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<meta content="Smith, Anthony D.M." name="eprints.creators_name" />
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<meta content="Effects of spatial resolution on the performance and interpretation of marine ecosystem models" name="eprints.title" />
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<meta content="Simplifying models by using coarse spatial resolution can be desirable because it reduces structural, computational and data
requirements and can make model interpretation easier. However, spatially simplified models may be incapable of reproducing
important dynamics observed in nature. To consider this issue the effect of spatial structure on the output of two trophic ecosystem
models (Bay Model 2 (BM2) and the Integrated Generic Bay Ecosystem Model (IGBEM)) was considered using a theoretical
approach known as 'deep-shallow model' comparison. This involved comparing simulation runs of 1-, 3-, and 8-box versions of
the ecosystem models (the 'shallow' models) with a 59-box version that was used to represent the real world (the 'deep' model).
The results indicate that simpler spatial configurations (geometries) can result in less short-term variation, changes in predicted
spatial patterns and trophic self-simplification (loss of functional groups), as the opportunity for spatial refuges is reduced.
More importantly, models with very little spatial resolution (i.e. 1- and 3-box models) do not capture the effects of changes in
nutrient loads or fishing pressure as well as more complex models. The results for the 8-box models used here indicate that
some simplification is acceptable, as overall model performance is not overwhelmed by the impacts of trophic self-simplification
and a loss of spatial heterogeneity. However, using models with very little spatial resolution (i.e. 1- and 3-box models) can be
misleading, as the impacts on system dynamics of the reduced heterogeneity increase." name="eprints.abstract" />
<meta content="2004-08" name="eprints.date" />
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<meta content="Baretta, J.W., Ebenhoh, W., Ruardij, P., 1995. The European
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Weins, J.A., 1989. Spatial scaling and ecology. Funct. Ecol. 3,
385-397." name="eprints.referencetext" />
<meta content="Fulton, Elizabeth A. and Smith, Anthony D.M. and Johnson, Craig R. (2004) Effects of spatial resolution on the performance and interpretation of marine ecosystem models. Ecological Modelling, 176 (1-2). pp. 27-42. ISSN 0304-3800" name="eprints.citation" />
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<meta content="270702 Marine and Estuarine Ecology (incl. Marine Ichthyology)" name="DC.subject" />
<meta content="Simplifying models by using coarse spatial resolution can be desirable because it reduces structural, computational and data
requirements and can make model interpretation easier. However, spatially simplified models may be incapable of reproducing
important dynamics observed in nature. To consider this issue the effect of spatial structure on the output of two trophic ecosystem
models (Bay Model 2 (BM2) and the Integrated Generic Bay Ecosystem Model (IGBEM)) was considered using a theoretical
approach known as 'deep-shallow model' comparison. This involved comparing simulation runs of 1-, 3-, and 8-box versions of
the ecosystem models (the 'shallow' models) with a 59-box version that was used to represent the real world (the 'deep' model).
The results indicate that simpler spatial configurations (geometries) can result in less short-term variation, changes in predicted
spatial patterns and trophic self-simplification (loss of functional groups), as the opportunity for spatial refuges is reduced.
More importantly, models with very little spatial resolution (i.e. 1- and 3-box models) do not capture the effects of changes in
nutrient loads or fishing pressure as well as more complex models. The results for the 8-box models used here indicate that
some simplification is acceptable, as overall model performance is not overwhelmed by the impacts of trophic self-simplification
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    <h1 class="ep_tm_pagetitle">Effects of spatial resolution on the performance and interpretation of marine ecosystem models</h1>
    <p style="margin-bottom: 1em" class="not_ep_block"><span class="person_name">Fulton, Elizabeth A.</span> and <span class="person_name">Smith, Anthony D.M.</span> and <span class="person_name">Johnson, Craig R.</span> (2004) <xhtml:em>Effects of spatial resolution on the performance and interpretation of marine ecosystem models.</xhtml:em> Ecological Modelling, 176 (1-2). pp. 27-42. ISSN 0304-3800</p><p style="margin-bottom: 1em" class="not_ep_block"></p><table style="margin-bottom: 1em" class="not_ep_block"><tr><td valign="top" style="text-align:center"><a href="http://eprints.utas.edu.au/1091/1/2004_Fulton%2C_Smith_%26_Johnson_Ecol_Mod_B.pdf"><img alt="[img]" src="http://eprints.utas.edu.au/style/images/fileicons/application_pdf.png" border="0" class="ep_doc_icon" /></a></td><td valign="top"><a href="http://eprints.utas.edu.au/1091/1/2004_Fulton%2C_Smith_%26_Johnson_Ecol_Mod_B.pdf"><span class="ep_document_citation">PDF</span></a> - Full text restricted - Requires a PDF viewer<br />284Kb</td><td><form method="get" accept-charset="utf-8" action="http://eprints.utas.edu.au/cgi/request_doc"><input value="1322" name="docid" accept-charset="utf-8" type="hidden" /><div class=""><input value="Request a copy" name="_action_null" class="ep_form_action_button" onclick="return EPJS_button_pushed( '_action_null' )" type="submit" /> </div></form></td></tr></table><p style="margin-bottom: 1em" class="not_ep_block">Official URL: <a href="http://dx.doi.org/10.1016/j.ecolmodel.2003.10.026">http://dx.doi.org/10.1016/j.ecolmodel.2003.10.026</a></p><div class="not_ep_block"><h2>Abstract</h2><p style="padding-bottom: 16px; text-align: left; margin: 1em auto 0em auto">Simplifying models by using coarse spatial resolution can be desirable because it reduces structural, computational and data&#13;
requirements and can make model interpretation easier. However, spatially simplified models may be incapable of reproducing&#13;
important dynamics observed in nature. To consider this issue the effect of spatial structure on the output of two trophic ecosystem&#13;
models (Bay Model 2 (BM2) and the Integrated Generic Bay Ecosystem Model (IGBEM)) was considered using a theoretical&#13;
approach known as 'deep-shallow model' comparison. This involved comparing simulation runs of 1-, 3-, and 8-box versions of&#13;
the ecosystem models (the 'shallow' models) with a 59-box version that was used to represent the real world (the 'deep' model).&#13;
The results indicate that simpler spatial configurations (geometries) can result in less short-term variation, changes in predicted&#13;
spatial patterns and trophic self-simplification (loss of functional groups), as the opportunity for spatial refuges is reduced.&#13;
More importantly, models with very little spatial resolution (i.e. 1- and 3-box models) do not capture the effects of changes in&#13;
nutrient loads or fishing pressure as well as more complex models. The results for the 8-box models used here indicate that&#13;
some simplification is acceptable, as overall model performance is not overwhelmed by the impacts of trophic self-simplification&#13;
and a loss of spatial heterogeneity. However, using models with very little spatial resolution (i.e. 1- and 3-box models) can be&#13;
misleading, as the impacts on system dynamics of the reduced heterogeneity increase.</p></div><table style="margin-bottom: 1em" border="0" cellpadding="3" class="not_ep_block"><tr><th valign="top" class="ep_row">Item Type:</th><td valign="top" class="ep_row">Article</td></tr><tr><th valign="top" class="ep_row">Additional Information:</th><td valign="top" class="ep_row">The definitive online version of this article is available at http://www.sciencedirect.com/</td></tr><tr><th valign="top" class="ep_row">Keywords:</th><td valign="top" class="ep_row">Spatial structure; Biogeochemistry; Ecosystems; Models </td></tr><tr><th valign="top" class="ep_row">Subjects:</th><td valign="top" class="ep_row"><a href="http://eprints.utas.edu.au/view/subjects/270702.html">270000 Biological Sciences &gt; 270700 Ecology and Evolution &gt; 270702 Marine and Estuarine Ecology (incl. Marine Ichthyology)</a></td></tr><tr><th valign="top" class="ep_row">Collections:</th><td valign="top" class="ep_row">UNSPECIFIED</td></tr><tr><th valign="top" class="ep_row">ID Code:</th><td valign="top" class="ep_row">1091</td></tr><tr><th valign="top" class="ep_row">Deposited By:</th><td valign="top" class="ep_row"><span class="ep_name_citation"><span class="person_name">Professor Craig R. Johnson</span></span></td></tr><tr><th valign="top" class="ep_row">Deposited On:</th><td valign="top" class="ep_row">28 May 2007</td></tr><tr><th valign="top" class="ep_row">Last Modified:</th><td valign="top" class="ep_row">04 Feb 2008 16:20</td></tr><tr><th valign="top" class="ep_row">ePrint Statistics:</th><td valign="top" class="ep_row"><a target="ePrintStats" href="/es/index.php?action=show_detail_eprint;id=1091;">View statistics for this ePrint</a></td></tr></table><p align="right">Repository Staff Only: <a href="http://eprints.utas.edu.au/cgi/users/home?screen=EPrint::View&amp;eprintid=1091">item control page</a></p>
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