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	<REFERENCE_TYPE>31</REFERENCE_TYPE>
	<AUTHORS>
		<AUTHOR>De Vries, W.</AUTHOR>
		<AUTHOR>Wamelink. G.W.W</AUTHOR>
		<AUTHOR>Dobben, H</AUTHOR>
		<AUTHOR>Kros, H</AUTHOR>
		<AUTHOR>Reinds, G.J</AUTHOR>
		<AUTHOR>Mol-Dijkstra, J</AUTHOR>
		<AUTHOR>Smart, S.</AUTHOR>
		<AUTHOR>Evans, C</AUTHOR>
		<AUTHOR>Rowe, E.</AUTHOR>
		<AUTHOR>Belyazid, S</AUTHOR>
		<AUTHOR>Sverdrup, H</AUTHOR>
		<AUTHOR>van Hinsberg, A</AUTHOR>
		<AUTHOR>Posch, M.</AUTHOR>
		<AUTHOR>Hetteling, J.P</AUTHOR>
		<AUTHOR>Spranger, T</AUTHOR>
	</AUTHORS>
	<YEAR>2009</YEAR>
	<TITLE>Use of dynamic soil-vegetation models to assess impacts of nitrogen deposition on plant species composition and to estimate critical loads: an overview </TITLE>
	<SECONDARY_TITLE>Ecological Applications </SECONDARY_TITLE>
	<KEYWORDS>
		<KEYWORD>soil-vegetation</KEYWORD>
		<KEYWORD>models,</KEYWORD>
		<KEYWORD>model</KEYWORD>
		<KEYWORD>validation,</KEYWORD>
		<KEYWORD>nitrogen</KEYWORD>
		<KEYWORD>deposition,</KEYWORD>
		<KEYWORD>critical</KEYWORD>
		<KEYWORD>loads,</KEYWORD>
		<KEYWORD>plant</KEYWORD>
		<KEYWORD>species</KEYWORD>
		<KEYWORD>composition,</KEYWORD>
		<KEYWORD>biodiversity,</KEYWORD>
		<KEYWORD>terrestrial</KEYWORD>
		<KEYWORD>ecosystems,</KEYWORD>
		<KEYWORD>plant</KEYWORD>
		<KEYWORD>communities</KEYWORD>
	</KEYWORDS>
	<ABSTRACT>&lt;p style=&quot;margin: 0cm 0cm 0pt;&quot; class=&quot;t1&quot;&gt;&lt;span lang=&quot;EN-GB&quot;&gt;&lt;span style=&quot;font-size: small; font-family: Garamond;&quot;&gt;Field observations and experimental data of effects of nitrogen (N) deposition on plant species diversity have been used to derive empirical critical N loads for various ecosystems. The great advantage of such as approach is the inclusion of field evidence, but there are also restrictions, such as the absence of explicit criteria regarding significant effects on the vegetation, and the impossibility to predict future impacts when N deposition changes. Model approaches can account for this. In this paper, we review the possibilities of static and dynamic multi-species models in combination with dynamic soil - vegetation models to (i) predict plant species composition as a function of atmospheric N deposition and (ii) calculate critical N loads in relation to a prescribed protection level of the species composition. &lt;/span&gt;&lt;/span&gt;&lt;a name=&quot;OLE_LINK1&quot;&gt;&lt;span style=&quot;font-size: small;&quot;&gt;&lt;span style=&quot;font-family: Garamond;&quot;&gt;&lt;span style=&quot;mso-bidi-font-family: 'Times New Roman';&quot; lang=&quot;EN-GB&quot;&gt;The similarities between the models are presented, but also several important differences, including the use of different indicators for N and acidity and the prediction of individual plant species versus plant communities. &lt;/span&gt;&lt;span lang=&quot;EN-GB&quot;&gt;A summary of the strengths and weaknesses of the various models, including their validation status, is given. Furthermore, examples are given of critical load calculations with the model chains and their comparison with empirical critical N loads.&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;/a&gt;&lt;span style=&quot;font-size: small;&quot;&gt;&lt;span style=&quot;font-family: Garamond;&quot;&gt;&lt;span lang=&quot;EN-GB&quot;&gt; &lt;/span&gt;&lt;span style=&quot;mso-bidi-font-family: 'Times New Roman';&quot; lang=&quot;EN-GB&quot;&gt;We show that linked biogeochemistry-biodiversity models for nitrogen have potential for applications to support European policy to reduce nitrogen input, but the definition of damage thresholds for terrestrial biodiversity represents a major challenge. T&lt;/span&gt;&lt;span lang=&quot;EN-GB&quot;&gt;here is a also a clear need for further testing and validation of the models against long-term monitoring or long-term experimental datasets and against large-scale survey data. This requires &lt;/span&gt;&lt;span style=&quot;mso-bidi-font-family: 'Times New Roman';&quot; lang=&quot;EN-GB&quot;&gt;a focused data collection in &lt;st1:place w:st=&quot;on&quot;&gt;Europe&lt;/st1:place&gt;, combing vegetation descriptions with variables affecting the species diversity, such as soil acidity, nutrient status and water availability. &lt;/span&gt;&lt;span lang=&quot;EN-GB&quot;&gt;Finally, there is a need for adaptation and upscaling of the models beyond the regions for which dose-response relationships have been parameterised, to make them generally applicable.&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;/p&gt;</ABSTRACT>
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