02843nas a2200217 4500008004100000022001300041245010100054210006900155260001600224300001400240490000800254520196400262100001902226700002402245700002602269700002802295700002302323700002002346700002602366856023302392 2018 eng d a0048969700aShifts in wind energy potential following land-use driven vegetation dynamics in complex terrain0 aShifts in wind energy potential following landuse driven vegetat cJan-10-2018 a374 - 3840 v6393 a

Many mountainous regions with high wind energy potential are characterized by multi-scale variabilities of vegetation in both spatial and time dimensions, which strongly affect the spatial distribution of wind resource and its time evolution. To this end, we developed a coupled interdisciplinary modeling framework capable of assessing the shifts in wind energy potential following land-use driven vegetation dynamics in complex mountain terrain. It was applied to a case study area in the Romanian Carpathians. The results show that the overall shifts in wind energy potential following the changes of vegetation pattern due to different land-use policies can be dramatic. This suggests that the planning of wind energy project should be integrated with the land-use planning at a specific site to ensure that the expected energy production of the planned wind farm can be reached over its entire lifetime. Moreover, the changes in the spatial distribution of wind and turbulence under different scenarios of land-use are complex, and they must be taken into account in the micro-siting of wind turbines to maximize wind energy production and minimize fatigue loads (and associated maintenance costs). The proposed new modeling framework offers, for the first time, a powerful tool for assessing long-term variability in local wind energy potential that emerges from land-use change driven vegetation dynamics over complex terrain. Following a previously unexplored pathway of cause-effect relationships, it demonstrates a new linkage of agro- and forest policies in landscape development with an ultimate trade-off between renewable energy production and biodiversity targets. Moreover, it can be extended to study the potential effects of micro-climatic changes associated with wind farms on vegetation development (growth and patterning), which could in turn have a long-term feedback effect on wind resource distribution in mountainous regions.

1 aFang, Jiannong1 aPeringer, Alexander1 aStupariu, Mihai-Sorin1 aPătru-Stupariu, Ileana1 aButtler, Alexandre1 aGolay, Francois1 aPorté-Agel, Fernando uhttps://linkinghub.elsevier.com/retrieve/pii/S0048969718317182https://api.elsevier.com/content/article/PII:S0048969718317182?httpAccept=text/xmlhttps://api.elsevier.com/content/article/PII:S0048969718317182?httpAccept=text/plain01899nas a2200157 4500008003900000245009200039210006900131260001200200300001400212520131800226100002201544700002101566700001901587700001501606856012001621 2014 d00aStorm-induced changes in coastal geomorphology control estuarine secondary productivity0 aStorminduced changes in coastal geomorphology control estuarine  c01/2014 an/a - n/a3 aEstuarine ecosystems are highly sensitive not only to projected effects of climate change such as ocean warming, acidification, and sea-level rise but also to the incidence of nor'easter storms and hurricanes. The effects of storms and hurricanes can be extreme, with immediate impact on coastal geomorphology and water circulation, which is integral to estuarine function and consequently to provision of ecosystem services. In this article, we present the results of a natural estuarine-scale experiment on the effects of changes in coastal geomorphology on hydrodynamics and aquaculture production. A bay in Prince Edward Island, Canada, was altered when a nor'easter storm eroded a second tidal inlet through a barrier island. Previous field and modeling studies allowed a comparison of prestorm and post-storm circulation, food limitation by cultured mussels, and aquaculture harvest. Dramatic increases in mussel production occurred in the year following the opening of the new inlet. Model studies showed that post-storm circulation reduced food limitation for cultured mussels, allowing greater growth. Climate change is expected to have severe effects on the delivery of marine ecosystem services to human populations by changing the underlying physical-biological coupling inherent to their functioning.1 aFilgueira, Ramón1 aGuyondet, Thomas1 aComeau, Luc, A1 aGrant, Jon uhttp://onlinelibrary.wiley.com/doi/10.1002/2013EF000145/abstract;jsessionid=DBD0FB7B2443BD9C9D658F85A42F41FD.f04t0400675nas a2200145 4500008004100000022001300041245009300054210006900147260001600216300001100232490000800243100002500251700002000276856023300296 2011 eng d a0022169400aSpatiotemporal dynamics of landscape pattern and hydrologic process in watershed systems0 aSpatiotemporal dynamics of landscape pattern and hydrologic proc cJan-06-2011 a1 - 120 v4041 aRandhir, Timothy, O.1 aTsvetkova, Olga uhttps://linkinghub.elsevier.com/retrieve/pii/S0022169411001880https://api.elsevier.com/content/article/PII:S0022169411001880?httpAccept=text/xmlhttps://api.elsevier.com/content/article/PII:S0022169411001880?httpAccept=text/plain01972nas 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-frameworks01479nas a2200121 4500008003900000245007700039210006900116300000700185490000700192520102900199100002201228856010701250 2008 d00aA spatiotemporal model of shifting cultivation and forest cover dynamics0 aspatiotemporal model of shifting cultivation and forest cover dy a280 v133 a

Sustainable use of humid forest resources as a source of fertile land for cultivation requires long periods of fallow and the ability to move the zone of active cultivation from one location to another over time. At the individual field level, shifting cultivation is essentially a resource extraction problem akin to a pulse fishery – a short period of intensive use of the stock of soil fertility followed by a long idle period permitting regeneration. This paper describes a spatiotemporal model of resource extraction adapted to the use of forest resources by shifting cultivators. Theoretically grounded in the spatial and household modelling literature, it is a structural simulation model of household decision-making, and includes a demonstration of the conceptwith a limited data set from southern Cameroon. Use of a stated preference approach to modelling decision-making identifies individual preferences and spatial path-dependency as important sources of shortened fallows and resource degradation.

1 aBrown, Douglas, R u//www.simulistics.com/publications/spatiotemporal-model-shifting-cultivation-and-forest-cover-dynamics00614nas a2200157 4500008003900000245011000039210006900149260001500218653002000233653002600253653001500279653003000294653001800324100004500342856006900387 2008 d00aSystem Dynamics Modelling: A Tool for Participatory Simulation of Complex Water Systems within AquaStress0 aSystem Dynamics Modelling A Tool for Participatory Simulation of c07/07/200810aDecision making10aParticipatory process10aSimulation10aSystem Dynamics Modelling10aWater Systems1 aL. S. Vamvakeridou-Lyroudiaa, Savic, D A uhttp://centres.exeter.ac.uk/cws/downloads/cat_view/43-aquastress01761nam 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-economics01575nas a2200217 4500008003900000245012600039210006900165300001200234490000800246520073600254653001100990653004101001653001501042653003101057653001801088653003901106653001101145653001101156100006301167856012701230 2006 d00aSpatially-explicit competition indices and the analysis of mixed-species plantings with the Simile modelling environment 0 aSpatiallyexplicit competition indices and the analysis of mixeds a295-3020 v2333 a

Individual-based modelling and analysis of forest experiments has been made more accessible to researchers with the advent of modelling environments like Simile from www.simulistics.com. Individual-based analyses of tree growth data offer insights not possible with plot-based analyses, especially when the original experimental design has been compromised by mortality or other unforeseen events. The paper illustrates how Simile can be used for individual-based analyses of mixed plantings, and how it can be used to explore the consequences of the resulting statistical models. A mixed-species planting of Eucalyptus pellita and Acacia peregrina is used to illustrate possibilities.

10aAcacia10aDistance-dependent competition index10aEucalyptus10aIndividual-based modelling10aMixed-species10aPowersim; Stella; Systems dynamics10aSimile10aVensim1 aInformation, Jerome VanclayCorresponding Author Contact, K u//www.simulistics.com/publications/spatially-explicit-competition-indices-and-analysis-mixed-species-plantings-simile-mode01878nas a2200181 4500008003900000245004500039210004000084300001300124490000700137520137300144653002601517653001401543653002601557653001101583100002201594700001701616856006301633 2003 d00aThe Simile visual modelling environment.0 aSimile visual modelling environment a345-358 0 v183 a

Simile is a visual modelling environment that has been developed to overcome the problems involved in implementing agro-ecological simulation models using conventional programming languages: problems such as the effort and skill needed to program the models, the lack of transparency in models implemented as programs, and the lack of reuseability of models and submodels. It combines the familiar System Dynamics (compartment-flow) paradigm with an object-based paradigm, allowing many forms of disaggregation to be handled, as well as spatial modelling and individual-based modelling. Its visual modelling interface makes it accessible to non-programmers, at the same time allowing models to be largely self-documenting. Models can be run very efficiently as compiled C++ programs, and users can develop new visualisation tools for displaying model results. Simile has been used in international research programmes, including the modelling of Mediterranean vegetation dynamics and modelling the interaction between households and land at the forest margin in developing countries. Simile has been developed in a spirit of open standards for model sharing. Models are saved as a text file in a structured format, with a view to enable model sharing with other modelling environments and to encourage others to develop additional tools for working with models.

10aDeclarative modelling10aModelling10aModelling environment10aSimile1 aMuetzelfeldt, R I1 aMassheder, J uhttp://www.simulistics.com/files/documents/SimilePaper.pdf