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<article language="en">
	<journal>
		<journal_title>Biogeosciences</journal_title>
		<journal_url>www.biogeosciences.net</journal_url>
		<issn>1726-4170</issn>
		<eissn>1726-4189</eissn>
		<volume_number>7</volume_number>
		<issue_number>1</issue_number>
		<publication_year>2010</publication_year>
	</journal>
	<doi>10.5194/bg-7-199-2010</doi>
	<article_url>http://www.biogeosciences.net/7/199/2010/</article_url>
	<abstract_html>http://www.biogeosciences.net/7/199/2010/bg-7-199-2010.html</abstract_html>
	<fulltext_pdf>http://www.biogeosciences.net/7/199/2010/bg-7-199-2010.pdf</fulltext_pdf>
	<start_page>199</start_page>
	<end_page>215</end_page>
	<publication_date>2010-01-14</publication_date>
	<article_title content_type="html">Needle age-related and seasonal photosynthetic capacity variation is negligible for modelling yearly gas exchange of a sparse temperate Scots pine forest</article_title>
	<authors>
		<author numeration="1" affiliations="1,4">
			<name>M. Op de Beeck</name>
			<email>maarten.opdebeeck@ua.ac.be</email>
		</author>
		<author numeration="2" affiliations="1,4">
			<name>B. Gielen</name>
		</author>
		<author numeration="3" affiliations="2">
			<name>I. Jonckheere</name>
		</author>
		<author numeration="4" affiliations="3">
			<name>R. Samson</name>
		</author>
		<author numeration="5" affiliations="1">
			<name>I. A. Janssens</name>
		</author>
		<author numeration="6" affiliations="1">
			<name>R. Ceulemans</name>
		</author>
	</authors>
	<affiliations>
		<affiliation numeration="1" content_type="html">Research Group of Plant and Vegetation Ecology, Department of Biology, University of Antwerp, Wilrijk, Belgium</affiliation>
		<affiliation numeration="2" content_type="html">Biosystems Department, Geomatics Group, Katholieke Universiteit Leuven, Leuven, Belgium</affiliation>
		<affiliation numeration="3" content_type="html">Department of Bioscience Engineering, University of Antwerp, Antwerpen, Belgium</affiliation>
		<affiliation numeration="4" content_type="html">these authors contributed equally to this manuscript</affiliation>
	</affiliations>
	<abstract content_type="html">In this study, we quantified the predictive accuracy loss involved with
omitting photosynthetic capacity variation for a Scots pine (&lt;i&gt;Pinus sylvestris&lt;/i&gt; L.) stand in
Flanders, Belgium. Over the course of one phenological year, we measured the
maximum carboxylation capacity at 25 &amp;deg;C (&lt;i&gt;V&lt;/i&gt;&lt;sub&gt;m25&lt;/sub&gt;), the maximum electron
transport capacity at 25 &amp;deg;C (&lt;i&gt;J&lt;/i&gt;&lt;sub&gt;m25&lt;/sub&gt;), and the leaf area index (LAI) of
different-aged needle cohorts in the upper and lower canopy. We used these
measurements as input for a process-based multi-layer canopy model with the
objective to quantify the difference in yearly gross ecosystem productivity
(GEP) and canopy transpiration (&lt;i&gt;E&lt;/i&gt;&lt;sub&gt;can&lt;/sub&gt;) simulated under scenarios in which
the observed needle age-related and/or seasonal variation of &lt;i&gt;V&lt;/i&gt;&lt;sub&gt;m25&lt;/sub&gt; and
&lt;i&gt;J&lt;/i&gt;&lt;sub&gt;m25&lt;/sub&gt; was omitted. We compared simulated GEP with estimations obtained from
eddy covariance measurements. Additionally, we measured summer needle N
content to investigate the relationship between photosynthetic capacity
parameters and needle N content along different needle ages.
&lt;br&gt;&lt;br&gt;
Results show that &lt;i&gt;V&lt;/i&gt;&lt;sub&gt;m25&lt;/sub&gt; and &lt;i&gt;J&lt;/i&gt;&lt;sub&gt;m25&lt;/sub&gt; were, respectively, 27% and
13% higher in current-year than in one-year old needles. A significant
seasonality effect was found on &lt;i&gt;V&lt;/i&gt;&lt;sub&gt;m25&lt;/sub&gt;, but not on &lt;i&gt;J&lt;/i&gt;&lt;sub&gt;m25&lt;/sub&gt;. Summer needle
N content was considerably lower in current-year than in one-year-old
needles. As a result, the correlations between &lt;i&gt;V&lt;/i&gt;&lt;sub&gt;m25&lt;/sub&gt; and needle N content
and &lt;i&gt;J&lt;/i&gt;&lt;sub&gt;m25&lt;/sub&gt; and needle N content were negative and non-significant,
respectively. Some explanations for these unexpected correlations were
brought forward. Yearly GEP was overestimated by the canopy model by &amp;plusmn;15% under all scenarios. The inclusion and omission of the observed
needle age-related &lt;i&gt;V&lt;/i&gt;&lt;sub&gt;m25&lt;/sub&gt; and &lt;i&gt;J&lt;/i&gt;&lt;sub&gt;m25&lt;/sub&gt; variation in the model simulations
led to statistically significant but ecologically irrelevant differences in
simulated yearly GEP and &lt;i&gt;E&lt;/i&gt;&lt;sub&gt;can&lt;/sub&gt;. Omitting seasonal variation did not yield
significant simulation differences. Our results indicate that intensive
photosynthetic capacity measurements over the full growing season and
separate simulation of needle age classes were no prerequisites for accurate
simulations of yearly canopy gas exchange. This is true, at least, for the
studied stand, which has a very sparse canopy and is exposed to high N
deposition and, hence, is not fully representative for temperate Scots pine
stands. Nevertheless, we believe well-parameterized process-based canopy
models – as applied in this study – are a useful tool to quantify losses of
predictive accuracy involved with canopy simplification in modelling.</abstract>
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</article>
