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	<front>
		<journal-meta>
			<journal-id journal-id-type="publisher-id">Pirineos</journal-id>
			<journal-title-group>
				<journal-title>Pirineos</journal-title>
				<abbrev-journal-title>Pirineos</abbrev-journal-title>
			</journal-title-group>
			<issn pub-type="epub">0373-2568</issn>
			<publisher>
				<publisher-name>Consejo Superior de Investigaciones Científicas</publisher-name>
			</publisher>
		</journal-meta>
		<article-meta>
			<article-id pub-id-type="publisher-id">pirineos.2019.174002</article-id>
			<article-id pub-id-type="doi">10.3989/pirineos.2019.174002</article-id>
			<article-categories>
				<subj-group subj-group-type="heading">
					<subject>Articles</subject>
				</subj-group>
			</article-categories>
			<title-group>
				<article-title>GRAZING ABANDONMENT NEGATIVELY AFFECTS FORAGE QUALITY IN IBERIAN ATLANTIC GRASSLANDS</article-title>
				<trans-title-group xml:lang="es">
					<trans-title>El abandono del pastoreo afecta negativamente a la calidad del pasto en pastizales atlánticos ibéricos</trans-title>
				</trans-title-group>
				<alt-title alt-title-type="running-head">GRAZING ABANDONMENT NEGATIVELY AFFECTS FORAGE QUALITY IN IBERIAN ATLANTIC GRASSLANDS</alt-title>
			</title-group>
			<contrib-group>
				<contrib contrib-type="author" corresp="yes" rid="cor1">
					<name>
						<surname>Aldezabal</surname>
						<given-names>Arantza</given-names>
					</name>
					<xref ref-type="aff" rid="aff1"/>
					<ext-link ext-link-type="uri" xlink:href="http://orcid.org/0000-0001-7917-7690">http://orcid.org/0000-0001-7917-7690</ext-link>
				</contrib>
				<contrib contrib-type="author" corresp="no">
					<name>
						<surname>Pérez-López</surname>
						<given-names>Usue</given-names>
					</name>
					<xref ref-type="aff" rid="aff1"/>
					<ext-link ext-link-type="uri" xlink:href="http://orcid.org/0000-0001-9081-7652">http://orcid.org/0000-0001-9081-7652</ext-link>
					<email xlink:href="usue.perez@ehu.eus">usue.perez@ehu.eus</email>
				</contrib>
				<contrib contrib-type="author" corresp="no">
					<name>
						<surname>Laskurain</surname>
						<given-names>Nere Amaia</given-names>
					</name>
					<xref ref-type="aff" rid="aff1"/>
					<ext-link ext-link-type="uri" xlink:href="http://orcid.org/0000-0002-9521-8584">http://orcid.org/0000-0002-9521-8584</ext-link>
					<email xlink:href="nereamaia.lascurain@ehu.eus">nereamaia.lascurain@ehu.eus</email>
				</contrib>
				<contrib contrib-type="author" corresp="no">
					<name>
						<surname>Odriozola</surname>
						<given-names>Iñaki</given-names>
					</name>
					<xref ref-type="aff" rid="aff1"/>
					<xref ref-type="aff" rid="aff2"/>
					<ext-link ext-link-type="uri" xlink:href="http://orcid.org/0000-0002-5289-7935">http://orcid.org/0000-0002-5289-7935</ext-link>
					<email xlink:href="odrilarra@gmail.com">odrilarra@gmail.com</email>
				</contrib>
				<aff id="aff1">Department of Plant Biology and Ecology, Faculty of Science and Technology, University of the Basque Country, UPV/EHU, 48940 Leioa, Basque Country, Spain</aff>
				<aff id="aff2">Laboratory of Environmental Microbiology, Institute of Microbiology of the CAS, Vídeňská 1083, 14220 Praha 4, Czech Republic</aff>
			</contrib-group>
			<author-notes>
				<corresp id="cor1">E-mail: <email xlink:href="arantza.aldezabal@ehu.eus">arantza.aldezabal@ehu.eus</email>
				</corresp>
			</author-notes>
			<pub-date pub-type="epub">
				<day>31</day>
				<month>12</month>
				<year>2019</year>
			</pub-date>
			<pub-date pub-type="collection">
				<year>2019</year>
			</pub-date>
			<volume>174</volume>
			<elocation-id content-type="doi">10.3989/pirineos.2019.174002</elocation-id>
			<history>
				<date date-type="recibido">
					<day>14</day>
					<month>01</month>
					<year>2019</year>
				</date>
				<date date-type="aceptado">
					<day>15</day>
					<month>03</month>
					<year>2019</year>
				</date>
				<date date-type="Publicado on-line">
					<day>16</day>
					<month>05</month>
					<year>2019</year>
				</date>
			</history>
			<permissions>
				<copyright-statement>© 2019 CSIC</copyright-statement>
				<copyright-year>2019</copyright-year>
				<license license-type="open-access" xlink:href="https://creativecommons.org/licenses/by/4.0/deed.en">
					<license-p>This is an open-access article distributed under the terms of the Creative Commons Attribution 4.0 International (CC BY 4.0) License.</license-p>
				</license>
			</permissions>
			<abstract xml:lang="en" id="abstract01">
				<title>ABSTRACT</title>
				<p>Forage quality in mountain grasslands is an important factor for maintaining or improving animal performance. Previous studies identified plant traits beneficial for animal nutrition; however, little is known regarding their maintenance in plant communities. Our main hypothesis was that grazing favors plants with high regrowth capacity and low resource utilization efficiency, promoting the production of high-quality forage. To test the hypothesis, we conducted a grazer exclusion experiment in an Iberian Atlantic grassland combined with a <italic>response-effect</italic> framework based on various plant traits and an appropriate statistical methodology to measure the relative contribution of species turnover and intraspecific trait variability (ITV) after grazing abandonment. Our results showed that forage quality declined after short-term grazing abandonment, via strong ITV effects and weak species turnover effects. Strong species turnover effects might appear after longer period of abandonment if, as expected, tall grasses with low tissue quality outcompete species with high tissue quality.</p>
			</abstract>
			<trans-abstract xml:lang="es" id="abstract02">
				<title>RESUMEN</title>
				<p>La calidad del pasto en los pastizales de montaña es un factor importante para mantener o mejorar el rendimiento animal. Estudios previos han identificado atributos vegetales beneficiosos para la nutrición animal; sin embargo, poco se sabe sobre su mantenimiento en comunidades vegetales. Nuestra principal hipótesis sostiene que el pastoreo favorece a las especies con una alta capacidad de rebrote y una baja eficiencia de utilización de recursos, promoviendo así la producción de pasto de alta calidad. Para testar la hipótesis, realizamos un experimento de exclusión del pastoreo en un pastizal de la montaña atlántica, combinado con un marco teórico de <italic>respuesta-efecto</italic> basado en varios atributos vegetales y una metodología estadística apropiada para medir la contribución relativa del recambio de especies y la variabilidad intraespecífica de los atributos (ITV) tras el abandono del pastoreo. Nuestros resultados mostraron que la calidad del pasto disminuyó tras el abandono del pastoreo a corto plazo, principalmente debido al efecto de la ITV. Los efectos por recambio de especies podrían aparecer tras un período más largo de abandono si, tal y como es esperable, las gramíneas altas con tejidos de baja calidad nutritiva sustituyen a las especies de mayor calidad.</p>
			</trans-abstract>
			<kwd-group xml:lang="en">
				<title>KEY WORDS</title>
				<kwd>Community response</kwd>
				<kwd>effect traits</kwd>
				<kwd>forage quality</kwd>
				<kwd>grazer exclusion</kwd>
				<kwd>intraspecific variability</kwd>
				<kwd>species turnover</kwd>
			</kwd-group>
			<kwd-group xml:lang="es">
				<title>PALABRAS CLAVE</title>
				<kwd>Respuesta de la comunidad</kwd>
				<kwd>atributos de efecto</kwd>
				<kwd>calidad del forraje</kwd>
				<kwd>exclusión de herbívoros</kwd>
				<kwd>variabilidad intraespecífica</kwd>
				<kwd>recambio de especies</kwd>
			</kwd-group>
		</article-meta>
	</front>
	<body>
		<sec id="S1">
			<label>1.</label>
			<title>Introduction</title>
			<p>Cattle and small ruminants, such as sheep and goats, consume 80% of the total animal feed produced worldwide (<xref ref-type="bibr" rid="B18">Herrero <italic>et al.</italic>, 2013</xref>). Grasslands occupy approximately 40% of the global terrestrial surface and provide many ecosystem services, including most of the biomass used by livestock (<xref ref-type="bibr" rid="B21">Lee <italic>et al.</italic>, 2017</xref>; <xref ref-type="bibr" rid="B29">Moreno García <italic>et al.</italic>, 2014</xref>). Therefore, forage quality (i.e., digestibility and nutritional value) in grassland systems influences the amount of consumed feed, efficiency of rumination, rate of animal weight gain, quality and volume of produced milk, and animal reproductive success (<xref ref-type="bibr" rid="B19">Herrero <italic>et al.</italic>, 2015</xref>). The quality of forage grasses is improved by reducing the proportion of fiber and increasing the proportion of protein (<xref ref-type="bibr" rid="B21">Lee <italic>et al.</italic>, 2017</xref>; <xref ref-type="bibr" rid="B41">Waghorn &amp; Clark, 2004</xref>). Although much research has been carried out focusing on the introduction of traits beneficial for animal nutrition into plants, little is known regarding the maintenance of such traits in plant communities (<xref ref-type="bibr" rid="B32">Parsons <italic>et al.</italic>, 2011</xref>).</p>
			<p>Grazing by domestic and wild ungulates affects ecosystem functions related to forage quality by promoting some plant traits over others (<xref ref-type="bibr" rid="B8">Deléglise <italic>et al.</italic>, 2015</xref>; <xref ref-type="bibr" rid="B34">Peco <italic>et al.</italic>, 2017</xref>). Thus, a response-effect framework based on plant traits (<xref ref-type="bibr" rid="B20">Lavorel &amp; Garnier, 2002</xref>) may be a useful tool to understand the response of specific plant traits to grazing as well as their effect on the nutritional quality of produced forage. Plants use two main strategies against herbivores: avoidance (or defense) and tolerance (<xref ref-type="bibr" rid="B10">Díaz <italic>et al.</italic>, 2007</xref>; <xref ref-type="bibr" rid="B40">Van Der Meijden <italic>et al.</italic>, 1988</xref>). The latter, which is common in grasslands with high resource availability and long evolutionary history of grazing (<xref ref-type="bibr" rid="B5">Cingolani <italic>et al.</italic>, 2005</xref>), favors plant species with fast regrowth rate after defoliation (<xref ref-type="bibr" rid="B34">Peco <italic>et al.</italic>, 2017</xref>) and produces high-quality forage (<xref ref-type="bibr" rid="B10">Díaz <italic>et al.</italic>, 2007</xref>). Additionally, herbivores enhance nitrogen (N) inputs to the soil through their urine and feces, increasing the abundance of grass species with low fiber content and high N content (<xref ref-type="bibr" rid="B35">Pontes <italic>et al.</italic>, 2010</xref>, <xref ref-type="bibr" rid="B37">2007</xref>). In this type of grassland, grazing abandonment promotes plant species that more efficiently compete for light and utilize resources (<xref ref-type="bibr" rid="B11">Díaz <italic>et al.</italic>, 2001</xref>; <xref ref-type="bibr" rid="B27">McNaughton, 1984</xref>; <xref ref-type="bibr" rid="B28">Milchunas <italic>et al.</italic>, 1988</xref>), producing forage of low nutritional value.</p>
			<p>Previous studies on Iberian Atlantic grasslands have shown that a reduction in forage quality occurred after cessation of grazing; specifically, lower protein concentration and digestibility, and higher fiber content were present (<xref ref-type="bibr" rid="B31">Odriozola <italic>et al.</italic>, 2014</xref>). In this study, we propose a hypothesis for the mechanism behind these changes in forage quality that is based on the tolerance strategy of the plants: grazing favors plants with high regrowth capacity and low resource utilization efficiency, promoting the production of forage with high nutritional value; conversely, grazing abandonment favors plants with the ability to compete for light and that have high resource utilization efficiency, promoting the production of low-quality forage. To test this hypothesis, grazing abandonment by mixed livestock (sheep, cattle, and horses) was experimentally simulated (five years of exclusion) using grazer-exclusion fences in productive grasslands of the Atlantic Iberian Peninsula. Then, in line with the mass-ratio hypothesis, plant traits of the most abundant (structural) species (covering at least 80% of the area) were measured to assess the effect of grazing abandonment on forage nutritional quality. The mass-ratio hypothesis states that the traits of dominant species largely determine the effect of plant communities on ecosystem functions (<xref ref-type="bibr" rid="B17">Grime, 1998</xref>). On the basis of this hypothesis, previous studies have successfully used the community weighted mean (CWM) of structural species to assess the effects of land-use changes on ecosystem processes (e.g., <xref ref-type="bibr" rid="B15">Garnier <italic>et al.</italic>, 2004</xref>, <xref ref-type="bibr" rid="B14">2007</xref>; <xref ref-type="bibr" rid="B38">Quétier <italic>et al.</italic>, 2007</xref>). Usually, functional trait studies consider plant species as functionally homogeneous entities with no phenotypic plasticity; thus, the effect of intraspecific trait variability (ITV) on response capacity (plasticity) is disregarded. Nevertheless, most quantitative plant traits are highly variable within species (<xref ref-type="bibr" rid="B1">Albert <italic>et al.</italic>, 2010</xref>; <xref ref-type="bibr" rid="B6">Cornelissen <italic>et al.</italic>, 2003</xref>; <xref ref-type="bibr" rid="B24">Lepš <italic>et al.</italic>, 2011</xref>; <xref ref-type="bibr" rid="B43">Westoby <italic>et al.</italic>, 2002</xref>). Moreover, <xref ref-type="bibr" rid="B21">Lee <italic>et al.</italic>, (2017)</xref> reported that intraspecific physiological responses were an important driver of forage quality worldwide. In order to include plasticity effects on community response to grazing abandonment and overcome the limitations of previous studies, plant traits were measured in two grassland sites in this study (Alotza &amp; Uzkuiti) under grazing and non-grazing conditions. Additionally, the relative contribution of species turnover and ITV after grazing abandonment was measured using the statistical methodology developed by <xref ref-type="bibr" rid="B24">Lepš <italic>et al.</italic>, (2011)</xref>.</p>
			<p>The objectives of this study were to test 1) whether grazing abandonment promotes the production of forage with low nutritional value; and 2) whether species turnover and ITV after grazing reinforce each other through selection of similar plant traits. Although previous studies have attempted to associate the response of plant traits to grazing (or cutting and nutrient addition) with their effects on herbivore nutrition (<xref ref-type="bibr" rid="B5">Cingolani <italic>et al.</italic>, 2005</xref>; <xref ref-type="bibr" rid="B7">Cruz <italic>et al.</italic>, 2010</xref>; <xref ref-type="bibr" rid="B8">Deléglise <italic>et al.</italic>, 2015</xref>; <xref ref-type="bibr" rid="B29">Moreno García <italic>et al.</italic>, 2014</xref>; <xref ref-type="bibr" rid="B35">Pontes <italic>et al.</italic>, 2010</xref>, <xref ref-type="bibr" rid="B37">2007</xref>), to our knowledge, this is the first study to measure the relative contribution of species turnover and ITV after grazing abandonment using a specific statistical methodology.</p>
		</sec>
		<sec id="S2">
			<label>2.</label>
			<title>Materials and Methods</title>
			<sec id="S2.1">
				<label>2.1.</label>
				<title>Study area</title>
				<p>Experiments were conducted in two semi-natural grasslands, Alotza (43°0'10.6" N, 2°5'22" W; 1,223 m elevation) and Uzkuiti (43°0′50″ N, 2°4′3″ W; 1,300 m elevation), located in the Aralar Natural Park, which is an 11,000 ha protected area located in the Atlantic Basque Country, Spain. The climate is oceanic with a mean annual temperature of 7°C and a mean annual precipitation of 1,330 mm. Aralar grasslands are used by mixed livestock in a moderate/high stocking rate (3.2 livestock units ha<sup>‒1</sup> d<sup>‒1</sup>; 13% beef cattle, 52% dairy sheep, and 35% horses; <xref ref-type="bibr" rid="B31">Odriozola <italic>et al.</italic>, 2014</xref>). Livestock herds are managed based on a short-distance transhumance system using lowland farms in winter/spring (December to April) and, more extensively, the upland grasslands in summer/fall (May to November). The park comprises productive native grasslands (mean aboveground net primary production of 1.97 ± 0.39 t dry mass ha<sup>‒1</sup> yr<sup>‒1</sup>; unpublished data) with a calcareous substrate (<xref ref-type="bibr" rid="B16">Gibbons &amp; Moreno, 2002</xref>). The grasslands <italic>(Jasiono laevis-Danthonietum decumbentis</italic> Loidi; <xref ref-type="bibr" rid="B26">Loidi, 1982</xref>) have a high conservation value (code 6230, 92/43/EEC; <xref ref-type="bibr" rid="B12">European Commission, 2013</xref>) and are associated with the production of a local cheese, Idiazabal, from the milk of the Latxa sheep breed (<xref ref-type="bibr" rid="B4">Batalla, 2015</xref>).</p>
			</sec>
			<sec id="S2.2">
				<label>2.2.</label>
				<title>Experimental design</title>
				<p>In May 2005, we installed a permanent 50 m × 50 m fence plot at each site (Alotza, Uzkuiti) to establish grazer exclusion plots (E plots). Attached to each E plot, we delineated a 50 m × 50 m plot (G plots), in which sheep, cattle, and horses were allowed to graze continuously during the vegetative period (May-November). Both sites are located in a flat terrain and have similar environmental characteristics and grazing pressures (<xref ref-type="table" rid="T1">Table 1</xref>). Species composition was not significantly different between E and G plots prior to fence establishment in May 2005 (<xref ref-type="bibr" rid="B30">Odriozola <italic>et al.</italic>, 2017</xref>). Soil from each plot was analyzed in July 2010 to measure pH, Kjeldahl total N (mg L<sup>‒1</sup>), available phosphorus (P; mg L<sup>‒1</sup>), available potassium (K; mg L<sup>‒1</sup>), calcium (Ca; mg L<sup>‒1</sup>), and magnesium (Mg; mg L<sup>‒1</sup>). Soil water content was measured at 15 cm soil depth and at 2 h intervals from June 2010 to October 2011, using Em50 data loggers connected to an ECH20 sensor system (Decagon Devices Inc., Pullman, WA, USA).</p>
				<table-wrap id="T1">
					<label>Table 1:</label>
					<caption>
						<title>Elevation, mean soil water content (MSWC, cm<sup>3</sup> cm<sup>‒3</sup>) pH, soil nitrogen (mg L<sup>‒1</sup>), soil phosphorous (mg L<sup>‒1</sup>), soil potassium (mg L<sup>‒1</sup>), soil calcium (mg L<sup>‒1</sup>), soil magnesium (mg L<sup>‒1</sup>), soil texture, and grazing intensity measured in two Iberian Atlantic grasslands (Alotza and Uzkuiti). LU, grazing livestock unit; cattle of over two years, 1.0 LU; sheep, 0.122 LU; horses, 1.2 LU.</title>
						<p xml:lang="es">Tabla 1: Altitud, media del contenido de agua en suelo (MSWC, cm<sup>3</sup> cm<sup>‒3</sup>) pH, nitrógeno en suelo (mg L<sup>‒1</sup>), fósforo en suelo (mg L<sup>‒1</sup>), potasio en suelo (mg L<sup>‒1</sup>), calcio en suelo (mg L<sup>‒1</sup>), magnesio en suelo (mg L<sup>‒1</sup>), textura del suelo, e intensidad de pastoreo medidas en dos pastos ibéricos atlánticos (Alotza y Uzkuiti). LU, unidad de ganado mayor; vacas mayores de 2 años, 1,0 LU; ovejas, 0,122 LU; caballos, 1,2 LU.</p>
					</caption>
					<table>
						<thead>
							<tr>
								<td rowspan="2"/>
								<th rowspan="2" align="center" valign="middle">Elevation (m)</th>
								<th rowspan="2" align="center" valign="middle">MSWC</th>
								<th rowspan="2" align="center" valign="middle">pH</th>
								<th rowspan="2" align="center" valign="middle">N</th>
								<th rowspan="2" align="center" valign="middle">P</th>
								<th rowspan="2" align="center" valign="middle">K</th>
								<th rowspan="2" align="center" valign="middle">Ca</th>
								<th rowspan="2" align="center" valign="middle">Mg</th>
								<th colspan="3" align="center" valign="middle">Soil texture</th>
								<th colspan="4" align="center" valign="middle">Grazing intensity</th>
							</tr>
							<tr>
								<th align="center" valign="middle">Clay (%)</th>
								<th align="center" valign="middle">Silt (%)</th>
								<th align="center" valign="middle">Sand (%)</th>
								<th align="center" valign="middle">L.U.</th>
								<th align="center" valign="middle">Sheep (%)</th>
								<th align="center" valign="middle">Horse (%)</th>
								<th align="center" valign="middle">Cattle (%)</th>
							</tr>
						</thead>
						<tbody>
							<tr>
								<td align="left" valign="middle">Alotza</td>
								<td align="center" valign="middle">1,225</td>
								<td align="center" valign="middle">0.29</td>
								<td align="center" valign="middle">5.1</td>
								<td align="center" valign="middle">6.27</td>
								<td align="center" valign="middle">7</td>
								<td align="center" valign="middle">97</td>
								<td align="center" valign="middle">389</td>
								<td align="center" valign="middle">70</td>
								<td align="center" valign="middle">44</td>
								<td align="center" valign="middle">39</td>
								<td align="center" valign="middle">17</td>
								<td align="center" valign="middle">4.5</td>
								<td align="center" valign="middle">54</td>
								<td align="center" valign="middle">12</td>
								<td align="center" valign="middle">34</td>
							</tr>
							<tr>
								<td align="left" valign="middle">Uzkuiti</td>
								<td align="center" valign="middle">1,300</td>
								<td align="center" valign="middle">0.40</td>
								<td align="center" valign="middle">5.1</td>
								<td align="center" valign="middle">5.33</td>
								<td align="center" valign="middle">6</td>
								<td align="center" valign="middle">83</td>
								<td align="center" valign="middle">413</td>
								<td align="center" valign="middle">85</td>
								<td align="center" valign="middle">42</td>
								<td align="center" valign="middle">38</td>
								<td align="center" valign="middle">20</td>
								<td align="center" valign="middle">4</td>
								<td align="center" valign="middle">40</td>
								<td align="center" valign="middle">26</td>
								<td align="center" valign="middle">34</td>
							</tr>
						</tbody>
					</table>
				</table-wrap>
			</sec>
			<sec id="S2.3">
				<label>2.3.</label>
				<title>Plant sampling and traits</title>
				<p>In June 2010, the floristic composition in each plot was determined in 15 randomly placed 1 × 1 m<sup>2</sup> quadrats. Species abundance was measured as canopy cover using the following index: presence (&lt;1%) and a scale from 1 (1-10%) to 10 (91-100%). Plant species nomenclature followed that of the standard floras (Table Al).</p>
				<p>In this study, we evaluated the traits of the five most abundant (structural) species, common bent (<italic>Agrostis capillaris</italic> L.), chewing fescue (<italic>Festuca nigrescens</italic> subsp. <italic>microphylla</italic> [St.-Yves] Markgr.-Dannenb.), heath bedstraw (<italic>Galium saxatile</italic> L.), field wood-rush (<italic>Luzula campestris</italic> [L.] DC), and white clover (<italic>Trifolium repens</italic> L.), which covered 88% of the total area in Alotza G, 89% of the total area in Alotza E, 82% of the total area in Uzkuiti G, and 84% of the total area in Uzkuiti E. For the characterization of species in G plots, four exclusion cages of 1 m<sup>2</sup> were placed at least 20 m away from each other in May 2012 prior to the grazing period to collect plants with no signs of defoliation by grazers or of trampling. In July 2012, the cages were removed, and individual plants were collected from each plot for evaluation.</p>
				<p>The following traits were used to assess the ecological response to grazing (i.e., response traits): plant height (H, cm) and specific leaf area (SLA, m<sup>2</sup> kg<sup>‒1</sup>), since they each represent two key dimensions of plant function (<xref ref-type="bibr" rid="B10">Díaz <italic>et al.</italic>, 2007</xref>, <xref ref-type="bibr" rid="B9">2016</xref>). H is related to successional status and response to grazing (<xref ref-type="bibr" rid="B10">Díaz <italic>et al.</italic>, 2007</xref>), and SLA is related to relative growth rate and resource utilization efficiency (<xref ref-type="bibr" rid="B43">Westoby <italic>et al.</italic>, 2002</xref>). The traits used to estimate forage nutritional value (i.e., effect traits) were leaf N content (LNC, mg g<sup>‒1</sup>) and carbon (C) to N ratio (CN). LNC is positively correlated to forage nutritional value and livestock productivity, and CN is related to fiber content and is negatively correlated with livestock productivity (<xref ref-type="bibr" rid="B21">Lee <italic>et al.</italic>, 2017</xref>). SLA, LNC, and CN were measured in seven randomly selected, fully grown, undamaged individuals from each species, whereas H was measured in 25 individuals from each species using a metallic ruler (<xref ref-type="bibr" rid="B6">Cornelissen <italic>et al.</italic>, 2003</xref>). SLA was defined as the one-sided area of a fresh leaf divided by its oven-dry mass. Hydrated and expanded leaves were scanned using an Epson Expression 10000 XL scanner (Epson, Suwa, Japan), and the area of each image (containing all the leaves of an individual) was measured using Win Folia 2008 (Regent Instruments, Ontario, Canada). The mass of the same leaves was measured using a precision balance after oven drying at 60°C for at least 72 h (<xref ref-type="bibr" rid="B6">Cornelissen <italic>et al.</italic>, 2003</xref>). After removing the petiole or rachis, powdered leaf samples were prepared and used to determine the C and N contents using combustion elemental analysis (<xref ref-type="bibr" rid="B3">AOAC, 1990</xref>). CN was obtained by dividing the C content by the N content per leaf dry mass.</p>
			</sec>
			<sec id="S2.4">
				<label>2.4.</label>
				<title>Data analysis</title>
				<p>Distance-based redundancy analysis (dbRDA) was applied to test the null hypothesis of no effect of grazing abandonment on the abundances of the five structural species (<xref ref-type="bibr" rid="B23">Legendre &amp; Legendre, 2012</xref>). The response matrix was created by Hellinger-transformation of the five-species composition matrix and computing Euclidean distances (<xref ref-type="bibr" rid="B22">Legendre &amp; Gallagher, 2001</xref>). Analysis of variance (ANOVA) was fitted to each of the five structural species and four traits (H, SLA, LNC, and CN) to test the null hypothesis of no effect of grazer exclusion in the ITV of measured traits. Tukey's post-hoc test was used to separate the means. In all analyses, site (Alotza &amp; Uzkuiti), treatment (G and E), and their interactions were used as explanatory variables.</p>
				<p>The relative contribution of species composition and ITV to community response under grazer exclusion conditions was determined as described by <xref ref-type="bibr" rid="B24">Lepš <italic>et al.</italic> (2011)</xref>. CWMs calculated using fixed trait averages (i.e., fixed mean trait value of each species for all individuals measured in the four plots) were only affected by changes in community floristic composition (species turnover), whereas CWMs calculated using specific trait averages for each field plot (i.e., specific mean trait value of each species in each plot) were affected by both changes in composition and ITV (i.e., ITV effect = specific average - fixed average). Linear models were used to test the null hypothesis of no effect of grazer exclusion on each community variable. Spearman correlation was performed to test the relationship between fixed and specific CWMs of response (H and SLA) and effect (LNC and CN) traits.</p>
				<p>Variations in each trait were partitioned into fixed effects (species turnover), ITV effects, and their covariation by using the sum of squares (SS) decomposition of ANOVAs or linear models. Total variation in specific averages is the total variation in community trait averages (i.e., variation in fixed averages and ITV effects). Thus, if SS<sub>specific</sub> = SS<sub>fixed</sub> + SS<sub>ITV</sub>, then changes in composition and ITV operate independently; if SS<sub>specific</sub> &gt; SS<sub>fixed</sub> + SS<sub>ITV</sub>, both effects are positively correlated; and if SS<sub>specific</sub> &lt; SS<sub>fixed</sub> + SS<sub>ITV</sub>, both effects are negatively correlated (<xref ref-type="bibr" rid="B24">Lepš <italic>et al.</italic>, 2011</xref>). The R code and data are provided in Supplementary Data B and C, respectively.</p>
			</sec>
		</sec>
		<sec id="S3">
			<label>3.</label>
			<title>Results</title>
			<sec id="S3.1">
				<label>3.1.</label>
				<title>Effect of grazing abandonment on structural species composition</title>
				<p>The permutation test of dbRDA revealed significant effects of grazing abandonment on the abundance of the five structural species (Table A2). <italic>T. repens</italic> was clearly associated with G plots, whereas <italic>G. saxatile</italic> was associated with E plots (<xref ref-type="fig" rid="F1">Figure 1</xref>). <italic>A. capillaris</italic> tended to be associated with E plots, whereas <italic>L. campestris</italic> and <italic>F. microphylla</italic> were not affected by the plot type (<xref ref-type="fig" rid="F1">Figure 1</xref>).</p>
				<fig id="F1">
					<label>Figure 1.</label>
					<caption>
						<title>Distance-based redundancy analysis (dbRDA) triplot for associating structural species composition to fixed factors. Structural species composition as constrained by fixed factors, site (Alotza, Uzkuiti) and treatment (G, E). Permutation analysis of the dbRDA is provided in Table A2. G, grazing; E, grazer exclusion; Agr cap, <italic>Agrostis capillaris</italic>; Fes mic, <italic>Festuca microphylla;</italic> Gal sax, <italic>Galium saxatile;</italic> Luz cam, <italic>Luzula campestris</italic>; Tri rep, <italic>Trifolium repetís</italic>. CAP1 and CAP2 represent the main and the second ordination axes respectively, in terms of represented variability.</title>
						<p xml:lang="es">Figura 1. Diagrama del análisis de redundancia basado en distancias (dbRDA) donde se asocia la composición de especies estructurales con los factores fijos. Composición de especies estructurales, constreñida por los factores fijos, Sitio (Alotza, Uzkuiti) y Tratamiento (G, E). El análisis de permutación del dbRDA ha sido presentado en la Tabla A2. G, pastoreo; E, exclusión; Agr cap, Agrostis capillaris; Fes mic, Festuca microphylla; Gal sax, Galium saxatile; Luz cam, Luzula campestris; Tri rep, Trifolium repens. CAP1 y CAP2 representan el primer y segundo eje de ordenación respectivamente, en términos de variabilidad representada.</p>
					</caption>
					<graphic xlink:href="pirineos_2019_174002_f01" xmlns:xlink="http://www.w3.org/1999/xlink"/>
				</fig>
			</sec>
			<sec id="S3.2">
				<label>3.2.</label>
				<title>Effect of grazing abandonment on ITV</title>
				<p>The five structural species had high ITV in all plots regarding the studied traits (<xref ref-type="table" rid="T2">Tables 2</xref>, A3). In E plots, H and SLA showed high ITV since the individuals of the same species were considerably taller and had lower SLA (<xref ref-type="table" rid="T2">Table 2</xref>). In G plots, species also tended to have higher LNC and lower CN; however, the results were not consistent. For instance, <italic>G. saxatile</italic> had low LNC in the G plot of Uzkuiti, but high LNC in the G plot of Alotza (<xref ref-type="table" rid="T2">Table 2</xref>). Moreover, the LNC and CN of <italic>F. microphylla</italic> and <italic>T. repens</italic> were not affected by the plot type (Table A3c, 3d); in all plots, <italic>F. microphylla</italic> had low LNC and high CN, whereas <italic>T. repens</italic> had the highest LNC and the lowest CN (<xref ref-type="table" rid="T2">Table 2</xref>).</p>
				<table-wrap id="T2">
					<label>Table 2:</label>
					<caption>
						<title>Fixed and specific descriptive statistics of measured traits in five structural species under grazing and grazer-exclusion conditions in two Iberian Atlantic grasslands (Alotza and Uzkuiti). Agr cap, <italic>Agrostis capillaris</italic>; Fes mic, <italic>Festuca microphylla</italic>; Gal sax, <italic>Galium saxatile</italic>; Luz cam, <italic>Luzula campestris</italic>; Tri rep, <italic>Trifolium repens</italic>. Results of two-way ANOVAs performed for each species and trait are shown in Table A3. Different letters indicate significant differences at <italic>P</italic> &lt; 0.05.</title>
						<p xml:lang="es">Tabla 2: Estadísticos descriptivos fijos y específicos de los atributos medidos en las cinco especies estructurales bajo condiciones de pastoreo y exclusión en dos pastos ibéricos atlánticos (Alotza y Uzkuiti). Agr cap, Agrostis capillaris; Fes mic, Festuca microphylla; Gal sax, Galium saxatile; Luz cam, Luzula campestris; Tri rep, Trifolium repens. Los resultados del ANOVA 2-factorial llevado a cabo para cada especie y atributo han sido presentados en la Table A3. Las diferentes letras indican diferencias significativas al P &lt; 0,05.</p>
					</caption>
					<table>
						<thead>
							<tr>
								<th rowspan="3"/>
								<th rowspan="2" colspan="2" align="center" valign="middle">Fixed</th>
								<th colspan="8" align="center" valign="middle">Specific</th>
							</tr>
							<tr>
								<th colspan="2" align="center" valign="middle">Alotza Grazing</th>
								<th colspan="2" align="center" valign="middle">Alotza Exclusion</th>
								<th colspan="2" align="center" valign="middle">Uzkuiti Grazing</th>
								<th colspan="2" align="center" valign="middle">Uzkuiti Exclusion</th>
							</tr>
							<tr>
								<th align="center" valign="middle">Mean</th>
								<th align="center" valign="middle">S.E.</th>
								<th align="center" valign="middle">Mean</th>
								<th align="center" valign="middle">S.E.</th>
								<th align="center" valign="middle">Mean</th>
								<th align="center" valign="middle">S.E.</th>
								<th align="center" valign="middle">Mean</th>
								<th align="center" valign="middle">S.E.</th>
								<th align="center" valign="middle">Mean</th>
								<th align="center" valign="middle">S.E.</th>
							</tr>
						</thead>
						<tbody>
							<tr>
								<td colspan="11" align="center" valign="middle">
									<bold>Height (cm)</bold>
								</td>
							</tr>
							<tr>
								<td align="left" valign="middle">Agr cap</td>
								<td align="center" valign="middle">15.1</td>
								<td align="center" valign="middle">0.8</td>
								<td align="center" valign="middle">7.5 A</td>
								<td align="center" valign="middle">0.5</td>
								<td align="center" valign="middle">14.9 B</td>
								<td align="center" valign="middle">0.7</td>
								<td align="center" valign="middle">11.7 C</td>
								<td align="center" valign="middle">0.4</td>
								<td align="center" valign="middle">26.4 D</td>
								<td align="center" valign="middle">1</td>
							</tr>
							<tr>
								<td align="left" valign="middle">Fes mic</td>
								<td align="center" valign="middle">15.7</td>
								<td align="center" valign="middle">0.7</td>
								<td align="center" valign="middle">8.9 A</td>
								<td align="center" valign="middle">0.8</td>
								<td align="center" valign="middle">14.7 B</td>
								<td align="center" valign="middle">0.5</td>
								<td align="center" valign="middle">12.3 C</td>
								<td align="center" valign="middle">0.3</td>
								<td align="center" valign="middle">27 D</td>
								<td align="center" valign="middle">0.6</td>
							</tr>
							<tr>
								<td align="left" valign="middle">Gal sax</td>
								<td align="center" valign="middle">8.7</td>
								<td align="center" valign="middle">0.4</td>
								<td align="center" valign="middle">5.1 A</td>
								<td align="center" valign="middle">0.5</td>
								<td align="center" valign="middle">8 B</td>
								<td align="center" valign="middle">0.4</td>
								<td align="center" valign="middle">6.9 B</td>
								<td align="center" valign="middle">0.3</td>
								<td align="center" valign="middle">14.6 C</td>
								<td align="center" valign="middle">0.5</td>
							</tr>
							<tr>
								<td align="left" valign="middle">Luz cam</td>
								<td align="center" valign="middle">10.4</td>
								<td align="center" valign="middle">0.5</td>
								<td align="center" valign="middle">6.2 A</td>
								<td align="center" valign="middle">0.5</td>
								<td align="center" valign="middle">10 B</td>
								<td align="center" valign="middle">0.6</td>
								<td align="center" valign="middle">8.1 B</td>
								<td align="center" valign="middle">0.3</td>
								<td align="center" valign="middle">17.2 C</td>
								<td align="center" valign="middle">0.7</td>
							</tr>
							<tr>
								<td align="left" valign="middle">Tri rep</td>
								<td align="center" valign="middle">7.1</td>
								<td align="center" valign="middle">0.3</td>
								<td align="center" valign="middle">5.1 A</td>
								<td align="center" valign="middle">0.4</td>
								<td align="center" valign="middle">7.5 B</td>
								<td align="center" valign="middle">0.3</td>
								<td align="center" valign="middle">7 B</td>
								<td align="center" valign="middle">0.5</td>
								<td align="center" valign="middle">8.9 B</td>
								<td align="center" valign="middle">0.6</td>
							</tr>
							<tr>
								<td colspan="11" align="center" valign="middle">
									<bold>SLA (m<sup>2</sup> kg<sup>‒1</sup>)</bold>
								</td>
							</tr>
							<tr>
								<td align="left" valign="middle">Agr cap</td>
								<td align="center" valign="middle">21.3</td>
								<td align="center" valign="middle">1.2</td>
								<td align="center" valign="middle">24.1 A</td>
								<td align="center" valign="middle">1.6</td>
								<td align="center" valign="middle">17.3 B</td>
								<td align="center" valign="middle">2</td>
								<td align="center" valign="middle">27 A</td>
								<td align="center" valign="middle">1.9</td>
								<td align="center" valign="middle">16.7 B</td>
								<td align="center" valign="middle">1.8</td>
							</tr>
							<tr>
								<td align="left" valign="middle">Fes mic</td>
								<td align="center" valign="middle">11.1</td>
								<td align="center" valign="middle">0.3</td>
								<td align="center" valign="middle">11.7 A</td>
								<td align="center" valign="middle">0.3</td>
								<td align="center" valign="middle">10.4 B</td>
								<td align="center" valign="middle">0.7</td>
								<td align="center" valign="middle">12.1 A</td>
								<td align="center" valign="middle">0.6</td>
								<td align="center" valign="middle">10.2 B</td>
								<td align="center" valign="middle">0.4</td>
							</tr>
							<tr>
								<td align="left" valign="middle">Gal sax</td>
								<td align="center" valign="middle">36.9</td>
								<td align="center" valign="middle">1.5</td>
								<td align="center" valign="middle">41.5 A</td>
								<td align="center" valign="middle">1.4</td>
								<td align="center" valign="middle">35.9 A</td>
								<td align="center" valign="middle">1.9</td>
								<td align="center" valign="middle">42.5 A</td>
								<td align="center" valign="middle">2.8</td>
								<td align="center" valign="middle">27.7 B</td>
								<td align="center" valign="middle">1.5</td>
							</tr>
							<tr>
								<td align="left" valign="middle">Luz cam</td>
								<td align="center" valign="middle">20.7</td>
								<td align="center" valign="middle">1.1</td>
								<td align="center" valign="middle">23.1 A</td>
								<td align="center" valign="middle">0.5</td>
								<td align="center" valign="middle">21.4 A</td>
								<td align="center" valign="middle">1</td>
								<td align="center" valign="middle">26.7 B</td>
								<td align="center" valign="middle">0.9</td>
								<td align="center" valign="middle">11.7 C</td>
								<td align="center" valign="middle">0.6</td>
							</tr>
							<tr>
								<td align="left" valign="middle">Tri rep</td>
								<td align="center" valign="middle">29.1</td>
								<td align="center" valign="middle">0.9</td>
								<td align="center" valign="middle">28.9 A</td>
								<td align="center" valign="middle">1.9</td>
								<td align="center" valign="middle">26.6 B</td>
								<td align="center" valign="middle">1.6</td>
								<td align="center" valign="middle">33 A</td>
								<td align="center" valign="middle">1.6</td>
								<td align="center" valign="middle">27.9 B</td>
								<td align="center" valign="middle">1.7</td>
							</tr>
							<tr>
								<td colspan="11" align="center" valign="middle">
									<bold>Leaf N content (mg g<sup>‒1</sup>)</bold>
								</td>
							</tr>
							<tr>
								<td align="left" valign="middle">Agr cap</td>
								<td align="center" valign="middle">18.3</td>
								<td align="center" valign="middle">0.7</td>
								<td align="center" valign="middle">18.7 A</td>
								<td align="center" valign="middle">0.8</td>
								<td align="center" valign="middle">14.4 B</td>
								<td align="center" valign="middle">0.2</td>
								<td align="center" valign="middle">22.7 C</td>
								<td align="center" valign="middle">1.1</td>
								<td align="center" valign="middle">17.3 A</td>
								<td align="center" valign="middle">1.1</td>
							</tr>
							<tr>
								<td align="left" valign="middle">Fes mic</td>
								<td align="center" valign="middle">14.9</td>
								<td align="center" valign="middle">0.5</td>
								<td align="center" valign="middle">15.3 A</td>
								<td align="center" valign="middle">0.7</td>
								<td align="center" valign="middle">12.9 A</td>
								<td align="center" valign="middle">1.1</td>
								<td align="center" valign="middle">14.9 A</td>
								<td align="center" valign="middle">0.7</td>
								<td align="center" valign="middle">16.4 A</td>
								<td align="center" valign="middle">1.2</td>
							</tr>
							<tr>
								<td align="left" valign="middle">Gal sax</td>
								<td align="center" valign="middle">24.9</td>
								<td align="center" valign="middle">0.8</td>
								<td align="center" valign="middle">24.1 AB</td>
								<td align="center" valign="middle">1.3</td>
								<td align="center" valign="middle">28.9 C</td>
								<td align="center" valign="middle">0.9</td>
								<td align="center" valign="middle">26.2 AC</td>
								<td align="center" valign="middle">0.9</td>
								<td align="center" valign="middle">20.4 B</td>
								<td align="center" valign="middle">0.9</td>
							</tr>
							<tr>
								<td align="left" valign="middle">Luz cam</td>
								<td align="center" valign="middle">15</td>
								<td align="center" valign="middle">0.7</td>
								<td align="center" valign="middle">19 A</td>
								<td align="center" valign="middle">0.5</td>
								<td align="center" valign="middle">16.5 AB</td>
								<td align="center" valign="middle">1</td>
								<td align="center" valign="middle">14.4 B</td>
								<td align="center" valign="middle">0.8</td>
								<td align="center" valign="middle">10.1 C</td>
								<td align="center" valign="middle">0.3</td>
							</tr>
							<tr>
								<td align="left" valign="middle">Tri rep</td>
								<td align="center" valign="middle">35.3</td>
								<td align="center" valign="middle">1.3</td>
								<td align="center" valign="middle">31.9 A</td>
								<td align="center" valign="middle">2.5</td>
								<td align="center" valign="middle">29.7 A</td>
								<td align="center" valign="middle">1.4</td>
								<td align="center" valign="middle">40 B</td>
								<td align="center" valign="middle">2.3</td>
								<td align="center" valign="middle">39.7 B</td>
								<td align="center" valign="middle">1.1</td>
							</tr>
							<tr>
								<td colspan="11" align="center" valign="middle">
									<bold>Leaf C to N ratio</bold>
								</td>
							</tr>
							<tr>
								<td align="left" valign="middle">Agr cap</td>
								<td align="center" valign="middle">25.4</td>
								<td align="center" valign="middle">0.9</td>
								<td align="center" valign="middle">24.3 A</td>
								<td align="center" valign="middle">0.9</td>
								<td align="center" valign="middle">31.1 B</td>
								<td align="center" valign="middle">0.5</td>
								<td align="center" valign="middle">19.9 C</td>
								<td align="center" valign="middle">0.8</td>
								<td align="center" valign="middle">26.3 A</td>
								<td align="center" valign="middle">1.6</td>
							</tr>
							<tr>
								<td align="left" valign="middle">Fes mic</td>
								<td align="center" valign="middle">31</td>
								<td align="center" valign="middle">1.1</td>
								<td align="center" valign="middle">29.8 AB</td>
								<td align="center" valign="middle">1.6</td>
								<td align="center" valign="middle">36 A</td>
								<td align="center" valign="middle">2.6</td>
								<td align="center" valign="middle">30.2 AB</td>
								<td align="center" valign="middle">1.3</td>
								<td align="center" valign="middle">28.1 B</td>
								<td align="center" valign="middle">1.9</td>
							</tr>
							<tr>
								<td align="left" valign="middle">Gal sax</td>
								<td align="center" valign="middle">20.7</td>
								<td align="center" valign="middle">0.7</td>
								<td align="center" valign="middle">21.1 A</td>
								<td align="center" valign="middle">1.2</td>
								<td align="center" valign="middle">17.2 B</td>
								<td align="center" valign="middle">0.5</td>
								<td align="center" valign="middle">19.3 AB</td>
								<td align="center" valign="middle">0.7</td>
								<td align="center" valign="middle">25.4 C</td>
								<td align="center" valign="middle">1.3</td>
							</tr>
							<tr>
								<td align="left" valign="middle">Luz cam</td>
								<td align="center" valign="middle">32.4</td>
								<td align="center" valign="middle">1.6</td>
								<td align="center" valign="middle">23.9 A</td>
								<td align="center" valign="middle">0.7</td>
								<td align="center" valign="middle">28.2 AB</td>
								<td align="center" valign="middle">1.8</td>
								<td align="center" valign="middle">32.5 B</td>
								<td align="center" valign="middle">1.6</td>
								<td align="center" valign="middle">44.9 C</td>
								<td align="center" valign="middle">1.3</td>
							</tr>
							<tr>
								<td align="left" valign="middle">Tri rep</td>
								<td align="center" valign="middle">13.6</td>
								<td align="center" valign="middle">0.6</td>
								<td align="center" valign="middle">15.1 A</td>
								<td align="center" valign="middle">1.6</td>
								<td align="center" valign="middle">15.4 A</td>
								<td align="center" valign="middle">0.6</td>
								<td align="center" valign="middle">12.3 B</td>
								<td align="center" valign="middle">0.7</td>
								<td align="center" valign="middle">11.6 B</td>
								<td align="center" valign="middle">0.3</td>
							</tr>
						</tbody>
					</table>
				</table-wrap>
			</sec>
			<sec id="S3.3">
				<label>3.3.</label>
				<title>Relative contribution of species turnover and ITV to the response to grazing abandonment</title>
				<p>Weak and inconsistent effects of grazing abandonment were observed when CWMs based on fixed trait averages were considered (<xref ref-type="fig" rid="F2">Figure 2</xref>). H and CN tended to be higher, whereas LNC tended to be lower in E plots (<xref ref-type="fig" rid="F2">Figure 2A, C, and D</xref>). However, SLA was reduced in the E plot of Alotza but increased in the E plot of Uzkuiti (<xref ref-type="fig" rid="F2">Figure 2B</xref>). However, strong and consistent effects of grazing abandonment were observed when specific CWMs were considered (<xref ref-type="fig" rid="F2">Figure 2</xref>). H and CN were markedly higher, whereas SLA and LNC were markedly lower in E plots (<xref ref-type="fig" rid="F2">Figure 2</xref>). Additionally, strong correlations were observed between response (H and SLA) and effect (LNC and CN) traits using both fixed and specific CWMs (<xref ref-type="table" rid="T3">Table 3</xref>). Plots with high H had low SLA and LNC but high CN; accordingly, plots with low H had high SLA and LNC but low CN (<xref ref-type="table" rid="T3">Table 3</xref>). Species turnover and ITV selected similar H values after grazing abandonment, i.e., turnover and ITV effects were positively correlated; however, the contribution of turnover was almost negligible (<xref ref-type="fig" rid="F3">Figure 3A</xref>). The difference in SLA between grazing regimes was mainly due to intraspecific variability; however, the interaction fraction (Site × Treatment bar in <xref ref-type="fig" rid="F3">Figure 3B</xref>) showed negative covariance between turnover and ITV. This reflects the fact that while individuals of the same species presented lower SLA in the E plot of Uzkuiti, species with higher fixed SLA were more abundant in the same plot (<xref ref-type="fig" rid="F2">Figure 2B</xref>). This inconsistency between turnover and ITV was not observed in Alotza (<xref ref-type="fig" rid="F2">Figure 2B</xref>). For LNC and CN, turnover and ITV effects were important and consistent, i.e., both effects were positively correlated, and selected similar trait values (i.e., low LNC and high CN) after grazing abandonment (<xref ref-type="fig" rid="F3">Figures 3C-3D</xref>).</p>
				<fig id="F2">
					<label>Figure 2.</label>
					<caption>
						<title>Fixed and specific community weighted means (CWMs) of measured traits in five structural species under grazing (G) and grazer-exclusion (E) conditions in two Iberian Atlantic grasslands (Alotza and Uzkuiti). Error bars represent 95% confidence intervals.</title>
						<p xml:lang="es">Figura 2. Medias ponderadas a nivel de comunidad (CWMs) fijas y específicas de los atributos medidos en las cinco especies estructurales bajo condiciones de pastoreo (G) y exclusión (E) en dos pastos ibéricos atlánticos (Alotza y Uzkuiti). Las barras de error representan el intervalo de confianza del 95%.</p>
					</caption>
					<graphic xlink:href="pirineos_2019_174002_f02" xmlns:xlink="http://www.w3.org/1999/xlink"/>
				</fig>
				<fig id="F3">
					<label>Figure 3.</label>
					<caption>
						<title>Decomposition of specific community weighted mean (CWM) variability into species turnover and intraspecific variability effects. Dark grey, changes in species composition; pale grey, changes in intraspecific variability. Black horizontal bars denote total variation (variation in specific averages). Fractions correspond to mean squares taken from ANOVA tables in Table A4. Space between the top of the column and the bar corresponds to covariation. Bar above the column indicates positive covariation/positive correlation between species turnover and intraspecific variability; bar across a column indicates negative covariation/negative correlation between species turnover and intraspecific variability; bar at the top of a column indicates independent effects. Values were standardized by total variation in specific averages.</title>
						<p xml:lang="es">Figura 3. Descomposición de la variabilidad de la media ponderada a nivel de comunidad (CWM) específica en los efectos debidos al recambio de especies y a la variabilidad intraespecifica. Gris oscuro, cambios en la composición de especies; gris claro, cambios en la variabilidad intraespecífica. Las barras negras horizontales indican la variación total (variación en medias específicas). Las fracciones corresponden a las medias cuadradas tomadas de las tablas de ANOVA de la Tabla A4. El espacio entre la parte superior de la columna y la barra corresponde a la covariación. La barra por encima de la columna indica una covariación positiva/correlación positiva entre el recambio de especies y la variabilidad intraespecífica; la barra que atraviesa la columna indica una covariación negativa/correlación negativa entre el recambio de especies y la variabilidad intraespecífica; La barra a la par de la parte superior de la columna indica efectos independientes. Los valores han sido estandarizados en base a la variación total de las medias específicas.</p>
					</caption>
					<graphic xlink:href="pirineos_2019_174002_f03" xmlns:xlink="http://www.w3.org/1999/xlink"/>
				</fig>
				<table-wrap id="T3">
					<label>Table 3:</label>
					<caption>
						<title>Spearman correlation between fixed and specific community weighted means (CWMs) of measured traits in five structural species under grazing and grazer-exclusion conditions in two Iberian Atlantic grasslands (Alotza and Uzkuiti). A) Spearman correlation coefficients for fixed CWMs; B) Spearman correlation coefficients for specific CWMs.</title>
						<p xml:lang="es">Tabla 3: Correlación Spearman entre las medias ponderadas a nivel de comunidad (CWMs) fijas y específicas de los atributos medidos en las cinco especies estructurales bajo condiciones de pastoreo y exclusión en dos pastos ibéricos atlánticos (Alotza y Uzkuiti). A) Coeficiente de correlación Spearman para CWMs fijas; B) Coeficiente de correlación Spearman para CWMs específicas.</p>
					</caption>
					<table>
						<thead>
							<tr>
								<th colspan="4" align="left" valign="middle">A)</th>
							</tr>
							<tr>
								<th/>
								<th align="center" valign="middle">Height</th>
								<th align="center" valign="middle">SLA</th>
								<th align="center" valign="middle">Leaf N content</th>
							</tr>
						</thead>
						<tbody>
							<tr>
								<td align="left" valign="middle">SLA</td>
								<td align="center" valign="middle">‒0.64 ***</td>
								<td align="center" valign="middle"/>
								<td align="center" valign="middle"/>
							</tr>
							<tr>
								<td align="left" valign="middle">Leaf N content</td>
								<td align="center" valign="middle">‒0 77 ***</td>
								<td align="center" valign="middle">0 54 ***</td>
								<td align="center" valign="middle"/>
							</tr>
							<tr>
								<td align="left" valign="middle">Leaf C to N ratio</td>
								<td align="center" valign="middle">0.62 ***</td>
								<td align="center" valign="middle">‒0.65 ***</td>
								<td align="center" valign="middle">‒0 94 ***</td>
							</tr>
						</tbody>
					</table>
					
					<table-wrap-foot>
						<p>NS <italic>P &gt;</italic> 0.05, <italic>* P &lt;</italic> 0.05, ** <italic>P &lt;</italic> 0.01, *** <italic>P &lt;</italic> 0.001.</p>
					</table-wrap-foot>
					</table-wrap>
					<table-wrap>
					<table>
						<thead>
							<tr>
								<th colspan="4" align="left" valign="middle">B)</th>
							</tr>
							<tr>
								<th/>
								<th align="center" valign="middle">Height</th>
								<th align="center" valign="middle">SLA</th>
								<th align="center" valign="middle">Leaf N content</th>
							</tr>
						</thead>
						<tbody>
							<tr>
								<td align="left" valign="middle">SLA</td>
								<td align="center" valign="middle">‒0 87 ***</td>
								<td align="center" valign="middle"/>
								<td align="center" valign="middle"/>
							</tr>
							<tr>
								<td align="left" valign="middle">LeafN content</td>
								<td align="center" valign="middle">‒0.65 ***</td>
								<td align="center" valign="middle">0.76 ***</td>
								<td align="center" valign="middle"/>
							</tr>
							<tr>
								<td align="left" valign="middle">Leaf C to N ratio</td>
								<td align="center" valign="middle">0.72 ***</td>
								<td align="center" valign="middle">‒0.80 ***</td>
								<td align="center" valign="middle">‒0.96 ***</td>
							</tr>
						</tbody>
					</table>
					<table-wrap-foot>
					<p>NS <italic>P &gt;</italic> 0.05, * <italic>P &lt;</italic> 0.05, ** <italic>P &lt;</italic> 0.01, *** <italic>P &lt;</italic> 0.001.</p>
					</table-wrap-foot>
				</table-wrap>
			</sec>
		</sec>
		<sec id="S4">
			<label>4.</label>
			<title>Discussion</title>
			<p>Grasslands provide multiple ecosystem services, including forage supply for livestock (<xref ref-type="bibr" rid="B19">Herrero <italic>et al.</italic>, 2015</xref>). However, information on the maintenance of plant traits that support forage nutritional value in grasslands is limited (<xref ref-type="bibr" rid="B32">Parsons <italic>et al.</italic>, 2011</xref>). Consequently, decision making is conducted based on empirical observations of the performance of the grass crop, but the mechanisms behind this performance are rarely considered (<xref ref-type="bibr" rid="B36">Pontes <italic>et al.</italic>, 2015</xref>). In the present study, we aimed to investigate the underlying mechanisms of grassland community response to grazing using a framework based on plant traits (<xref ref-type="bibr" rid="B5">Cingolani <italic>et al.</italic>, 2005</xref>; <xref ref-type="bibr" rid="B7">Cruz <italic>et al.</italic>, 2010</xref>; <xref ref-type="bibr" rid="B8">Deléglise <italic>et al.</italic>, 2015</xref>; <xref ref-type="bibr" rid="B29">Moreno García <italic>et al.</italic>, 2014</xref>; <xref ref-type="bibr" rid="B35">Pontes <italic>et al.</italic>, 2010</xref>, <xref ref-type="bibr" rid="B37">2007</xref>). To our knowledge, this is the first study of forage quality that has measured the relative contribution of species turnover and ITV after grazing abandonment by using a specific statistical methodology.</p>
			<sec id="S4.1">
				<label>4.1.</label>
				<title>Community response to grazing abandonment and effects on forage quality</title>
				<p>The present study showed that the plant community had low aggregated values of H and high aggregated values of SLA under grazing conditions; however, this trend was reversed after grazing abandonment. These results were in agreement with those reported in previous studies (e.g., <xref ref-type="bibr" rid="B5">Cingolani <italic>et al.</italic>, 2005</xref>; <xref ref-type="bibr" rid="B7">Cruz <italic>et al.</italic>, 2010</xref>; <xref ref-type="bibr" rid="B13">Evju <italic>et al.</italic>, 2009</xref>; <xref ref-type="bibr" rid="B29">Moreno García <italic>et al.</italic>, 2014</xref>; <xref ref-type="bibr" rid="B34">Peco <italic>et al.</italic>, 2017</xref>), suggesting that tolerance to grazing is the main strategy against defoliation by herbivores in productive grasslands with a long history of grazing (<xref ref-type="bibr" rid="B5">Cingolani <italic>et al.</italic>, 2005</xref>; <xref ref-type="bibr" rid="B10">Díaz <italic>et al.</italic>, 2007</xref>). Response traits H and SLA were strongly associated with the effect traits LNC and CN, revealing that the shift in trait composition following the change in grassland strategy after grazing abandonment (from tolerance to grazing, to aboveground competition) explains the decline in forage quality reported in these grassland sites (<xref ref-type="bibr" rid="B31">Odriozola <italic>et al.</italic>, 2014</xref>). Theoretically, grazing tolerance requires high SLA, which increases shoot regrowth capacity (<xref ref-type="bibr" rid="B42">Westoby, 1999</xref>), and high LNC, which improves leaf quality and selectivity by herbivores (<xref ref-type="bibr" rid="B5">Cingolani <italic>et al.</italic>, 2005</xref>). However, light competition requires increased H to capture the light and a conservative resource utilization (i.e., low SLA) for a higher investment in structural components (i.e., high CN) (<xref ref-type="bibr" rid="B5">Cingolani <italic>et al.</italic>, 2005</xref>).</p>
				<p>The production of forage of high quality under grazing conditions has been also reported in other sub-humid and humid grasslands where tolerance is the plant community strategy against herbivores (<xref ref-type="bibr" rid="B5">Cingolani <italic>et al.</italic>, 2005</xref>; <xref ref-type="bibr" rid="B7">Cruz <italic>et al.</italic>, 2010</xref>; <xref ref-type="bibr" rid="B8">Deléglise <italic>et al.</italic>, 2015</xref>). This has also been observed in the semi-arid grasslands of South Africa (<xref ref-type="bibr" rid="B29">Moreno García <italic>et al.</italic>, 2014</xref>), although intense grazing areas coincided with water points in this case. By contrast, in the mesic grasslands of France, where tolerance is combined with avoidance, some species showed reduced SLA and LNC with cutting (<xref ref-type="bibr" rid="B35">Pontes <italic>et al.</italic>, 2010</xref>, <xref ref-type="bibr" rid="B37">2007</xref>). Our results were in agreement with those of humid grasslands since the mean annual precipitation in Iberian Atlantic grasslands is 1,330 mm. Fertilization favors a resource acquisition strategy and may also improve forage quality (<xref ref-type="bibr" rid="B35">Pontes <italic>et al.</italic>, 2010</xref>, <xref ref-type="bibr" rid="B37">2007</xref>). Since defoliation by herbivores is always coupled with fertilization by urine and feces (<xref ref-type="bibr" rid="B25">Lezama &amp; Paruelo, 2016</xref>), community response is probably a combination of tolerance to defoliation and response to fertilization, but these two effects cannot be disentangled in our study.</p>
			</sec>
			<sec id="S4.2">
				<label>4.2.</label>
				<title>Species turnover and ITV effects on the response to grazing abandonment</title>
				<p>In agreement with the results of previous studies, the traits measured in the present study showed high ITV (<xref ref-type="bibr" rid="B1">Albert <italic>et al.</italic>, 2010</xref>; <xref ref-type="bibr" rid="B6">Cornelissen <italic>et al.</italic>, 2003</xref>; <xref ref-type="bibr" rid="B24">Lepš <italic>et al.</italic>, 2011</xref>; <xref ref-type="bibr" rid="B43">Westoby <italic>et al.</italic>, 2002</xref>). <xref ref-type="bibr" rid="B37">Pontes <italic>et al.</italic> (2007)</xref> observed higher between-species variation than within-species variation. We also found that species could be distinguished based on the mean values of traits; however, the exclusion of ITV resulted in a clear underestimation of community response to grazing abandonment for all traits. Similarly, <xref ref-type="bibr" rid="B21">Lee <italic>et al.</italic> (2017)</xref> claimed that intraspecific physiological response is an important driver of forage quality worldwide.</p>
				<p>We observed a mismatch between species turnover and ITV effects on the response to grazing abandonment for H and SLA; the effects of species turnover were very weak, whereas those of ITV were very strong. The lack of clear association of the tall grasses <italic>F. microphylla</italic> and <italic>A. capillaris</italic> with E plots along with the abundance of the short dicot <italic>G. saxatile</italic> might explain the weak species turnover effect. Five years after grazing abandonment, opposite effects of species turnover and ITV were observed for SLA in Uzkuiti, as indicated by the negative covariance between species turnover and ITV (<xref ref-type="fig" rid="F3">Figure 3B</xref>). This response was probably a result of the high abundance of <italic>G saxatile</italic> (very high SLA) in the E plot. However, long-term changes in floristic composition were observed after grazing abandonment (nine years in both sites): <italic>F. microphylla</italic> and <italic>A</italic>. <italic>capillaris</italic> became the most abundant species in the E plots (<xref ref-type="bibr" rid="B30">Odriozola <italic>et al.</italic>, 2017</xref>). Our results are in agreement with those reported by <xref ref-type="bibr" rid="B24">Lepš <italic>et al.</italic> (2011)</xref>, who suggested that ITV determines the resistance and stability of grasslands to short-term changes, while species turnover reflects processes associated with the resilience of grasslands to long-term changes.</p>
				<p>The contributions of species turnover and ITV were more equilibrated for LNC and CN. <italic>T. repens</italic>, which showed very high LNC and very low CN (<xref ref-type="table" rid="T2">Table 2</xref>), was the most sensitive species to grazing abandonment and was clearly more abundant on G plots. This species is highly digestible and nutrient-rich, and is widely cultivated for animal nutrition (<xref ref-type="bibr" rid="B32">Parsons <italic>et al.</italic>, 2011</xref>). Our results demonstrated that <italic>T. repens</italic> is fundamental for maintaining the high nutritional value of Iberian Atlantic grasslands.</p>
			</sec>
			<sec id="S4.3">
				<label>4.3.</label>
				<title>Management implications</title>
				<p>Previous studies have reported reductions in forage quantity along with improvement in quality under grazing conditions (<xref ref-type="bibr" rid="B7">Cruz <italic>et al.</italic>, 2010</xref>; <xref ref-type="bibr" rid="B8">Deléglise <italic>et al.</italic>, 2015</xref>; <xref ref-type="bibr" rid="B29">Moreno García <italic>et al.</italic>, 2014</xref>). Accordingly, an increase in the annual aboveground net primary productivity has been observed in Iberian Atlantic grasslands after grazing abandonment (unpublished data). <xref ref-type="bibr" rid="B7">Cruz <italic>et al.</italic> (2010)</xref> claimed that the reduction in forage availability under grazing conditions is incompatible with the high animal productivity, whereas <xref ref-type="bibr" rid="B29">Moreno García <italic>et al.</italic> (2014)</xref> argued that the improved forage quality might compensate the reduction in quantity. It is widely accepted that both forage digestibility and nutritive value have direct effects on animal performance (<xref ref-type="bibr" rid="B19">Herrero <italic>et al.</italic>, 2015</xref>; <xref ref-type="bibr" rid="B21">Lee <italic>et al.</italic>, 2017</xref>). Additionally, although short-term grazing abandonment positively affects grassland productivity, long-term grazing abandonment has negative effects because litter accumulation inhibits plant growth (<xref ref-type="bibr" rid="B33">Patton <italic>et al.</italic>, 2007</xref>).</p>
				<p>Our study revealed that ITV responded quickly to grazing abandonment and determined the short-term changes in forage quality. Strong species turnover effects may appear after long-term grazing abandonment when tall grasses with tissue of low quality outcompete high forage quality species (<xref ref-type="bibr" rid="B30">Odriozola <italic>et al.</italic>, 2017</xref>). The use of mountain grasslands by domestic livestock has declined slowly in most of the Pyrenean-Basque-Cantabrian grassland systems (<xref ref-type="bibr" rid="B39">Ruiz <italic>et al.</italic>, 2009</xref>), and significant management changes, including shorter duration in upland grasslands, lower stocking rate, and less shepherd control, have been identified (<xref ref-type="bibr" rid="B2">Aldezabal <italic>et al.</italic>, 2015</xref>). Our study suggested that an active management system of livestock herds is necessary to prevent damage to grasslands associated with long periods of grazing abandonment. Short-term ITV-based changes in forage nutritional value are easily reversible; however, recovery times are much longer when changes are caused by species turnover effects, and high tissue quality species may be reduced in abundance or eliminated. This study also identified <italic>T. repens</italic> as a key indicator of forage quality and successional status in Iberian Atlantic grasslands.</p>
			</sec>
		</sec>
	</body>
	<back>
		<ack id="S5">
			<title>Acknowledgements</title>
			<p>The authors would like to thank Nuria Vítores (postgraduate student of UPV/EHU), Jon Miranda (postdoc researcher of UPV/EHU) and Joxe Antonio Irastortza (guard of the Aralar Natural Park) for their technical assistance. This study was funded by the Basque Government (IT1022-15), the Ministry of Economy and Competitiveness of Spanish Government (ref: AGL2013-48361-C2-1-R), and an FPI-EHU grant provided to I.O.</p>
		</ack>
		<glossary>
			<title id="S6">Abbreviations</title>
			<def-list>
				<title>Abbreviations</title>
				<def-item>
					<term>ITV</term>
					<def>
						<p>intraspecific trait variability</p>
					</def>
				</def-item>
				<def-item>
					<term>SLA</term>
					<def>
						<p>specific leaf area</p>
					</def>
				</def-item>
				<def-item>
					<term>H</term>
					<def>
						<p>plant height</p>
					</def>
				</def-item>
				<def-item>
					<term>CN</term>
					<def>
						<p>plant carbon to nitrogen ratio</p>
					</def>
				</def-item>
				<def-item>
					<term>CWM</term>
					<def>
						<p>community weighted mean</p>
					</def>
				</def-item>
				<def-item>
					<term>dbRDA</term>
					<def>
						<p>distance-based redundancy analysis</p>
					</def>
				</def-item>
			</def-list>
		</glossary>
		<ref-list id="S7">
			<title>References</title>
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					<source>Journal of Ecology</source>
					<volume>98</volume>
					<fpage>604</fpage>
					<lpage>613</lpage>
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							<surname>Moragues</surname>
							<given-names>L.</given-names>
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							<surname>Odriozola</surname>
							<given-names>I.</given-names>
						</name>
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							<surname>Mijangos</surname>
							<given-names>I.</given-names>
						</name>
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			<title>Supplementary material</title>
			<p>Appendix A.</p>
			<p>Appendix B.</p>
			<p>Appendix C.</p>
		</sec>
	</back>
</article>
