<?xml version="1.0" encoding="UTF-8"?><xml><records><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Fang, Jiannong</style></author><author><style face="normal" font="default" size="100%">Peringer, Alexander</style></author><author><style face="normal" font="default" size="100%">Stupariu, Mihai-Sorin</style></author><author><style face="normal" font="default" size="100%">Pătru-Stupariu, Ileana</style></author><author><style face="normal" font="default" size="100%">Buttler, Alexandre</style></author><author><style face="normal" font="default" size="100%">Golay, Francois</style></author><author><style face="normal" font="default" size="100%">Porté-Agel, Fernando</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Shifts in wind energy potential following land-use driven vegetation dynamics in complex terrain</style></title><secondary-title><style face="normal" font="default" size="100%">Science of The Total Environment</style></secondary-title><short-title><style face="normal" font="default" size="100%">Science of The Total Environment</style></short-title></titles><dates><year><style  face="normal" font="default" size="100%">2018</style></year><pub-dates><date><style  face="normal" font="default" size="100%">Jan-10-2018</style></date></pub-dates></dates><urls><web-urls><url><style face="normal" font="default" size="100%">https://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/plain</style></url></web-urls></urls><volume><style face="normal" font="default" size="100%">639</style></volume><pages><style face="normal" font="default" size="100%">374 - 384</style></pages><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">&lt;p&gt;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.&lt;/p&gt;
</style></abstract></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Ramón Filgueira</style></author><author><style face="normal" font="default" size="100%">Guyondet, Thomas</style></author><author><style face="normal" font="default" size="100%">Comeau, Luc A.</style></author><author><style face="normal" font="default" size="100%">Jon Grant</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Storm-induced changes in coastal geomorphology control estuarine secondary productivity</style></title><secondary-title><style face="normal" font="default" size="100%">Earth&#039;s Future</style></secondary-title><short-title><style face="normal" font="default" size="100%">Earth&#039;s Future</style></short-title></titles><dates><year><style  face="normal" font="default" size="100%">2014</style></year><pub-dates><date><style  face="normal" font="default" size="100%">01/2014</style></date></pub-dates></dates><urls><web-urls><url><style face="normal" font="default" size="100%">http://onlinelibrary.wiley.com/doi/10.1002/2013EF000145/abstract;jsessionid=DBD0FB7B2443BD9C9D658F85A42F41FD.f04t04</style></url></web-urls></urls><pages><style face="normal" font="default" size="100%">n/a - n/a</style></pages><abstract><style face="normal" font="default" size="100%">Estuarine 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&#039;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&#039;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.</style></abstract></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Randhir, Timothy O.</style></author><author><style face="normal" font="default" size="100%">Tsvetkova, Olga</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Spatiotemporal dynamics of landscape pattern and hydrologic process in watershed systems</style></title><secondary-title><style face="normal" font="default" size="100%">Journal of Hydrology</style></secondary-title><short-title><style face="normal" font="default" size="100%">Journal of Hydrology</style></short-title></titles><dates><year><style  face="normal" font="default" size="100%">2011</style></year><pub-dates><date><style  face="normal" font="default" size="100%">Jan-06-2011</style></date></pub-dates></dates><urls><web-urls><url><style face="normal" font="default" size="100%">https://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/plain</style></url></web-urls></urls><volume><style face="normal" font="default" size="100%">404</style></volume><pages><style face="normal" font="default" size="100%">1 - 12</style></pages><language><style face="normal" font="default" size="100%">eng</style></language><issue><style face="normal" font="default" size="100%">1-2</style></issue></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Andrea E. Rizzoli</style></author><author><style face="normal" font="default" size="100%">Marcello Donatelli</style></author><author><style face="normal" font="default" size="100%">Ioannis N. Athanasiadis</style></author><author><style face="normal" font="default" size="100%">Ferdinando Villa</style></author><author><style face="normal" font="default" size="100%">David Huber</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Semantic links in integrated modelling frameworks</style></title><secondary-title><style face="normal" font="default" size="100%">Mathematics and Computers in Simulation</style></secondary-title></titles><keywords><keyword><style  face="normal" font="default" size="100%">Integrated modelling frameworks</style></keyword><keyword><style  face="normal" font="default" size="100%">Model linking</style></keyword><keyword><style  face="normal" font="default" size="100%">Model reuse</style></keyword><keyword><style  face="normal" font="default" size="100%">Ontologies</style></keyword></keywords><dates><year><style  face="normal" font="default" size="100%">2008</style></year><pub-dates><date><style  face="normal" font="default" size="100%">07/2008</style></date></pub-dates></dates><volume><style face="normal" font="default" size="100%">78</style></volume><pages><style face="normal" font="default" size="100%">412-423</style></pages><abstract><style face="normal" font="default" size="100%">&lt;p&gt;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.&lt;/p&gt;</style></abstract><issue><style face="normal" font="default" size="100%">2-3</style></issue></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Douglas R Brown</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">A spatiotemporal model of shifting cultivation and forest cover dynamics</style></title><secondary-title><style face="normal" font="default" size="100%">Environment and Development Economics 13: </style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2008</style></year></dates><section><style face="normal" font="default" size="100%">643</style></section><volume><style face="normal" font="default" size="100%">13</style></volume><pages><style face="normal" font="default" size="100%">28</style></pages><abstract><style face="normal" font="default" size="100%">&lt;p&gt;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 &amp;ndash; 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.&lt;/p&gt;</style></abstract></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>10</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">L. S. Vamvakeridou-Lyroudiaa, D. A. Savic</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">System Dynamics Modelling: A Tool for Participatory Simulation of Complex Water Systems within AquaStress</style></title><secondary-title><style face="normal" font="default" size="100%">International Congress on Environmental Modelling and Software Meeting 2008</style></secondary-title></titles><keywords><keyword><style  face="normal" font="default" size="100%">Decision making</style></keyword><keyword><style  face="normal" font="default" size="100%">Participatory process</style></keyword><keyword><style  face="normal" font="default" size="100%">Simulation</style></keyword><keyword><style  face="normal" font="default" size="100%">System Dynamics Modelling</style></keyword><keyword><style  face="normal" font="default" size="100%">Water Systems</style></keyword></keywords><dates><year><style  face="normal" font="default" size="100%">2008</style></year><pub-dates><date><style  face="normal" font="default" size="100%">07/07/2008</style></date></pub-dates></dates><urls><web-urls><url><style face="normal" font="default" size="100%">http://centres.exeter.ac.uk/cws/downloads/cat_view/43-aquastress</style></url></web-urls></urls></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>6</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Alexey A. Voinov</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Systems Science and Modeling for Ecological Economics</style></title></titles><dates><year><style  face="normal" font="default" size="100%">2008</style></year></dates><publisher><style face="normal" font="default" size="100%">Academic Press</style></publisher><pages><style face="normal" font="default" size="100%">432</style></pages><isbn><style face="normal" font="default" size="100%">978-0123725837</style></isbn><abstract><style face="normal" font="default" size="100%">&lt;p&gt;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.                                      &lt;br /&gt;
&lt;br /&gt;
* Relates modeling approaches and systems theory to real world examples &lt;br /&gt;
* Teaches students to build mathematically feasible models and get the most of our the data and information available&lt;br /&gt;
* Wide range of applications in hydrology, population dynamics, market cycles, sustainability theory, management, and more&lt;/p&gt;</style></abstract></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Jerome K. VanclayCorresponding Author Contact Information</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Spatially-explicit competition indices and the analysis of mixed-species plantings with the Simile modelling environment </style></title><secondary-title><style face="normal" font="default" size="100%">Forest Ecology and Management</style></secondary-title></titles><keywords><keyword><style  face="normal" font="default" size="100%">Acacia</style></keyword><keyword><style  face="normal" font="default" size="100%">Distance-dependent competition index</style></keyword><keyword><style  face="normal" font="default" size="100%">Eucalyptus</style></keyword><keyword><style  face="normal" font="default" size="100%">Individual-based modelling</style></keyword><keyword><style  face="normal" font="default" size="100%">Mixed-species</style></keyword><keyword><style  face="normal" font="default" size="100%">Powersim; Stella; Systems dynamics</style></keyword><keyword><style  face="normal" font="default" size="100%">Simile</style></keyword><keyword><style  face="normal" font="default" size="100%">Vensim</style></keyword></keywords><dates><year><style  face="normal" font="default" size="100%">2006</style></year></dates><volume><style face="normal" font="default" size="100%">233</style></volume><pages><style face="normal" font="default" size="100%">295-302</style></pages><abstract><style face="normal" font="default" size="100%">&lt;p&gt;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.&lt;span class=&quot;hit&quot;&gt;simulistics.&lt;/span&gt;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 &lt;i&gt;Eucalyptus pellita&lt;/i&gt; and &lt;i&gt;Acacia peregrina&lt;/i&gt; is used to illustrate possibilities.&lt;/p&gt;</style></abstract><issue><style face="normal" font="default" size="100%">2-3</style></issue></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Muetzelfeldt, R. I</style></author><author><style face="normal" font="default" size="100%">Massheder, J.</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">The Simile visual modelling environment.</style></title><secondary-title><style face="normal" font="default" size="100%">European Journal of Agronomy</style></secondary-title></titles><keywords><keyword><style  face="normal" font="default" size="100%">Declarative modelling</style></keyword><keyword><style  face="normal" font="default" size="100%">Modelling</style></keyword><keyword><style  face="normal" font="default" size="100%">Modelling environment</style></keyword><keyword><style  face="normal" font="default" size="100%">Simile</style></keyword></keywords><dates><year><style  face="normal" font="default" size="100%">2003</style></year></dates><urls><web-urls><url><style face="normal" font="default" size="100%">http://www.simulistics.com/files/documents/SimilePaper.pdf</style></url></web-urls></urls><volume><style face="normal" font="default" size="100%">18</style></volume><pages><style face="normal" font="default" size="100%">345-358 </style></pages><abstract><style face="normal" font="default" size="100%">&lt;p&gt;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.&lt;/p&gt;</style></abstract></record></records></xml>