<?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%">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%">R. Seppelt</style></author><author><style face="normal" font="default" size="100%">O. Richter</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">“It was an artefact not the result”: A note on systems dynamic model development tools</style></title><secondary-title><style face="normal" font="default" size="100%">Environmental Modelling &amp; Software</style></secondary-title></titles><keywords><keyword><style  face="normal" font="default" size="100%">Lotka-Volterra equation; Predator-prey modelling</style></keyword><keyword><style  face="normal" font="default" size="100%">MATEMATICA</style></keyword><keyword><style  face="normal" font="default" size="100%">MATLAB</style></keyword><keyword><style  face="normal" font="default" size="100%">Model analysis</style></keyword><keyword><style  face="normal" font="default" size="100%">MODELMAKER</style></keyword><keyword><style  face="normal" font="default" size="100%">Numerical ODE solvers</style></keyword><keyword><style  face="normal" font="default" size="100%">Simile</style></keyword><keyword><style  face="normal" font="default" size="100%">STELLA</style></keyword><keyword><style  face="normal" font="default" size="100%">Stiff systems</style></keyword></keywords><dates><year><style  face="normal" font="default" size="100%">2005</style></year><pub-dates><date><style  face="normal" font="default" size="100%">12/2005</style></date></pub-dates></dates><volume><style face="normal" font="default" size="100%">20</style></volume><pages><style face="normal" font="default" size="100%">1543-1548</style></pages><abstract><style face="normal" font="default" size="100%">&lt;p&gt;Environmental modelling is done more and more by practising ecologists rather than computer scientists or mathematicians. This is because there is a broad spectrum of development tools available that allows graphical coding of complex models of dynamic systems and help to abstract from the mathematical issues of the modelled system and the related numerical problems for estimating solutions. In this contribution, we study how different modelling tools treat a test system, a highly non-linear predator&amp;ndash;prey model, and how the numerical solutions vary. We can show that solutions (a) differ if different development tools are chosen but the same numerical procedure is selected; (b) depend on undocumented implementation details; (c) vary even for the same tool but for different versions; and (d) are generated but with no notifications on numerical problems even if these could be identified. We conclude that improved documentation of numeric methods used in the modelling software is essential to make sure that process based models formulated in terms of these modelling packages do not become &amp;ldquo;black box&amp;rdquo; models due to uncertainty in integration methods.&lt;/p&gt;</style></abstract><issue><style face="normal" font="default" size="100%">12</style></issue><notes><style face="normal" font="default" size="100%">&lt;p&gt;&lt;a name=&quot;SeppeltRicter2005News&quot;&gt;07             October: Integration methods test model added to the model             catalogue, &lt;/a&gt;&lt;a href=&quot;../../../../../../examples/catalogue/modeldescription.php?Id=predator_prey32.sml&quot;&gt;Lotka-Volterra             predator-prey model (Seppelt and Richter, 2005)&lt;/a&gt;. &lt;br /&gt;
The model is included in response to the call by &lt;a href=&quot;http://dx.doi.org/doi:10.1016/j.envsoft.2004.12.004&quot;&gt;Seppelt             and Richter (2005)&lt;/a&gt; for evaluation of the numerical methods of simulation modelling tools. Such evaluation is to be welcomed as it is required to provide confidence in results, though of course, the model itself must also represent the target system adequately for confidence. If either the model representation or numerical methods are flawed, the results will be flawed. Unfortunately, Seppelt and Richter (2005) report aberrant behaviour of Simile 3.2 though neither the authors nor we can reproduce the flawed behaviour. A &lt;a href=&quot;http://dx.doi.org/doi:10.1016/j.envsoft.2006.01.003&quot;&gt;corrigendum&lt;/a&gt;             has been published.&lt;/p&gt;
&lt;p&gt;&amp;nbsp;&lt;/p&gt;</style></notes></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>