrea E. Rizzoli and Marcello Donatelli and Ioannis N. Athanasiadis and Ferdinando Villa and David Huber} } @book {2754, title = {Systems Science and Modeling for Ecological Economics}, year = {2008}, pages = {432}, publisher = {Academic Press}, organization = {Academic Press}, abstract = {

Modeling is a key component to sciences from mathematics to life science, including environmental and ecological studies. By looking at the underlying concepts of the software, we can make sure that we build mathematically feasible models and that we get the most out of the data and information that we have. This book shows how models can be analyzed using simple math and software to generate meaningful qualitative descriptions of system dynamics. This book shows that even without a full analytical, mathematically rigorous analysis of the equations, there may be ways to derive some qualitative understanding of general behavior of a system. By relating some of the modeling approaches and systems theory to real world examples the book illustrates how these approaches can help understand concepts such as sustainability, peak oil, adaptive management, optimal harvest and other practical applications.

* Relates modeling approaches and systems theory to real world examples
* Teaches students to build mathematically feasible models and get the most of our the data and information available
* Wide range of applications in hydrology, population dynamics, market cycles, sustainability theory, management, and more

}, isbn = {978-0123725837}, author = {Alexey A. Voinov} } @book {1583, title = {Realizing Community Futures: A Practical Guide to Harnessing Natural Resources}, year = {2006}, publisher = {EarthScan}, organization = {EarthScan}, abstract = {

Through an easy-to-read narrative style and using real examples from Africa and Asia, this revolutionary book--part argument for the limitless power of human imagination and part practical manual for turning visions into reality--explains how to use a process of participatory modelling\" to structure people\’s learning and understanding of the natural systems they depend upon and how this can lead to better social and environmental outcomes.

}, isbn = {978-1844073849}, url = {http://www.cifor.cgiar.org/realizingfutures/_ref/home/index.htm}, author = {Jerry Vanclay and Ravi Prabhu and Fergus Sinclair} }