00835nas a2200241 4500008004100000245009200041210006900133260001600202490000600218100001600224700002100240700001800261700001500279700001800294700001500312700001400327700001600341700001900357700001500376700001400391700001500405856017300420 2016 eng d00aIntermediate tree cover can maximize groundwater recharge in the seasonally dry tropics0 aIntermediate tree cover can maximize groundwater recharge in the cJan-04-20160 v61 aIlstedt, U.1 aTobella, Bargu?s1 aBazi?, H., R.1 aBayala, J.1 aVerbeeten, E.1 aNyberg, G.1 aSanou, J.1 aBenegas, L.1 aMurdiyarso, D.1 aLaudon, H.1 aSheil, D.1 aMalmer, A. uhttp://www.nature.com/articles/srep21930http://www.nature.com/articles/srep21930.pdfhttp://www.nature.com/articles/srep21930.pdfhttp://www.nature.com/articles/srep2193003363nas a2200445 4500008003900000020001800039245010000057210006900157260001400226300001200240490000600252520204200258653005002300653002902350653002202379653002102401653002502422100001702447700001702464700002102481700001602502700002202518700001702540700001802557700001302575700001702588700001602605700001402621700001602635700001402651700001702665700001602682700001502698700001302713700001702726700001602743700001702759700001402776856012702790 2008 d a978008056886700aChapter Seven Integrated Modelling Frameworks for Environmental Assessment and Decision Support0 aChapter Seven Integrated Modelling Frameworks for Environmental  b Elsevier a101-1180 v33 a

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.

10aenvironmental integrated modelling frameworks10aknowledge representation10amodel engineering10amodel management10amodelling frameworks1 aRizzoli, A E1 aLeavesley, G1 aII, Ascough, J C1 aArgent, R M1 aAthanasiadis, I N1 aBrilhante, V1 aClaeys, F H A1 aDavid, O1 aDonatelli, M1 aGijsbers, P1 aHavlik, D1 aKassahun, A1 aKrause, P1 aQuinn, N W T1 aScholten, H1 aSojda, R S1 aVilla, F1 aJakeman, A J1 aVoinov, A A1 aRizzoli, A E1 aChen, S H u//www.simulistics.com/publications/chapter-seven-integrated-modelling-frameworks-environmental-assessment-and-decision-sup00709nas a2200205 4500008003900000245009900039210006900138100002000207700002500227700002500252700002400277700002600301700001800327700002100345700001800366700002200384700002300406700002000429856005400449 2008 d00aCONCEPT MAPS FOR COMBINING HARD AND SOFT SYSTEM THINKING IN THE MANAGEMENT OF SOCIO-ECOSYSTEMS0 aCONCEPT MAPS FOR COMBINING HARD AND SOFT SYSTEM THINKING IN THE 1 aSalerno, Franco1 aCuccillato, Emanuele1 aMuetzelfeldt, Robert1 aGiannino, Francesco1 aBajracharya, Birendra1 aCaroli, Paolo1 aViviano, Gaetano1 aStaiano, Anna1 aFabrizio Cartenì1 aMazzoleni, Stefano1 aTartari, Gianni uhttp://cmc.ihmc.us/cmc2008papers/cmc2008-p190.pdf01972nas a2200229 4500008003900000245005400039210005400093260001200147300001200159490000700171520127800178653003601456653001801492653001601510653001501526100002301541700002401564700002901588700002201617700001701639856008601656 2008 d00aSemantic links in integrated modelling frameworks0 aSemantic links in integrated modelling frameworks c07/2008 a412-4230 v783 a

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.

10aIntegrated modelling frameworks10aModel linking10aModel reuse10aOntologies1 aRizzoli, Andrea, E1 aDonatelli, Marcello1 aAthanasiadis, Ioannis, N1 aVilla, Ferdinando1 aHuber, David u//www.simulistics.com/publications/semantic-links-integrated-modelling-frameworks01761nam a2200133 4500008003900000020001900039245005800058210005800116260001900174300000800193520131500201100002201516856008901538 2008 d a978-012372583700aSystems Science and Modeling for Ecological Economics0 aSystems Science and Modeling for Ecological Economics bAcademic Press a4323 a

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

1 aVoinov, Alexey, A u//www.simulistics.com/publications/systems-science-and-modeling-ecological-economics00961nam a2200145 4500008003900000020001900039245008300058210006900141260001400210520046600224100001900690700001700709700002100726856006800747 2006 d a978-184407384900aRealizing Community Futures: A Practical Guide to Harnessing Natural Resources0 aRealizing Community Futures A Practical Guide to Harnessing Natu bEarthScan3 a

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.

1 aVanclay, Jerry1 aPrabhu, Ravi1 aSinclair, Fergus uhttp://www.cifor.cgiar.org/realizingfutures/_ref/home/index.htm