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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Plant Sci.</journal-id>
<journal-title>Frontiers in Plant Science</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Plant Sci.</abbrev-journal-title>
<issn pub-type="epub">1664-462X</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3389/fpls.2017.02268</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Plant Science</subject>
<subj-group>
<subject>Original Research</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>Quantitative Palynology Informing Conservation Ecology in the Bohemian/Bavarian Forests of Central Europe</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author" corresp="yes">
<name><surname>Carter</surname> <given-names>Vachel A.</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="author-notes" rid="fn001"><sup>&#x0002A;</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/366050/overview"/>
</contrib>
<contrib contrib-type="author">
<name><surname>Chiverrell</surname> <given-names>Richard C.</given-names></name>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/503930/overview"/>
</contrib>
<contrib contrib-type="author">
<name><surname>Clear</surname> <given-names>Jennifer L.</given-names></name>
<xref ref-type="aff" rid="aff3"><sup>3</sup></xref>
<xref ref-type="aff" rid="aff4"><sup>4</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/424988/overview"/>
</contrib>
<contrib contrib-type="author">
<name><surname>Kuosmanen</surname> <given-names>Niina</given-names></name>
<xref ref-type="aff" rid="aff4"><sup>4</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/513271/overview"/>
</contrib>
<contrib contrib-type="author">
<name><surname>Moravcov&#x000E1;</surname> <given-names>Alice</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/513263/overview"/>
</contrib>
<contrib contrib-type="author">
<name><surname>Svoboda</surname> <given-names>Miroslav</given-names></name>
<xref ref-type="aff" rid="aff4"><sup>4</sup></xref>
</contrib>
<contrib contrib-type="author">
<name><surname>Svobodov&#x000E1;-Svitavsk&#x000E1;</surname> <given-names>Helena</given-names></name>
<xref ref-type="aff" rid="aff5"><sup>5</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/513306/overview"/>
</contrib>
<contrib contrib-type="author">
<name><surname>van Leeuwen</surname> <given-names>Jacqueline F. N.</given-names></name>
<xref ref-type="aff" rid="aff6"><sup>6</sup></xref>
</contrib>
<contrib contrib-type="author">
<name><surname>van der Knaap</surname> <given-names>Willem O.</given-names></name>
<xref ref-type="aff" rid="aff6"><sup>6</sup></xref>
</contrib>
<contrib contrib-type="author">
<name><surname>Kune&#x00161;</surname> <given-names>Petr</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/424125/overview"/>
</contrib>
</contrib-group>
<aff id="aff1"><sup>1</sup><institution>Department of Botany, Faculty of Science, Charles University</institution>, <addr-line>Prague</addr-line>, <country>Czechia</country></aff>
<aff id="aff2"><sup>2</sup><institution>Department of Geography and Planning, University of Liverpool</institution>, <addr-line>Liverpool</addr-line>, <country>United Kingdom</country></aff>
<aff id="aff3"><sup>3</sup><institution>Department of Geography and Environmental Science, Liverpool Hope University</institution>, <addr-line>Liverpool</addr-line>, <country>United Kingdom</country></aff>
<aff id="aff4"><sup>4</sup><institution>Department of Forest Ecology, Faculty of Forestry and Wood Sciences, Czech University of Life Sciences</institution>, <addr-line>Prague</addr-line>, <country>Czechia</country></aff>
<aff id="aff5"><sup>5</sup><institution>Institute of Botany, v.v.i., Czech Academy of Sciences</institution>, <addr-line>Pr&#x0016F;honice</addr-line>, <country>Czechia</country></aff>
<aff id="aff6"><sup>6</sup><institution>Institute of Plant Sciences and Oeschger Centre for Climate Change Research, University of Bern</institution>, <addr-line>Bern</addr-line>, <country>Switzerland</country></aff>
<author-notes>
<fn fn-type="edited-by"><p>Edited by: Jesse L. Morris, University of Utah, United States</p></fn>
<fn fn-type="edited-by"><p>Reviewed by: Heikki Tapani Sepp&#x000E4;, University of Helsinki, Finland; Ranae Dietzel, Iowa State University, United States</p></fn>
<fn fn-type="corresp" id="fn001"><p>&#x0002A;Correspondence: Vachel A. Carter <email>vachel.carter&#x00040;gmail.com</email></p></fn>
<fn fn-type="other" id="fn002"><p>This article was submitted to Agroecology and Land Use Systems, a section of the journal Frontiers in Plant Science</p></fn></author-notes>
<pub-date pub-type="epub">
<day>17</day>
<month>01</month>
<year>2018</year>
</pub-date>
<pub-date pub-type="collection">
<year>2017</year>
</pub-date>
<volume>8</volume>
<elocation-id>2268</elocation-id>
<history>
<date date-type="received">
<day>28</day>
<month>07</month>
<year>2017</year>
</date>
<date date-type="accepted">
<day>27</day>
<month>12</month>
<year>2017</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#x000A9; 2018 Carter, Chiverrell, Clear, Kuosmanen, Moravcov&#x000E1;, Svoboda, Svobodov&#x000E1;-Svitavsk&#x000E1;, van Leeuwen, van der Knaap and Kune&#x00161;.</copyright-statement>
<copyright-year>2018</copyright-year>
<copyright-holder>Carter, Chiverrell, Clear, Kuosmanen, Moravcov&#x000E1;, Svoboda, Svobodov&#x000E1;-Svitavsk&#x000E1;, van Leeuwen, van der Knaap and Kune&#x00161;</copyright-holder>
<license xlink:href="http://creativecommons.org/licenses/by/4.0/"><p>This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.</p></license>
</permissions>
<abstract><p>In 1927, the first pollen diagram was published from the Bohemian/Bavarian Forest region of Central Europe, providing one of the first qualitative views of the long-term vegetation development in the region. Since then significant methodological advances in quantitative approaches such as pollen influx and pollen-based vegetation models (e.g., Landscape Reconstruction Algorithm, LRA) have contributed to enhance our understanding of temporal and spatial ecology. These types of quantitative reconstructions are fundamental for conservation and restoration ecology because they provide long-term perspectives on ecosystem functioning. In the Bohemian/Bavarian Forests, forest managers have a goal to restore the original forest composition at mid-elevation forests, yet they rely on natural potential vegetation maps that do not take into account long-term vegetation dynamics. Here we reconstruct the Holocene history of forest composition and discuss the implications the LRA has for regional forest management and conservation. Two newly analyzed pollen records from Pr&#x000E1;&#x00161;ilsk&#x000E9; jezero and Rachelsee were compared to 10 regional peat bogs/mires and two other regional lakes to reconstruct total land-cover abundance at both the regional- and local-scales. The results demonstrate that spruce has been the dominant canopy cover across the region for the past 9,000 years at both high- (&#x0003E;900 m) and mid-elevations (&#x0003E;700&#x02013;900 m). At the regional-scale inferred from lake records, spruce has comprised an average of &#x0007E;50% of the total forest canopy; whereas at the more local-scale at mid-elevations, spruce formed &#x0007E;59%. Beech established &#x0007E;6,000 cal. years BP while fir established later around 5,500 cal. years BP. Beech and fir growing at mid-elevations reached a maximum land-cover abundance of 24% and 13% roughly 1,000 years ago. Over the past 500 years spruce has comprised &#x0007E;47% land-cover, while beech and fir comprised &#x0007E;8% and &#x0003C;5% at mid-elevations. This approach argues for the &#x0201C;natural&#x0201D; development of spruce and fir locally in zones where the paleoecology indicates the persistence of these species for millennia. Contrasting local and regional reconstructions of forest canopy cover points to a patchwork mosaic with local variability in the dominant taxa. Incorporation of paleoecological data in dialogues about biodiversity and ecosystem management is an approach that has wider utility.</p></abstract>
<kwd-group>
<kwd>biodiversity</kwd>
<kwd>Holocene</kwd>
<kwd>land-cover</kwd>
<kwd>palynology</kwd>
<kwd>pollen</kwd>
<kwd>REVEALS</kwd>
</kwd-group>
<contract-num rid="cn001">16-06915S</contract-num>
<contract-num rid="cn001">16-23183Y</contract-num>
<contract-sponsor id="cn001">Grantov&#x000E1; Agentura &#x0010C;esk&#x000E9; Republiky<named-content content-type="fundref-id">10.13039/501100001824</named-content></contract-sponsor>
<counts>
<fig-count count="6"/>
<table-count count="2"/>
<equation-count count="0"/>
<ref-count count="80"/>
<page-count count="14"/>
<word-count count="9378"/>
</counts>
</article-meta>
</front>
<body>
<sec sec-type="intro" id="s1">
<title>Introduction</title>
<p>Quantitative reconstructions are fundamental for providing long-term perspectives of ecosystem processes because they can be used to develop baselines for conservation and restoration ecology (National Research Council, <xref ref-type="bibr" rid="B52">2005</xref>; Froyd and Willis, <xref ref-type="bibr" rid="B23">2008</xref>). Paleoecological records have utility in conservation strategies related to biodiversity maintenance, ecosystem naturalness, conservation evaluation, habitat alteration, changing disturbance regimes, and species invasions (e.g., Birks, <xref ref-type="bibr" rid="B7">1996</xref>; Jackson, <xref ref-type="bibr" rid="B35">1997</xref>; Landres et al., <xref ref-type="bibr" rid="B43">1999</xref>; Swetnam et al., <xref ref-type="bibr" rid="B71">1999</xref>; Foster et al., <xref ref-type="bibr" rid="B22">2003</xref>; Gillson and Willis, <xref ref-type="bibr" rid="B26">2004</xref>). Unfortunately, paleoecological research is still largely ignored by conservation biologists and conservationists (Willis and Birks, <xref ref-type="bibr" rid="B78">2006</xref>; Birks, <xref ref-type="bibr" rid="B8">2012</xref>). In 1916, Lennart von Post published the first pollen diagram, providing one of the first qualitative reconstructions of vegetation change that extended over millennial timescales, as well as benchmarking the foundation of palynology (Manten, <xref ref-type="bibr" rid="B47">1967</xref>). M&#x000FC;ller (<xref ref-type="bibr" rid="B51">1927</xref>) published the first pollen diagram from the Bohemian Forest more than a decade later. Over the past 100 years, palynology has developed from a qualitative tool to a more quantitative analysis of vegetation dynamics that is increasingly well constrained in time (Davis, <xref ref-type="bibr" rid="B16">2000</xref>).</p>
<p>Pollen diagrams produced from mires, peat bogs, and lake sediment profiles, with the data expressed as percentages against time or depth, have been the main way to present data (e.g., Stalling, <xref ref-type="bibr" rid="B61">1987</xref>; Knipping, <xref ref-type="bibr" rid="B38">1989</xref>; Svobodov&#x000E1; et al., <xref ref-type="bibr" rid="B69">2001</xref>, <xref ref-type="bibr" rid="B70">2002</xref>; Jankovsk&#x000E1;, <xref ref-type="bibr" rid="B37">2006</xref>). While percentage pollen diagrams identify changes in vegetation through time, changes in one taxon can affect the percentage proportions of all other taxa. This effect, termed data-closure (Birks and Birks, <xref ref-type="bibr" rid="B6">1980</xref>), can produce disconnections between the trends of pollen and the actual vegetation land-cover. Several quantitative methodologies have been developed to address these issues. Data closure artifacts in pollen percentages can be identified by comparison with pollen influxes (i.e., pollen accumulation rates; grains cm<sup>&#x02212;2</sup> yr<sup>&#x02212;1</sup>), but this requires robust age-to-depth relationships for the sediments. Even then, both percentage and influx data fail to take account of differences in the ecological and environmental factors that influence pollen production and dispersal, nor do they define a spatial scale in reconstructions of vegetation cover (Loidi et al., <xref ref-type="bibr" rid="B45">2010</xref>; Loidi and Fern&#x000E1;ndez-Gonz&#x000E1;lez, <xref ref-type="bibr" rid="B44">2012</xref>). Additionally, because pollen influxes are dependent upon age-to-depth relationships, changes in sedimentation rates can influence pollen concentrations and the subsequent accuracy of influx calculations. Therefore, Sugita (<xref ref-type="bibr" rid="B64">2007a</xref>,<xref ref-type="bibr" rid="B65">b</xref>) developed the Landscape Reconstruction Algorithm (LRA) which incorporates pollen productivity and pollen dispersal capacity, as well as factors that influence pollen dispersal, such as the size and type of the sedimentation basin. Thus, the LRA provides a more quantitative approach of estimating past vegetation abundance in a defined space. The LRA has two steps: (1) the REgional Vegetation Estimates from Large Sites (REVEALS) model (Sugita, <xref ref-type="bibr" rid="B64">2007a</xref>) estimates pollen-derived regional vegetation cover from large sites (&#x0003E;100 ha) or alternatively many small sites across an area of 10<sup>6</sup> km<sup>2</sup> (e.g., Abraham et al., <xref ref-type="bibr" rid="B2">2014</xref>, <xref ref-type="bibr" rid="B3">2016</xref>); and (2) the LOcal Vegetation Estimates (LOVE) model (Sugita, <xref ref-type="bibr" rid="B65">2007b</xref>) uses the regional estimates from REVEALS to estimate pollen-derived local vegetation composition in smaller areas (5&#x02013;104 ha).</p>
<p>Long-term perspectives on forest dynamics are beneficial for conservation and restoration, and here we demonstrate the utility of quantitative palynological data in the management of Bohemian/Bavarian Forests, including the use of pollen influx data and pollen-landscape reconstruction models (e.g., REVEALS: Sugita, <xref ref-type="bibr" rid="B64">2007a</xref>). Abraham et al. (<xref ref-type="bibr" rid="B3">2016</xref>) used the REVEALS model to estimate vegetation cover by integrating pollen sequences from the &#x00160;umava region and estimate that spruce has comprised over 50% of the regional forest canopy for the past 7,000 years. Here, we synthesize two newly analyzed, well-dated pollen records from Pr&#x000E1;&#x00161;ilsk&#x000E9; jezero (&#x00160;umava, Bohemian Forest; Czech Republic) and Rachelsee (Bavarian Forest; Germany) and several previously analyzed pollen records from peat bogs/mires and lakes using multiple quantitative methods to determine the ecological development and vegetation change during the Holocene. The objectives are: (1) to critically evaluate the multiple quantitative approaches used in palynology to reconstruct the history of forest composition; and (2) to explore the utility of quantitative land-cover reconstructions in regional conservation and restoration.</p>
</sec>
<sec id="s2">
<title>Background: the bohemian/bavarian forest region of central Europe</title>
<p>The Bohemian/Bavarian Forest region of central Europe includes two national parks located along the border of the Czech Republic (&#x00160;umava National Park, Bohemian Forest), and Germany (Bavarian Forest National Park<xref ref-type="fn" rid="fn0001"><sup>1</sup></xref>, Bavarian Forest; Figure <xref ref-type="fig" rid="F1">1</xref>). Together, these two parks with their surrounding area comprise one of the largest forested landscapes in central Europe, which is home to many endangered flora (see K&#x00159;enov&#x000E1; and Hru&#x00161;ka, <xref ref-type="bibr" rid="B40">2012</xref>) and fauna, and provides a close-to-nature ecosystem of ecological value (Meyer et al., <xref ref-type="bibr" rid="B49">2009</xref>). The Bavarian Forest National Park was established in 1970 with part of &#x00160;umava declared a UNESCO Biosphere Reserve in 1990, and &#x00160;umava National Park established in 1991.</p>
<fig id="F1" position="float">
<label>Figure 1</label>
<caption><p>Site map of the Bohemian/Bavarian Forest region of central Europe. Non-lakes (i.e., bogs and/or forest mires) are indicated by a red cross. Newly analyzed lakes presented in this study are indicated by a blue cross. Previously published lakes are indicated by a black cross. The National Park boundaries are indicated by green (&#x00160;umava) and red (Bavarian Forest) solid lines.</p></caption>
<graphic xlink:href="fpls-08-02268-g0001.tif"/>
</fig>
<p>Subject to long-term human influence, management practices in the Bohemian/Bavarian Forests have ranged from natural development to intensive forest management which has modified both the structure and composition of the forest. Currently, the two parks are divided into wilderness (i.e., not managed), and non-wilderness (i.e., managed). Within the non-wilderness areas, management focuses on sanitary logging of spruce trees killed by previous disturbance events, specifically bark beetle outbreaks. Within &#x00160;umava National Park, forest management restoration practices involve reducing spruce populations from the current 84% to a target &#x0201C;natural&#x0201D; representation of 30&#x02013;40%, and increase beech (ca. 6%) and fir (ca. 1%) up to 35% (&#x00160;umava NP Authority). Forest management policies in the Czech Republic direct that the lands between 400 and 900 m altitude should be dominated by beech forests with spruce as a secondary component (Vacek and Mayov&#x000E1;, <xref ref-type="bibr" rid="B76">2000</xref>; Pru&#x00161;a, <xref ref-type="bibr" rid="B56">2001</xref>). This management plan is likely based on the Geobotanical Map (Miky&#x00161;ka et al., <xref ref-type="bibr" rid="B50">1968&#x02013;1972</xref>) and the Map of Potential Natural Vegetation (Neuh&#x000E4;uslov&#x000E1; et al., <xref ref-type="bibr" rid="B53">1998</xref>) with beech considered the natural dominant species at mid-elevations in central Europe (Ellenberg and Leuschner, <xref ref-type="bibr" rid="B17">1996</xref>). Within the Bavarian Forest National Park, land managers are concerned with the rapid decline of fir populations in valley bottoms and have focused their attention to factors that could facilitate the natural development of this species (Heurich and Englmaier, <xref ref-type="bibr" rid="B30">2010</xref>), rather than focusing on the removal of spruce which has doubled its range in the Bavarian Forest since the nineteenth century. This strategy is in response to previous paleoecological work documenting that the Bavarian Forests consisted of &#x0007E;32% fir &#x0007E;3,000 years ago (Stalling, <xref ref-type="bibr" rid="B61">1987</xref>).</p>
<p>Palynological research has a long history in the Bohemian/Bavarian region of central Europe with M&#x000FC;ller (<xref ref-type="bibr" rid="B51">1927</xref>) publishing one of the first qualitative glimpses of long-term vegetation development in pollen diagrams from several moors in the region (Figure <xref ref-type="fig" rid="F2">2</xref>). M&#x000FC;ller (<xref ref-type="bibr" rid="B51">1927</xref>) documented the long-term presence of spruce in the Bohemian/Bavarian Forests, but was unable to discuss these changes relative to time. With widespread application of radiocarbon dating, pollen data from peat sequences (i.e., small peaty wetlands within forests) in &#x00160;umava National Park confirm that spruce has dominated the forest canopy cover at elevations &#x0003E;700 m a.s.l. for the past 7,000&#x02013;8,000 years (Svobodov&#x000E1; et al., <xref ref-type="bibr" rid="B69">2001</xref>, <xref ref-type="bibr" rid="B70">2002</xref>). Notwithstanding the better chronological control, the reconstructions presented by Svobodov&#x000E1; et al. (<xref ref-type="bibr" rid="B69">2001</xref>, <xref ref-type="bibr" rid="B70">2002</xref>) are still limited in that; (1), pollen percentage diagrams offer a qualitative reconstruction of vegetation change through time; and (2) peat bogs/mires and wetlands capture changes in vegetation at various spatial scales [i.e., a forest-stand scale (forest mire) to the extra-local scale (open, wetland mire)]. Reconstructing extra-local to regional-scale vegetation changes is possible by analyzing sediments from lakes as well as open mires, which typically have a much larger pollen catchment area than forest mires. However, pollen-based land-cover models (i.e., REVEALS) are the best approach for reconstructing vegetation abundances at the regional-scale. Currently, the only quantitative land-cover reconstruction of vegetation change in the region using the REVEALS model (Sugita, <xref ref-type="bibr" rid="B64">2007a</xref>) and 14 sediment sequences suggests that spruce forests have comprised &#x0007E;50% of the forest canopy throughout the past &#x0007E;7,000 years (Abraham et al., <xref ref-type="bibr" rid="B3">2016</xref>). However, to develop more detailed descriptions of regional-scale vegetation dynamics, further quantitative data are needed. This study provides a more detailed description of land-cover change by analyzing lakes and peat bogs/mires that vary spatially across mid- (700&#x02013;900 m a.s.l.) and high-elevations (&#x0003E;900 m a.s.l.) from the Bohemian/Bavarian Forests (Table <xref ref-type="table" rid="T1">1</xref>), and addresses whether beech has been the dominant forest canopy type at mid-elevations over millennial time-scales.</p>
<fig id="F2" position="float">
<label>Figure 2</label>
<caption><p>Original pollen percentage diagram of Ferchenhaider Seefilz profile I from the Bohemian/Bavarian Forest region of central Europe. Digitized from M&#x000FC;ller (<xref ref-type="bibr" rid="B51">1927</xref>), and translated from German into English. Dominant species found in the Bohemian/Bavarian Forests are shown in color; spruce (green line), beech (gold line), and fir (light green line).</p></caption>
<graphic xlink:href="fpls-08-02268-g0002.tif"/>
</fig>
<table-wrap position="float" id="T1">
<label>Table 1</label>
<caption><p>Summary of age-depth relationships for Pr&#x000E1;&#x00161;ilsk&#x000E9; jezero (Core IDS, PRA-15GC2, PRA 15-2-1, and PRA 15-2-2), Czech Republic and Rachelsee (Core ID, RAA1-4), Germany.</p></caption>
<table frame="hsides" rules="groups">
<thead><tr>
<th valign="top" align="left"><bold>Depth (cm)</bold></th>
<th valign="top" align="left"><bold>Core ID</bold></th>
<th valign="top" align="center"><bold><sup>14</sup>C Age &#x000B1; 1&#x003C3;b</bold></th>
<th valign="top" align="center"><bold>Assigned <sup>210</sup>Pb (Year AD)</bold></th>
<th valign="top" align="center"><bold>Assigned age (cal yr BP)</bold></th>
<th valign="top" align="left"><bold>Material dated</bold></th>
<th valign="top" align="left"><bold>Lab ID Number</bold></th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">1,480</td>
<td valign="top" align="left">PRA 15-2GC</td>
<td/>
<td valign="top" align="center">2015 &#x000B1; 1</td>
<td valign="top" align="center">&#x02212;65</td>
<td/>
<td valign="top" align="left">Surface</td>
</tr>
<tr>
<td valign="top" align="left">1,480.5</td>
<td valign="top" align="left">PRA 15-2GC</td>
<td/>
<td valign="top" align="center">1995 &#x000B1; 2</td>
<td valign="top" align="center">&#x02212;55</td>
<td/>
<td valign="top" align="left">Pb210-1</td>
</tr>
<tr>
<td valign="top" align="left">1,481.5</td>
<td valign="top" align="left">PRA 15-2GC</td>
<td/>
<td valign="top" align="center">1986 &#x000B1; 3</td>
<td valign="top" align="center">&#x02212;36</td>
<td/>
<td valign="top" align="left">Pb210-2</td>
</tr>
<tr>
<td valign="top" align="left">1,482.5</td>
<td valign="top" align="left">PRA 15-2GC</td>
<td/>
<td valign="top" align="center">1976 &#x000B1; 4</td>
<td valign="top" align="center">&#x02212;26</td>
<td/>
<td valign="top" align="left">Pb210-3</td>
</tr>
<tr>
<td valign="top" align="left">1,483.5</td>
<td valign="top" align="left">PRA 15-2GC</td>
<td/>
<td valign="top" align="center">1963 &#x000B1; 4</td>
<td valign="top" align="center">&#x02212;13</td>
<td/>
<td valign="top" align="left">Pb210-4</td>
</tr>
<tr>
<td valign="top" align="left">1,484.5</td>
<td valign="top" align="left">PRA 15-2GC</td>
<td/>
<td valign="top" align="center">1943 &#x000B1; 5</td>
<td valign="top" align="center">7</td>
<td/>
<td valign="top" align="left">Pb210-5</td>
</tr>
<tr>
<td valign="top" align="left">1,485.5</td>
<td valign="top" align="left">PRA 15-2GC</td>
<td/>
<td valign="top" align="center">1918 &#x000B1; 7</td>
<td valign="top" align="center">32</td>
<td/>
<td valign="top" align="left">Pb210-6</td>
</tr>
<tr>
<td valign="top" align="left">1,486.5</td>
<td valign="top" align="left">PRA 15-2GC</td>
<td/>
<td valign="top" align="center">1889 &#x000B1; 9</td>
<td valign="top" align="center">61</td>
<td/>
<td valign="top" align="left">Pb210-7</td>
</tr>
<tr>
<td valign="top" align="left">1,487.5</td>
<td valign="top" align="left">PRA 15-2GC</td>
<td/>
<td valign="top" align="center">1861 &#x000B1; 12</td>
<td valign="top" align="center">89</td>
<td/>
<td valign="top" align="left">Pb210-8</td>
</tr>
<tr>
<td valign="top" align="left">1,500.5</td>
<td valign="top" align="left">PRA 15-2-1</td>
<td valign="top" align="center">590 &#x000B1; 30</td>
<td/>
<td/>
<td valign="top" align="left">Plant material</td>
<td valign="top" align="left">Poz-84783</td>
</tr>
<tr>
<td valign="top" align="left">1,539.2</td>
<td valign="top" align="left">PRA 15-2-1</td>
<td valign="top" align="center">2, 545 &#x000B1; 30</td>
<td/>
<td/>
<td valign="top" align="left">Plant material</td>
<td valign="top" align="left">Poz-81580</td>
</tr>
<tr>
<td valign="top" align="left">1,571.75</td>
<td valign="top" align="left">PRA 15-2-2</td>
<td valign="top" align="center">4, 040 &#x000B1; 35</td>
<td/>
<td/>
<td valign="top" align="left">Plant material</td>
<td valign="top" align="left">Poz-81582</td>
</tr>
<tr>
<td valign="top" align="left">1,599.75</td>
<td valign="top" align="left">PRA 15-2-2</td>
<td valign="top" align="center">5, 700 &#x000B1; 40</td>
<td/>
<td/>
<td valign="top" align="left">Plant material</td>
<td valign="top" align="left">Poz-81583</td>
</tr>
<tr>
<td valign="top" align="left">1,628.5</td>
<td valign="top" align="left">PRA 15-2-1</td>
<td valign="top" align="center">7, 055 &#x000B1; 40</td>
<td/>
<td/>
<td valign="top" align="left">Plant material</td>
<td valign="top" align="left">Poz-87722</td>
</tr>
<tr>
<td valign="top" align="left">1,628.5</td>
<td valign="top" align="left">PRA 15-2-2</td>
<td valign="top" align="center">7, 550 &#x000B1; 40</td>
<td/>
<td/>
<td valign="top" align="left">Plant material</td>
<td valign="top" align="left">Poz-80182</td>
</tr>
<tr>
<td valign="top" align="left">1,637</td>
<td valign="top" align="left">PRA 15-2-2</td>
<td valign="top" align="center">7, 460 &#x000B1; 40</td>
<td/>
<td/>
<td valign="top" align="left">Plant material</td>
<td valign="top" align="left">Poz-87724</td>
</tr>
<tr>
<td valign="top" align="left">1,651</td>
<td valign="top" align="left">PRA 15-2-2</td>
<td valign="top" align="center">8, 210 &#x000B1; 50</td>
<td/>
<td/>
<td valign="top" align="left">Plant material</td>
<td valign="top" align="left">Poz-84781</td>
</tr>
<tr>
<td valign="top" align="left">1,669.5</td>
<td valign="top" align="left">PRA 15-2-2</td>
<td valign="top" align="center">9, 330 &#x000B1; 60</td>
<td/>
<td/>
<td valign="top" align="left">Plant material</td>
<td valign="top" align="left">Poz-84780</td>
</tr>
<tr>
<td valign="top" align="left">1,690.25</td>
<td valign="top" align="left">PRA 15-2-2</td>
<td valign="top" align="center">9, 620 &#x000B1; 50</td>
<td/>
<td/>
<td valign="top" align="left">Plant material</td>
<td valign="top" align="left">Poz-80183</td>
</tr>
<tr>
<td valign="top" align="left">57</td>
<td valign="top" align="left">RAA-1</td>
<td valign="top" align="center">&#x02212;62 &#x000B1; 1</td>
<td/>
<td/>
<td/>
<td valign="top" align="left">Surface</td>
</tr>
<tr>
<td valign="top" align="left">117</td>
<td valign="top" align="left">RAA-1</td>
<td valign="top" align="center">693 &#x000B1; 30</td>
<td/>
<td/>
<td valign="top" align="left">Plant material</td>
<td valign="top" align="left">BE-3035</td>
</tr>
<tr>
<td valign="top" align="left">128</td>
<td valign="top" align="left">RAA-1</td>
<td valign="top" align="center">1, 170 &#x000B1; 29</td>
<td/>
<td/>
<td valign="top" align="left">Plant material</td>
<td valign="top" align="left">BE-3036</td>
</tr>
<tr>
<td valign="top" align="left">147</td>
<td valign="top" align="left">RAA-1</td>
<td valign="top" align="center">1, 861 &#x000B1; 22</td>
<td/>
<td/>
<td valign="top" align="left">Plant material</td>
<td valign="top" align="left">BE-3037</td>
</tr>
<tr>
<td valign="top" align="left">216</td>
<td valign="top" align="left">RAA-2</td>
<td valign="top" align="center">4, 910 &#x000B1; 35</td>
<td/>
<td/>
<td valign="top" align="left">Plant material</td>
<td valign="top" align="left">Poz-85119</td>
</tr>
<tr>
<td valign="top" align="left">276</td>
<td valign="top" align="left">RAA-3</td>
<td valign="top" align="center">9, 120 &#x000B1; 50</td>
<td/>
<td/>
<td valign="top" align="left">Plant material</td>
<td valign="top" align="left">Poz-85121</td>
</tr>
<tr>
<td valign="top" align="left">308</td>
<td valign="top" align="left">RAA-3</td>
<td valign="top" align="center">9, 980 &#x000B1; 60</td>
<td/>
<td/>
<td valign="top" align="left">Plant material</td>
<td valign="top" align="left">Poz-85122</td>
</tr>
<tr>
<td valign="top" align="left">371</td>
<td valign="top" align="left">RAA-4</td>
<td valign="top" align="center">11, 310 &#x000B1; 40</td>
<td/>
<td/>
<td valign="top" align="left">Organic sediment</td>
<td valign="top" align="left">Beta-420353</td>
</tr>
</tbody>
</table>
</table-wrap>
</sec>
<sec sec-type="methods" id="s3">
<title>Methods</title>
<sec>
<title>Core retrieval, sediment limnology, and radiocarbon dating</title>
<p>A 2.18 m sediment profile was collected in August 2015 from the deepest (14.8 m) part of Pr&#x000E1;&#x00161;ilsk&#x000E9; jezero (49&#x000B0; 04&#x02032; N, 13&#x000B0; 24&#x02032; E, 1,079 m a.s.l.) and is comprised of two parallel and overlapping cores (PRA 15-2-1 and PRA 15-2-2). The sediment profile was sampled from a floating platform using a hand-percussion Russian-style corer (1.5 &#x000D7; 0.075 m). The sediment&#x02013;water interface was collected using a 0.1 m diameter gravity corer (PRA15-2GC) (Boyle, <xref ref-type="bibr" rid="B11">1995</xref>). At Rachelsee (48&#x000B0; 58&#x02032; 29&#x0201D; N, 13&#x000B0; 24&#x02032; 7&#x0201D; E, 1,071 m a.s.l.), 11.8 m of sediment was collected in August 2012 at 12.5 m water depth using a Livingstone piston corer (Wright, <xref ref-type="bibr" rid="B79">1967</xref>) (RAA1-4). Sediment was not recovered between depths 0&#x02013;57 cm, therefore, the mud-water interface depth begins at 57 cm. Sediment age-depth relationships were established using <sup>14</sup>C radiocarbon dating at Pr&#x000E1;&#x00161;ilsk&#x000E9; jezero (<italic>n</italic> &#x0003D; 10) and Rachelsee (<italic>n</italic> &#x0003D; 7), with an additional <sup>210</sup>Pb series (Appleby, <xref ref-type="bibr" rid="B4">1978</xref>) at Pr&#x000E1;&#x00161;ilsk&#x000E9; jezero (Table <xref ref-type="table" rid="T1">1</xref>). For all sites, the geochronological data including the sediment surface were compiled within the Bayesian routine &#x0201C;BACON&#x0201D; (Blaauw and Christen, <xref ref-type="bibr" rid="B9">2011</xref>). This analysis partitioned both cores into 0.05 m thick sections and estimated the accumulation rates for each segment using a Markov Chain Monte Carlo (MCMC) approach (Christen and P&#x000E9;rez, <xref ref-type="bibr" rid="B15">2009</xref>). The analyses were constrained by a prior model of sediment accumulation rate (a gamma distribution with mean 50-year cm<sup>&#x02212;1</sup> and shape 1.5) and its variability (memory, a beta distribution with mean 0.5 and shape 16) for both sites. All <sup>14</sup>C ages were calibrated and modeled in &#x0201C;BACON&#x0201D; using the IntCal13 curve (Reimer et al., <xref ref-type="bibr" rid="B58">2013</xref>), with a Student-t distribution to account scatter in the <sup>14</sup>C measurements and to allow for statistical outliers (Blaauw and Christen, <xref ref-type="bibr" rid="B9">2011</xref>). The weighted mean modeled ages against depth were smoothed using a 21-point moving average (Figure <xref ref-type="fig" rid="F3">3</xref>).</p>
<fig id="F3" position="float">
<label>Figure 3</label>
<caption><p>Age-depth models for <bold>(A)</bold> Pr&#x000E1;&#x00161;ilsk&#x000E9; jezero, and <bold>(B)</bold> Rachelsee. Models were constructed using BACON. The weighted mean modeled ages against depth were smoothed using a 21-point moving average.</p></caption>
<graphic xlink:href="fpls-08-02268-g0003.tif"/>
</fig>
</sec>
<sec>
<title>Pollen analysis</title>
<p>At Pr&#x000E1;&#x00161;ilsk&#x000E9; jezero, pollen analysis was conducted at 1&#x02013;2 cm resolution throughout the core by V. A. Carter. For each sample, 0.5 cm<sup>&#x02212;3</sup> was processed using standard pollen procedures (Faegri et al., <xref ref-type="bibr" rid="B18">1989</xref>). At Rachelsee, pollen analysis was conducted at 1 cm resolution for 72&#x02013;124 cm, 2 cm for 126&#x02013;184 cm, and 4 cm for 188&#x02013;540 cm by J. F. N. van Leeuwen. The sediment between depths 57&#x02013;71 cm was too watery and could not be subsampled for pollen. Here, we present data from depths 72&#x02013;368 cm. At Rachelsee, a minimum of 300 tree pollen grains, and at Pr&#x000E1;&#x00161;ilsk&#x000E9; jezero, a minimum of 500 pollen grains were counted in each sample. A <italic>Lycopodium</italic> tablet with a known amount of spores were added to each sample as an exotic tracer in order to calculate pollen concentration and influx rates (Stockmarr, <xref ref-type="bibr" rid="B62">1972</xref>). Total pollen counts were converted into pollen percentages and plotted using Tilia software (Grimm, <xref ref-type="bibr" rid="B27">1987</xref>) based on the abundance of each pollen type relative to the sum of all terrestrial identified pollen. The pollen profiles were divided into pollen assemblage zones based on optimal splitting using the broken-stick model (Bennett, <xref ref-type="bibr" rid="B5">1996</xref>). Pollen counts were converted to concentrations (grains cm<sup>&#x02212;3</sup>) in Tilia using the counts of <italic>Lycopodium</italic> tracers and sample sediment volumes (Grimm, <xref ref-type="bibr" rid="B27">1987</xref>). The smoothed Bayesian age-depth model for both sites was used to calculate and plot pollen influx rates from the concentration data using Tilia software.</p>
</sec>
<sec>
<title>REVEALS</title>
<p>The REVEALS model (Sugita, <xref ref-type="bibr" rid="B64">2007a</xref>) was applied to estimate pollen-derived regional vegetation cover during the Holocene. Previous studies from the region (e.g., Abraham et al., <xref ref-type="bibr" rid="B2">2014</xref>) mainly used records from peat bogs to calculate a REVEALS output, with the model showing the robustness of peat sequences in portraying present-day vegetation in a realistic manner. Here, the REVEALS model was used to estimate land-cover abundance from both lakes and non-lakes (i.e., peat bogs and mires) using new (this paper) and previously published and unpublished pollen data obtained from the Czech Quaternary Pollen Database (Kune&#x00161; et al., <xref ref-type="bibr" rid="B42">2009</xref>; Table <xref ref-type="table" rid="T2">2</xref>). Pollen counts were aggregated into 500-year intervals for the entire Holocene, and then all available sites in each 500-year time window were used to estimate mean vegetation abundances within a 60 km radius. The following parameters were selected: 4 m s<sup>&#x02212;1</sup> wind speed, different dispersal-deposition models for bogs and mires (Prentice, <xref ref-type="bibr" rid="B55">1985</xref>) and lakes (Sugita, <xref ref-type="bibr" rid="B63">1994</xref>), and taxon-specific relative pollen productivities for 28 selected pollen-equivalent taxa (see Supplementary Table <xref ref-type="supplementary-material" rid="SM1">1</xref>; Abraham and Koz&#x000E1;kov&#x000E1;, <xref ref-type="bibr" rid="B1">2012</xref>; Mazier et al., <xref ref-type="bibr" rid="B48">2012</xref>; Abraham et al., <xref ref-type="bibr" rid="B2">2014</xref>). For model calculations, we adjusted the basin sizes of non-lakes to 4.5 ha. Larger basin sizes produce unrealistic estimates for some taxa as some trees may still grow within the basin, violating the model&#x00027;s assumptions (Abraham et al., <xref ref-type="bibr" rid="B2">2014</xref>). Therefore, assuming smaller non-lake basins was more appropriate for our calculations. Openness was calculated by the summation of all herbs included in the model. All calculations were conducted in R (R Core Team, <xref ref-type="bibr" rid="B57">2016</xref>) using functions to calculate mean vegetation abundances and their error estimates based on bootstrap methods (<ext-link ext-link-type="uri" xlink:href="https://github.com/petrkunes/LRA">https://github.com/petrkunes/LRA</ext-link>).</p>
<table-wrap position="float" id="T2">
<label>Table 2</label>
<caption><p>Regional sites uded to create the REVEALS pollen-based vegetation model.</p></caption>
<table frame="hsides" rules="groups">
<thead><tr>
<th valign="top" align="left"><bold>Site name</bold></th>
<th valign="top" align="left"><bold>Lake or Mire</bold></th>
<th valign="top" align="center"><bold>Latitude</bold></th>
<th valign="top" align="center"><bold>Longitude</bold></th>
<th valign="top" align="center"><bold>Area of site (ha)</bold></th>
<th valign="top" align="center"><bold>Adjusted area of site for REVEALS</bold></th>
<th valign="top" align="center"><bold>Elevation (m.a.s.l.)</bold></th>
<th valign="top" align="left"><bold>Citation</bold></th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">&#x0010C;ern&#x000E9; jezero<sup>&#x0002A;</sup></td>
<td valign="top" align="left">Lake</td>
<td valign="top" align="center">49.18035</td>
<td valign="top" align="center">13.18538</td>
<td valign="top" align="center">18.5</td>
<td valign="top" align="center">18.5</td>
<td valign="top" align="center">1,008</td>
<td valign="top" align="left">Unpublished data<sup>&#x0002A;</sup></td>
</tr>
<tr>
<td valign="top" align="left">Chalupsk&#x000E1; slat&#x00027;</td>
<td valign="top" align="left">Mire</td>
<td valign="top" align="center">49.00061</td>
<td valign="top" align="center">13.66286</td>
<td valign="top" align="center">49</td>
<td valign="top" align="center">4.5</td>
<td valign="top" align="center">906</td>
<td valign="top" align="left">Unpublished data</td>
</tr>
<tr>
<td valign="top" align="left">Finsterauer Filz</td>
<td valign="top" align="left">Mire</td>
<td valign="top" align="center">48.948127</td>
<td valign="top" align="center">13.57751</td>
<td valign="top" align="center">7.6</td>
<td valign="top" align="center">4.5</td>
<td valign="top" align="center">1,055</td>
<td valign="top" align="left">Stalling, <xref ref-type="bibr" rid="B61">1987</xref></td>
</tr>
<tr>
<td valign="top" align="left">Heidem&#x000FC;hle (Beerenfilz)</td>
<td valign="top" align="left">Mire</td>
<td valign="top" align="center">48.826771</td>
<td valign="top" align="center">13.753396</td>
<td valign="top" align="center">17</td>
<td valign="top" align="center">4.5</td>
<td valign="top" align="center">835</td>
<td valign="top" align="left">Stalling, <xref ref-type="bibr" rid="B61">1987</xref></td>
</tr>
<tr>
<td valign="top" align="left">Hureck&#x000E1; slat&#x00027;</td>
<td valign="top" align="left">Mire</td>
<td valign="top" align="center">49.15222</td>
<td valign="top" align="center">13.32755</td>
<td valign="top" align="center">62.2</td>
<td valign="top" align="center">4.5</td>
<td valign="top" align="center">870</td>
<td valign="top" align="left">Svobodov&#x000E1; et al., <xref ref-type="bibr" rid="B70">2002</xref></td>
</tr>
<tr>
<td valign="top" align="left">Mal&#x000E1; Niva</td>
<td valign="top" align="left">Mire</td>
<td valign="top" align="center">48.91376</td>
<td valign="top" align="center">13.81606</td>
<td valign="top" align="center">65</td>
<td valign="top" align="center">4.5</td>
<td valign="top" align="center">754</td>
<td valign="top" align="left">Svobodov&#x000E1; et al., <xref ref-type="bibr" rid="B70">2002</xref></td>
</tr>
<tr>
<td valign="top" align="left">Mrtv&#x000FD; luh</td>
<td valign="top" align="left">Mire</td>
<td valign="top" align="center">48.8668</td>
<td valign="top" align="center">13.88292</td>
<td valign="top" align="center">250</td>
<td valign="top" align="center">4.5</td>
<td valign="top" align="center">737</td>
<td valign="top" align="left">Svobodov&#x000E1; et al., <xref ref-type="bibr" rid="B69">2001</xref></td>
</tr>
<tr>
<td valign="top" align="left">Ple&#x00161;n&#x000E9; jezero</td>
<td valign="top" align="left">Lake</td>
<td valign="top" align="center">48.77674</td>
<td valign="top" align="center">13.86571</td>
<td valign="top" align="center">7.5</td>
<td valign="top" align="center">7.5</td>
<td valign="top" align="center">1,105</td>
<td valign="top" align="left">Jankovsk&#x000E1;, <xref ref-type="bibr" rid="B37">2006</xref></td>
</tr>
<tr>
<td valign="top" align="left">Pr&#x000E1;&#x00161;ilsk&#x000E9; jezero</td>
<td valign="top" align="left">Lake</td>
<td valign="top" align="center">49.07519</td>
<td valign="top" align="center">13.39976</td>
<td valign="top" align="center">3.7</td>
<td valign="top" align="center">3.7</td>
<td valign="top" align="center">1,080</td>
<td valign="top" align="left">This study</td>
</tr>
<tr>
<td valign="top" align="left">Rachelsee</td>
<td valign="top" align="left">Lake</td>
<td valign="top" align="center">48.974945</td>
<td valign="top" align="center">13.4019381</td>
<td valign="top" align="center">5.7</td>
<td valign="top" align="center">5.7</td>
<td valign="top" align="center">1,071</td>
<td valign="top" align="left">This study</td>
</tr>
<tr>
<td valign="top" align="left">Rokyteck&#x000E1; slat&#x00027;</td>
<td valign="top" align="left">Mire</td>
<td valign="top" align="center">49.0153</td>
<td valign="top" align="center">13.4122</td>
<td valign="top" align="center">200</td>
<td valign="top" align="center">4.5</td>
<td valign="top" align="center">1,097</td>
<td valign="top" align="left">Svobodov&#x000E1; et al., <xref ref-type="bibr" rid="B70">2002</xref></td>
</tr>
<tr>
<td valign="top" align="left">Ryb&#x000E1;rensk&#x000E1; slat&#x00027;</td>
<td valign="top" align="left">Mire</td>
<td valign="top" align="center">49.03129</td>
<td valign="top" align="center">13.46181</td>
<td valign="top" align="center">32</td>
<td valign="top" align="center">4.5</td>
<td valign="top" align="center">1,014</td>
<td valign="top" align="left">Svobodov&#x000E1; et al., <xref ref-type="bibr" rid="B70">2002</xref></td>
</tr>
<tr>
<td valign="top" align="left">Soumarsk&#x000E9; ra&#x00161;elini&#x00161;t&#x0011B;</td>
<td valign="top" align="left">Mire</td>
<td valign="top" align="center">48.9066019</td>
<td valign="top" align="center">13.8388078</td>
<td valign="top" align="center">30</td>
<td valign="top" align="center">4.5</td>
<td valign="top" align="center">750</td>
<td valign="top" align="left">Svobodov&#x000E1; et al., <xref ref-type="bibr" rid="B69">2001</xref></td>
</tr>
<tr>
<td valign="top" align="left">Str&#x000E1;&#x0017E;ensk&#x000E1; slat&#x00027;</td>
<td valign="top" align="left">Mire</td>
<td valign="top" align="center">48.89887</td>
<td valign="top" align="center">13.74226</td>
<td valign="top" align="center">120</td>
<td valign="top" align="center">4.5</td>
<td valign="top" align="center">804</td>
<td valign="top" align="left">Svobodov&#x000E1; et al., <xref ref-type="bibr" rid="B69">2001</xref></td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p><italic>Sites with a &#x0201C;<sup>&#x0002A;</sup>&#x0201D; symbol indicate new, but unpublished data that was used to refine the REVEALS model (see Supplementary Material)</italic>.</p>
</table-wrap-foot>
</table-wrap>
</sec>
</sec>
<sec sec-type="results" id="s4">
<title>Results</title>
<sec>
<title>Regional vegetation development</title>
<p>M&#x000FC;ller (<xref ref-type="bibr" rid="B51">1927</xref>) originally presented data for 12 tree taxa (Figure <xref ref-type="fig" rid="F2">2</xref>), however, the discussion of this research will focus on the three dominant canopy species growing in the Bohemian/Bavarian Forests at modern times; spruce (<italic>Picea abies</italic>), beech (<italic>Fagus sylvatica</italic>), and fir (<italic>Abies alba</italic>). Based on the broken-stick model (Bennett, <xref ref-type="bibr" rid="B5">1996</xref>), the pollen percentages profiles from Pr&#x000E1;&#x00161;ilsk&#x000E9; jezero and Rachelsee were divided into seven and eight pollen assemblage zones, but for simplicity, the pollen reconstructions were grouped into three main periods; (1) Early- to Mid-Holocene, (2) Mid- to Late-Holocene, and (3) Last-Millennium.</p>
</sec>
<sec>
<title>Early- to mid-holocene (12,000&#x02013;&#x0007E;6,800 cal. years BP)</title>
<p>Spruce first arrived at the high-elevation lakes Pr&#x000E1;&#x00161;ilsk&#x000E9; jezero and Rachelsee between 10,500 and 10,000 years ago, but was present at mid-elevation peat bogs/mires by &#x0007E;11,500 cal. years BP (Figure <xref ref-type="fig" rid="F4">4</xref>). Spruce rises to dominance between 10,000&#x02013;8,500 cal. years BP across all elevations (Figure <xref ref-type="fig" rid="F4">4</xref>) replacing pine (<italic>Pinus</italic>) and hazel (<italic>Corylus</italic>) as the dominant canopy species (see Supplementary Figures <xref ref-type="supplementary-material" rid="SM1">3</xref>&#x02013;<xref ref-type="supplementary-material" rid="SM1">5</xref>). Thereafter, spruce percentages fluctuated between 35% and &#x0003E;20% pollen at both Pr&#x000E1;&#x00161;ilsk&#x000E9; jezero and Rachelsee, and around 30% at mid-elevation peat bogs/mires, respectively. Pollen influx data for spruce conversely differ between the two sites with a peak of 4,000 grains cm<sup>&#x02212;2</sup> yr<sup>&#x02212;1</sup> at Pr&#x000E1;&#x00161;ilsk&#x000E9; jezero, whereas the increases at Rachelsee are more subdued at &#x0003C;500 grains cm<sup>&#x02212;2</sup> yr<sup>&#x02212;1</sup> (Figure <xref ref-type="fig" rid="F5">5</xref>). Quantitative land-cover reconstructions of spruce percentages calculated using REVEALS (Sugita, <xref ref-type="bibr" rid="B64">2007a</xref>) rise around 10,000 cal. years BP from &#x0007E;5% to &#x0003E;60% calculated on a local (using peat bogs/mire records) basis (Figure <xref ref-type="fig" rid="F6">6</xref>). On a regional basis (using lake records), spruce comprised &#x0003E;50% total land-cover. The REVEALS land-cover reconstructions suggest that spruce forms close to double the land-cover percentages compared to pollen percentages. Beech begins to expand at both sites from 7,000 cal. years BP onwards, but is at low percentages in the Early- to Mid-Holocene. The dynamics of fir are restricted to after 5,000 cal. years BP. Total herb percentages decrease from &#x0007E;20% and oscillate around 10% at both Pr&#x000E1;&#x00161;ilsk&#x000E9; jezero and Rachelsee. Pollen influx data for total herbs decrease &#x0007E;10,500 cal. years BP from values &#x0003E;2,000 grains cm<sup>&#x02212;2</sup> yr<sup>&#x02212;1</sup>. The REVEALS reconstruction also suggests that the percent of landscape openness is close to double that of pollen percentage data at both the regional and local-scale (Figure <xref ref-type="fig" rid="F6">6</xref>).</p>
<fig id="F4" position="float">
<label>Figure 4</label>
<caption><p>Pollen percentages of the three dominant canopy species (<italic>Picea, Fagus</italic>, and <italic>Abies</italic>) and total herb percentages from Pr&#x000E1;&#x00161;ilsk&#x000E9; jezero and Rachelsee, as well as the average percentages and maximum/minimum percentages of all peat bog and mire sites grouped into 500 year bins.</p></caption>
<graphic xlink:href="fpls-08-02268-g0004.tif"/>
</fig>
<fig id="F5" position="float">
<label>Figure 5</label>
<caption><p>Pollen influxes for the three dominant canopy species (<italic>Picea, Fagus</italic>, and <italic>Abies</italic>) and total herbs from Pr&#x000E1;&#x00161;ilsk&#x000E9; jezero and Rachelsee located in the Bohemian/Bavarian Forests of central Europe.</p></caption>
<graphic xlink:href="fpls-08-02268-g0005.tif"/>
</fig>
<fig id="F6" position="float">
<label>Figure 6</label>
<caption><p>REVEALS estimates of the three dominant canopy species (<italic>Picea, Fagus</italic>, and <italic>Abies</italic>) and total herbs from both lake sites and peat bog/hollow sites located in the Bohemian/Bavarian Forests of central Europe.</p></caption>
<graphic xlink:href="fpls-08-02268-g0006.tif"/>
</fig>
</sec>
<sec>
<title>Mid- to late-holocene (&#x0007E;6,800&#x02013;1,000 cal. years BP)</title>
<p>Between 6,800 and 6,000 cal. years BP beech increases gradually in pollen percentages at both Pr&#x000E1;&#x00161;ilsk&#x000E9; jezero and Rachelsee, and then oscillates around 25% (Figure <xref ref-type="fig" rid="F4">4</xref>). Beech percentages from mid-elevation peat bogs/mires begin to increase &#x0007E;500 years earlier than in the high-elevation lakes. At the local-scale (peat bogs/mires), beech percentages gradually increase throughout the Mid- to Late-Holocene peaking at &#x0007E;25% roughly 1,000 cal. years BP. Fir expansion commences 5,500&#x02013;5,000 cal. years BP to around 20% at both Pr&#x000E1;&#x00161;ilsk&#x000E9; jezero and Rachelsee. These increases in pollen percentages are associated with no substantial reduction in spruce pollen percentages at Pr&#x000E1;&#x00161;ilsk&#x000E9; jezero and Rachelsee, but spruce percentages decrease from &#x0007E;40% to &#x0007E;20% &#x0003C;900 m a.s.l. (Figure <xref ref-type="fig" rid="F4">4</xref>). Viewed from a perspective of pollen influx, the down core pattern of increase and stability in species percentage data are reflected in the influx data (Figure <xref ref-type="fig" rid="F5">5</xref>). Though as with spruce, influx rates for beech and fir are much lower at Rachelsee. The REVEALS land-cover reconstructions for spruce and fir are lower at the regional scale (i.e., lake sites) relative to the more local-scale (i.e., peat bog/mire sequences), whereas beech is an equally abundant component in both reconstructions comprising &#x0007E;25% land-cover (Figure <xref ref-type="fig" rid="F6">6</xref>). The land-cover contribution of spruce remains double (&#x0003E;40%) the values indicated by pollen percentage data (&#x0003E;15%), but these differences are not present for beech and fir. Land-cover percentages of spruce remained relatively stable at the lake sites however, spruce decreases from &#x0003E;60% to &#x0007E;40% at mid-elevation peat bog/mire sequences during this period. The REVEALS reconstruction also suggests that the percent of openness is &#x0003C;5% at both the regional and local-scales (Figure <xref ref-type="fig" rid="F6">6</xref>).</p>
</sec>
<sec>
<title>Last-millennium (1,000 cal. years BP-present)</title>
<p>At both lakes, spruce percentages remain unchanged initially and then increase &#x0007E;5% in the last 300 years (Figure <xref ref-type="fig" rid="F4">4</xref>). Spruce percentages remain unchanged at mid-elevation peat bogs/mires. Both beech and fir pollen percentages decline at both lakes and mires sequences through the last 1,000 years (Figure <xref ref-type="fig" rid="F4">4</xref>). Openness percentages increased dramatically over the past 1,000 years to &#x0007E;12% (Figure <xref ref-type="fig" rid="F4">4</xref>). Pollen influx rates for all three taxa increase during the last 1,000 years at both lakes, and sharply in the last 300 years which likely reflects focusing of pollen toward the lake center (i.e., in-lake lateral redistribution of materials toward the deeper waters) rather than any change in species abundance (Figure <xref ref-type="fig" rid="F5">5</xref>). The REVEALS reconstructions broadly confirm the indications seen in the percentage pollen data, with declines in beech and fir occupied by open-ground indicators rather than any expansion in spruce. This is also shown in the pollen influx data, showing a dramatic rise in the influx of open-ground taxa (Figure <xref ref-type="fig" rid="F5">5</xref>).</p>
</sec>
</sec>
<sec sec-type="discussion" id="s5">
<title>Discussion</title>
<sec>
<title>Developments in understanding dominant ecology of the bohemian/bavarian forests</title>
<p>Over the past 100 years, methodological improvements in the field of paleoecology such as radiocarbon dating and pollen-based quantitative land-cover modeling (i.e., REVEALS; Sugita, <xref ref-type="bibr" rid="B64">2007a</xref>) have led to more realistic reconstructions of past vegetation change across temporal and spatial scales. Applying these approaches to the palaeoenvironmental records from Pr&#x000E1;&#x00161;ilsk&#x000E9; jezero and Rachelsee illustrates the long-term presence and dominance of spruce in the Bohemian/Bavarian Forests. First appearing in the pollen record &#x0007E;10,000 cal. years BP, the local presence of spruce in the region is supported by <italic>Picea</italic> stomata at Pr&#x000E1;&#x00161;ilsk&#x000E9; jezero and Rachelsee, which agrees with previous paleoecological research in the region (M&#x000FC;ller, <xref ref-type="bibr" rid="B51">1927</xref>; Svobodov&#x000E1; et al., <xref ref-type="bibr" rid="B69">2001</xref>, <xref ref-type="bibr" rid="B70">2002</xref>; Jankovsk&#x000E1;, <xref ref-type="bibr" rid="B37">2006</xref>; Abraham et al., <xref ref-type="bibr" rid="B3">2016</xref>). At the regional scale (i.e., lake sites), the REVEALS model suggests that spruce has comprised an average of &#x0007E;50% of the total forest canopy, whereas at the more local scale (i.e., peat bogs/mires) spruce has comprised &#x0007E;59%. Thus, spruce has been a dominant component of the forest canopy across a range of elevations &#x0003E;700 m a.s.l. in the Bohemian/Bavarian Forests.</p>
<p>Modern quantitative approaches also illustrate a unique history of forest composition throughout the region with beech and fir contributing as secondary canopy species relative to spruce at mid-elevations found between 700 and 900 m a.s.l. Beech established around 7,000 cal yr BP and became an abundant canopy species around 6,000 cal. years BP, with the REVEALS model indicating that it contributed &#x0007E;20% of the total land-cover at the regional scale. However, at the more local-scale between 700 and 900 m a.s.l. beech comprised just 16% of the total land-cover during the Mid-Holocene. After the establishment of beech, M&#x000FC;ller (<xref ref-type="bibr" rid="B51">1927</xref>) found an increase in fir percentages. Svobodov&#x000E1; et al. (<xref ref-type="bibr" rid="B69">2001</xref>, <xref ref-type="bibr" rid="B70">2002</xref>) suggested that fir had spread to elevations &#x0003E;700 m a.s.l. across the entire region between 6,300 and 3,400 cal. years BP. However, these records were constrained by few radiocarbon dates. At Pr&#x000E1;&#x00161;ilsk&#x000E9; jezero and Rachelsee, fir first appeared between 7,000&#x02013;6,300 cal. years BP but did not become an important component of the canopy until 5,000&#x02013;4,500 cal. years BP. The REVEALS model output indicates that for the last 4,000 years, fir has comprised an average of &#x0007E;7% of the total land-cover at the regional-scale, but slightly higher (10%) at the more local-scale between 700 and 900 m a.s.l. As beech and fir expanded around 4,000 cal. years BP, spruce percentages declined to some extent but still comprised &#x0007E;40% of the regional total land-cover, and &#x0003E;60% of the local-scale (i.e., mid-elevation) forest composition in the Bohemian/Bavarian Forests (Figure <xref ref-type="fig" rid="F6">6</xref>). This further demonstrates that beech has been a secondary canopy species relative to spruce at mid-elevations, specifically between 700 and 900 m a.s.l. Total land-cover of beech and fir populations found at mid-elevations began to decrease from their maximum values of 24% and 13% total land-cover &#x0007E;1,000 years ago at both the regional and more local-scale (Figure <xref ref-type="fig" rid="F6">6</xref>). The decrease in beech and fir forests are likely the result of increasing anthropogenic landscape modifications. However, climate could also explain the decline in beech and fir as temperatures were likely unfavorable for these species during the Little Ice Age (Grove, <xref ref-type="bibr" rid="B28">2001</xref>; Br&#x000E1;zdil et al., <xref ref-type="bibr" rid="B12">2017</xref>).</p>
<p>Declines in beech and fir characterize the last millennium with an expansion in open ground taxa in both the percentage pollen data and the quantitative REVEALS land-cover reconstructions, though spruce is slightly more abundant in terms of total land-cover (Figure <xref ref-type="fig" rid="F6">6</xref>). Svobodov&#x000E1; et al. (<xref ref-type="bibr" rid="B70">2002</xref>) also indicate that beech-spruce-fir forests have decreased over the past three centuries, and are being replaced by spruce and <italic>Pinus rotundata</italic> in forest bogs at lower elevations. The regional reconstructions presented here point to a change in forest composition toward more open ground within the forest, and slightly increased dominance by spruce. Over the past 500 years spruce has comprised &#x0007E;47% land-cover, while beech and fir has comprised &#x0007E;8% and &#x0003C;5% at mid-elevations. The pollen influx values show a radically different story with the records from Pr&#x000E1;&#x00161;ilsk&#x000E9; jezero and Rachelsee illustrating an increase in all pollen taxa through the last 500 years. This increase in pollen influx likely reflects increased in-lake focusing of pollen to the lake center assisted by wind currents from a more open landscape (see Figure <xref ref-type="fig" rid="F5">5</xref> for percent openness), rather than increased pollen rain from spruce plantations found at low-elevations. Openings within high-elevation forests are generally attributed to human clearance, fire, windthrow, or bark beetle outbreaks (<italic>Ips typographus</italic>) which are key disturbance drivers influencing Norway spruce forest dynamics (Holeksa and Cybulski, <xref ref-type="bibr" rid="B31">2001</xref>; Fischer et al., <xref ref-type="bibr" rid="B21">2002</xref>; Holeksa et al., <xref ref-type="bibr" rid="B32">2007</xref>; Svoboda et al., <xref ref-type="bibr" rid="B67">2012</xref>, <xref ref-type="bibr" rid="B68">2014</xref>; &#x0010C;ada et al., <xref ref-type="bibr" rid="B13">2016</xref>; Janda et al., <xref ref-type="bibr" rid="B36">2017</xref>; Kulakowski, <xref ref-type="bibr" rid="B41">2017</xref>). During the 1990s, an <italic>I. typographus</italic> bark beetle outbreak occurred in the region creating gaps (i.e., openings) in the canopy. Severe windstorms occurred in the region in 1986, 1999, 2007, and 2008, which also caused widespread forest damage (Svoboda et al., <xref ref-type="bibr" rid="B66">2010</xref>). Yet, Zeppenfeld et al. (<xref ref-type="bibr" rid="B80">2015</xref>) found that spruce seedlings and young spruce trees already occur in areas affected by these large-scale disturbances, encouraging rapid recovery of spruce and not limiting flux of pollen to the lakes in the region. Therefore, increase in pollen fluxes especially at Pr&#x000E1;&#x00161;ilsk&#x000E9; jezero is likely a result of natural processes and not a result of spruce plantations found at lower elevations.</p>
<p>While the REVEALS model demonstrates that spruce has been the dominant canopy cover at both high- and mid-elevations, the model only provides an average percentage of land-cover for the entire Bohemian/Bavarian Forest. Local site conditions such as slope and aspect affect forest composition at the more local-scale (i.e., stand-scale). For example, spruce generally dominates on north-facing mesic sites with poorly-drained soils, whereas beech typically dominates on south-facing xeric sites where soils drain well. These local conditions can lead to stands of monospecific spruce or beech at mid-elevations, specifically in the Bavarian Forest National Park. However, the REVEALS model used in this study was used to inform managers of the natural average forest composition for elevations &#x0003E;700 m a.sl. for the area through time.</p>
</sec>
<sec>
<title>Applications to conservation and restoration in the bohemian/bavarian forests</title>
<p>The overall management goal of the parks is to restore the original forest composition (IUCN, <xref ref-type="bibr" rid="B34">1994</xref>). Within the &#x00160;umava National Park forest management has likely based their target &#x0201C;natural&#x0201D; forest composition from Geobotanical Maps (Miky&#x00161;ka et al., <xref ref-type="bibr" rid="B50">1968&#x02013;1972</xref>), and the Map of Potential Natural Vegetation (Neuh&#x000E4;uslov&#x000E1; et al., <xref ref-type="bibr" rid="B53">1998</xref>), which suggest that beech dominate over spruce at mid-elevations in central Europe (Ellenberg and Leuschner, <xref ref-type="bibr" rid="B17">1996</xref>). More recently, Vacek and Mayov&#x000E1;, <xref ref-type="bibr" rid="B76">2000</xref>, suggest that beech is dominant over spruce at mid-elevations between 650 and 900 m. Together, these previous maps and research have influenced the management strategy of removing spruce from mid-elevation forests within &#x00160;umava National Park so that spruce will comprise 30&#x02013;40% instead of its current representation of &#x0201C;84%&#x0201D; (&#x00160;umava National Park Authority<xref ref-type="fn" rid="fn0002"><sup>2</sup></xref>). However, these maps and previous research do not consider paleoecological studies which provide long-term dynamics of vegetation abundance through time. Paleoecological studies have utility in conservation and restoration in that they can provide baseline targets (i.e., more accurate representations of forest composition), as well as provide the natural range of variability within vegetation composition through time. While the REVEALS model shows that beech and fir forests reached a combined maximum of 37% at mid-elevations (between 700 and 900m a.s.l.) &#x0007E;2,000 years ago, spruce forests still comprised 45% of the total forest composition at these elevations (Figure <xref ref-type="fig" rid="F6">6</xref>). A regional paleoecological perspective of the past 500 years shows that the forest composition at mid-elevations has been a mixed-forest cover of spruce (&#x0007E;50%), beech (&#x0007E;22%), and fir (&#x0007E;10%), which counters the findings of Vacek and Mayov&#x000E1; (<xref ref-type="bibr" rid="B76">2000</xref>) Our findings support previous investigations that highlight that mixed-forests consisting of spruce-beech-fir typically occur between 650 and 1,150 m in the &#x00160;umava National Park (R&#x000F6;der et al., <xref ref-type="bibr" rid="B59">2010</xref>), as well as showing the long-term dominance of coniferous forests in the Bohemian-Moravian highlands over the past 9,000 years (Szab&#x000F3; et al., <xref ref-type="bibr" rid="B72">2017</xref>). The long-term presence of spruce throughout the Holocene illustrates that forest management practices involving the formation of spruce plantations at mid-elevations have not suppressed beech (Szab&#x000F3; et al., <xref ref-type="bibr" rid="B72">2017</xref>). During the late Holocene the results from the regional-scale sites show some suppression of beech (&#x0007E;15% land-cover) that is not related to spruce dominance, but rather to the extent of open ground. This supports previous research from &#x00160;umava National Park with beech rarely reaching &#x0003E;20% from mid-elevation sites (Hrub&#x000FD; et al., <xref ref-type="bibr" rid="B33">2014</xref>).</p>
<p>Within the Bavarian Forest National Park, soil conditions and south-facing slopes create more favorable conditions for beech and fir forests. While spruce has doubled its range since the nineteenth century in the region, foresters have been more concerned with the recent decline of fir. At the time of establishment of the Bavarian Forest National Park, fir comprised only 3.2% of the total forest composition (Heurich and Englmaier, <xref ref-type="bibr" rid="B30">2010</xref>). This is supported by the regional-scale REVEALS reconstruction which shows the decline of fir over the past 500 years to 3.8%. However, at the more local-scale (i.e., peat bogs/mires) at mid-elevations fir has declined to just 2.9% (Figure <xref ref-type="fig" rid="F6">6</xref>). Stalling (<xref ref-type="bibr" rid="B61">1987</xref>) found that fir pollen frequencies reached a peak of &#x0007E;32% fir roughly 3,000 years ago on the basis of 15 sites with a mean elevation of 837 m a.s.l. in the Bavarian Forest. However, quantitative land-cover reconstructions presented here indicate that fir reached a maximum regional land-cover of just 13% between 3,500 and 1,000 cal. years BP, and a maximum of &#x0007E;20% at the more local-scale at mid-elevations (Figure <xref ref-type="fig" rid="F6">6</xref>). Methodological improvements such as quantitative land-cover modeling offer a more robust reconstruction of vegetation abundance from the Bohemian/Bavarian Forests of central Europe. Thus, the results presented here provide a more accurate and updated description of fir abundances than the previous work by Stalling (<xref ref-type="bibr" rid="B61">1987</xref>). However, the REVEALS model is limited in that all of the mid-elevation sites used in the model are located within the park boundaries of &#x00160;umava National Park. Mid-elevation paleoecological reconstructions do exist from the Bavarian Forest National Park, yet, the sites were not incorporated into the model because they were either not available publicly or they lacked radiocarbon dating. Therefore, the results interpreted here may be more reflective of vegetation abundances from mid-elevation in &#x00160;umava National Park. Regardless, the REVEALS model reconstructed the regional decline of fir, and it is therefore a concern that should be addressed by foresters in the Bavarian Forests. Heurich and Englmaier (<xref ref-type="bibr" rid="B30">2010</xref>) suggest that the trend of declining fir populations relative to increasing spruce populations in the Bavarian Forests is likely not solely related to human activity but also to natural causes such as the Little Ice Age and bark beetle outbreaks. Because spruce is a cold adapted species, conditions during the Little Ice Age would have favored spruce over fir. Additionally, downed logs from windthrow and bark beetle outbreaks are the preferred natural substrate that gives spruce seedlings a competitive advantage over other tree species (Svoboda et al., <xref ref-type="bibr" rid="B66">2010</xref>). While several studies suggest that fir is sensitive to human activities and anthropogenically caused air pollution (Tinner et al., <xref ref-type="bibr" rid="B74">1999</xref>; van der Knaap et al., <xref ref-type="bibr" rid="B77">2004</xref>; Tinner and Lotter, <xref ref-type="bibr" rid="B73">2005</xref>; Feurdean and Willis, <xref ref-type="bibr" rid="B19">2008</xref>), human impacts in the form of pasturing, selective logging and litter raking have been shown to be beneficial for fir growth (No&#x0017E;i&#x0010D;ka, <xref ref-type="bibr" rid="B54">1957</xref>; M&#x000E1;lek, <xref ref-type="bibr" rid="B46">1981</xref>; Koz&#x000E1;kov&#x000E1; et al., <xref ref-type="bibr" rid="B39">2011</xref>). Tinner et al. (<xref ref-type="bibr" rid="B75">2013</xref>) suggest that the range of fir has the potential to increase with climate change as long as precipitation does not decrease below 700&#x02013;800 mm/yr, or anthropogenic disturbances such as fire and grazing do not become excessive.</p>
<p>One of the benefits of the &#x00160;umava and Bavarian Forest National Parks is that it serves to protect montane spruce forests (Svoboda et al., <xref ref-type="bibr" rid="B66">2010</xref>). Spruce is likely to be the species most impacted by climate change, and so is under threat in a warmer world (Bolte et al., <xref ref-type="bibr" rid="B10">2009</xref>). Norway spruce is considered a cold-adapted species growing on mesic sites. Therefore, expected changes in temperature and precipitation in the future specifically the increased likelihood of more frequent and intense summer droughts across central and southern Europe (Gao and Giorgi, <xref ref-type="bibr" rid="B25">2008</xref>; Feyen and Dankers, <xref ref-type="bibr" rid="B20">2009</xref>), will likely result in the loss of available habitat for spruce (Hanewinkel et al., <xref ref-type="bibr" rid="B29">2012</xref>). In the Bohemian/Bavarian Forests, Norway spruce has already occupied the highest possible altitudes and ostensibly the species has nowhere to go with climate change (Spathef et al., <xref ref-type="bibr" rid="B60">2014</xref>). Conversely, beech and fir forests, the main competitors of spruce in the region, could continue to impinge on and expand in the lower altitude habitat of spruce. However, areas where beech predominates likely will also be threatened with increasing temperatures (Cheddadi et al., <xref ref-type="bibr" rid="B14">2016</xref>). Migration of the optimum climate windows for these dominant forest taxa is a concern for forest managers, yet our paleoecological data show these plant communities have comprised a mixed-forest for &#x0003E;5,000 years in the region surviving previous climatic fluctuations during the Holocene. Mixed-forests with multiple tree species provide higher levels of ecosystem services (Gamfeldt et al., <xref ref-type="bibr" rid="B24">2013</xref>) and should therefore be incorporated into forest management in the Bohemian Forests. We suggest that forest managers in the &#x00160;umava National Park consider utilizing information gained by paleoecological reconstructions that use pollen-based land-cover models that more accurately represent the natural vegetation abundances found at mid-elevations.</p>
</sec>
</sec>
<sec sec-type="conclusions" id="s6">
<title>Conclusions</title>
<p>Methodological advances in the field of palynology and paleoecology, including quantitative land-cover models and robust chronologies have allowed for more accurate reconstructions of vegetation dynamics through time. Using these methodologies the results of this study demonstrate that spruce has been the dominant canopy cover in the Bohemian/Bavarian Forests for the past 9,000 years across a range of elevations including mid-elevations (between 700 and 900 m a.s.l.) where beech and fir forests were previously thought to dominant. When beech and fir forests peaked around 2,000 years ago, together they comprised a total land-cover of 37%. However, spruce contributed 40% of the total land-cover, further documenting the dominance of this species in mixed beech/fir forests. Over the past 500 years, spruce has comprised &#x0007E;47% land-cover, while beech and fir comprised &#x0007E;8% and &#x0003C;5% at mid-elevations.</p>
<p>Paleoecological results have considerable utility in forest management and ecosystem conservation (e.g., Birks, <xref ref-type="bibr" rid="B7">1996</xref>; Jackson, <xref ref-type="bibr" rid="B35">1997</xref>; Landres et al., <xref ref-type="bibr" rid="B43">1999</xref>; Swetnam et al., <xref ref-type="bibr" rid="B71">1999</xref>; Foster et al., <xref ref-type="bibr" rid="B22">2003</xref>; Gillson and Willis, <xref ref-type="bibr" rid="B26">2004</xref>). For example, forest management in the &#x00160;umava National Park base current management strategies on outdated information that states that beech and fir forests are the natural, dominant vegetation at mid-elevations. However, the results presented here demonstrate that mid-elevations forests have been a mixed-forest with spruce dominating the forest canopy. The current management plan is to remove spruce to a natural representation of 30&#x02013;40%, while increasing beech and fir up to a total of 35% (&#x00160;umava National Park Authority<xref ref-type="fn" rid="fn0002"><sup>2</sup></xref>). The longer perspective afforded by paleoecology suggests that the &#x00160;umava National Park should aim for 45% spruce as that is within the natural range of total land-cover for the species, but ecosystem managers should take into account the potential for climate change to significantly impact the range of spruce within the park and take steps toward preserving the species. As for the Bavarian Forest National Park, the REVEALS model was able to capture a decline of fir cover to levels previously recorded (see Heurich and Englmaier, <xref ref-type="bibr" rid="B30">2010</xref>), yet the results may be more indicative of vegetation abundances within &#x00160;umava National Park. Additional paleoecological sites with robust chronologies are needed from the region, specifically from between 400 and 700 m a.s.l. in order to compare local-scale vegetation dynamics through time.</p>
</sec>
<sec id="s7">
<title>Author contributions</title>
<p>PK and JC: obtained funding to support the project; PK, JC, RC, and AM: collected the data; PK, JvL, RC, and VC: analyzed the data; VC and PK: conceived ideas and led the manuscript writing; VC, RC, JC, NK, AM, MS, HS-S, JvL, and WvdK: edited the manuscript during all phases.</p>
<sec>
<title>Conflict of interest statement</title>
<p>The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.</p></sec>
</sec>
</body>
<back>
<ack><p>We would like to thank Vojt&#x0011B;ch Abraham for his suggestions on how to improve the REVEALS model, and Daniel Vondr&#x000E1;k and G&#x000FC;nther Kletetschka for their help with radiocarbon dating. We also thank Vlasta Jankovsk&#x000E1; and Maurice Reille for providing their published data through the Czech Quaternary Pollen Database.</p>
</ack>
<sec sec-type="supplementary-material" id="s8">
<title>Supplementary material</title>
<p>The Supplementary Material for this article can be found online at: <ext-link ext-link-type="uri" xlink:href="https://www.frontiersin.org/articles/10.3389/fpls.2017.02268/full#supplementary-material">https://www.frontiersin.org/articles/10.3389/fpls.2017.02268/full#supplementary-material</ext-link></p>
<supplementary-material xlink:href="DataSheet1.DOCX" id="SM1" mimetype="application/vnd.openxmlformats-officedocument.wordprocessingml.document" xmlns:xlink="http://www.w3.org/1999/xlink"/>
</sec>
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<fn-group>
<fn id="fn0001"><p><sup>1</sup>Bavarian Forest National Park Authority: <ext-link ext-link-type="uri" xlink:href="http://www.nationalpark-bayerischer-wald.de/english/nationalpark/management/index.htm">http://www.nationalpark-bayerischer-wald.de/english/nationalpark/management/index.htm</ext-link>.</p></fn>
<fn id="fn0002"><p><sup>2</sup>&#x00160;umava National Park Authority. <ext-link ext-link-type="uri" xlink:href="http://www.npsumava.cz/en/3291/sekce/the-species-composition-of-the-forests/">http://www.npsumava.cz/en/3291/sekce/the-species-composition-of-the-forests/</ext-link>.</p></fn>
</fn-group>
<fn-group>
<fn fn-type="financial-disclosure"><p><bold>Funding.</bold> This research was supported by the Czech Science Foundation EUROPIA project no. 16-06915S, and PEDECO project no. 16-23183Y.</p>
</fn>
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