<?xml version="1.0" encoding="UTF-8"?>
<!DOCTYPE article PUBLIC "-//NLM//DTD Journal Publishing with OASIS Tables v3.0 20080202//EN" "journalpub-oasis3.dtd">
<article xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:oasis="http://docs.oasis-open.org/ns/oasis-exchange/table" dtd-version="3.0">
  <front>
    <journal-meta>
<journal-id journal-id-type="publisher">BG</journal-id>
<journal-title-group>
<journal-title>Biogeosciences</journal-title>
<abbrev-journal-title abbrev-type="publisher">BG</abbrev-journal-title>
<abbrev-journal-title abbrev-type="nlm-ta">Biogeosciences</abbrev-journal-title>
</journal-title-group>
<issn pub-type="epub">1726-4189</issn>
<publisher><publisher-name>Copernicus GmbH</publisher-name>
<publisher-loc>Göttingen, Germany</publisher-loc>
</publisher>
</journal-meta>

    <article-meta>
      <article-id pub-id-type="doi">10.5194/bg-12-4017-2015</article-id><title-group><article-title>Spatiotemporal patterns of tundra fires: late-Quaternary charcoal
records from Alaska</article-title>
      </title-group><?xmltex \runningtitle{Spatiotemporal patterns of tundra fires: late-Quaternary charcoal
records from Alaska}?><?xmltex \runningauthor{M.~L.~Chipman et al.}?>
      <contrib-group>
        <contrib contrib-type="author" corresp="no" rid="aff1">
          <name><surname>Chipman</surname><given-names>M. L.</given-names></name>
          
        </contrib>
        <contrib contrib-type="author" corresp="no" rid="aff2 aff7">
          <name><surname>Hudspith</surname><given-names>V.</given-names></name>
          
        </contrib>
        <contrib contrib-type="author" corresp="no" rid="aff3">
          <name><surname>Higuera</surname><given-names>P. E.</given-names></name>
          
        </contrib>
        <contrib contrib-type="author" corresp="no" rid="aff4">
          <name><surname>Duffy</surname><given-names>P. A.</given-names></name>
          
        </contrib>
        <contrib contrib-type="author" corresp="no" rid="aff2 aff8">
          <name><surname>Kelly</surname><given-names>R.</given-names></name>
          
        </contrib>
        <contrib contrib-type="author" corresp="no" rid="aff5">
          <name><surname>Oswald</surname><given-names>W. W.</given-names></name>
          
        </contrib>
        <contrib contrib-type="author" corresp="yes" rid="aff1 aff2 aff6">
          <name><surname>Hu</surname><given-names>F. S.</given-names></name>
          <email>fshu@life.illinois.edu</email>
        </contrib>
        <aff id="aff1"><label>1</label><institution>Program in Ecology, Evolution, and Conservation Biology,
University of Illinois, 505 S. Goodwin Ave., Urbana, Illinois 61802,
USA</institution>
        </aff>
        <aff id="aff2"><label>2</label><institution>Department of Plant Biology, University of Illinois, 505
S. Goodwin Ave., Urbana, Illinois 61802, USA</institution>
        </aff>
        <aff id="aff3"><label>3</label><institution>College of Natural Resources, University of Idaho, P.O. Box
441133, Moscow, Idaho 83844, USA</institution>
        </aff>
        <aff id="aff4"><label>4</label><institution>Neptune and Company, Inc., 1435 Garrison Street, Suite
110, Lakewood, Colorado 80215, USA</institution>
        </aff>
        <aff id="aff5"><label>5</label><institution>Institute for Liberal Arts and Interdisciplinary Studies,
Emerson College, 120 Boylston St., Boston, Massachusetts 02116,
USA</institution>
        </aff>
        <aff id="aff6"><label>6</label><institution>Department of Geology, University of Illinois, 605 E.
Springfield Ave., Champaign, Illinois 61820, USA</institution>
        </aff>
        <aff id="aff7"><label>a</label><institution>now at: Department of Geography, University of Exeter,
Laver Building 440, Exeter, EX4 4QE, UK</institution>
        </aff>
        <aff id="aff8"><label>b</label><institution>now at: Nicholas School of the Environment, Duke
University, Box 90338, Durham, North Carolina 27708, USA</institution>
        </aff>
      </contrib-group>
      <author-notes><corresp id="corr1">F. S. Hu (fshu@life.illinois.edu)</corresp></author-notes><pub-date><day>03</day><month>July</month><year>2015</year></pub-date>
      
      <volume>12</volume>
      <issue>13</issue>
      <fpage>4017</fpage><lpage>4027</lpage>
      <history>
        <date date-type="received"><day>21</day><month>November</month><year>2014</year></date>
           <date date-type="rev-request"><day>12</day><month>February</month><year>2015</year></date>
           <date date-type="rev-recd"><day>08</day><month>June</month><year>2015</year></date>
           <date date-type="accepted"><day>11</day><month>June</month><year>2015</year></date>
      </history>
      <permissions>
<license license-type="open-access">
<license-p>This work is licensed under a Creative Commons Attribution 3.0 Unported License. To view a copy of this license, visit <ext-link ext-link-type="uri" xlink:href="http://creativecommons.org/licenses/by/3.0/">http://creativecommons.org/licenses/by/3.0/</ext-link></license-p>
</license>
</permissions><self-uri xlink:href="https://bg.copernicus.org/articles/12/4017/2015/bg-12-4017-2015.html">This article is available from https://bg.copernicus.org/articles/12/4017/2015/bg-12-4017-2015.html</self-uri>
<self-uri xlink:href="https://bg.copernicus.org/articles/12/4017/2015/bg-12-4017-2015.pdf">The full text article is available as a PDF file from https://bg.copernicus.org/articles/12/4017/2015/bg-12-4017-2015.pdf</self-uri>


      <abstract>
    <p>Anthropogenic climate change has altered many ecosystem processes in the
Arctic tundra and may have resulted in unprecedented fire activity.
Evaluating the significance of recent fires requires knowledge from the
paleofire record because observational data in the Arctic span only several
decades, much shorter than the natural fire rotation in Arctic tundra
regions. Here we report results of charcoal analysis on lake sediments from
four Alaskan lakes to infer the broad spatial and temporal patterns of
tundra-fire occurrence over the past 35 000 years. Background charcoal
accumulation rates are low in all records (range is 0–0.05 pieces cm<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">2</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula> yr<inline-formula><mml:math display="inline"><mml:mrow><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup><mml:mo>)</mml:mo></mml:mrow></mml:math></inline-formula>,
suggesting minimal biomass burning across our study areas.
Charcoal peak analysis reveals that the mean fire-return interval (FRI;
years between consecutive fire events) ranged from ca. 1650 to 6050 years at
our sites, and that the most recent fire events occurred from ca. 880 to 7030
years ago, except for the CE 2007 Anaktuvuk River Fire. These mean FRI
estimates are longer than the fire rotation periods estimated for the past
63 years in the areas surrounding three of the four study lakes. This result
suggests that the frequency of tundra burning was higher over the recent
past compared to the late Quaternary in some tundra regions. However, the
ranges of FRI estimates from our paleofire records overlap with the
expected values based on fire-rotation-period estimates from the
observational fire data, and the differences are statistically
insignificant. Together with previous tundra-fire reconstructions, these
data suggest that the rate of tundra burning was spatially variable and that
fires were extremely rare in our study areas throughout the late Quaternary.
Given the rarity of tundra burning over multiple millennia in our study
areas and the pronounced effects of fire on tundra ecosystem processes such
as carbon cycling, dramatic tundra ecosystem changes are expected if
anthropogenic climate change leads to more frequent tundra fires.</p>
  </abstract>
    </article-meta>
  </front>
<body>
      

<sec id="Ch1.S1" sec-type="intro">
  <title>Introduction</title>
      <p>The tundra biome occupies some of the coldest regions on Earth and is thus
characterized by low biomass compared to other ecosystems. Despite low
productivity in tundra ecosystems, circumpolar Arctic regions account for
approximately 50 % of all belowground soil organic carbon (Schuur et al.,
2008; Grosse et al., 2011), in part because low decomposition rates and
infrequent burning allow for carbon accumulation over millennia. In Alaska,
observational records show that fire has been rare in the majority of tundra
ecoregions during the past 60 years (Rocha et al., 2012). However,
anthropogenic climate change may have increased the rate of tundra burning.
For example, in Common Era (CE) 2007, the Anaktuvuk River Fire (ARF) burned
approximately 1000 km<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msup></mml:math></inline-formula>, doubling the total area burned on the Alaskan
North Slope since CE 1950 (Jones et al., 2009; Mack et al., 2011). The
Noatak River Watershed, a tundra region in northwestern Alaska that has
historically burned more frequently than the North Slope, also experienced
an increase in area burned over the past several decades (Rocha et al.,
2012) and a record high number of fires in CE 2010 (AICC, 1943–2013). With
anticipated acceleration of anthropogenic climate change in the Arctic,
fires may become increasingly important in tundra regions that rarely burn
at present.</p>
      <p>Tundra fires can dramatically impact a variety of ecosystem processes. For
example, the ARF released an amount of carbon comparable to the net carbon
sink of the entire Arctic tundra biome in a typical year in the latter part
of the 20th century (Mack et al., 2011). Decreased organic soil thickness
and moss cover following the fire resulted in changes to the ground thermal
regime, including increased permafrost thaw depth and higher soil
temperatures (Rocha and Shaver, 2011). Enhanced microbial activity and
access to deeper soil layers associated with permafrost thaw can further
increase the release of tundra-soil carbon to the atmosphere over decadal
timescales. Thus increased tundra burning in response to anthropogenic
climate change may lead to pronounced ecosystem changes.</p>
      <p>The brevity of the observational fire record makes it difficult to
characterize the variability and drivers of tundra-fire regimes. Therefore,
fire-history reconstructions from lake-sediment charcoal analysis provide
key information on the long-term dynamics of tundra burning and a necessary
context to assess recent changes. For example, paleofire data reveal that
the area within the ARF had not experienced fire in at least 5000 years (Hu
et al., 2010). In contrast, paleorecords from the Noatak River Watershed
suggest frequent tundra burning over the past 2000 years, with mean fire-return
intervals (FRI; the time interval between consecutive fires)
comparable to those in modern-day boreal forests (ca. 100–300 years; Higuera
et al., 2011). Paleorecords also reveal vegetation-mediated responses of
tundra-fire regimes to climate change, such as an increase in fire frequency
in northcentral Alaska in association with the expansion of shrubs in the
tundra vegetation of the last glacial/interglacial transition (Higuera et
al., 2009). However, existing paleorecords of tundra burning are restricted
to a few sites (Fig. 1), and we know little about the patterns and drivers
of tundra burning elsewhere. To address this limitation, and to place modern
fire regimes in a broader context of past variability, we conducted charcoal
analysis of sediment cores from four lakes in Alaska. The results allow us
to examine the spatiotemporal patterns of fire regimes over the late
Quaternary and provide a context of natural fire-regime variability for
assessing recent tundra burning.</p>

      <?xmltex \floatpos{t}?><fig id="Ch1.F1"><caption><p>Map of tundra ecoregions (modified after Nowacki et al., 2001)
with study sites (shown with 100 km buffers) and locations of previous
tundra-fire-history reconstructions. CE 1950–2013 fire perimeters are from
<uri>http://fire.ak.blm.gov</uri>.</p></caption>
        <?xmltex \igopts{width=236.157874pt}?><graphic xlink:href="https://bg.copernicus.org/articles/12/4017/2015/bg-12-4017-2015-f01.png"/>

      </fig>

</sec>
<sec id="Ch1.S2">
  <title>Study sites</title>
      <p>Our four study sites are located in three tundra ecoregions of Alaska that
are characterized by a paucity of fires in the observational record and that
span a range of climate conditions and tundra-vegetation types. Ecoregion
classification and descriptions follow Nowacki et al. (2001), modified to
delineate the Brooks Range Transition zone between boreal and tundra
vegetation as a distinct ecoregion (Fig. 1). For modern climate near each
site, June–August (JJA) average temperature and total precipitation were
estimated within a 5 km radius around each lake (Table 1), using data from
the Parameter-elevation Regression on Independent Slopes Model (PRISM
Climate Group, 2012) spanning 1971–2000 (data downloaded from SNAP, 2014).</p>

<?xmltex \floatpos{t}?><table-wrap id="Ch1.T1" specific-use="star"><caption><p>Lake characteristics for the four study sites.
June–August (JJA) climatology is from PRISM-derived data spanning
1971–2000, summarized over an approximate radius of 5 km around each lake
(representing 20–21 PRISM pixels). Circumpolar Arctic Vegetation Map (CAVM)
landcover classification is based on Walker et al. (2005). “Boreal
transition” indicates that the site is outside of the CAVM classification.</p></caption><oasis:table frame="topbot"><?xmltex \begin{scaleboxenv}{.85}[.85]?><oasis:tgroup cols="5">
     <oasis:colspec colnum="1" colname="col1" align="left"/>
     <oasis:colspec colnum="2" colname="col2" align="left"/>
     <oasis:colspec colnum="3" colname="col3" align="left"/>
     <oasis:colspec colnum="4" colname="col4" align="left"/>
     <oasis:colspec colnum="5" colname="col5" align="left"/>
     <oasis:thead>
       <oasis:row>  
         <oasis:entry colname="col1"/>  
         <oasis:entry rowsep="1" namest="col2" nameend="col5" align="center">Site </oasis:entry>
       </oasis:row>
       <oasis:row rowsep="1">  
         <oasis:entry colname="col1">Characteristic</oasis:entry>  
         <oasis:entry colname="col2">Perch</oasis:entry>  
         <oasis:entry colname="col3">Upper Capsule</oasis:entry>  
         <oasis:entry colname="col4">Keche</oasis:entry>  
         <oasis:entry colname="col5">Tungak</oasis:entry>
       </oasis:row>
     </oasis:thead>
     <oasis:tbody>
       <oasis:row>  
         <oasis:entry colname="col1">Site</oasis:entry>  
         <oasis:entry colname="col2"/>  
         <oasis:entry colname="col3"/>  
         <oasis:entry colname="col4"/>  
         <oasis:entry colname="col5"/>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1">Latitude</oasis:entry>  
         <oasis:entry colname="col2">68<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> 56<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mo>′</mml:mo></mml:msup></mml:math></inline-formula>29.4<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>′</mml:mo><mml:mo>′</mml:mo></mml:mrow></mml:msup></mml:math></inline-formula> N</oasis:entry>  
         <oasis:entry colname="col3">68<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> 37<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mo>′</mml:mo></mml:msup></mml:math></inline-formula>43.0<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>′</mml:mo><mml:mo>′</mml:mo></mml:mrow></mml:msup></mml:math></inline-formula> N</oasis:entry>  
         <oasis:entry colname="col4">68<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> 1<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mo>′</mml:mo></mml:msup></mml:math></inline-formula>2.8<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>′</mml:mo><mml:mo>′</mml:mo></mml:mrow></mml:msup></mml:math></inline-formula> N</oasis:entry>  
         <oasis:entry colname="col5">61<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> 25<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mo>′</mml:mo></mml:msup></mml:math></inline-formula>37.9<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>′</mml:mo><mml:mo>′</mml:mo></mml:mrow></mml:msup></mml:math></inline-formula> N</oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1">Longitude</oasis:entry>  
         <oasis:entry colname="col2">150<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> 29<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mo>′</mml:mo></mml:msup></mml:math></inline-formula>57.7<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>′</mml:mo><mml:mo>′</mml:mo></mml:mrow></mml:msup></mml:math></inline-formula> W</oasis:entry>  
         <oasis:entry colname="col3">149<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> 24<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mo>′</mml:mo></mml:msup></mml:math></inline-formula>48.7<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>′</mml:mo><mml:mo>′</mml:mo></mml:mrow></mml:msup></mml:math></inline-formula> W</oasis:entry>  
         <oasis:entry colname="col4">146<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> 55<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mo>′</mml:mo></mml:msup></mml:math></inline-formula>25.7<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>′</mml:mo><mml:mo>′</mml:mo></mml:mrow></mml:msup></mml:math></inline-formula> W</oasis:entry>  
         <oasis:entry colname="col5">164<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> 12<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mo>′</mml:mo></mml:msup></mml:math></inline-formula>2.2<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>′</mml:mo><mml:mo>′</mml:mo></mml:mrow></mml:msup></mml:math></inline-formula> W</oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1">Elevation (m a.s.l.)</oasis:entry>  
         <oasis:entry colname="col2">400</oasis:entry>  
         <oasis:entry colname="col3">800</oasis:entry>  
         <oasis:entry colname="col4">740</oasis:entry>  
         <oasis:entry colname="col5">25</oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1">Surface area (ha)</oasis:entry>  
         <oasis:entry colname="col2">14.0</oasis:entry>  
         <oasis:entry colname="col3">1.1</oasis:entry>  
         <oasis:entry colname="col4">80.2</oasis:entry>  
         <oasis:entry colname="col5">117.0</oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1">Max. water depth (m)</oasis:entry>  
         <oasis:entry colname="col2">12.6</oasis:entry>  
         <oasis:entry colname="col3">5.7</oasis:entry>  
         <oasis:entry colname="col4">15</oasis:entry>  
         <oasis:entry colname="col5">15.4</oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1">Coring water depth (m)</oasis:entry>  
         <oasis:entry colname="col2">12.6</oasis:entry>  
         <oasis:entry colname="col3">5.7</oasis:entry>  
         <oasis:entry colname="col4">14.5</oasis:entry>  
         <oasis:entry colname="col5">14.8</oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1">CAVM landcover class</oasis:entry>  
         <oasis:entry colname="col2">Tussock-sedge, dwarf-shrub tundra</oasis:entry>  
         <oasis:entry colname="col3">Tussock-sedge, dwarf-shrub tundra</oasis:entry>  
         <oasis:entry colname="col4">Boreal transition (near treeline)</oasis:entry>  
         <oasis:entry colname="col5">Low-shrub tundra</oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1">JJA temperature (<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> C)</oasis:entry>  
         <oasis:entry colname="col2">10.9 <inline-formula><mml:math display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 0.04</oasis:entry>  
         <oasis:entry colname="col3">10.0 <inline-formula><mml:math display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 0.1</oasis:entry>  
         <oasis:entry colname="col4">10.8 <inline-formula><mml:math display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 0.5</oasis:entry>  
         <oasis:entry colname="col5">12.3 <inline-formula><mml:math display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 0.1</oasis:entry>
       </oasis:row>
       <oasis:row rowsep="1">  
         <oasis:entry colname="col1">JJA total precip. (mm)</oasis:entry>  
         <oasis:entry colname="col2">101 <inline-formula><mml:math display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 5</oasis:entry>  
         <oasis:entry colname="col3">187 <inline-formula><mml:math display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 7</oasis:entry>  
         <oasis:entry colname="col4">142 <inline-formula><mml:math display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 14</oasis:entry>  
         <oasis:entry colname="col5">169 <inline-formula><mml:math display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 2</oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1">Record</oasis:entry>  
         <oasis:entry colname="col2"/>  
         <oasis:entry colname="col3"/>  
         <oasis:entry colname="col4"/>  
         <oasis:entry colname="col5"/>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1">Core length (cm)</oasis:entry>  
         <oasis:entry colname="col2">209.5</oasis:entry>  
         <oasis:entry colname="col3">329</oasis:entry>  
         <oasis:entry colname="col4">321</oasis:entry>  
         <oasis:entry colname="col5">353.5</oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1">Coring year (cal yr BP)</oasis:entry>  
         <oasis:entry colname="col2"><inline-formula><mml:math display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>58</oasis:entry>  
         <oasis:entry colname="col3"><inline-formula><mml:math display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>47</oasis:entry>  
         <oasis:entry colname="col4"><inline-formula><mml:math display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>57</oasis:entry>  
         <oasis:entry colname="col5"><inline-formula><mml:math display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>62</oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1">Basal age (cal yr BP)</oasis:entry>  
         <oasis:entry colname="col2">9460</oasis:entry>  
         <oasis:entry colname="col3">12100</oasis:entry>  
         <oasis:entry colname="col4">11480</oasis:entry>  
         <oasis:entry colname="col5">35430</oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1">Sed. rate (cm yr<inline-formula><mml:math display="inline"><mml:mrow><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup><mml:mo>)</mml:mo></mml:mrow></mml:math></inline-formula></oasis:entry>  
         <oasis:entry colname="col2">0.045 <inline-formula><mml:math display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 0.080</oasis:entry>  
         <oasis:entry colname="col3">0.031 <inline-formula><mml:math display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 0.011</oasis:entry>  
         <oasis:entry colname="col4">0.030 <inline-formula><mml:math display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 0.027</oasis:entry>  
         <oasis:entry colname="col5">0.030 <inline-formula><mml:math display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 0.039</oasis:entry>
       </oasis:row>
     </oasis:tbody>
   </oasis:tgroup><?xmltex \end{scaleboxenv}?></oasis:table></table-wrap>

      <p>Perch Lake (68.94<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> N, 150.50<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> W) and Upper Capsule Lake
(68.63<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> N, 149.41<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> W) are small kettle basins located in
the Brooks Range Foothills ecoregion (hereafter referred to as the North
Slope; Fig. 1), which is characterized by gently rolling hills, narrow
alluvial valleys, and surficial deposits comprised primarily of glacial
moraines, outwash, and alluvial materials. Mean JJA temperature in this area
is 10.5 <inline-formula><mml:math display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 0.4 <inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula>C, and total JJA precipitation is 144 <inline-formula><mml:math display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 44 mm (1971–2000 mean and standard deviation; Table 1). Soils in the
region feature continuous permafrost overlain by organic-rich horizons.
Vegetation is dominated by mixed shrub-sedge tussock tundra, interspersed
with willow thickets along rivers and small drainages. Perch Lake lies
within the Anaktuvuk River Fire (ARF), and Upper Capsule Lake is
approximately 50 km to the southeast of Perch Lake and 40 km from the
southernmost portion of the ARF (Fig. 1).</p>
      <p>Keche Lake (68.02<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> N, 146.92<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> W) lies in the
southeastern portion of the Brooks Range ecoregion. Sedimentary and
metamorphic deposits dominate this steep mountainous terrain. Mean JJA
temperature and total JJA precipitation in the area are 10.8 <inline-formula><mml:math display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 0.5 <inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula>C
and 142 <inline-formula><mml:math display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 14 mm, respectively. The modern vegetation
around Keche Lake is forest tundra, in the transition zone between tundra
and boreal forest, as defined by the Circumpolar Arctic Vegetation Map (CAVM
Team, 2003; Walker et al., 2005). The area is designated as the Brooks Range
Transition (Fig. 1), and the lake is approximately 200 m below treeline with
stands of <italic>Picea glauca</italic> (white spruce) in the watershed. The early-Holocene vegetation in
this area was shrub tundra, based on the regional pollen data set (Anderson
and Brubaker, 1994).</p>
      <p>Tungak Lake (61.43<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> N, 164.20<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> W) is located in the
broad Yukon–Kuskokwim Delta ecoregion of southwestern Alaska. Mean JJA
temperature and total JJA precipitation in the Tungak Lake area are
12.3 <inline-formula><mml:math display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 0.1 <inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula>C and 169 <inline-formula><mml:math display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 2 mm, respectively. The regional
landscape is characterized by shallow organic soils, discontinuous
permafrost, and abundant thermokarst lakes. Tungak Lake is located in an
isolated area of low-shrub tundra surrounded by low-shrub wetlands.</p>
</sec>
<sec id="Ch1.S3">
  <title>Material and methods</title>
      <p>Two overlapping sediment cores were obtained from the deepest portion of
Keche and Tungak lakes in the summers of 2007 and 2012, respectively. Perch
Lake was first cored in 2008, and charcoal analysis on the core was
conducted to infer fire history of the past 5000 years (Hu et al., 2010).
For this study, we include additional data from deeper sediments obtained in
2011, extending the fire record to the past ca. 9500 years. The sediment
cores from Upper Capsule Lake were obtained in 1997 for pollen analysis
(Oswald et al., 2003). At each lake, a polycarbonate tube fitted with a
piston was used to retrieve an intact sediment–water interface and the
uppermost sediments, and a modified Livingstone piston corer (Wright et al.,
1984) was used to obtain deeper sediments. The top 5–20 cm of unconsolidated
surface sediments was extruded at 0.5 cm resolution in the field, and the
remaining sections were split lengthwise in the laboratory. Overlapping
cores were correlated based on visible stratigraphic transitions and
magnetic susceptibility.</p>
      <p>Chronologies are based on <inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mn>210</mml:mn></mml:msup></mml:math></inline-formula>Pb analysis on bulk sediments (except at
Upper Capsule Lake, where no <inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mn>210</mml:mn></mml:msup></mml:math></inline-formula>Pb analysis was performed) and AMS
<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mn>14</mml:mn></mml:msup></mml:math></inline-formula>C analysis on terrestrial macrofossils (Fig. 2; Supplement Table S1).
Preparation of <inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mn>210</mml:mn></mml:msup></mml:math></inline-formula>Pb samples followed Eakins and Morrison (1978), and
activity was measured with an Ortec Octête Plus alpha spectrometer at
the University of Illinois. We used a constant-rate-of-supply (CRS) model
adapted from Binford (1990) to estimate <inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mn>210</mml:mn></mml:msup></mml:math></inline-formula>Pb-based sample ages. For
<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mn>14</mml:mn></mml:msup></mml:math></inline-formula>C measurements, terrestrial macrofossils were treated with an
acid-base-acid procedure (Oswald et al., 2005) and submitted to Lawrence
Livermore National Laboratory (Livermore, CA) or INSTAAR radiocarbon
laboratory (Boulder, CO). All <inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mn>14</mml:mn></mml:msup></mml:math></inline-formula>C ages were calibrated to years before
CE 1950 (cal BP; calibrated years before CE 1950) using the IntCal 09 data set in CALIB v6.1.0 (Stuiver and
Reimer, 1993; Reimer et al., 2009). A thick layer of tephra was visible in the
sediments of Tungak Lake spanning 5–38 cm. We assume that this tephra was
deposited during the Aniakchak eruption, which was widespread in the region
with a well-constrained age of 3.7 <inline-formula><mml:math display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 0.2 kcal BP (Begét et al.,
1992; Kaufman et al., 2012). We adjusted the depth of the sediment core by
assuming that the tephra deposited instantaneously. Age models were
developed by fitting a weighted cubic smoothing spline through all ages, and
confidence intervals were estimated with bootstrap resampling using the
MCAgeDepth program (2009) (Higuera et al., 2009).</p>

      <?xmltex \floatpos{t}?><fig id="Ch1.F2"><caption><p>Age–depth relationships for all sites, modeled with a cubic spline
and presented with 95 % confidence intervals.</p></caption>
        <?xmltex \igopts{width=236.157874pt}?><graphic xlink:href="https://bg.copernicus.org/articles/12/4017/2015/bg-12-4017-2015-f02.png"/>

      </fig>

      <p>For charcoal analysis, 0.5–2.0 cm<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msup></mml:math></inline-formula> subsamples were taken from
continuous 0.25–1.0 cm core slices. Sediments were freeze-dried overnight,
immersed in 5 mL of bleach and 5 mL of 10 % sodium metaphosphate for
approximately 20 h, and then washed through a 125 <inline-formula><mml:math display="inline"><mml:mi mathvariant="normal">µ</mml:mi></mml:math></inline-formula>m sieve. Charcoal
particles &gt; 125 <inline-formula><mml:math display="inline"><mml:mi mathvariant="normal">µ</mml:mi></mml:math></inline-formula>m were enumerated under a dissecting
microscope (10–40<inline-formula><mml:math display="inline"><mml:mo>×</mml:mo></mml:math></inline-formula> magnification). Because charcoal counts are low at all of
our sites, count data from adjacent samples were aggregated to obtain a
final sampling resolution of 0.5–1.0 cm and volume of 2–4 cm<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msup></mml:math></inline-formula>. Charcoal
concentrations (pieces cm<inline-formula><mml:math display="inline"><mml:mrow><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">3</mml:mn></mml:mrow></mml:msup><mml:mo>)</mml:mo></mml:mrow></mml:math></inline-formula> were multiplied by the sediment
accumulation rate (cm yr<inline-formula><mml:math display="inline"><mml:mrow><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup><mml:mo>)</mml:mo></mml:mrow></mml:math></inline-formula> to calculate charcoal accumulation rates
(CHAR, pieces cm<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">2</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula> yr<inline-formula><mml:math display="inline"><mml:mrow><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup><mml:mo>)</mml:mo></mml:mrow></mml:math></inline-formula>.</p>
      <p>Although tundra fires consume lower biomass than fires in forest ecosystems,
previous studies have shown that charcoal production is sufficient for
reliable detection of local fires in lake-sediment records (Hu et al., 2010;
Higuera et al., 2011). We infer local fires (within 500–1000 m of each lake;
Higuera et al., 2007, 2011) from our CHAR records using the CharAnalysis v1.1
program (2013), modified as described below. Prior to statistical analyses,
charcoal samples were interpolated to the median sample resolution of each
record (Table 2) to account for unequal sampling from variable sediment
accumulation rates. Low and zero charcoal counts were prevalent in all
records. To guard against interpretation of fluctuations based on small
differences between samples, we used a wide time window to estimate the low-frequency
component and limit our interpretation of “background” CHAR to
broad trends in the data. Background trends in each interpolated CHAR record
were estimated using a Lowess smoother (Cleveland, 1979) with a 3000-year
time window. A detrended series was created by subtracting this low-frequency
trend from the interpolated CHAR series. The method commonly used
for establishing the threshold for charcoal peak detection is based on the
assumption that the noise component is normally distributed around the
background trend (Higuera et al., 2010). However, this assumption is poorly
met in our records because of the prevalence of CHAR values of exactly zero.
Thus, we used a zero-inflated gamma (ZIG) distribution to separate the
detrended series into “noise” and “peak” components, specifying the
99th percentile of the distribution as the global threshold for each
record. The noise component is assumed to reflect random variability, such
as charcoal deposition from distant fires and/or local depositional
processes, and the peak component is used to identify fire events within the
interpolated sample (e.g., Gavin et al., 2003; Lynch et al., 2004; Higuera et
al., 2007).</p>

<?xmltex \floatpos{t}?><table-wrap id="Ch1.T2" specific-use="star"><caption><p>Results of charcoal analysis and modern fire rotation period (FRP)
from all study sites. Fire-return intervals (FRIs) for each site are given
as the range, mean, and most recent FRI (“&gt;” indicates that
there is no modern or previous fire in the record to constrain the
interval). Modern FRPs are calculated for the vegetated areas within a
100 km radius around each lake, with human-caused fires excluded from
analysis. For each FRP, a 95 % quantile range of expected FRIs is
calculated, assuming an exponential distribution with the mean equal to the
FRP.</p></caption><oasis:table frame="topbot"><oasis:tgroup cols="5">
     <oasis:colspec colnum="1" colname="col1" align="left"/>
     <oasis:colspec colnum="2" colname="col2" align="left"/>
     <oasis:colspec colnum="3" colname="col3" align="left"/>
     <oasis:colspec colnum="4" colname="col4" align="left"/>
     <oasis:colspec colnum="5" colname="col5" align="left"/>
     <oasis:thead>
       <oasis:row>  
         <oasis:entry colname="col1"/>  
         <oasis:entry rowsep="1" namest="col2" nameend="col5" align="center">Site </oasis:entry>
       </oasis:row>
       <oasis:row rowsep="1">  
         <oasis:entry colname="col1"/>  
         <oasis:entry colname="col2">Perch</oasis:entry>  
         <oasis:entry colname="col3">Upper Capsule</oasis:entry>  
         <oasis:entry colname="col4">Keche</oasis:entry>  
         <oasis:entry colname="col5">Tungak</oasis:entry>
       </oasis:row>
     </oasis:thead>
     <oasis:tbody>
       <oasis:row>  
         <oasis:entry colname="col1">Charcoal Analysis</oasis:entry>  
         <oasis:entry colname="col2"/>  
         <oasis:entry colname="col3"/>  
         <oasis:entry colname="col4"/>  
         <oasis:entry colname="col5"/>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1">Mean sample resolution (yr sample<inline-formula><mml:math display="inline"><mml:mrow><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup><mml:mo>)</mml:mo></mml:mrow></mml:math></inline-formula></oasis:entry>  
         <oasis:entry colname="col2">22.7 <inline-formula><mml:math display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 13.1</oasis:entry>  
         <oasis:entry colname="col3">37.1 <inline-formula><mml:math display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 14.1</oasis:entry>  
         <oasis:entry colname="col4">9.3 <inline-formula><mml:math display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 1.4</oasis:entry>  
         <oasis:entry colname="col5">50.3 <inline-formula><mml:math display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 49.4</oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1">Average (range) charcoal count (pieces)</oasis:entry>  
         <oasis:entry colname="col2">2.1 (0–114)</oasis:entry>  
         <oasis:entry colname="col3">0.5 (0–11)</oasis:entry>  
         <oasis:entry colname="col4">0.7 (0–85)</oasis:entry>  
         <oasis:entry colname="col5">0.7 (0–25)</oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1">Average (range) charcoal conc.   (pieces cm<inline-formula><mml:math display="inline"><mml:mrow><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">3</mml:mn></mml:mrow></mml:msup><mml:mo>)</mml:mo></mml:mrow></mml:math></inline-formula></oasis:entry>  
         <oasis:entry colname="col2">0.56 (0–28.5)</oasis:entry>  
         <oasis:entry colname="col3">0.14 (0–2.75)</oasis:entry>  
         <oasis:entry colname="col4">0.29 (0–34.0)</oasis:entry>  
         <oasis:entry colname="col5">0.19 (0–6.25)</oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1">Interpolation interval (yr)</oasis:entry>  
         <oasis:entry colname="col2">43</oasis:entry>  
         <oasis:entry colname="col3">65</oasis:entry>  
         <oasis:entry colname="col4">18</oasis:entry>  
         <oasis:entry colname="col5">89</oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1">Number of peaks identified as fires</oasis:entry>  
         <oasis:entry colname="col2">3</oasis:entry>  
         <oasis:entry colname="col3">1</oasis:entry>  
         <oasis:entry colname="col4">6</oasis:entry>  
         <oasis:entry colname="col5">5</oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1">Range of FRIs (yr)</oasis:entry>  
         <oasis:entry colname="col2">2924–6536</oasis:entry>  
         <oasis:entry colname="col3">&gt; 5590 to &gt; 6500</oasis:entry>  
         <oasis:entry colname="col4">144–3906</oasis:entry>  
         <oasis:entry colname="col5">1157 to  &gt; 9968</oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1">Mean FRI (yr)</oasis:entry>  
         <oasis:entry colname="col2">4730</oasis:entry>  
         <oasis:entry colname="col3">6045</oasis:entry>  
         <oasis:entry colname="col4">1648</oasis:entry>  
         <oasis:entry colname="col5">5904</oasis:entry>
       </oasis:row>
       <oasis:row rowsep="1">  
         <oasis:entry colname="col1">Most recent FRI (yr)</oasis:entry>  
         <oasis:entry colname="col2">6536</oasis:entry>  
         <oasis:entry colname="col3">&gt; 6500</oasis:entry>  
         <oasis:entry colname="col4">&gt; 882</oasis:entry>  
         <oasis:entry colname="col5">&gt; 7031</oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1">Modern Fire Rotation Period (FRP)</oasis:entry>  
         <oasis:entry colname="col2"/>  
         <oasis:entry colname="col3"/>  
         <oasis:entry colname="col4"/>  
         <oasis:entry colname="col5"/>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1">Burnable area within 100 km radius (km<inline-formula><mml:math display="inline"><mml:mrow><mml:msup><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msup><mml:mo>)</mml:mo></mml:mrow></mml:math></inline-formula></oasis:entry>  
         <oasis:entry colname="col2">27809</oasis:entry>  
         <oasis:entry colname="col3">21976</oasis:entry>  
         <oasis:entry colname="col4">21666</oasis:entry>  
         <oasis:entry colname="col5">13814</oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1">Number of observed fires 1950–2013</oasis:entry>  
         <oasis:entry colname="col2">3</oasis:entry>  
         <oasis:entry colname="col3">2</oasis:entry>  
         <oasis:entry colname="col4">19</oasis:entry>  
         <oasis:entry colname="col5">12</oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1">Total area burned 1950–2013 (km<inline-formula><mml:math display="inline"><mml:mrow><mml:msup><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msup><mml:mo>)</mml:mo></mml:mrow></mml:math></inline-formula></oasis:entry>  
         <oasis:entry colname="col2">932.1</oasis:entry>  
         <oasis:entry colname="col3">679.4</oasis:entry>  
         <oasis:entry colname="col4">1798.5</oasis:entry>  
         <oasis:entry colname="col5">116.9</oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1">FRP (yr)</oasis:entry>  
         <oasis:entry colname="col2">1909</oasis:entry>  
         <oasis:entry colname="col3">2070</oasis:entry>  
         <oasis:entry colname="col4">771</oasis:entry>  
         <oasis:entry colname="col5">7560</oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1">95 % quantile range of expected FRIs (yr)</oasis:entry>  
         <oasis:entry colname="col2">48–7042</oasis:entry>  
         <oasis:entry colname="col3">52–7636</oasis:entry>  
         <oasis:entry colname="col4">19–2844</oasis:entry>  
         <oasis:entry colname="col5">191–27888</oasis:entry>
       </oasis:row>
     </oasis:tbody>
   </oasis:tgroup></oasis:table></table-wrap>

      <p>We used a minimum count screening to remove peak identification that could
arise from statistical noise associated with low charcoal particle counts
(Gavin et al., 2006). If the charcoal count for a peak sample had a
&gt; 15 % probability of being drawn from the same Poisson
distribution as the lowest non-peak count within the previous 1500 years,
the peak was rejected. After thresholds were determined, we calculated a
signal-to-noise index (SNI) to evaluate the suitability of our records for
peak detection (Kelly et al., 2011). The identified charcoal peaks were
interpreted as fire events, and fire-return intervals (FRIs) were calculated
as years between individual fire events.</p>
      <p>To place our fire-history reconstructions in the context of fires on the
modern landscape, we calculated the fire-rotation period (FRP, also termed
fire cycle; Johnson and Gutsell, 1994) for each site. The FRP value
calculated from spatially explicit data of fire observations is equivalent
to the mean FRI calculated from temporal variations in fire occurrence for
any point on the landscape (Johnson and Gutsell, 1994), and thus modern FRP
can be compared to paleo-inferred mean FRI (Kelly et al., 2013). We defined
the FRP at each lake as <inline-formula><mml:math display="inline"><mml:mrow><mml:mi>t</mml:mi><mml:mo>/</mml:mo><mml:mo>(</mml:mo><mml:msubsup><mml:mo>∑</mml:mo><mml:mrow><mml:mi>i</mml:mi><mml:mo>=</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow><mml:mi>n</mml:mi></mml:msubsup><mml:msub><mml:mi>a</mml:mi><mml:mi>i</mml:mi></mml:msub><mml:mo>/</mml:mo><mml:mi>A</mml:mi><mml:mo>)</mml:mo></mml:mrow></mml:math></inline-formula>, where
<inline-formula><mml:math display="inline"><mml:mi>t</mml:mi></mml:math></inline-formula> is the temporal span of the historical fire record (CE 1950–2013, 63 years),
<inline-formula><mml:math display="inline"><mml:mrow><mml:msub><mml:mi>a</mml:mi><mml:mi>i</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula> is the area (km<inline-formula><mml:math display="inline"><mml:mrow><mml:msup><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msup><mml:mo>)</mml:mo></mml:mrow></mml:math></inline-formula> burned by fire <inline-formula><mml:math display="inline"><mml:mi>i</mml:mi></mml:math></inline-formula>, <inline-formula><mml:math display="inline"><mml:mi>n</mml:mi></mml:math></inline-formula> is the total number
of fires (with a range of 2 to 19), and <inline-formula><mml:math display="inline"><mml:mi>A</mml:mi></mml:math></inline-formula> is the vegetated area (km<inline-formula><mml:math display="inline"><mml:mrow><mml:msup><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msup><mml:mo>)</mml:mo></mml:mrow></mml:math></inline-formula> within
the 100 km buffer (Baker, 2009). We found that site-specific FRP
calculations were generally stable for radii between 60 and 140 km,
suggesting the 100 km radius is an appropriate area to characterize the
modern fire regime. To obtain the vegetated area within each buffer, we
subtracted barren and open water landcover classes (defined by the National
Landcover Database vegetation survey from 2006 (NLDC, 2006) and the North
American Land Change Monitoring System; NALCMS, 2005) from the total area,
based on the rationale that these cover types do not have burnable fuels. We
also removed any fire perimeters that were described as human-caused. We
present each FRP with the 95 % quantile range from an exponential
distribution with mean equal to the FRP. These bounds represent the likely
range of individual FRIs expected for a fire regime defined by the estimated
FRP.</p>

      <?xmltex \floatpos{t}?><fig id="Ch1.F3" specific-use="star"><caption><p>Charcoal records and peak analysis; panel <bold>(a)</bold> shows raw and interpolated
charcoal accumulation rates, panel <bold>(b)</bold> shows background (i.e., low-frequency variability)
charcoal accumulation rates and panel <bold>(c)</bold> shows charcoal peak identification.</p></caption>
        <?xmltex \igopts{width=369.885827pt}?><graphic xlink:href="https://bg.copernicus.org/articles/12/4017/2015/bg-12-4017-2015-f03.png"/>

      </fig>

</sec>
<sec id="Ch1.S4" sec-type="conclusions">
  <title>Results and discussion</title>
<sec id="Ch1.S4.SS1">
  <title>Chronologies</title>
      <p>The age–depth models of our four sediment records were based on a total of
56 <inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mn>210</mml:mn></mml:msup></mml:math></inline-formula>Pb-estimated ages, 41 calibrated <inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mn>14</mml:mn></mml:msup></mml:math></inline-formula>C ages, and one
tephra-based age (Fig. 2; Table S1). The chronology for Upper Capsule Lake
follows Oswald et al. (2003). The <inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mn>14</mml:mn></mml:msup></mml:math></inline-formula>C ages for the other three lakes
are all in chronological order with the exception of the age at 107 cm in
the Keche Lake core. This age was excluded from chronological modeling as it
was considered too old based on surrounding dates; the dated material likely
had resided in watershed soils before deposition in the lake, a common
<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mn>14</mml:mn></mml:msup></mml:math></inline-formula>C-dating problem for arcto-boreal sediments (Oswald et al., 2005). The
density of <inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mn>14</mml:mn></mml:msup></mml:math></inline-formula>C dates varies across the four sites; for example, the
Tungak Lake chronology is constrained by only five <inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mn>14</mml:mn></mml:msup></mml:math></inline-formula>C ages for the
past 35 500 years, whereas the Perch Lake chronology is constrained by 10
<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mn>14</mml:mn></mml:msup></mml:math></inline-formula>C ages for the past 9500 years.</p>
      <p>Sedimentation rates are relatively low across all four sites. Based on the
age–depth model, the Perch Lake record spans the past ca. 9500 years, with an
average sedimentation rate (<inline-formula><mml:math display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula>standard deviation) of 0.04 <inline-formula><mml:math display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 0.08 cm yr<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula>
(Table 1). The Upper Capsule record spans the past ca. 12 100 years,
with an average sedimentation rate of 0.03 <inline-formula><mml:math display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 0.01 cm yr<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula>.
The Keche Lake sediment core has a modeled basal age of 11.5
 kcal BP and an average sedimentation rate of 0.03 <inline-formula><mml:math display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 0.03 cm yr<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula>.
Tungak Lake has the oldest sediment sequence in this study,
spanning the past ca. 35 500 years. The sedimentation rate changes at 38 cm
from 0.03 <inline-formula><mml:math display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 0.04 cm yr<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula> between 12.0 and 35.5 kcal BP to 0.01 <inline-formula><mml:math display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 0.03 cm yr<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula> after 12.0 kcal BP. These relatively low
sedimentation rates did not present a problem for the identification of
local fires because of the rarity of fires across all four sites (see
below).</p>
</sec>
<sec id="Ch1.S4.SS2">
  <title>Spatial and temporal patterns of fire occurrence</title>
      <p>The two charcoal records from the North Slope both exhibit low background
CHAR (mean is 0.008 pieces cm<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">2</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula> yr<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula> for Perch and Upper
Capsule) (Fig. 3b), suggesting minimal biomass burned in the region over the
past ca. 12 000 years. For comparison, background CHAR values have means of
0.340 pieces cm<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">2</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula> yr<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula> in boreal fire records from interior
Alaska (Kelly et al., 2013) and 0.012 pieces cm<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">2</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula> yr<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula> in the
tundra-fire records of the Noatak River Watershed (Higuera et al., 2011).
Charcoal peak analysis identified only three local fires in the Perch Lake
record, at 9.4 kcal BP, 6.5 kcal BP, and CE 2007 (Fig. 3c). This result
confirms the published finding from this site that the ARF in CE 2007 was
unprecedented in the past 5000 years (Hu et al., 2010), and extends the
uniqueness of this fire event to the past 6500 years. Around Upper Capsule
Lake, only one fire occurred during the past ca. 12 000 years. This fire is
dated at ca. 6.45 kcal BP (Fig. 3c), coincident with the Perch Lake fire at
ca. 6.48 kcal BP. Given the local origin of macroscopic charcoal peaks
(0.5–1.0 km; Higuera et al., 2007) and the distance between the two lakes
(<inline-formula><mml:math display="inline"><mml:mo>∼</mml:mo></mml:math></inline-formula> 50 km), it is unlikely that a fire event at one site
resulted in a charcoal peak at the other site. Instead, the presence of a
prominent charcoal peak at 6.5 kcal BP in both records likely represents a
single large fire that burned across both sites. Because the magnitude of
charcoal peaks reflects, in part, the amount of burned biomass (e.g.,
Whitlock et al., 2006; Higuera et al., 2009), the higher CHAR peak at 6.5 kcal
BP at Perch Lake suggests that the amount of biomass consumed in the
fire at 6.5 kcal BP was greater than that of the ARF. Alternatively, two
separate but similarly-timed events may have occurred in the watersheds of
these lakes. Because vegetation has changed little over the past ca. 7000
years (Oswald et al., 2003), this fire event suggests that climate and/or
ignition constraints on burning were relaxed during this time, perhaps as
least as warm and dry as the anomalous climatic conditions that facilitated
the ARF (Hu et al., 2010). However, we cannot verify this interpretation
because no suitable paleoclimate record with seasonal resolution is
available from the region (Oswald et al., 2014).</p>
      <p>The Keche Lake record spans several millennia during the early Holocene when
tundra vegetation dominated the regional landscape and climate was generally
cooler and drier than modern (Anderson and Brubaker, 1994; Kaufman et al., 2015;
Clegg et al., 2011). Background CHAR is exceptionally low,
with a mean of 0.0007 pieces cm<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">2</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula> yr<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula> from 11.4 to 8.8 kcal BP
(Fig. 3b), suggesting little burning on the early-Holocene landscape of the
region. No local fires occurred around Keche Lake during this period.
Background CHAR increases to a mean of 0.02 pieces cm<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">2</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula> yr<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula>
between 8.8 and 4.5 kcal BP (Fig. 3b), suggesting an increase in regional
burning coincident with the development of a forest-tundra ecotone in the
Alaskan interior with sparse stands of <italic>Picea glauca</italic> (white spruce) near Keche Lake by
ca. 9.0 kcal BP (Anderson and Brubaker, 1994). Local fires were more frequent at
Keche Lake between 8.8 and 4.5 kcal BP than during the early and late
Holocene, with five events at 7.6, 7.4, 6.5, 5.1, and 4.6 kcal BP (Fig. 3c).
This change implies that tundra burning was limited either by cooler summer
temperatures in the early Holocene or by a lack of biomass, given that the
early Holocene was drier than the middle Holocene in the Alaskan interior
(Kaufman et al.,  2015), which should have favored burning. It is
possible that the lack of fire in the early Holocene resulted from locally
moist conditions in summer, as suggested by peatland expansion that began ca. 11.2–10.7 kcal
BP at a site <inline-formula><mml:math display="inline"><mml:mo>∼</mml:mo></mml:math></inline-formula> 20 km to the northwest of Keche
Lake (Jones and Yu, 2010). Background CHAR decreases to 0.004 pieces cm<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">2</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula> yr<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula>
from 4.5 kcal BP to present, and only one fire event
occurred during the past ca. 4500 years near Keche Lake (Fig. 3). In
contrast, area burned and fire frequency increased after 4.0 kcal BP in the
boreal forests of interior Alaska (Higuera et al., 2009; Hu et al., 2006;
Kelly et al., 2013). This contrast can be attributed to the development of
flammable forests dominated by <italic>P. mariana</italic> (black spruce) in the lowlands of interior
Alaska (Higuera et al., 2009; Kelly et al., 2013), and the absence of this
species in upland treeline areas around Keche Lake. The low fire frequency
at Keche Lake after 4.5 kcal BP may have resulted from decreasing summer
temperatures associated with late-Holocene neo-glaciation (e.g., Barclay et
al., 2009; Clegg et al., 2011; Badding et al., 2013).</p>
      <p>The Tungak Lake record is the longest fire-history reconstruction from
Alaska. Throughout the past ca. 35 000 years, low background CHAR in this
record (mean is 0.002 pieces cm<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">2</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula> yr<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula>; Fig. 3b) suggests little
burning, likely resulting from a combination of cold and sometimes arid
conditions that limited biomass in the widespread graminoid-herb tundra of
the region (Ager et al., 2003; Kurek et al., 2009). Only five local fires
are identified over the past 35 000 years (Fig. 3c). Between 25.5 and 14.0 kcal
BP, background CHAR is generally higher than the remainder of the
record, and peak analysis shows four local fire events at 25.4, 17.8, 16.7,
and 14.4 kcal BP. During this period, the modern-day coastal regions of
Alaska experienced greater continentality because of lower sea levels,
resulting in more arid conditions than today (e.g., Alfimov and Berman, 2001;
Kurek et al., 2009). Such conditions may have relaxed the climatic
constraints on tundra burning, leading to more frequent fire events between
25.5 and 14.0 kcal BP compared to the Holocene (i.e., after 11.7 kcal BP).
During the Holocene, background CHAR is lower than during the glacial
period, and peak analysis suggests only one fire event, at 7.0 kcal BP. Thus
fire activity decreased during the Holocene, probably as a result of
increased effective moisture in the region despite increased tundra biomass
compared to the glacial period (Ager, 2003; Hu et al., 1995).</p>
      <p>Overall, the most striking feature of our records is that these tundra
regions have generally persisted as rare-fire systems for many millennia.
With the exception of the ARF on the North Slope, the most recent fire
events at these sites occurred from 882 to 7031 years ago (Table 2; Fig. 3c).
These results stand in stark contrast with the paleofire data from the
tundra ecosystems of the Noatak River Watershed. In that area, mean FRIs
ranged from 135 to 309 years based on charcoal records of the past 2000
years from several lakes, comparable to mean FRIs from modern boreal forests
in Alaska (Higuera et al., 2011). In northcentral Alaska, Higuera et al. (2008) documented frequent tundra fires during the late-glacial and
early-Holocene period between 14 and 10 kcal BP, a finding supported by a
microscopic charcoal record from central Alaska (Tinner et al., 2006).
However, evaluating the spatial extent of this finding has not been possible
because of the general lack of paleofire data from this period. Three of our
four charcoal records span the entirety (Tungak Lake) or a portion of this
period (Upper Capsule and Keche lakes). These new records show no enhanced
fire activity during this period; only one local fire occurred near this
time period (at 14.4 kcal BP at Tungak Lake), and regional biomass burning
was consistently low across all three sites between 14 and 10 kcal BP (Fig. 3).
Together with the previous fire-history reconstructions, our data
suggest that the rate of tundra burning was spatially variable throughout
the late Quaternary.</p>
</sec>
<sec id="Ch1.S4.SS3">
  <title>Recent tundra burning in the context of paleofire records</title>
      <p>Our paleofire records can provide a context for comparison with modern
tundra-fire regimes by invoking the statistical equivalency of the mean FRI
and the modern fire rotation period (FRP; Johnson and Gutsell, 1994). We
compared our paleo-based mean FRI estimates with the FRP values calculated
from spatially explicit data of modern fire observations spanning the past
63 years. Across our four sites, modern FRPs within 100 km of each lake
ranged from 771 years (Keche Lake) to 7560 years (Tungak Lake), with
intermediate values at Perch (1909 years) and Upper Capsule (2070 years)
lakes (Table 2). Although the rarity of tundra burning makes these estimates
highly uncertain, the spatial patterns are similar to those in our
paleofire records, suggesting that the differences in tundra burning across
our study sites have been present over long timescales (Fig. 4). These
variations are largely related to spatial heterogeneity in climate (Young et
al., 2013), consistent with the finding that summer temperature and
precipitation explained 95 % of the interannual variability in area burned
in Alaskan tundra (Hu et al., 2010).</p>

      <?xmltex \floatpos{t}?><fig id="Ch1.F4"><caption><p>Fire rotation period (FRP) estimated for the 100 km buffer around
each site, and individual and mean paleo-based fire-return intervals (FRIs)
from the sediment charcoal records. 95 % quantile ranges represent
expected values for individual FRIs, based on the estimated FRP. Censored
FRIs are individual FRIs with no modern or previous fire to constrain the
interval.</p></caption>
          <?xmltex \igopts{width=236.157874pt}?><graphic xlink:href="https://bg.copernicus.org/articles/12/4017/2015/bg-12-4017-2015-f04.png"/>

        </fig>

      <p><?xmltex \hack{\newpage}?>Our paleofire analyses underestimate the true mean FRI because the oldest
and most recent fire events in each record only provide minimum FRI
estimates (i.e., censored intervals; Fig. 4). Despite this underestimation,
at three of our four study sites, the mean FRI estimates from the paleofire
records are longer than the FRP estimates based on recent fires.
Specifically, the mean FRI (range) estimates of 4730 (2924–6536) years at
Perch Lake and 6045 (&gt; 5590 to &gt; 6500) years at Upper
Capsule Lake are much longer than the FRP (95 % quantile range) estimates
of 1909 (48–7042) and 2070 (52–7636) years for these lakes, respectively
(Fig. 4; Table 2). Likewise, the mean FRI estimate of 1648 (144–3906) years
at Keche Lake is longer than the modern FRP estimate of 771 (19–2844) years.
The exception is Tungak Lake where the mean FRI of 5904 (1157 to &gt; 9968)
is shorter than the FRP of 7560 (191–27 888) years. This shorter mean
FRI reflects more frequent burning between 25.5 and 14.0 kcal BP, when the
region was probably more arid than during the Holocene. The FRP of 7560
years is similar to the most recent individual FRI of &gt; 7031
years at that site (Table 2). Thus our analysis suggests that the frequency
of tundra burning was higher over the past 63 years at three of our four
sites compared to the late Quaternary. This inference suggests elevated fire
activity in some tundra regions at present, possibly as a result of
anthropogenic climate change.</p>

      <?xmltex \floatpos{t}?><fig id="Ch1.F5"><caption><p>Perch Lake fire-return intervals (FRIs) based on paleorecords, modern fire
rotation period (FRP), and FRPs for CE 2050, assuming one to four additional
large fires within the 100 km radius around the lake. ARF-sized fires are 919.7 km<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msup></mml:math></inline-formula>,
which is the total vegetated area burned during the
Anaktuvuk River Fire in a 100 km radius around Perch Lake. Mean and
individual FRIs from Perch Lake are shown on the far left (symbols same as Fig. 4).
FRP estimates are shown with 95 % quantile range of expected FRIs, assuming an
exponential distribution with the mean equal to the FRP.</p></caption>
          <?xmltex \igopts{width=236.157874pt}?><graphic xlink:href="https://bg.copernicus.org/articles/12/4017/2015/bg-12-4017-2015-f05.png"/>

        </fig>

      <p>However, the above comparison is inconclusive, because the range of
individual FRIs at each site generally falls within the broad range of FRIs
that can be expected to arise by chance, as defined by the 95 % quantile
range around the FRP estimates (Fig. 4). Furthermore, the ranges of
individual FRIs from the paleorecords are likely influenced by past climate
and vegetation conditions that differed from modern conditions, and the
estimates of both mean FRI and FRP are uncertain due to the rarity of tundra
fires and thus high sensitivity to individual fire events. For example,
without the ARF, the FRP in the tundra region of Perch and Upper Capsule
lakes would be &gt; 100 000 years, which is much longer than the FRP
estimates of Perch (1909 years) and Upper Capsule (2070 years) lakes with
the inclusion of the ARF. Thus quantitative comparisons between the mean FRI
estimated from our paleorecords and the FRP estimates from historic
observational records inherently contain a large amount of uncertainty.</p>
      <p>Paleorecords provide critical information regarding natural variability and
thus play an important role in assessing potential anthropogenic changes in
climate and ecosystems. Our results comparing paleo-inferred mean FRI and
observed modern FRP illustrate an important limitation of using paleofire
records in systems that rarely burn to quantitatively assess whether recent
burning is beyond the range of natural variability. This limitation is
applicable to other situations where the events of interest have rarely
occurred in the past. One way to circumvent this limitation is to increase
the spatial density of paleorecords and pool the data of detected past
events to improve statistical power (Whitlock et al., 2010). Several
paleofire studies have demonstrated the value of increasing the spatial
density of sampling for bolstering the confidence in inferences about recent
changes (Marlon et al., 2012; Kelly et al., 2013).</p>
      <p>The utility of paleorecords with rare events may improve if the frequency of
such events increases markedly in the future. To examine how much burning
would be required to shift the fire regime unequivocally beyond the range of
past FRIs, we considered hypothetical scenarios of future burning around
Perch Lake, which has two well-constrained (i.e., uncensored) FRIs in the
Holocene paleofire record. We calculated the FRP for CE 2050, assuming the
addition of one to four fires of the ARF size (<inline-formula><mml:math display="inline"><mml:mo>∼</mml:mo></mml:math></inline-formula> 1000 km<inline-formula><mml:math display="inline"><mml:mrow><mml:msup><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msup><mml:mo>)</mml:mo></mml:mrow></mml:math></inline-formula>
within the 100 km radius around Perch Lake (Fig. 5). One
additional ARF-sized fire would shift the Perch Lake FRP estimate to 1502
years. This FRP is much shorter than the mean FRI of 4730 years based on the
paleofire record from Perch Lake, and the most recent FRI at the lake (6536 years)
is well outside the 95 % quantile range indicated by this updated
FRP estimate. Thus, the addition of a single ARF-sized fire within the
100 km region surrounding Perch Lake would offer compelling evidence that
the modern fire regime represents a significant increase in fire activity.
The occurrence of additional large fire events would further decrease the
FRP and strengthen confidence in that estimate, making it increasingly
difficult to accept the null hypothesis that the modern fire regime is
consistent with past variability. Thus, although the rarity of fire events
makes it uncertain as to whether modern fire regimes differ from the past,
the uncertainty will be reduced as the observational record grows,
especially if a dramatic fire-regime shift is indeed underway. Increasing
the spatial density of paleorecords to refine our understanding of past
variability would enhance the rigor of testing whether or not recent and
future changes in fire regimes are truly unprecedented.</p>
</sec>
</sec>

      
      </body>
    <back><app-group>
        <supplementary-material position="anchor"><p><bold>The Supplement related to this article is available online at <inline-supplementary-material xlink:href="http://dx.doi.org/10.5194/bg-12-4017-2015-supplement" xlink:title="pdf">doi:10.5194/bg-12-4017-2015-supplement</inline-supplementary-material>.</bold></p></supplementary-material>
        </app-group><notes notes-type="authorcontribution">

      <p>F. S. Hu and P. E. Higuera designed the project and led the fieldwork. M. L. Chipman and V. Hudspith performed
lab work and analyses. P. E. Higuera, R. Kelly, and P. A. Duffy  assisted with statistical analyses.
W. W. Oswald contributed sediments and chronological data from Upper Capsule Lake.
M. L. Chipman  and F. S. Hu wrote the manuscript with comments from all authors.</p>
  </notes><ack><title>Acknowledgements</title><p>We thank T. Brown for radiocarbon analysis and R. Vachula, C. Stephens, and
M. Leonawicz for laboratory and GIS assistance. Funding for this research
was provided by NSF grants ARC-1023477 to F. S. Hu and ARC-1023669 to P. E. Higuera and
P. A. Duffy, and the EPA STAR Fellowship to M. L. Chipman. This manuscript benefited from
discussion with D. Devotta, M. Urban, M. Fernandez, and J. Napier. The
data set reported here is available at
<uri>http://www.ncdc.noaa.gov/paleo/data.html</uri>.<?xmltex \hack{\newline}?><?xmltex \hack{\newline}?>
Edited by: A. Ito</p></ack><ref-list>
    <title>References</title>

      <ref id="bib1.bib1"><label>1</label><mixed-citation>
Ager, T. A.: Late Quaternary vegetation and climate history of the central
Bering land bridge from St. Michael Island, western Alaska, Quaternary Res.,
60, 19–32, 2003.</mixed-citation></ref>
      <ref id="bib1.bib2"><label>2</label><mixed-citation>AICC – Alaska Interagency Coordination Center: Fire perimeter data,
<uri>http://fire.ak.blm.gov/</uri> (last access: 21 May 2013),
1943–2013.</mixed-citation></ref>
      <ref id="bib1.bib3"><label>3</label><mixed-citation>
Alfimov, A. V. and Berman, D. I.: Beringian climate during the Late
Pleistocene and Holocene, Quaternary Sci. Rev., 20, 127–134, 2001.</mixed-citation></ref>
      <ref id="bib1.bib4"><label>4</label><mixed-citation>
Anderson, P. M. and Brubaker, L. B.: Vegetation history of northcentral
Alaska: A mapped summary of late Quaternary pollen data, Quaternary Sci.
Rev., 13, 71–92, 1994.</mixed-citation></ref>
      <ref id="bib1.bib5"><label>5</label><mixed-citation>Badding, M. E., Briner, J. P., and Kaufman, D. S.: <inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mn>10</mml:mn></mml:msup></mml:math></inline-formula>Be ages of late
Pleistocene deglaciation and Neoglaciation in the north central Brooks
Range, Arctic Alaska, J. Quaternary Sci., 21, 95–102, 2013.</mixed-citation></ref>
      <ref id="bib1.bib6"><label>6</label><mixed-citation>
Baker, W. L.: Fire Ecology in Rocky Mountain Landscapes, Island Press,
Washington, DC, 2009.</mixed-citation></ref>
      <ref id="bib1.bib7"><label>7</label><mixed-citation>
Barclay, D. J., Wiles, G. C., and Calkin, P. E.: Holocene glacier fluctuations
in Alaska, Quaternary Sci. Rev., 28, 2034–2048, 2009.</mixed-citation></ref>
      <ref id="bib1.bib8"><label>8</label><mixed-citation>
Begét, J., Mason, O., and Anderson, P.: Age, extent and climatic
significance of the ca. 3400 BP Aniakchak tephra, western Alaska, USA,
Holocene, 2, 51–56, 1992.</mixed-citation></ref>
      <ref id="bib1.bib9"><label>9</label><mixed-citation>
Binford, M. W.: Calculation and uncertainty analysis of 210Pb dates for PIRLA
project lake sediment cores, J. Paleolimnol., 3, 253–267, 1990.</mixed-citation></ref>
      <ref id="bib1.bib10"><label>10</label><mixed-citation>
CAVM Team: Circumpolar Arctic Vegetation Map. (1:7,500,000 scale),
Conservation of Arctic Flora and Fauna (CAFF) Map No. 1. U.S. Fish and
Wildlife Service, Anchorage, Alaska, ISBN: 0-9767525-0-6, ISBN-13:
978-0-9767525-0-9, 2003.</mixed-citation></ref>
      <ref id="bib1.bib11"><label>11</label><mixed-citation>CharAnalysis v1.1 program, <uri>http://code.google.com/p/charanalysis/</uri>, last
access: 13 May 2013.</mixed-citation></ref>
      <ref id="bib1.bib12"><label>12</label><mixed-citation>
Clegg, B. F., Kelly, R., Clarke, G. H., Walker, I. R., and Hu, F. S.: Nonlinear
response of summer temperature to Holocene insolation forcing in Alaska, P.
Natl. Acad. Sci. USA, 108, 19299–19304, 2011.</mixed-citation></ref>
      <ref id="bib1.bib13"><label>13</label><mixed-citation>Cleveland, W. S.: Robust locally weighted regression and smoothing
scatterplots, J. Am. Stat. Assoc., 74, 829–836, <ext-link xlink:href="http://dx.doi.org/10.2307/2286407" ext-link-type="DOI">10.2307/2286407</ext-link>, 1979.</mixed-citation></ref>
      <ref id="bib1.bib14"><label>14</label><mixed-citation>
Eakins, J. D. and Morrison, T.: A new procedure for the determination of
lead-210 in lake and marine sediments, Int. J. Appl. Radiat. Is., 29,
531–536, 1978.</mixed-citation></ref>
      <ref id="bib1.bib15"><label>15</label><mixed-citation>Gavin, D. G., Brubaker, L. B., and Lertzman, K. P.: An 1800-year record of the
spatial and temporal distribution of fire from the west coast of Vancouver
Island, Canada, Can. J. Forest Res., 33, 573–586, <ext-link xlink:href="http://dx.doi.org/10.1139/X02-196" ext-link-type="DOI">10.1139/X02-196</ext-link>,
2003.</mixed-citation></ref>
      <ref id="bib1.bib16"><label>16</label><mixed-citation>
Gavin, D. G., Hu, F. S., Lertzman, K., and Corbett, P.: Weak climatic control
of stand-scale fire history during the late Holocene, Ecology, 87,
1722–1732, 2006.</mixed-citation></ref>
      <ref id="bib1.bib17"><label>17</label><mixed-citation>Grosse, G., Harden, J., Turetsky, M., McGuire, A. D., Camill, P., Tarnocai,
C., Frolking, S., Schuur, E. A. G., Jorgenson, T., Marchenko, S., Romanovsky,
V., Wickland, K. P., French, N., Waldrop, M., Bourgeau-Chavez, L., and
Striegl, R. G.: Vulnerability of high latitude soil organic carbon in North
America to disturbance, J. Geophys. Res., 116, G00K06,
<ext-link xlink:href="http://dx.doi.org/10.1029/2010JG001507" ext-link-type="DOI">10.1029/2010JG001507</ext-link>, 2011.</mixed-citation></ref>
      <ref id="bib1.bib18"><label>18</label><mixed-citation>
Higuera, P. E., Peters, M. E., Brubaker, L. B., and Gavin, D. G.: Understanding
the origin and analysis of sediment-charcoal records with a simulation
model, Quaternary Sci. Rev., 26, 1790–1809, 2007.</mixed-citation></ref>
      <ref id="bib1.bib19"><label>19</label><mixed-citation>Higuera, P. E., Brubaker, L. B., Anderson, P. M., Brown, T. A., Kennedy, A.
T., and Hu, F. S.: Frequent fires in ancient shrub tundra: Implications of
paleorecords for Arctic environmental change, PLoS One, 3, e0001744, <ext-link xlink:href="http://dx.doi.org/10.1371/journal.pone.0001744" ext-link-type="DOI">10.1371/journal.pone.0001744</ext-link>, 2008.</mixed-citation></ref>
      <ref id="bib1.bib20"><label>20</label><mixed-citation>
Higuera, P. E., Brubaker, L. B., Anderson, P. M., Hu, F. S., and Brown, T. A.:
Vegetation mediated the impacts of postglacial climate change on fire
regimes in the south-central Brooks Range, Alaska, Ecol. Monogr., 79,
201–219, 2009.</mixed-citation></ref>
      <ref id="bib1.bib21"><label>21</label><mixed-citation>
Higuera, P. E., Gavin, D. G., Bartlein, P. J., and Hallett, D. J.: Peak detection
in sediment-charcoal records: impacts of alternative data analysis methods
on fire-history interpretations, Int. J. Wildland Fire, 19, 996–1014, 2010.</mixed-citation></ref>
      <ref id="bib1.bib22"><label>22</label><mixed-citation>
Higuera, P. E., Chipman, M. L., Barnes, J. L., Urban, M. A., and Hu, F. S.:
Variability of tundra fire regimes in Arctic Alaska: millennial-scale
patterns and ecological implications, Ecol. Appl., 21, 3211–3226, 2011.</mixed-citation></ref>
      <ref id="bib1.bib23"><label>23</label><mixed-citation>
Hu, F. S., Brubaker, L. B., and Anderson, P. M.: Postglacial vegetation and
climate change in the northern Bristol Bay region, southwestern Alaska,
Quaternary Res., 43, 382–392, 1995.</mixed-citation></ref>
      <ref id="bib1.bib24"><label>24</label><mixed-citation>Hu, F. S., Brubaker, L. B., Gavin, D. G., Higuera, P. E., Lynch, J. A., Rupp,
T. S., and Tinner, W.: How climate and vegetation influence the fire regime of
the Alaskan boreal-forest biome: the Holocene perspective, Mitig. Adapt.
Strat. Gl., 11, 829–846, <ext-link xlink:href="http://dx.doi.org/10.1007/s11027-005-9015-4" ext-link-type="DOI">10.1007/s11027-005-9015-4</ext-link>, 2006.</mixed-citation></ref>
      <ref id="bib1.bib25"><label>25</label><mixed-citation>Hu, F. S., Higuera, P. E., Walsh, J. E., Chapman, W. L., Duffy, P. A., Brubaker,
L. B., and Chipman, M. L.: Tundra burning in Alaska: Linkages to climatic
change and sea ice retreat, J. Geophys. Res., 115, G04002,
<ext-link xlink:href="http://dx.doi.org/10.1029/2009JG001270" ext-link-type="DOI">10.1029/2009JG001270</ext-link>, 2010.</mixed-citation></ref>
      <ref id="bib1.bib26"><label>26</label><mixed-citation>
Kaufman, D. S., Jensen, B. J. L., Reyes, A. V., Schiff, C. J., Froese, D. G., and
Pearce, N. J. G.: Late Quaternary tephrostratigraphy, Ahklun Mountains, SW
Alaska, J. Quaternary Sci., 27, 344–959, 2012.</mixed-citation></ref>
      <ref id="bib1.bib27"><label>27</label><mixed-citation>
Kaufman, D. S., Axford, Y. L., Henderson, A. C. G., McKay, N. P., Oswald, W. W.,
Saenger, C., Anderson, R. S., Bailey, H. L., Clegg, B., Gajewski, K., Hu,
F. S., Jones, M. C., Massa, C., Routson, C. C., Werner, A., Wooller, M. J., and
Yu, Z.: Holocene climate changes in eastern Beringia (NW North America) – A
systematic review of multi-proxy evidence, Quaternary Sci. Rev., in review,
2015.</mixed-citation></ref>
      <ref id="bib1.bib28"><label>28</label><mixed-citation>
Kelly, R., Higuera, P. E., Barrett, C., and Hu, F. S.: A signal-to-noise index
to quantify the potential for peak detection in sediment-charcoal records,
Quaternary Res., 75, 11–17, 2011.</mixed-citation></ref>
      <ref id="bib1.bib29"><label>29</label><mixed-citation>Kelly, R., Chipman, M. L, Higuera, P. E, Stephanova, V., Brubaker, L., and Hu,
F. S: Recent burning of boreal forests exceeds fire regime limits of the past
10,000 years, P. Natl. Acad. Sci. USA, 110, 13055–13060,
<ext-link xlink:href="http://dx.doi.org/10.1073/pnas.1305069110" ext-link-type="DOI">10.1073/pnas.1305069110</ext-link>, 2013.</mixed-citation></ref>
      <ref id="bib1.bib30"><label>30</label><mixed-citation>
Kurek, J., Cwyner, L. C., Ager, T. A., Abbott, M. B., and Edwards, M. E.: Late
Quaternary paleoclimate of western Alaska inferred from fossil chironomids
and its relation to vegetation histories, Quaternary Sci. Rev., 28, 799–811,
2009.</mixed-citation></ref>
      <ref id="bib1.bib31"><label>31</label><mixed-citation>
Johnson, E. A. and Gutsell, S. L.: Fire frequency models, methods, and
interpretations, in: Advances in Ecological Research, Academic, London,
England, 239–287, 1994.</mixed-citation></ref>
      <ref id="bib1.bib32"><label>32</label><mixed-citation>
Jones, B. M., Kolden, C. A., Jandt, R., Abatzoglou, J. T., Urban, F., and Arp,
C. D.: Fire behavior, weather, and burn severity of the 2007 Anaktuvuk river
tundra fire, North Slope, Alaska, Arct. Antarct. Alp. Res., 41, 309–316,
2009.</mixed-citation></ref>
      <ref id="bib1.bib33"><label>33</label><mixed-citation>
Jones, M. C. and Yu, Z.: Rapid deglacial and early Holocene expansion of
peatlands in Alaska, P. Natl. Acad. Sci. USA, 107, 7347–7532, 2010.</mixed-citation></ref>
      <ref id="bib1.bib34"><label>34</label><mixed-citation>Lynch, J. A., Clark, J. S., and Stocks, B. J.: Charcoal production, dispersal
and deposition from the Fort Providence experimental fire: interpreting fire
regimes from charcoal records in boreal forests, Can. J. Forest Res., 34,
1642–1656, <ext-link xlink:href="http://dx.doi.org/10.1139/X04-071" ext-link-type="DOI">10.1139/X04-071</ext-link>, 2004.</mixed-citation></ref>
      <ref id="bib1.bib35"><label>35</label><mixed-citation>Mack, M. C., Bret-Harte, M. S., Hollingsworth, T. N., Jandt, R. R., Schuur,
E. A. G , Shaver, G. R., and Verbyla, D. L.: Carbon loss from an unprecedented
Arctic tundra wildfire, Nature, 475, 489–492, <ext-link xlink:href="http://dx.doi.org/10.1038/nature10283" ext-link-type="DOI">10.1038/nature10283</ext-link>,
2011.</mixed-citation></ref>
      <ref id="bib1.bib36"><label>36</label><mixed-citation>Marlon, J. R., Bartlein, P. J., Gavin, D. G., Long, C. J., Anderson, R. S.,
Briles, C. E., Brown, K. J., Colonbaroli, D., Hallett, D. J., Power, M. J.,
Schaar, E. A., and Walsh, M. K.: Long-term perspective on wildfires in the
western USA, P. Natl. Acad. Sci. USA, 109, E535–E543, <ext-link xlink:href="http://dx.doi.org/10.1073/pnas.1112839109" ext-link-type="DOI">10.1073/pnas.1112839109</ext-link>, 2012.</mixed-citation></ref>
      <ref id="bib1.bib37"><label>37</label><mixed-citation>MCAgeDepth program, <uri>https://code.google.com/p/mcagedepth/</uri>, last access: 11
May 2009.</mixed-citation></ref>
      <ref id="bib1.bib38"><label>38</label><mixed-citation>NALCMS – North American Land Change Monitoring System,
<uri>http://www.cec.org/Page.asp? PageID=122&amp;ContentID=2819</uri>, last access:
22 November 2011, 2005.</mixed-citation></ref>
      <ref id="bib1.bib39"><label>39</label><mixed-citation>NLDC – National Land Cover Database, <uri>http://www.mrlc.gov/nlcd2006.php</uri>, last
access: 13 April 2008, 2006.</mixed-citation></ref>
      <ref id="bib1.bib40"><label>40</label><mixed-citation>
Nowacki, G., Spencer, P., Fleming, M., Brock, T., and Jorgenson, T.:
Ecoregions of Alaska and Neighboring Territory, U.S. Geological Survey,
Reston, VA, Open-File Rep. 02-297 (map), 2001.</mixed-citation></ref>
      <ref id="bib1.bib41"><label>41</label><mixed-citation>
Oswald, W. W., Brubaker, L. B., Hu, F. S., and Kling, G. W.: Holocene pollen
records from the central Arctic foothills of northern Alaska: testing the
role of substrate in the response of tundra to climate change, J. Ecol., 91,
1034–1048, 2003.</mixed-citation></ref>
      <ref id="bib1.bib42"><label>42</label><mixed-citation>
Oswald, W. W., Anderson, P. M., Brown, T. A., Brubaker, L. B., Hu, F. S.,
Lozhikin, A. V., Tinner, W., and Kaltenrieder, P.: Effects of sample mass and
macrofossil type on radiocarbon dating of arctic and boreal lake sediments,
Holocene, 15, 758–767, 2005.</mixed-citation></ref>
      <ref id="bib1.bib43"><label>43</label><mixed-citation>
Oswald, W. W., Brubaker, L. B., Hu, F. S., and Kling, G. W.: Late-Quaternary
environmental and ecological history of the Arctic Foothills, northern
Alaska, in: Alaska's Changing Arctic, Oxford University Press, New York, NY,
81–89, 2014.</mixed-citation></ref>
      <ref id="bib1.bib44"><label>44</label><mixed-citation>PRISM Climate Group: Oregon State University,
<uri>http://prism.oregonstate.edu</uri>, last access: 8 May 2012.</mixed-citation></ref>
      <ref id="bib1.bib45"><label>45</label><mixed-citation>
Reimer, P. J., Baillie, M. G. L, Bard, E., Bayliss, A., Beck, J. W., Blackwell,
P. G., Bronk Ramsey, C., Buck, C. E., Burr, G. S., Edwards, R. L., Friedrich,
M., Grootes, P. M., Guilderson, T. P., Hajdas, I., Heaton, T. J., Hogg, A. G.,
Hughen, K. A., Kaiser, K. F., Kromer, B., McCormac, G., Manning, S., Reimer,
R. W., Richards, D. A., Southon, J. R., Talamo, S., Turney, C. S. M., van der
Plicht, J., and Weyhenmeyer, C. E.: IntCal09 and Marine09 radiocarbon age
calibration curves, 0–50,000 years cal BP, Radiocarbon, 51, 1111–1150,
2009.</mixed-citation></ref>
      <ref id="bib1.bib46"><label>46</label><mixed-citation>
Rocha, A. V. and Shaver, G. R.: Postfire energy exchange in arctic tundra: the
importance and climatic implications of burn severity, Glob. Change Biol.,
17, 2831–2841, 2011.</mixed-citation></ref>
      <ref id="bib1.bib47"><label>47</label><mixed-citation>Rocha, A. V., Loranty, M. M., Higuera, P. E., Mack, M. C., Hu, F. S., Jones,
B. M., Breen, A. L., Rastetter, E. B., Goetz, S. J., and Shaver, G. R.: The
footprint of Alaskan tundra fires during the past half-century: implications
for surface properties and radiative forcing, Environ. Res. Lett., 7,
044039, <ext-link xlink:href="http://dx.doi.org/10.1088/1748-9326/7/4/044039" ext-link-type="DOI">10.1088/1748-9326/7/4/044039</ext-link>, 2012.</mixed-citation></ref>
      <ref id="bib1.bib48"><label>48</label><mixed-citation>
Schuur, E. A. G., Bockheim, J., Canadell, J. G., Euskirchen, E., Field, C. B.,
Goryachkin, S. V., Hagemann, S., Kuhry, P., Lafleur, P. M., Lee, H.,
Mazhitova, G., Nelson, F. E., Rinke, A., Romanovsky, V. E., Shiklomanov, N.,
Tarnocai, C., Venevsky, S., Vogel, J. G., and Zimov, S. A.: Vulnerability of
permafrost carbon to climate change: implications for the global carbon
cycle, Bioscience, 58, 701–714, 2008.</mixed-citation></ref>
      <ref id="bib1.bib49"><label>49</label><mixed-citation>SNAP – Scenarios Network for Alaska and Arctic Planning, University of
Alaska, <uri>https://www.snap.uaf.edu/tools/data-downloads</uri>, last access: 11 May
2014.</mixed-citation></ref>
      <ref id="bib1.bib50"><label>50</label><mixed-citation>Stuiver, M. and Reimer, P.J.: Extended <inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mn>14</mml:mn></mml:msup></mml:math></inline-formula>C database and revised CALIB
radiocarbon calibration program, Radiocarbon, 35, 215–230, 1993.</mixed-citation></ref>
      <ref id="bib1.bib51"><label>51</label><mixed-citation>
Tinner, W., Hu, F. S., Beer, R., Kaltenrieder, P., Scheurer, B., and
Krähenbühl, U.: Postglacial vegetational and fire history: pollen,
plant macrofossil and charcoal records from two Alaskan lakes, Veg. Hist.
Archaeobot., 15, 279–293, 2006.</mixed-citation></ref>
      <ref id="bib1.bib52"><label>52</label><mixed-citation>
Walker, D. A., Raynolds, M. K., Daniëls, F. J. A., Einarsson, E.,
Elvebakk, A., Gould, W. A., Katenin, A. E., Kholod, S. S., Markon, C. J.,
Melnikov, E. S., Moskalenko, N. G., Talbot, S. S., Yurtsev, B. A., Bliss, L.
C., Edlund, S. A., Zoltai, S. C., Bay, C., Wilhelm, M., Gundjónsson. G.,
Johansen, B. E., Ananjeva, G. V., Drozdov, D. S., Konchenko, L. A.,
Korostelev, Y. V., Polezhaev, A. N., Ponomareva, O. E., Pospelova, E. B.,
Safronova, I. N., Shelkunova, R. P, Fleming, M. D., and Murray, D. F.: The
circumpolar Arctic vegetation map, J. Veg. Sci., 16, 267–282, 2005.</mixed-citation></ref>
      <ref id="bib1.bib53"><label>53</label><mixed-citation>
Whitlock, C., Bianchi, M. M., Bartlein, P. J., Markgraf, V., Marlon, J.,
Walsh, M., and McCoy, N.: Postglacial vegetation, climate, and fire history
along the east side of the Andes (lat 41–42.5 degrees S), Argentina,
Quaternary Res., 66, 187–201, 2006.</mixed-citation></ref>
      <ref id="bib1.bib54"><label>54</label><mixed-citation>Whitlock, C., Higuera, P. E., McWethy, D. B., and Briles, C. E.: Paleoecological
perspectives in fire ecology: Revisiting the fire-regime concept, Open
Ecology J., 3, 6–23, 2010.
 </mixed-citation></ref><?xmltex \hack{\newpage}?>
      <ref id="bib1.bib55"><label>55</label><mixed-citation>
Wright, H. E., Mann, D. H., and Glaser, P. H.: Piston cores for peat and lake
sediments, Ecology, 65, 567-659, 1984.</mixed-citation></ref>
      <ref id="bib1.bib56"><label>56</label><mixed-citation>
Young, A., Higuera, P. E., Duy, P., and Hu, F. S.: Fire regime responses to
climate and vegetation in Alaskan boreal–forest and tundra ecosystems:
using the historic record to predict the 21st century, in: Ecological
Society of America 98th Annual Meeting, Minneapolis, MN, 04–09 August 2013,
COS 122-7, 2013.</mixed-citation></ref>

  </ref-list><app-group content-type="float"><app><title/>

    </app></app-group></back>
    </article>
