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- <meta content="Fulton, Elizabeth A." name="eprints.creators_name" />
- <meta content="Smith, Anthony D.M." name="eprints.creators_name" />
- <meta content="Johnson, Craig R." name="eprints.creators_name" />
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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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- 385-397." name="eprints.referencetext" />
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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
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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
- 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.</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 > 270700 Ecology and Evolution > 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&eprintid=1091">item control page</a></p>
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