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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Ecol. Evol.</journal-id>
<journal-title>Frontiers in Ecology and Evolution</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Ecol. Evol.</abbrev-journal-title>
<issn pub-type="epub">2296-701X</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3389/fevo.2022.838545</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Ecology and Evolution</subject>
<subj-group>
<subject>Original Research</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>Climate and Species Traits Drive Changes in Holocene Forest Composition Along an Elevation Gradient in Pacific Canada</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author" corresp="yes">
<name><surname>Lacourse</surname> <given-names>Terri</given-names></name>
<xref ref-type="corresp" rid="c001"><sup>&#x002A;</sup></xref>
<xref ref-type="author-notes" rid="fn002"><sup>&#x2020;</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/937531/overview"/>
</contrib>
<contrib contrib-type="author">
<name><surname>Adeleye</surname> <given-names>Matthew A.</given-names></name>
<xref ref-type="author-notes" rid="fn002"><sup>&#x2020;</sup></xref>
<xref ref-type="author-notes" rid="fn003"><sup>&#x2021;</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/1589742/overview"/>
</contrib>
</contrib-group>
<aff><institution>Department of Biology and Centre for Forest Biology, University of Victoria</institution>, <addr-line>Victoria, BC</addr-line>, <country>Canada</country></aff>
<author-notes>
<fn fn-type="edited-by"><p>Edited by: Miguel Montoro Girona, Universit&#x00E9; du Qu&#x00E9;bec en Abitibi T&#x00E9;miscamingue, Canada</p></fn>
<fn fn-type="edited-by"><p>Reviewed by: Inger Greve Alsos, UiT The Arctic University of Norway, Norway; John Dodson, Institute of Earth Environment (CAS), China</p></fn>
<corresp id="c001">&#x002A;Correspondence: Terri Lacourse, <email>tlacours@uvic.ca</email></corresp>
<fn fn-type="other" id="fn002"><p><sup>&#x2020;</sup>ORCID: Terri Lacourse, <ext-link ext-link-type="uri" xlink:href="https://orcid.org/0000-0002-7559-5374">orcid.org/0000-0002-7559-5374</ext-link>; Matthew A. Adeleye, <ext-link ext-link-type="uri" xlink:href="https://orcid.org/0000-0002-6034-5807">orcid.org/0000-0002-6034-5807</ext-link></p></fn>
<fn fn-type="present-address" id="fn003"><p><sup>&#x2021;</sup>Present address: Matthew A. Adeleye, Centre of Excellence for Australian Biodiversity and Heritage, and School of Culture, History and Language, Australian National University, Canberra, ACT, Australia</p></fn>
<fn fn-type="other" id="fn004"><p>This article was submitted to Paleoecology, a section of the journal Frontiers in Ecology and Evolution</p></fn>
</author-notes>
<pub-date pub-type="epub">
<day>08</day>
<month>03</month>
<year>2022</year>
</pub-date>
<pub-date pub-type="collection">
<year>2022</year>
</pub-date>
<volume>10</volume>
<elocation-id>838545</elocation-id>
<history>
<date date-type="received">
<day>17</day>
<month>12</month>
<year>2021</year>
</date>
<date date-type="accepted">
<day>14</day>
<month>02</month>
<year>2022</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#x00A9; 2022 Lacourse and Adeleye.</copyright-statement>
<copyright-year>2022</copyright-year>
<copyright-holder>Lacourse and Adeleye</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) and the copyright owner(s) 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>Projected changes in climate are expected to shift the ranges of many tree species poleward and to higher elevations. Here, we examine past changes in forest composition in Pacific Canada using a paleoecological approach and investigate the role of past changes in climate and differences in species traits in changing forest compositions. We present a new pollen record from a mid-elevation fen on central Vancouver Island, British Columbia that shows (1) <italic>Pinus contorta</italic>-dominated communities starting 14,000 cal yr BP, (2) an abrupt transition to <italic>Pseudotsuga menziesii</italic> and <italic>Tsuga heterophylla</italic> forests by 10,600 cal yr BP, and (3) a gradual transition to <italic>Tsuga heterophylla</italic>-dominated forests in the mid-Holocene. We combine this mid-elevation record with nearby pollen records along a 1,400-m elevation gradient to assess sorting of dominant woody plant taxa and their life history and stress tolerance traits over the last 14,000 years. Multivariate time series confirm elevational sorting of woody plant taxa through time with the modern elevational zonation of tree taxa established by 6,000 cal yr BP. Some taxa have consistently occupied low and middle elevations (<italic>P. menziesii</italic>, <italic>Alnus rubra</italic>) or high elevations (<italic>Tsuga mertensiana</italic>), whereas other taxa (<italic>P. contorta</italic>, <italic>T. heterophylla</italic>) have occurred at a wider range of elevations. Three-table statistical techniques reveal significant relationships among forest composition, independent paleoclimate records, and species traits. Tree species with similar traits tend to be most abundant at similar times and those that are functionally dissimilar are separated in time. For example, species with &#x201C;fast&#x201D; life history strategies (e.g., <italic>P. contorta</italic>, <italic>Alnus viridis</italic>) are most abundant in late-glacial plant communities, while those with &#x201C;slow&#x201D; life history strategies (e.g., <italic>T. heterophylla</italic>, <italic>T. mertensiana</italic>) are most abundant in mid-late Holocene forests. This research highlights that woody plant taxa and their functional traits are sorted on long timescales in association with environmental change. Turnover in forest composition is driven primarily by changes in climate, which acts as a filter on species traits to direct changes in forest dynamics.</p>
</abstract>
<kwd-group>
<kwd>pollen analysis</kwd>
<kwd>forest composition</kwd>
<kwd>plant species traits</kwd>
<kwd>climate change</kwd>
<kwd>multivariate timeseries</kwd>
<kwd>RLQ analysis</kwd>
<kwd>fourth corner analysis</kwd>
<kwd>trait-environment relationships</kwd>
</kwd-group>
<contract-num rid="cn001">342003</contract-num>
<contract-num rid="cn002">17214</contract-num>
<contract-sponsor id="cn001">Natural Sciences and Engineering Research Council of Canada<named-content content-type="fundref-id">10.13039/501100000038</named-content></contract-sponsor>
<contract-sponsor id="cn002">Canada Foundation for Innovation<named-content content-type="fundref-id">10.13039/501100000196</named-content></contract-sponsor>
<counts>
<fig-count count="7"/>
<table-count count="2"/>
<equation-count count="0"/>
<ref-count count="71"/>
<page-count count="14"/>
<word-count count="9679"/>
</counts>
</article-meta>
</front>
<body>
<sec id="S1" sec-type="intro">
<title>Introduction</title>
<p>Current changes in climate are expanding the ranges of many species poleward and to higher elevations (<xref ref-type="bibr" rid="B14">Chen et al., 2011</xref>; <xref ref-type="bibr" rid="B27">Gottfried et al., 2012</xref>; <xref ref-type="bibr" rid="B48">Lenoir and Svenning, 2015</xref>; <xref ref-type="bibr" rid="B20">Fadrique et al., 2018</xref>). Along the Pacific coast of Canada, year-round increases in temperature accompanied by decreased summer precipitation and related lengthening and increased severity of fire seasons (<xref ref-type="bibr" rid="B64">Rodenhuis et al., 2009</xref>; <xref ref-type="bibr" rid="B57">Mote and Salath&#x00E9;, 2010</xref>; <xref ref-type="bibr" rid="B71">Wotton et al., 2010</xref>; <xref ref-type="bibr" rid="B1">Abatzoglou and Williams, 2016</xref>; <xref ref-type="bibr" rid="B68">Wang et al., 2016</xref>) are predicted to have major consequences for the region&#x2019;s conifer-dominated ecosystems (<xref ref-type="bibr" rid="B30">Hamann and Wang, 2006</xref>; <xref ref-type="bibr" rid="B28">Gray and Hamann, 2013</xref>; <xref ref-type="bibr" rid="B29">Halofsky et al., 2018</xref>; <xref ref-type="bibr" rid="B49">MacKenzie and Mahony, 2021</xref>). Climate change over the Quaternary provides potential analogs for understanding forest responses to current and future changes in climate and guiding conservation and reforestation management practices (<xref ref-type="bibr" rid="B23">Fordham et al., 2020</xref>). During the early Holocene in western North America, summers were warmer and drier than present, and wildfires were more frequent (<xref ref-type="bibr" rid="B63">Renssen et al., 2012</xref>; <xref ref-type="bibr" rid="B25">Gavin and Brubaker, 2015</xref>; <xref ref-type="bibr" rid="B65">Routson et al., 2021</xref>). Although early Holocene rates of climate change were slower (<xref ref-type="bibr" rid="B15">Clark et al., 2016</xref>) and winter temperatures were likely cooler due to lower solar insolation (<xref ref-type="bibr" rid="B6">Berger and Loutre, 1991</xref>), species responses to past changes in climate as recorded in paleoecological records can still provide useful insights to complement modeling approaches that predict climate-driven redistribution of species.</p>
<p>It is well established that species respond individualistically to changes in environmental conditions resulting in large differences in the rates, magnitude and direction of responses among taxa (<xref ref-type="bibr" rid="B36">Jackson and Overpeck, 2000</xref>; <xref ref-type="bibr" rid="B70">Williams et al., 2004</xref>; <xref ref-type="bibr" rid="B48">Lenoir and Svenning, 2015</xref>). How species respond to changes in climate depends on each species&#x2019; unique combination of life-history and ecological performance traits that collectively facilitate or hinder their establishment and persistence as environmental conditions change. <xref ref-type="bibr" rid="B7">Birks (2020)</xref> recently underscored the long history of considering differences in ecological attributes and traits in the interpretation of paleoecological data and inferences about plant responses to past environmental change. However, there are still relatively few studies that explicitly incorporate species traits into numerical analyses of fossil pollen data (<xref ref-type="bibr" rid="B40">Lacourse, 2009</xref>; <xref ref-type="bibr" rid="B62">Reitalu et al., 2015</xref>; <xref ref-type="bibr" rid="B11">Brussel et al., 2018</xref>; <xref ref-type="bibr" rid="B12">Carvalho et al., 2019</xref>; <xref ref-type="bibr" rid="B67">van der Sande et al., 2019</xref>). Collectively, these studies show that inclusion of species traits provides important insights into mechanisms that govern species responses to environmental change and ecosystem dynamics on long timescales. However, inclusion of species traits in numerical analyses of fossil pollen data is impeded by the low taxonomic resolution of many records, often restricting consideration of traits to family and genus-level means of simple functional types. This constraint is overcome in Pacific Canada because the pollen of most dominant woody taxa can either be identified to species or reasonably assigned to species based on pollen morphology and phytogeography.</p>
<p>Here, we investigate the effects of past changes in climate on the abundances of dominant woody plant taxa in Pacific Canada and consider the role that interspecific differences in life-history and stress tolerance traits play in mediating past changes in forest composition. Forests in Pacific Canada are dominated by conifers and steep environmental gradients generate high species turnover that results in elevational bands of different forest zones, making this an ideal setting for examining elevational sorting of species through time. We start by presenting a new paleoecological record spanning the last 14,000 years from Anderson Fen, a mid-elevation wetland in Pacific Canada (<xref ref-type="fig" rid="F1">Figure 1</xref>). We compare changes in these fossil pollen assemblages to independent paleoclimate records to identify drivers of changes in forest composition. We then combine this mid-elevation pollen record with other pollen records along an elevation gradient of sites spanning &#x223C;1,400 m to assess temporal and spatial sorting of dominant woody plant taxa. Multivariate time series and three-table statistical techniques are used to relate paleoenvironmental conditions to the life-history and stress tolerance traits of these taxa, by way of their changing pollen abundances through time.</p>
<fig id="F1" position="float">
<label>FIGURE 1</label>
<caption><p><bold>(A)</bold> Map of central Vancouver Island in coastal British Columbia, Canada showing location of Anderson Fen (red star). Sites in the elevational transect are shown as black stars: (1) Burman Pond, (2) Harris Ridge Bog, (3) Mt. Washington and (4) Grant&#x2019;s Bog. <bold>(B)</bold> Elevation profile, from west to east, for the transect of sites in A.</p></caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fevo-10-838545-g001.tif"/>
</fig>
</sec>
<sec id="S2" sec-type="materials|methods">
<title>Materials and Methods</title>
<p>A 4.7 m peat and sediment core was collected from Anderson Fen in August 2016. The site is a mid-elevation poor fen (49&#x00B0; 44.1&#x2032; N, 125&#x00B0; 11.6&#x2032; W; 550 m asl) located on central Vancouver Island, British Columbia (BC), Canada (<xref ref-type="fig" rid="F1">Figure 1</xref>) in the Leeward Island Mountain Ecosection. Modern climate is temperate maritime characterized by cool, dry summers and mild, wet winters. Mean annual temperature is 6.9&#x00B0;C with monthly means ranging from a low of &#x2212;0.2&#x00B0;C in December to a high of 15.1&#x00B0;C in August (<xref ref-type="bibr" rid="B68">Wang et al., 2016</xref>). Most precipitation falls as rain between October and March. Mean annual precipitation is 2,270 mm/year.</p>
<p>Anderson Fen has a surface area of 5.5 ha and is connected to Anderson Lake and other nearby wetlands through a small amount of surface flow. Surface plant cover is dominated by <italic>Sphagnum</italic> spp. mosses (e.g., <italic>Sphagnum angustifolium</italic>, <italic>S. papillosum</italic>, <italic>S. fuscum</italic>), but also includes sedges (<italic>Eriophorum angustifolium</italic>, <italic>Carex</italic> spp.) and low ericaceous shrubs (e.g., <italic>Vaccinium oxycoccos</italic>, <italic>Kalmia microphylla</italic> var. <italic>occidentalis</italic>). Anderson Fen is located within the Coastal Western Hemlock biogeoclimatic zone (<xref ref-type="bibr" rid="B56">Meidinger and Pojar, 1991</xref>), which occurs at low to middle elevations on the BC coast. Forests are dominated by <italic>Tsuga heterophylla</italic>. Other common conifers are <italic>Thuja plicata</italic>, <italic>Pseudotsuga menziesii</italic> especially on drier sites, and <italic>Abies amabilis</italic> on wetter sites and at mid-elevations. <italic>Pinus contorta</italic> tends to be common on disturbed, very dry and very wet sites. Anderson Fen sits near the elevational limit of this western hemlock forest zone, resulting in local forests that are transitional in composition and include <italic>Tsuga mertensiana</italic>, <italic>A. amabilis</italic>, and <italic>Chamaecyparis nootkatensis</italic>, which are common in higher-elevation forests. Above &#x223C;1,000 m, forests are open-canopy and dominated by <italic>T. mertensiana</italic> with scattered <italic>C. nootkatensis</italic>, <italic>A. amabilis</italic>, and <italic>Abies lasiocarpa</italic>.</p>
<p>The peat and sediment core was collected from the center of Anderson Fen using a 50-cm long &#x201C;Russian&#x201D; D-corer using two boreholes 60 cm apart, with 10 cm of overlap for each 50-cm section. This core was used in a previous study to reconstruct wetland succession and long-term carbon accumulation (<xref ref-type="bibr" rid="B41">Lacourse et al., 2019a</xref>). AMS radiocarbon ages were obtained on plant macrofossils or bulk peat/organic lake sediment (<xref ref-type="table" rid="T1">Table 1</xref>) and calibrated to calendar years using the IntCal20 dataset (<xref ref-type="bibr" rid="B61">Reimer et al., 2020</xref>). An age-depth model was built using an age of &#x2212;66 calendar years before present (yr BP) for the top of the core and the calendar age probability distributions for the eight <sup>14</sup>C ages. The model was fit with 10,000 iterations of a smooth spline (<xref ref-type="bibr" rid="B44">Lacourse and Gajewski, 2020</xref>) in the &#x201C;clam&#x201D; package (<xref ref-type="bibr" rid="B8">Blaauw, 2010</xref>) in R (<xref ref-type="bibr" rid="B60">R Core Team, 2021</xref>). Loss-on-ignition (LOI) was conducted on 1&#x2013;3 cm<sup>3</sup> samples at 2&#x2013;3 cm intervals following <xref ref-type="bibr" rid="B32">Heiri et al. (2001)</xref>, i.e., samples were dried at 105&#x00B0;C for 20 h and ignited at 550&#x00B0;C for 4 h.</p>
<table-wrap position="float" id="T1">
<label>TABLE 1</label>
<caption><p>AMS radiocarbon and calibrated ages from Anderson Fen on Vancouver Island, British Columbia.</p></caption>
<table cellspacing="5" cellpadding="5" frame="hsides" rules="groups">
<thead>
<tr>
<td valign="top" align="left">Depth (cm)</td>
<td valign="top" align="left">Material</td>
<td valign="top" align="center">&#x03B4;<sup>13</sup>C<break/> (&#x2030;)</td>
<td valign="top" align="center">Radiocarbon age<break/> (<sup>14</sup>C yr BP &#x00B1; 1&#x03C3;)</td>
<td valign="top" align="center">Calendar age<break/> (cal BP)<xref ref-type="table-fn" rid="t1fna"><sup>a</sup></xref></td>
<td valign="top" align="center">Lab code</td>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">53&#x2013;54</td>
<td valign="top" align="left"><italic>Sphagnum</italic></td>
<td valign="top" align="center">&#x2013;25.4</td>
<td valign="top" align="center">130 &#x00B1; 30</td>
<td valign="top" align="center">120 (10&#x2013;280)</td>
<td valign="top" align="center">Beta-466163</td>
</tr>
<tr>
<td valign="top" align="left">101&#x2013;102</td>
<td valign="top" align="left">Woody plant fragments, <italic>Sphagnum</italic></td>
<td valign="top" align="center">&#x2013;27.8</td>
<td valign="top" align="center">1,440 &#x00B1; 30</td>
<td valign="top" align="center">1,330 (1,300&#x2013;1,370)</td>
<td valign="top" align="center">Beta-472225</td>
</tr>
<tr>
<td valign="top" align="left">149&#x2013;150</td>
<td valign="top" align="left"><italic>Sphagnum</italic>, woody plant fragments</td>
<td valign="top" align="center">&#x2013;25.6</td>
<td valign="top" align="center">3,010 &#x00B1; 30</td>
<td valign="top" align="center">3,200 (3,080&#x2013;3,330)</td>
<td valign="top" align="center">Beta-466164</td>
</tr>
<tr>
<td valign="top" align="left">199&#x2013;200</td>
<td valign="top" align="left">Herbaceous plant fragments, <italic>Sphagnum</italic></td>
<td valign="top" align="center">&#x2013;25.3</td>
<td valign="top" align="center">4,770 &#x00B1; 30</td>
<td valign="top" align="center">5,530 (5,330&#x2013;5,590)</td>
<td valign="top" align="center">Beta-472226</td>
</tr>
<tr>
<td valign="top" align="left">241&#x2013;242</td>
<td valign="top" align="left">Woody and herbaceous plant fragments, <italic>Sphagnum</italic></td>
<td valign="top" align="center">&#x2013;28.1</td>
<td valign="top" align="center">6,190 &#x00B1; 30</td>
<td valign="top" align="center">7,080 (6,990&#x2013;7,230)</td>
<td valign="top" align="center">Beta-475649</td>
</tr>
<tr>
<td valign="top" align="left">295&#x2013;295.5</td>
<td valign="top" align="left"><italic>Sphagnum</italic>, woody plant fragments</td>
<td valign="top" align="center">&#x2013;24.8</td>
<td valign="top" align="center">8,980 &#x00B1; 30</td>
<td valign="top" align="center">10,180 (9,930&#x2013;10,230)</td>
<td valign="top" align="center">Beta-463066</td>
</tr>
<tr>
<td valign="top" align="left">375&#x2013;376</td>
<td valign="top" align="left">Herbaceous plant fragments</td>
<td valign="top" align="center">&#x2013;25.0</td>
<td valign="top" align="center">9,330 &#x00B1; 30</td>
<td valign="top" align="center">10,540 (10,420&#x2013;10,650)</td>
<td valign="top" align="center">Beta-472227</td>
</tr>
<tr>
<td valign="top" align="left">411&#x2013;412</td>
<td valign="top" align="left">Limnic peat/organic lake sediment (60% LOI)</td>
<td valign="top" align="center">&#x2013;28.2</td>
<td valign="top" align="center">10,040 &#x00B1; 40</td>
<td valign="top" align="center">11,550 (11,340&#x2013;11,800)</td>
<td valign="top" align="center">Beta-505925</td>
</tr>
<tr>
<td valign="top" align="left">448.5&#x2013;449</td>
<td valign="top" align="left">Unidentifiable plant fragments</td>
<td valign="top" align="center">&#x2013;24.8</td>
<td valign="top" align="center">11,360 &#x00B1; 50</td>
<td valign="top" align="center">13,240 (13,120&#x2013;13,330)</td>
<td valign="top" align="center">Beta-463067</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn id="t1fna"><p><italic><sup>a</sup>Median and 2&#x03C3; age ranges rounded to nearest 10 year based on IntCal20 (<xref ref-type="bibr" rid="B61">Reimer et al., 2020</xref>).</italic></p></fn>
</table-wrap-foot>
</table-wrap>
<p>Pollen analysis was conducted on 1 or 2 cm<sup>3</sup> samples treated with warm 10% KOH for 8 min and acetolysis for 2.5 min. Samples below 455 cm that consisted of clay were also treated with hydrofluoric acid. Prior to chemical treatment, one <italic>Lycopodium</italic> tablet of 18,584 &#x00B1; 829 spores (Batch 177745) was added to each sample to estimate pollen concentrations. Pollen accumulation rates were not calculated because of substantial changes in downcore sedimentation rates. A minimum of 400 pollen and spores, not including <italic>Sphagnum</italic>, was identified in each sample except four samples from the basal clays where a minimum sum of 100 was used due to low pollen concentrations. Pollen and spores were identified to the lowest possible taxonomic level using published keys (e.g., <xref ref-type="bibr" rid="B54">McAndrews et al., 1973</xref>; <xref ref-type="bibr" rid="B3">Bassett et al., 1978</xref>; <xref ref-type="bibr" rid="B37">Kapp et al., 2000</xref>) and modern reference material. <italic>Alnus</italic> pollen morphotypes were differentiated following <xref ref-type="bibr" rid="B52">May and Lacourse (2012)</xref>. Botanical nomenclature follows the <xref ref-type="bibr" rid="B22">Flora of North America Editorial Committee (1993)</xref>.</p>
<p>Pollen percentages were calculated using a base sum of tree, shrub and herb pollen. Percentages for obligate aquatics, ferns and <italic>Sphagnum</italic> were calculated by adding the base sum to the sum of each group. Hierarchical clustering by sum-of-squares (<xref ref-type="bibr" rid="B5">Bennett, 1996</xref>) was used to identify pollen zones i.e., groups of similar assemblages. Principal component analysis (PCA) was used to reduce the major trends in the Anderson Fen dataset to only a few dimensions. Redundancy analysis (RDA) was used to relate changes in community composition to nearby records of paleoclimatic conditions, i.e., summer insolation at 50&#x00B0;N (<xref ref-type="bibr" rid="B6">Berger and Loutre, 1991</xref>), alkenone-inferred sea surface temperature (<xref ref-type="bibr" rid="B38">Kienast and McKay, 2001</xref>) and pollen-inferred mean annual precipitation (<xref ref-type="bibr" rid="B35">Heusser et al., 1985</xref>). Statistical significance was tested using 9999 Monte Carlo permutations. In all numerical analyses, the dataset was limited to pollen types accounting for &#x2265; 5% of the sum in at least one sample, and <italic>Sphagnum</italic> spores and pollen from obligate aquatics were excluded. Pollen data were standardized prior to multivariate analyses using the Hellinger transformation (<xref ref-type="bibr" rid="B46">Legendre and Gallagher, 2001</xref>) in the &#x201C;vegan&#x201D; package (<xref ref-type="bibr" rid="B58">Oksanen et al., 2020</xref>) in R.</p>
<p>The pollen record from Anderson Fen was compared to four nearby records from lower and higher elevations to assess sorting of common woody taxa through time and space. The five sites (<xref ref-type="supplementary-material" rid="PS1">Supplementary Table 1</xref>) form an elevation transect that runs approximately 55 km east-west at &#x223C;49.7&#x00B0;N with Grant&#x2019;s Bog at 80 m asl (<xref ref-type="bibr" rid="B42">Lacourse et al., 2019b</xref>), Anderson Fen at 550 m (this study; <xref ref-type="bibr" rid="B41">Lacourse et al., 2019a</xref>), Burman Pond at 1,310 m (<xref ref-type="bibr" rid="B53">Mazzucchi, 2010</xref>), Harris Ridge Bog at 1,320 m (<xref ref-type="bibr" rid="B21">Fitton, 2003</xref>) and Mt. Washington at 1,425 m (<xref ref-type="bibr" rid="B53">Mazzucchi, 2010</xref>). For each site, the age-depth model (<xref ref-type="supplementary-material" rid="PS1">Supplementary Figure 1</xref>) was updated to the IntCal20 calibration dataset (<xref ref-type="bibr" rid="B61">Reimer et al., 2020</xref>) and pollen percentages were calculated in the same manner i.e., using the same base sum. Multivariate time series plots of pollen percentage data were produced using global normalization in the &#x201C;mvtsplot&#x201D; package (<xref ref-type="bibr" rid="B59">Peng, 2012</xref>) in R. The pollen records for the low and middle elevation sites span the last 14,000 years. The high elevation records begin after 12,700 yr BP, due to later deglaciation of alpine areas (<xref ref-type="bibr" rid="B53">Mazzucchi, 2010</xref>).</p>
<p>We follow the approach of <xref ref-type="bibr" rid="B40">Lacourse (2009)</xref> to relate changes in forest composition to environmental conditions and interspecific differences in species traits. RLQ analysis, a three-table ordination technique (<xref ref-type="bibr" rid="B17">Dol&#x00E9;dec et al., 1996</xref>), was used to relate paleoenvironmental variables (table R) to life history and stress tolerance traits of the dominant woody taxa (table Q), using median pollen percentages from the transect of sites (table L) as the link between these two datasets. The rows of table L (time) correspond to the rows of table R and the columns of table L (species) correspond to the columns of table Q. Species traits (maturity or minimum seed-bearing age, seed mass, seed dissemination capacity, relative growth rate, shade tolerance, waterlogging tolerance, drought tolerance, frost tolerance, fire adaptation, typical adult height and lifespan) were compiled from the literature (<xref ref-type="supplementary-material" rid="PS1">Supplementary Table 2</xref>). We use species-level means, relying on intraspecific trait variability being smaller than interspecific variability. Trait values for <italic>Abies</italic> are either mean values for <italic>A. amabilis</italic> and <italic>A</italic>. <italic>lasiocarpa</italic> or are the same for both species. The same applies to Cupressaceae (<italic>Chamaecyparis nootkatensis</italic> and <italic>Thuja plicata</italic>). Seed mass and lifespan were log-transformed prior to statistical analysis. RLQ analysis was conducted on the cross-matrix of tables R, L, and Q. This technique maximizes the covariance between tables R and Q (<xref ref-type="bibr" rid="B17">Dol&#x00E9;dec et al., 1996</xref>). Statistical significance of the co-structure between tables R and Q was determined by comparing 9999 Monte Carlo permutations of the rows of tables R and Q with the total inertia in the RLQ analysis. A separate fourth-corner analysis (<xref ref-type="bibr" rid="B19">Dray and Legendre, 2008</xref>) was used to quantify and test the correlation between paleoenvironmental variables and species traits. <italic>P</italic>-values were adjusted for multiple testing using Holm&#x2019;s correction. RLQ and fourth-corner analyses were conducted using the &#x201C;ade4&#x201D; package (<xref ref-type="bibr" rid="B18">Dray et al., 2007</xref>) in R.</p>
</sec>
<sec id="S3" sec-type="results">
<title>Results</title>
<sec id="S3.SS1">
<title>Chronology and Stratigraphy at Anderson Fen</title>
<p>The age-depth model (<xref ref-type="fig" rid="F2">Figure 2</xref>) predicts an age of 14,025 yr BP (13,390&#x2013;14,190 yr BP) for the base of the 4.7 m core. Modeled sedimentation rates are &#x223C;0.03 cm/yr for much of the core, but exceed 0.15 cm/yr in the upper 33 cm and between 332 and 357 cm. Mean deposition time is 30 yr/cm and ranges between 2.2 and 51.5 year/cm. The core from Anderson Fen begins in gray clay with a minor sand fraction and 3&#x2013;6% LOI (<xref ref-type="supplementary-material" rid="PS1">Supplementary Figure 2</xref>). Basal clays are sharply overlain by organic lake sediments (454&#x2013;411 cm) containing <italic>Potamogeton</italic> and <italic>Nuphar polysepala</italic> seeds with LOI that increases from 20 to 50%. The remainder of the core consists of various types of peat with LOI generally above 90% (<xref ref-type="supplementary-material" rid="PS1">Supplementary Figure 2</xref>).</p>
<fig id="F2" position="float">
<label>FIGURE 2</label>
<caption><p>Age-depth model for the core from Anderson Fen, British Columbia, Canada. Gray bands are 95% confidence intervals based on 10,000 iterations of a smooth spline model. Model has been updated to IntCal20 from <xref ref-type="bibr" rid="B41">Lacourse et al. (2019a)</xref>.</p></caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fevo-10-838545-g002.tif"/>
</fig>
</sec>
<sec id="S3.SS2">
<title>Pollen and Spore Assemblages at Anderson Fen</title>
<p>In total, 55 different pollen and spore taxa were identified in the Anderson Fen record. Only the most frequent taxa are shown in <xref ref-type="fig" rid="F3">Figure 3</xref>. The mean temporal resolution of the pollen record is 126 cal yr.</p>
<fig id="F3" position="float">
<label>FIGURE 3</label>
<caption><p>Pollen and spore percentages of major taxa at Anderson Fen. Infrequent taxa are shown with 5&#x00D7; exaggeration (gray silhouettes). Presence of rare <italic>Acer macrophyllum</italic> pollen is shown as open circles. Total herbs consists mostly of Cyperaceae pollen. Taxon order in the three groups is based on weighted averages. Gray horizontal band marks the Younger Dryas chronozone.</p></caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fevo-10-838545-g003.tif"/>
</fig>
<p>Pollen Zone 1A (14,025&#x2013;13,200 yr BP) corresponds with clay at the base of the core. This pollen zone is dominated by <italic>Salix</italic> and <italic>Pinus contorta</italic>, with each accounting for 30&#x2013;50% of the total sum (<xref ref-type="fig" rid="F3">Figure 3</xref>). <italic>Alnus viridis</italic> reaches up to &#x223C;10% and low levels (&#x003C; 5%) of <italic>Abies</italic> and <italic>Shepherdia canadensis</italic> also occur. Pollen from herbaceous plants, mostly Cyperaceae and <italic>Artemisia</italic>, account for up to 10%. <italic>Pinus contorta</italic> accounts for 80% at the beginning of Zone 1B (13,200&#x2013;11,360 yr BP), before decreasing to &#x223C;30% as <italic>A. viridis</italic> increases to 40&#x2013;60%. Other conifers in Zone 1B include <italic>Abies</italic> (10&#x2013;20%), <italic>Tsuga mertensiana</italic> (up to 10%) and <italic>Picea sitchensis</italic> (up to 5%). Zone 1C is a 750-year interval (11,360&#x2013;10,600 yr BP) of high <italic>P. contorta</italic> percentages (50&#x2013;75%), with a corresponding decrease in most other taxa, except <italic>Pteridium aquilinum</italic>, which reaches up to &#x223C;20%. <italic>Pinus</italic> concentrations are similar to Zone 1B (<xref ref-type="supplementary-material" rid="PS1">Supplementary Figure 3</xref>), which suggests that the high pine percentages of Zone 1C are a statistical artifact rather than an indication of increasing pine populations.</p>
<p>There is a large turnover of taxa at the beginning of Zone 2 (10,600&#x2013;8,230 yr BP), with <italic>Pseudotsuga menziesii</italic> and <italic>Tsuga heterophylla</italic> accounting for up to 60 and 40%, respectively (<xref ref-type="fig" rid="F3">Figure 3</xref>). <italic>Alnus rubra</italic> ranges between 10 and 20% and <italic>P. aquilinum</italic> accounts for up to &#x223C;20%. Increases in Ericaceae, Cyperaceae and <italic>Sphagnum</italic> at &#x223C;10,400 yr BP correspond with terrestrialization of the lake basin to a <italic>Sphagnum</italic>-dominated peatland (<xref ref-type="bibr" rid="B41">Lacourse et al., 2019a</xref>).</p>
<p>Zone 3A (8,230&#x2013;5,400 yr BP) is characterized by the decreasing relative abundance of <italic>P. menziesii</italic> (30&#x2013;5%) and increasing abundances of <italic>T. heterophylla</italic> (25&#x2013;50%) and <italic>Abies</italic> (10&#x2013;30%). A large increase in <italic>T. heterophylla</italic> pollen concentrations suggests it was more abundant on the landscape after 8,000 yr BP (<xref ref-type="supplementary-material" rid="PS1">Supplementary Figure 3</xref>). <italic>Pinus contorta</italic>, <italic>A. rubra</italic> and <italic>Pteridium</italic> account for up to 10%. Zone 3B (&#x003C; 5,400 yr BP) is dominated by <italic>T. heterophylla</italic> (&#x223C;40&#x2013;60%) with 10&#x2013;20% <italic>Abies</italic>, &#x223C;10% <italic>A. rubra</italic> and &#x223C;5% <italic>T</italic>. <italic>mertensiana</italic>. <italic>Pinus contorta</italic> shows a notable increase to &#x223C;20% over the last 2,200 cal yr coincident with minor increases in <italic>Pinus monticola</italic> and <italic>Picea sitchensis</italic>. <italic>Alnus rubra</italic> increases to 56% of the total pollen sum over the last 100 years.</p>
</sec>
<sec id="S3.SS3">
<title>Multivariate Analyses of Anderson Fen Pollen Data</title>
<p>Axes 1 and 2 of the PCA explain 47.5 and 19.9% of the total variation, respectively, that is present in the pollen record from Anderson Fen. PC axis 1 separates taxa abundant in the late Pleistocene such as <italic>Pinus contorta</italic>, <italic>Alnus viridis</italic>, <italic>Salix</italic> and <italic>Athyrium</italic>, which have positive loadings, from most other taxa, including most notably <italic>Tsuga heterophylla</italic> (<xref ref-type="fig" rid="F4">Figure 4</xref>). PC axis 2 effectively separates Holocene assemblages: <italic>Pseudotsuga menziesii</italic> and <italic>Pteridium aquilinum</italic>, which are most abundant during the early Holocene, have positive loadings, and mid- and late Holocene <italic>Tsuga heterophylla</italic>-dominated assemblages generally have negative loadings. The ordination of pollen samples (<xref ref-type="fig" rid="F4">Figure 4</xref>) corresponds closely with pollen zones identified independently through optimal splitting (<xref ref-type="fig" rid="F3">Figure 3</xref>). In general, late Pleistocene and late Holocene samples are more tightly clustered, which reflects higher compositional similarity of pollen assemblages at these times relative to the early Holocene, when assemblages are more diverse.</p>
<fig id="F4" position="float">
<label>FIGURE 4</label>
<caption><p>Principal component analysis biplot of pollen taxa loadings and sample scores from Anderson Fen. Samples are color-coded by the pollen assemblage zones identified by optimal splitting in <xref ref-type="fig" rid="F3">Figure 3</xref>. Taxa are labeled by family, genus, or using the first two letters of the genus and specific epithets (ALRU, <italic>Alnus rubra</italic>; ALVI, <italic>Alnus viridis</italic>; PICO, <italic>Pinus contorta</italic>; PIMO, <italic>Pinus monticola</italic>; PISI, <italic>Picea sitchensis</italic>; PSME, <italic>Pseudotsuga menziesii</italic>; PTAQ, <italic>Pteridium aquilinum</italic>; TSHE, <italic>Tsuga heterophylla</italic>; TSME, <italic>Tsuga mertensiana</italic>). Paleoenvironmental variables (gray dashed arrows) used in redundancy analysis are plotted passively in the PCA ordination space (Temperature = sea-surface temperatures; Precipitation = mean annual precipitation; July Insolation = July insolation at 50&#x00B0;N).</p></caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fevo-10-838545-g004.tif"/>
</fig>
<p>Redundancy analysis revealed that the paleoenvironmental variables explain a significant amount of variation (43.6%, <italic>p</italic> &#x003C; 0.0001) in the pollen data. Temperature and summer insolation are correlated strongly with axes 1 and 2, whereas precipitation shows a stronger correlation with axis 2 (<xref ref-type="fig" rid="F4">Figure 4</xref>). Late Pleistocene samples dominated by <italic>P. contorta</italic>, <italic>A. viridis</italic> and <italic>Salix</italic> are associated primarily with low temperatures. Early Holocene <italic>Pseudotsuga</italic>-dominated assemblages are associated with relatively high temperature and summer insolation, and relatively low precipitation. Late Holocene samples dominated by <italic>T. heterophylla</italic> and <italic>Abies</italic> are associated primarily with high precipitation. These relationships suggest that PC axis 1 represents a gradient in temperature, whereas PC axis 2 represents variation in precipitation and summer insolation, which are negatively correlated (<italic>r</italic> = &#x2212;0.62, <italic>p</italic> &#x003C; 0.01).</p>
</sec>
<sec id="S3.SS4">
<title>Multivariate Analyses for the Elevational Transect</title>
<p>The multivariate time series plots reveal clear differences in temporal changes in woody plant taxa along the elevational transect of sites (<xref ref-type="fig" rid="F5">Figure 5</xref> and <xref ref-type="supplementary-material" rid="PS1">Supplementary Figure 4</xref>). At low and middle elevations, forest composition changes from being dominated by <italic>P. contorta</italic> in the late Pleistocene, to <italic>P. menziesii</italic> in the early Holocene, and to <italic>T. heterophylla</italic> and <italic>A. rubra</italic> in the mid-late Holocene. At high elevations, plant communities are dominated by <italic>P. contorta</italic>, <italic>Abies</italic> and <italic>Alnus viridis</italic> before &#x223C;8,000 yr BP, followed by <italic>T. mertensiana</italic> and <italic>Abies</italic> in the mid-late Holocene. The high-elevation record from Burman Pond provides macrofossil evidence that the <italic>Abies</italic> time series is composed of both <italic>A. lasiocarpa</italic> and <italic>A. amabilis</italic> (<xref ref-type="fig" rid="F5">Figure 5E</xref>; <xref ref-type="bibr" rid="B53">Mazzucchi, 2010</xref>). There is also a noticeable, though subtle increase in <italic>P. contorta</italic> across all elevations over the last 2,000 years (<xref ref-type="fig" rid="F5">Figure 5A</xref>). The boxplots associated with each time series shows that some taxa have been largely confined to low and middle elevations (e.g., <italic>P. menziesii</italic>, <italic>A. rubra</italic>) or to high elevations (<italic>T. mertensiana</italic>) for the duration of the records (<xref ref-type="fig" rid="F5">Figure 5</xref> and <xref ref-type="supplementary-material" rid="PS1">Supplementary Figure 4</xref>). Other taxa such as <italic>P. contorta</italic>, <italic>T. heterophylla</italic> and <italic>Abies</italic> have occurred at a wider range of elevations.</p>
<fig id="F5" position="float">
<label>FIGURE 5</label>
<caption><p>Multivariate time series plots of pollen percentage data for taxa common at low and middle elevations in orange <bold>(A&#x2013;C)</bold> and high elevations in blue <bold>(D&#x2013;F)</bold>. Black horizontal lines separate the three high elevation sites at the top of each figure from Anderson Fen at mid-elevation and Grant&#x2019;s Bog at low elevation. Darker colors indicate higher percentages. Colors are comparable across series within taxa, but not among taxa. In each, panels to the right show boxplots of the time series for each site. Bottom panels show the median percentage through time for all sites combined. In <bold>(D)</bold>, <italic>Alnus</italic> pollen was not differentiated at Harris Ridge Bog; the percentages in that case are total <italic>Alnus</italic> pollen, likely dominated by <italic>Alnus viridis</italic>. Plant macrofossils confirming local presence are shown as triangles. ABAM, <italic>Abies amabilis</italic>; ABLA, <italic>Abies lasiocarpa</italic>.</p></caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fevo-10-838545-g005.tif"/>
</fig>
<p>RLQ and fourth-corner analyses were used to assess the roles of paleoenvironmental change and species traits in directing changes in forest composition as recorded in the pollen percentages. RLQ axes 1 (94.2) and 2 (5.5%) explained almost all the covariance (i.e., cross matrix) between the paleoenvironmental variables and species traits (<xref ref-type="fig" rid="F6">Figure 6</xref>). Permutation testing indicates a significant relationship between paleoenvironmental variables and species traits (<italic>p</italic> &#x003C; 0.0001), although the correlation with the pollen matrix for both axes is low (0.204 and 0.122). The variance of the paleoenvironmental scores is captured effectively on the first two RLQ axes (99%), as is the variance in species traits (79%). Paleotemperature has the largest contribution to total inertia (43%), followed by insolation (34%), which provides a proxy for seasonality in temperature and therefore growing season length. Among species traits, shade tolerance, maturity (i.e., minimum seed-bearing age), relative growth rate and waterlogging tolerance contribute most to total inertia (14, 14, 12, and 12%, respectively). We focus on RLQ axis 1 as it explains 94.2% of the co-variance of the three tables. RLQ axis 1 is correlated most strongly with paleotemperature (<xref ref-type="fig" rid="F6">Figure 6A</xref>) and traits such as relative growth rate, waterlogging tolerance and frost tolerance in the positive direction and traits such as shade tolerance, maturity and height in the negative direction (<xref ref-type="fig" rid="F6">Figure 6B</xref>). This axis separates &#x201C;cool&#x201D; late-glacial pollen assemblages with abundant <italic>P. contorta</italic> and <italic>A. viridis</italic> with positive loadings from &#x201C;warm&#x201D; late Holocene assemblages with abundant <italic>T. heterophylla</italic> and <italic>T. mertensiana</italic> with negative loadings (<xref ref-type="fig" rid="F6">Figures 6C,D</xref>). Early Holocene assemblages with abundant <italic>P. menziesii</italic> plot along RLQ axis 2 in association with warm temperatures, high seasonality (represented by insolation), and low precipitation, and traits such as adaptation to fire and large seeds.</p>
<fig id="F6" position="float">
<label>FIGURE 6</label>
<caption><p>RLQ ordination of <bold>(A)</bold> paleoenvironmental variables, <bold>(B)</bold> species traits, <bold>(C)</bold> species and <bold>(D)</bold> samples for the elevational transect of sites on central Vancouver Island. RLQ axes 1 and 2 explained 94.2 and 5.5%, respectively, of the covariance between the paleoenvironmental variables and species traits. See <xref ref-type="fig" rid="F4">Figure 4</xref> caption for taxon abbreviations in <bold>(C)</bold>. In <bold>(D)</bold>, sample scores are joined in stratigraphic order to show the trajectory of assemblages, with labels for every 2,000 years (e.g., 2 k = 2,000 cal yr BP). SST = sea surface temperatures; MAP = mean annual precipitation; RGR = relative growth rate; Seed diss. = seed dissemination capacity.</p></caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fevo-10-838545-g006.tif"/>
</fig>
<p>Fourth-corner analysis identified significant correlations between almost all pair-wise comparisons of paleoenvironmental variables and species traits (<xref ref-type="table" rid="T2">Table 2</xref>). However, all environment-trait correlations were weak i.e., <italic>r</italic> &#x003C; 0.2. These weak but significant correlations highlight that interspecific differences in a suite of traits are important in regulating long-term forest community assembly. The strongest positive correlations occurred between paleotemperature and typical adult height, shade tolerance, and lifespan. The strongest negative correlations occurred between temperature and relative growth rate and frost tolerance, and between summer insolation and maturity. Temperature was the only environmental variable with a significant correlation to seed mass.</p>
<table-wrap position="float" id="T2">
<label>TABLE 2</label>
<caption><p>Correlations (r) between paleoenvironmental variables and species traits from fourth-corner analysis.</p></caption>
<table cellspacing="5" cellpadding="5" frame="hsides" rules="groups">
<thead>
<tr>
<td valign="top" align="left">Species trait</td>
<td valign="top" align="center">Temperature</td>
<td valign="top" align="center">July insolation</td>
<td valign="top" align="center">Precipitation</td>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">Maturity (minimum seed-bearing age)</td>
<td valign="top" align="center">0.112</td>
<td valign="top" align="center">&#x2013;0.141</td>
<td valign="top" align="center">0.123</td>
</tr>
<tr>
<td valign="top" align="left">Seed mass</td>
<td valign="top" align="center">0.046</td>
<td valign="top" align="center">0.023 (ns)</td>
<td valign="top" align="center">&#x2013;0.006 (ns)</td>
</tr>
<tr>
<td valign="top" align="left">Seed dissemination capacity</td>
<td valign="top" align="center">0.096</td>
<td valign="top" align="center">&#x2013;0.068</td>
<td valign="top" align="center">0.025 (ns)</td>
</tr>
<tr>
<td valign="top" align="left">Relative growth rate</td>
<td valign="top" align="center">&#x2013;0.141</td>
<td valign="top" align="center">0.109</td>
<td valign="top" align="center">&#x2013;0.096</td>
</tr>
<tr>
<td valign="top" align="left">Shade tolerance</td>
<td valign="top" align="center">0.136</td>
<td valign="top" align="center">&#x2013;0.128</td>
<td valign="top" align="center">0.111</td>
</tr>
<tr>
<td valign="top" align="left">Waterlogging tolerance</td>
<td valign="top" align="center">&#x2013;0.129</td>
<td valign="top" align="center">0.115</td>
<td valign="top" align="center">&#x2013;0.104</td>
</tr>
<tr>
<td valign="top" align="left">Drought tolerance</td>
<td valign="top" align="center">&#x2013;0.119</td>
<td valign="top" align="center">0.111</td>
<td valign="top" align="center">&#x2013;0.078</td>
</tr>
<tr>
<td valign="top" align="left">Frost tolerance</td>
<td valign="top" align="center">&#x2013;0.138</td>
<td valign="top" align="center">0.104</td>
<td valign="top" align="center">&#x2013;0.059</td>
</tr>
<tr>
<td valign="top" align="left">Fire adaptation</td>
<td valign="top" align="center">&#x2013;0.019 (ns)</td>
<td valign="top" align="center">0.128</td>
<td valign="top" align="center">&#x2013;0.122</td>
</tr>
<tr>
<td valign="top" align="left">Typical adult height</td>
<td valign="top" align="center">0.148</td>
<td valign="top" align="center">&#x2013;0.091</td>
<td valign="top" align="center">0.069</td>
</tr>
<tr>
<td valign="top" align="left">Lifespan</td>
<td valign="top" align="center">0.133</td>
<td valign="top" align="center">&#x2013;0.063</td>
<td valign="top" align="center">0.064</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn><p><italic>All correlations are significant at p = 0.003, except those marked not significant (ns).</italic></p></fn>
</table-wrap-foot>
</table-wrap>
</sec>
</sec>
<sec id="S4" sec-type="discussion">
<title>Discussion</title>
<sec id="S4.SS1">
<title>Mid-Elevation Forest Dynamics at Anderson Fen</title>
<p>The pollen record from Anderson Fen (<xref ref-type="fig" rid="F3">Figure 3</xref>) is similar to records from both lower and higher elevations on Vancouver Island, both in the immediate vicinity (<xref ref-type="fig" rid="F5">Figure 5</xref>) and further afield (<xref ref-type="bibr" rid="B10">Brown and Hebda, 2003</xref>; <xref ref-type="bibr" rid="B39">Lacourse, 2005</xref>; <xref ref-type="bibr" rid="B43">Lacourse and Davies, 2015</xref>), revealing an ecotonal sequence of changing forest compositions as one would expect. Forests between 14,000 and 10,600 yr BP were dominated by <italic>P. contorta</italic> with local presence confirmed by needles at 11,920 and 10,670 yr BP. Abundant shrubs during this pine-dominated interval include <italic>A. viridis</italic>, and <italic>Salix</italic> and the insect-pollinated <italic>Shepherdia canadensis</italic> before 13,000 yr BP. These early forests occurred under cool climatic conditions (<xref ref-type="fig" rid="F4">Figure 4</xref>). Several other conifers (<italic>Abies</italic>, <italic>T. mertensiana</italic>, <italic>P. sitchensis</italic>) increase in abundance during the particularly cool Younger Dryas chronozone (12,900&#x2013;11,700 yr BP). <italic>Tsuga mertensiana</italic> is a well-established marker of the Younger Dryas cooling on the Northeast Pacific Coast (<xref ref-type="bibr" rid="B51">Mathewes, 1993</xref>; <xref ref-type="bibr" rid="B40">Lacourse, 2009</xref>; <xref ref-type="bibr" rid="B25">Gavin and Brubaker, 2015</xref>).</p>
<p>Forest composition near Anderson Fen changes rapidly at &#x223C;10,600 yr BP with the establishment of <italic>P. menziesii</italic> and <italic>T. heterophylla</italic> forests (<xref ref-type="fig" rid="F3">Figure 3</xref>). The transition from pine-dominated forests is also accompanied by increases in Cupressaceae, although it is not clear whether this is <italic>T. plicata</italic> and/or <italic>Chamaecyparis nootkatensis</italic>, due to the inability to differentiate their pollen. <italic>Acer macrophyllum</italic>, a low to mid-elevation species that is regularly found in association with <italic>P. menziesii</italic> on southeastern Vancouver Island, is usually poorly represented in fossil pollen records because it is mostly insect-pollinated, but it is also locally present during the transition (11,100&#x2013;10,300 yr BP). The transition to <italic>P. menziesii</italic> forests was facilitated by increased temperature and seasonality and decreased precipitation (<xref ref-type="fig" rid="F4">Figure 4</xref>). More frequent wildfires in the early Holocene would have also favored <italic>P. menziesii</italic> (<xref ref-type="bibr" rid="B25">Gavin and Brubaker, 2015</xref>). Over the remainder of the Holocene as precipitation increased, forests became increasingly dominated by <italic>T. heterophylla</italic> and <italic>Abies</italic> with the abundance of <italic>P. menziesii</italic> decreasing especially after 5,400 yr BP, although it continued to be present, as even low levels of its pollen indicate local presence (<xref ref-type="bibr" rid="B34">Heusser, 1985</xref>). The last 2,200 years is marked by increases in <italic>P. contorta</italic> and <italic>Pinus monticola</italic>, both of which are present in low abundance at Anderson Fen today. The large increase in <italic>Alnus rubra</italic> pollen percentages over the last 100 years (<xref ref-type="fig" rid="F3">Figures 3</xref>, <xref ref-type="fig" rid="F7">7</xref>) primarily reflects disturbance in the region due to widespread logging.</p>
<fig id="F7" position="float">
<label>FIGURE 7</label>
<caption><p>Median pollen percentages over the last 14,000 years from the elevational transect of sites on central Vancouver Island. Taxa in orange and blue were most abundant at low-medium and high elevations, respectively. Note changes in scale on the <italic>x</italic>-axes. See <xref ref-type="fig" rid="F4">Figure 4</xref> caption for taxon abbreviations. Also shown are January and July insolation anomalies at 50&#x00B0;N (<xref ref-type="bibr" rid="B6">Berger and Loutre, 1991</xref>), alkenone-inferred sea surface temperatures (SST) from near Vancouver Is. at 49&#x00B0;N (<xref ref-type="bibr" rid="B38">Kienast and McKay, 2001</xref>), and pollen-inferred mean annual precipitation (MAP) for coastal BC (<xref ref-type="bibr" rid="B35">Heusser et al., 1985</xref>).</p></caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fevo-10-838545-g007.tif"/>
</fig>
<p>There are few other mid-elevation paleoecological records in the region to compare to Anderson Fen. The record from Rhamnus Lake (<xref ref-type="bibr" rid="B2">Allen, 1995</xref>), which sits at 320 m elevation approximately 160 km southeast, is notably similar to Anderson Fen. Forests there transition from being dominated by <italic>Pinus</italic> 14,000&#x2013;12,000 yr BP, to <italic>P. menziesii</italic> in the early Holocene, and then co-dominated by <italic>P. menziesii</italic> and <italic>T. heterophylla</italic> forests by 7,000 yr BP. Mid-elevation pollen records from sites on the adjacent mainland of British Columbia (<xref ref-type="bibr" rid="B50">Mathewes, 1973</xref>) show a similar sequence of changing forest composition, although <italic>P. menziesii</italic> is less common and <italic>T. plicata</italic> plays an important secondary role in mid-late Holocene forests, reflecting the overall wetter climate of that area. Further south on the Olympic Peninsula in Washington, United States, pollen and plant macrofossil records from Yahoo Lake at 710 m (<xref ref-type="bibr" rid="B26">Gavin et al., 2013</xref>) are also similar, reflecting the overarching control that macroscale climate plays in driving changes in forest composition. Differences of note relative to coastal BC are the prominent roles of <italic>P. sitchensis</italic> in late-glacial forests and <italic>A. rubra</italic> in early Holocene forests as well as earlier expansion of <italic>T. heterophylla</italic> by a few thousand years.</p>
</sec>
<sec id="S4.SS2">
<title>Sorting of Species and Their Traits Through Time and by Elevation</title>
<p>Comparison of changes in forest composition along the elevation gradient shows clear sorting of woody plant species through time and by elevation (<xref ref-type="fig" rid="F5">Figure 5</xref> and <xref ref-type="supplementary-material" rid="PS1">Supplementary Figure 4</xref>). It is also clear that temporal changes in climatic conditions interact significantly with life-history and stress tolerance traits to direct long-term patterns in forest community assembly (<xref ref-type="fig" rid="F6">Figures 6</xref>, <xref ref-type="fig" rid="F7">7</xref>). Species with similar functional traits tend to be most abundant at similar times, whereas species that are functionally dissimilar are separated in time (<xref ref-type="bibr" rid="B45">Lavorel and Garnier, 2002</xref>; <xref ref-type="bibr" rid="B66">Swenson et al., 2011</xref>). Below, we focus on woody plant taxa that are well-represented by pollen records on central Vancouver Island to describe elevational sorting of species through time and the role species traits in changing forest composition.</p>
<p><italic>Pinus contorta</italic> is most abundant at low to mid-elevations, especially during the relatively cold interval 14,000&#x2013;10,000 yr BP (<xref ref-type="fig" rid="F5">Figures 5</xref>&#x2013;<xref ref-type="fig" rid="F7">7</xref>). This is consistent with numerous studies along the northwest coast of North America that have documented the expansion of <italic>P. contorta</italic> populations following deglaciation with its presence on the North Pacific coast predating the records from central Vancouver Island (e.g., <xref ref-type="bibr" rid="B33">Heusser, 1960</xref>; <xref ref-type="bibr" rid="B40">Lacourse, 2009</xref>; <xref ref-type="bibr" rid="B25">Gavin and Brubaker, 2015</xref>). The life history and stress tolerance traits of <italic>P. contorta</italic> allowed this species to be among the first conifers to establish widespread presence and continue to facilitate its establishment on disturbed, rocky and waterlogged sites today. Relative to other trees, it has a &#x201C;fast&#x201D; life history (<xref ref-type="bibr" rid="B13">Charnov, 1993</xref>; <xref ref-type="bibr" rid="B24">Franco and Silvertown, 1996</xref>): early sexual maturity, high relative growth rate, low shade tolerance, and short life span (<xref ref-type="supplementary-material" rid="PS1">Supplementary Table 2</xref>). It has wide ecological amplitude and high tolerance to waterlogging, drought and frost, relative to other trees in this region, and as a result, it often occurs in habitats that are unfavorable to potential competitors. For example, <italic>P. contorta</italic> is often present in a stunted form in ombrotrophic bogs on the North Pacific coast, where high water tables preclude the establishment of other trees. There is an increase in <italic>P. contorta</italic> over the last 2,000 years across elevations on central Vancouver Island (<xref ref-type="fig" rid="F5">Figure 5A</xref>) as well as at several other paleoecological sites in the wider region (e.g., <xref ref-type="bibr" rid="B33">Heusser, 1960</xref>; <xref ref-type="bibr" rid="B16">Cwynar, 1987</xref>; <xref ref-type="bibr" rid="B40">Lacourse, 2009</xref>; <xref ref-type="bibr" rid="B43">Lacourse and Davies, 2015</xref>). This region-wide increase in <italic>P. contorta</italic> is likely linked to the late-Holocene expansion of peatlands that support shrubby <italic>P. contorta</italic> var. <italic>contorta</italic>. With future changes in climate, <italic>P. contorta</italic> is likely to continue to expand on disturbed, xeric and waterlogged sites and to benefit from increased wildfire, although at regional scales its overall abundance may change little in the decades ahead due to losses in some areas and gains in others (<xref ref-type="bibr" rid="B30">Hamann and Wang, 2006</xref>; <xref ref-type="bibr" rid="B49">MacKenzie and Mahony, 2021</xref>).</p>
<p><italic>Pseudotsuga menziesii</italic> is also most abundant at low to mid-elevations on central Vancouver Island, reaching its maximum abundance after <italic>P. contorta</italic>, between 11,000 and 8,000 yr BP. Previous studies have documented the northward migration of <italic>P. menziesii</italic> from the south (e.g., <xref ref-type="bibr" rid="B33">Heusser, 1960</xref>; <xref ref-type="bibr" rid="B40">Lacourse, 2009</xref>; <xref ref-type="bibr" rid="B25">Gavin and Brubaker, 2015</xref>). <italic>Pseudotsuga</italic> arrived first at low elevations and migrated upslope in the early Holocene as temperature and seasonality increased and precipitation decreased (<xref ref-type="fig" rid="F5">Figures 5B</xref>, <xref ref-type="fig" rid="F7">7</xref>). More frequent fire in the early Holocene would have favored fire-resistant <italic>P. menziesii</italic> over most other conifers (<xref ref-type="bibr" rid="B9">Brown and Hebda, 2002</xref>; <xref ref-type="bibr" rid="B25">Gavin and Brubaker, 2015</xref>; <xref ref-type="bibr" rid="B29">Halofsky et al., 2018</xref>). <italic>Pseudotsuga</italic> then decreased in abundance at mid-elevations to become most abundant at low elevations, as it is today especially to the south in drier, rainshadow forests on southern Vancouver Island and in Washington state. In combination, these studies demonstrate both northward and upslope migration of <italic>P. menziesii</italic> in response to early Holocene warming, followed by contraction as temperatures cooled after 6,000 yr BP. In the RLQ analysis, <italic>P. menziesii</italic> plots away from all other species in association with traits such as adaptation to fire, high seed mass and dispersal capacity, large height, and long lifespans as well as early Holocene climatic conditions of relatively high temperatures, low precipitation, and lengthened growing seasons as reflect by high insolation seasonality (<xref ref-type="fig" rid="F6">Figures 6</xref>, <xref ref-type="fig" rid="F7">7</xref>). This combination of traits gives <italic>P. menziesii</italic> a competitive advantage in dispersal, establishment and persistence (<xref ref-type="bibr" rid="B69">Weiher et al., 1999</xref>; <xref ref-type="bibr" rid="B47">Leishman, 2001</xref>). Given responses of <italic>P. menziesii</italic> to past climate change, northward and upslope range expansion is likely given projected future warming and increases in wildfires. Bioclimate-envelope and process-based models similarly predict that changes in climate and increased wildfires will expand coastal <italic>P. menziesii</italic> northward and upslope with a net increase in abundance and area occupied (<xref ref-type="bibr" rid="B30">Hamann and Wang, 2006</xref>; <xref ref-type="bibr" rid="B28">Gray and Hamann, 2013</xref>; <xref ref-type="bibr" rid="B29">Halofsky et al., 2018</xref>; <xref ref-type="bibr" rid="B49">MacKenzie and Mahony, 2021</xref>).</p>
<p>There are two common species of hemlock in temperate rainforests on the North Pacific coast and their long-term paleoecological histories on central Vancouver Island are similar. Both <italic>Tsuga</italic> species are most abundant after &#x223C;8,000 yr BP, with increasing abundance since then at most sites; however, <italic>T. heterophylla</italic> has occurred primarily at low and mid-elevations and <italic>T. mertensiana</italic> is almost exclusively confined to high elevation forests (<xref ref-type="fig" rid="F5">Figures 5C,F</xref>). The expansion of hemlocks over the mid-late Holocene was facilitated by higher precipitation over this interval (<xref ref-type="fig" rid="F7">Figure 7</xref>). This similar paleoecological history is reflected in the RLQ analysis with both hemlocks plotting close to each other in the ordination space (<xref ref-type="fig" rid="F6">Figure 6C</xref>), close to mean annual precipitation (<xref ref-type="fig" rid="F6">Figure 6A</xref>) and with similar life history and stress tolerance traits (<xref ref-type="fig" rid="F6">Figure 6B</xref>). For example, both hemlocks reach sexual maturity at about 20 year, and have the same or similar seed mass, dispersal capacity, relative growth rate, lifespan, and tolerance to shade, drought and waterlogging (<xref ref-type="supplementary-material" rid="PS1">Supplementary Table 2</xref>). Relative to <italic>P. contorta</italic>, both species are characterized by a &#x201C;slow&#x201D; life history. However, <italic>T. mertensiana</italic> has substantially higher frost tolerance, which accounts for its abundance at high elevations where temperatures are cooler, snow cover persists longer, and growing seasons are shorter. This also helps explain its presence in low and mid-elevation forests during the cool late-glacial period (<xref ref-type="fig" rid="F3">Figures 3</xref>, <xref ref-type="fig" rid="F7">7</xref>; <xref ref-type="bibr" rid="B51">Mathewes, 1993</xref>; <xref ref-type="bibr" rid="B25">Gavin and Brubaker, 2015</xref>). Climate models predict increases in year-round temperatures and winter precipitation for much of Pacific Canada (<xref ref-type="bibr" rid="B68">Wang et al., 2016</xref>) that are likely to facilitate expansion of <italic>T. heterophylla</italic> northward and to higher elevations in response (<xref ref-type="bibr" rid="B30">Hamann and Wang, 2006</xref>; <xref ref-type="bibr" rid="B28">Gray and Hamann, 2013</xref>; <xref ref-type="bibr" rid="B29">Halofsky et al., 2018</xref>; <xref ref-type="bibr" rid="B49">MacKenzie and Mahony, 2021</xref>). For <italic>T. mertensiana</italic>, increases in temperature are likely to override any benefit of increased available moisture and potentially lead to contraction of its overall range. Indeed, <xref ref-type="bibr" rid="B30">Hamann and Wang (2006)</xref> and <xref ref-type="bibr" rid="B49">MacKenzie and Mahony (2021)</xref> note that <italic>T. mertensiana</italic> forests are particularly vulnerable to ongoing changes in climate. Northward and upslope shifts for the species are expected to be accompanied by substantial decreases in total area occupied, especially on Vancouver Island where <italic>T. mertensiana</italic> forests could be eliminated altogether within the next 50 years (<xref ref-type="bibr" rid="B30">Hamann and Wang, 2006</xref>; <xref ref-type="bibr" rid="B49">MacKenzie and Mahony, 2021</xref>).</p>
<p>The two deciduous nitrogen-fixing species, <italic>A. viridis</italic> and <italic>A. rubra</italic>, are also generally sorted by elevation through time. <italic>Alnus viridis</italic> occurs mostly at mid- to high elevations, reaching its highest abundance during the cool late-glacial period in association with <italic>P. contorta</italic>, and then moving upslope to occupy higher elevations almost exclusively for much of the last 10,000 years (<xref ref-type="fig" rid="F5">Figures 5D</xref>, <xref ref-type="fig" rid="F7">7</xref>). In contrast, <italic>A. rubra</italic> has been an almost exclusively low-elevation species that increases in abundance over the Holocene (<xref ref-type="supplementary-material" rid="PS1">Supplementary Figure 4</xref>), along with species such as <italic>T. heterophylla</italic> and increases in available moisture (<xref ref-type="fig" rid="F7">Figure 7</xref>). Both species of alder are characterized by a relatively &#x201C;fast&#x201D; life history and have similar shade, drought and waterlogging tolerances (<xref ref-type="fig" rid="F5">Figure 5</xref> and <xref ref-type="supplementary-material" rid="PS1">Supplementary Table 2</xref>). However, as with the two species of hemlock, they differ most notably in their tolerance of frost with the higher frost tolerance of <italic>A. viridis</italic> explaining its abundance at higher elevations. Based on their paleoecological histories and stress tolerance traits, <italic>A. viridis</italic> is likely to decrease in frequency on the North Pacific coast, whereas <italic>A. rubra</italic> is likely to increase. Bioclimate-envelope models support these inferences (<xref ref-type="bibr" rid="B30">Hamann and Wang, 2006</xref>; <xref ref-type="bibr" rid="B49">MacKenzie and Mahony, 2021</xref>). Increased disturbance from wildfire and human activities such as logging is likely to continue to benefit <italic>Alnus rubra</italic> in particular, as it readily invades open sites with bare soil.</p>
<p><italic>Abies</italic> is most abundant at middle and high elevations but is more variable through time than other taxa (<xref ref-type="fig" rid="F5">Figure 5</xref>). This variability is undoubtedly linked to the current inability to identify <italic>Abies</italic> pollen to species. On the North Pacific coast, <italic>Abies</italic> pollen derives from up to three different species, making it difficult to untangle their paleoecological histories. <italic>Abies amabilis</italic> is most common today at middle elevations, <italic>A</italic>. <italic>lasiocarpa</italic> is found in present-day high elevation forests, and <italic>A</italic>. <italic>grandis</italic> is present at low-middle elevations but is generally infrequent. Many paleoecological records in the region, including the Anderson Fen record (<xref ref-type="fig" rid="F3">Figure 3</xref>), show an increase in <italic>Abies</italic> pollen in the cool late-glacial period between &#x223C;13,000 and 12,000 yr BP, coincident with an increase in <italic>T</italic>. <italic>mertensiana</italic>. The late-glacial increase in <italic>Abies</italic> likely represents expansion of cool-adapted <italic>A</italic>. <italic>lasiocarpa</italic> (<xref ref-type="bibr" rid="B31">Heinrichs et al., 2002</xref>). In contrast, it is likely that expansion of <italic>A. amabilis</italic> populations occurred later, especially at mid-elevations (<xref ref-type="bibr" rid="B25">Gavin and Brubaker, 2015</xref>). The record from Burman Pond (<xref ref-type="bibr" rid="B53">Mazzucchi, 2010</xref>) provides macrofossil evidence for this species turnover at high elevations between 12,000 and 11,000 yr BP (<xref ref-type="fig" rid="F5">Figure 5E</xref>). Changing pollen abundances at Anderson Fen (<xref ref-type="fig" rid="F3">Figures 3</xref>, <xref ref-type="fig" rid="F5">5E</xref>) and Grant&#x2019;s Bog (<xref ref-type="bibr" rid="B42">Lacourse et al., 2019b</xref>) suggest a similar turnover of species at lower elevations with <italic>Abies</italic> pollen in the late-glacial period likely deriving from <italic>A. lasiocarpa</italic> and <italic>Abies</italic> pollen after &#x223C;8,000 yr BP likely deriving from <italic>A. amabilis</italic>. <italic>Abies</italic> has low loadings on both axes of the RLQ analysis (<xref ref-type="fig" rid="F6">Figure 6C</xref>), which may be to some extent an artifact of being composed of two different species that are most abundant at different times. Overall, <italic>Abies</italic> is associated most strongly with high precipitation (<xref ref-type="fig" rid="F6">Figure 6A</xref>), reflecting the overall preference of both <italic>Abies</italic> species for relatively high available moisture. <italic>Abies amabilis</italic> and <italic>A. lasiocarpa</italic> have similar life history and stress tolerance traits, although <italic>A. lasiocarpa</italic> has notably smaller seeds and higher frost tolerance (<xref ref-type="supplementary-material" rid="PS1">Supplementary Table 2</xref>). The latter explains its success in the late-glacial period and at high elevations, as is the case with <italic>T. mertensiana</italic>. Additional <italic>Abies</italic> macrofossil records or methods to differentiate <italic>Abies</italic> pollen to species are needed to resolve species dynamics of true firs throughout northwestern North America.</p>
</sec>
</sec>
<sec id="S5" sec-type="conclusion">
<title>Conclusion</title>
<p>On a regional scale, forests on central Vancouver Island were dominated by <italic>P. contorta</italic> in the cool late-glacial interval, <italic>P. menziesii</italic> in the warm and dry early Holocene, and <italic>T. heterophylla</italic> and <italic>T. mertensiana</italic> in the warm and wet mid- to late Holocene. There is also evidence of elevational sorting of dominant woody taxa over the last 14,000 years. Some taxa have consistently occupied low and middle elevations (<italic>P. menziesii</italic>, <italic>A. rubra</italic>) or high elevations (<italic>T. mertensiana</italic>), whereas others (<italic>P. contorta</italic>, <italic>T. heterophylla</italic>) have occurred at a wider range of elevations. The modern elevational zonation of tree taxa was established by &#x223C;6,000 yr BP, with contraction of <italic>P. menziesii</italic> at mid-elevations and expansion of <italic>T. heterophylla</italic> and <italic>T. mertensiana</italic> populations at middle and high elevations, respectively. Projected changes in climate and increases in wildfire are likely to bring a reversal of this turnover, with abundance increases and upslope and northward expansion of <italic>P. menziesii</italic>, at the expense of <italic>T. heterophylla</italic> and especially <italic>T. mertensiana</italic> at higher elevations. <italic>Pinus contorta</italic> is also likely to benefit from projected changes, given its wide ecological amplitude and adaptation to disturbance, at least initially and at fine spatial scales. In general, increases in both summer and winter temperature are likely to have a more prominent effect, as most taxa in the region already occur under a range of precipitation levels. Nonetheless, decreases in summer precipitation and lengthening of wildfire seasons are also likely to be key drivers of future changes in forest composition and structure.</p>
<p>Changing abundances of species through time on central Vancouver Island highlight their individualistic responses to environmental change (<xref ref-type="bibr" rid="B70">Williams et al., 2004</xref>). It is also the case that functionally similar species make comparable contributions to forest community assembly (<xref ref-type="bibr" rid="B45">Lavorel and Garnier, 2002</xref>; <xref ref-type="bibr" rid="B66">Swenson et al., 2011</xref>). In general, species with similar life history traits tend to be most abundant at similar times and species that are functionally dissimilar are separated in time. For example, on central Vancouver Island, species with &#x201C;fast&#x201D; life history strategies (e.g., <italic>P. contorta</italic>, <italic>A. viridis</italic>) are most abundant in late-glacial plant communities, while those with &#x201C;slow&#x201D; life history strategies (e.g., <italic>T. heterophylla</italic>, <italic>T. mertensiana</italic>) are generally most abundant in mid-late Holocene forests. Within those time periods, sorting by elevation appears governed most strongly by differences in ecological performance and stress tolerance traits. This highlights that not only are species sorted through time as environmental changes occur but that species traits are also sorted on long timescales (<xref ref-type="bibr" rid="B40">Lacourse, 2009</xref>; <xref ref-type="bibr" rid="B62">Reitalu et al., 2015</xref>; <xref ref-type="bibr" rid="B11">Brussel et al., 2018</xref>; <xref ref-type="bibr" rid="B4">Benito et al., 2020</xref>). Environmental change is the main driver of temporal turnover in forest composition, with this filtering acting on species traits to direct community assembly and dynamics (<xref ref-type="bibr" rid="B55">McGill et al., 2006</xref>).</p>
</sec>
<sec id="S6" sec-type="data-availability">
<title>Data Availability Statement</title>
<p>The raw data supporting the conclusions of this article will be made available by the authors, without undue reservation.</p>
</sec>
<sec id="S7">
<title>Author Contributions</title>
<p>TL designed the research. MA analyzed the Anderson Fen core. TL conducted data analysis and was the primary author of the text with contributions from MA. Both authors approved the final manuscript.</p>
</sec>
<sec id="conf1" sec-type="COI-statement">
<title>Conflict of Interest</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 id="pudiscl1" sec-type="disclaimer">
<title>Publisher&#x2019;s Note</title>
<p>All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.</p>
</sec>
</body>
<back>
<sec id="S8" sec-type="funding-information">
<title>Funding</title>
<p>This research was supported by grants to TL from the Natural Sciences and Engineering Research Council of Canada (Grant No. 342003) and the Canada Foundation for Innovation (Grant No. 17214).</p>
</sec>
<ack><p>We are grateful to D. Canil and K. Beer for field assistance, Beta Analytic for radiocarbon dating services and support, D. Mazzucchi for sharing data, and K. Gajewski for sharing R code. Many thanks to the two reviewers for their comments. Original data from Andersen Fen and Grant&#x2019;s Bog are available from TL or the Neotoma database Paleoecology Database.</p>
</ack>
<sec id="S10" sec-type="supplementary-material">
<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/fevo.2022.838545/full#supplementary-material">https://www.frontiersin.org/articles/10.3389/fevo.2022.838545/full#supplementary-material</ext-link></p>
<supplementary-material xlink:href="Presentation_1.PDF" id="PS1" mimetype="application/pdf" xmlns:xlink="http://www.w3.org/1999/xlink"/>
</sec>
<ref-list>
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