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  <front>
    <journal-meta>
      <journal-id journal-id-type="publisher-id">geosciences</journal-id>
      <journal-title>Geosciences</journal-title>
      <abbrev-journal-title abbrev-type="publisher">Geosciences</abbrev-journal-title>
      <abbrev-journal-title abbrev-type="pubmed">Geosciences</abbrev-journal-title>
      <issn pub-type="epub">2076-3263</issn>
      <publisher>
        <publisher-name>MDPI</publisher-name>
      </publisher>
    </journal-meta>
    <article-meta>
      <article-id pub-id-type="doi">10.3390/geosciences6030037</article-id>
      <article-id pub-id-type="publisher-id">geosciences-06-00037</article-id>
      <article-categories>
        <subj-group>
          <subject>Review</subject>
        </subj-group>
      </article-categories>
      <title-group>
        <article-title>Climate Change and Future Fire Regimes: Examples from California</article-title>
      </title-group>
      <contrib-group>
        <contrib contrib-type="author">
          <name>
            <surname>Keeley</surname>
            <given-names>Jon E.</given-names>
          </name>
          <xref rid="af1-geosciences-06-00037" ref-type="aff">1</xref>
          <xref rid="af2-geosciences-06-00037" ref-type="aff">2</xref>
          <xref rid="c1-geosciences-06-00037" ref-type="corresp">*</xref>
        </contrib>
        <contrib contrib-type="author">
          <name>
            <surname>Syphard</surname>
            <given-names>Alexandra D.</given-names>
          </name>
          <xref rid="af3-geosciences-06-00037" ref-type="aff">3</xref>
        </contrib>
        <contrib contrib-type="editor">
          <name>
            <surname>Krakauer</surname>
            <given-names>Nir Y.</given-names>
          </name>
          <role>Academic Editor</role>
        </contrib>
      </contrib-group>
      <aff id="af1-geosciences-06-00037"><label>1</label>Sequoia&#x2013;Kings Canyon Field Station, Western Ecological Research Center, U.S. Geological Survey, 47050 Generals Highway, Three Rivers, CA 93271, USA</aff>
      <aff id="af2-geosciences-06-00037"><label>2</label>Department of Ecology and Evolutionary Biology, University of California, Los Angeles, CA 90095, USA</aff>
      <aff id="af3-geosciences-06-00037"><label>3</label>Conservation Biology Institute, 10423 Sierra Vista Avenue, La Mesa, CA 91941, USA; <email>asyphard@consbio.org</email></aff>
      <author-notes>
        <corresp id="c1-geosciences-06-00037"><label>*</label>Correspondence: <email>jon_keeley@usgs.gov</email> or <email>jkeeley@g.ucla.edu</email>; Tel.: +1-559-565-3170; Fax: +1-559-565-3177</corresp>
      </author-notes>
      <pub-date pub-type="epub">
        <day>17</day>
        <month>08</month>
        <year>2016</year>
      </pub-date>
      <pub-date pub-type="collection">
        <month>09</month>
        <year>2016</year>
      </pub-date>
      <volume>6</volume>
      <issue>3</issue>
      <elocation-id>37</elocation-id>
      <history>
        <date date-type="received">
          <day>17</day>
          <month>06</month>
          <year>2016</year>
        </date>
        <date date-type="accepted">
          <day>12</day>
          <month>08</month>
          <year>2016</year>
        </date>
      </history>
      <permissions>
        <copyright-statement>&#xA9; 2016 by the authors; licensee MDPI, Basel, Switzerland.</copyright-statement>
        <copyright-year>2016</copyright-year>
        <license>
          <p>This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC-BY) license (http://creativecommons.org/licenses/by/4.0/).</p>
        </license>
      </permissions>
      <abstract>
        <p>Climate and weather have long been noted as playing key roles in wildfire activity, and global warming is expected to exacerbate fire impacts on natural and urban ecosystems. Predicting future fire regimes requires an understanding of how temperature and precipitation interact to control fire activity. Inevitably this requires historical analyses that relate annual burning to climate variation. Fuel structure plays a critical role in determining which climatic parameters are most influential on fire activity, and here, by focusing on the diversity of ecosystems in California, we illustrate some principles that need to be recognized in predicting future fire regimes. Spatial scale of analysis is important in that large heterogeneous landscapes may not fully capture accurate relationships between climate and fires. Within climatically homogeneous subregions, montane forested landscapes show strong relationships between annual fluctuations in temperature and precipitation with area burned; however, this is strongly seasonal dependent; e.g., winter temperatures have very little or no effect but spring and summer temperatures are critical. Climate models that predict future seasonal temperature changes are needed to improve fire regime projections. Climate does not appear to be a major determinant of fire activity on all landscapes. Lower elevations and lower latitudes show little or no increase in fire activity with hotter and drier conditions. On these landscapes climate is not usually limiting to fires but these vegetation types are ignition-limited. Moreover, because they are closely juxtaposed with human habitations, fire regimes are more strongly controlled by other direct anthropogenic impacts. Predicting future fire regimes is not rocket science; it is far more complicated than that. Climate change is not relevant to some landscapes, but where climate is relevant, the relationship will change due to direct climate effects on vegetation trajectories, as well as by feedback processes of fire effects on vegetation distribution, plus policy changes in how we manage ecosystems.</p>
      </abstract>
      <kwd-group>
        <kwd>drought</kwd>
        <kwd>forest change</kwd>
        <kwd>fuel moisture</kwd>
        <kwd>global warming</kwd>
        <kwd>management</kwd>
        <kwd>novel ecosystems</kwd>
        <kwd>snowpack</kwd>
      </kwd-group>
    </article-meta>
  </front>
  <body>
    <sec id="sec1-geosciences-06-00037" sec-type="intro">
      <title>1. Introduction</title>
      <p>Wildfires are globally widespread and affect both ecosystem processes and distribution patterns of flora and fauna [<xref ref-type="bibr" rid="B1-geosciences-06-00037">1</xref>,<xref ref-type="bibr" rid="B2-geosciences-06-00037">2</xref>,<xref ref-type="bibr" rid="B3-geosciences-06-00037">3</xref>]. Investigators have characterized burning in different ways. Here we use the term fire activity to refer to the extent of burning, necessitated by the fact that some investigators report area burned [<xref ref-type="bibr" rid="B4-geosciences-06-00037">4</xref>], others report number of fires &gt;200 ha [<xref ref-type="bibr" rid="B5-geosciences-06-00037">5</xref>], or &gt;400 ha [<xref ref-type="bibr" rid="B6-geosciences-06-00037">6</xref>], or &gt;5000 ha [<xref ref-type="bibr" rid="B7-geosciences-06-00037">7</xref>], the latter three apparently as surrogates for area burned; though in California number of fires &gt;400 ha is only moderately correlated with annual area burned (<italic>r</italic><sup>2</sup> = 0.44, <italic>p</italic> &lt; 0.001 for the years 1963&#x2013;2013, [<xref ref-type="bibr" rid="B8-geosciences-06-00037">8</xref>]). Although these studies demonstrate that the determinants of fire activity are multi-factorial, climate has long been considered to play a key role [<xref ref-type="bibr" rid="B9-geosciences-06-00037">9</xref>].</p>
      <p>Since at least the beginning of the Holocene there has been documentation of a significant link between fires and climate [<xref ref-type="bibr" rid="B10-geosciences-06-00037">10</xref>], and drought has typically been associated with years having anomalously high area burned [<xref ref-type="bibr" rid="B11-geosciences-06-00037">11</xref>,<xref ref-type="bibr" rid="B12-geosciences-06-00037">12</xref>,<xref ref-type="bibr" rid="B13-geosciences-06-00037">13</xref>,<xref ref-type="bibr" rid="B14-geosciences-06-00037">14</xref>]. One of the earliest papers implicating potential global warming impacts on wildfires was the demonstration by Westerling et al. [<xref ref-type="bibr" rid="B6-geosciences-06-00037">6</xref>] that, since 1980, the number of moderate to large forest fires has increased in western US forests and is correlated with years having earlier snow melt, and by implication higher spring temperatures (see [<xref ref-type="bibr" rid="B5-geosciences-06-00037">5</xref>] for a somewhat expanded version). This association between high temperatures in certain seasons and extent of burning has been borne out by other historical studies in western US forests [<xref ref-type="bibr" rid="B4-geosciences-06-00037">4</xref>,<xref ref-type="bibr" rid="B15-geosciences-06-00037">15</xref>,<xref ref-type="bibr" rid="B16-geosciences-06-00037">16</xref>,<xref ref-type="bibr" rid="B17-geosciences-06-00037">17</xref>].</p>
      <p>Beyond the direct effect of weather (primarily winds) during a fire event, climate primarily affects fires in two ways. Warm, dry weather during the months immediately preceding the fire season reduces <italic>moisture</italic> <italic>content</italic> of both live and dead fuels, increasing the likelihood of ignition and spread of fires. In contrast, high precipitation a year or two prior will increase the <italic>volume</italic> of herbaceous fuels, which later increases the probability of ignitions and fire spread [<xref ref-type="bibr" rid="B18-geosciences-06-00037">18</xref>]. Climate impacts on fuel moisture vs. fuel volume are of varying importance in different vegetation types.</p>
      <p>For example, both closed canopy mixed conifer forests and ponderosa forests in the Sierra Nevada of California have high fire activity in drought years (<xref ref-type="fig" rid="geosciences-06-00037-f001">Figure 1</xref>), indicating both fuel types respond to low fuel moisture. However, the prior year&#x2019;s precipitation has no relationship with fires in the mixed conifer forests, where fire spread is dependent on litter. On the other hand, prior year&#x2019;s precipitation is strongly correlated with fires in the more open ponderosa forests, where fire spread is dependent on dried herbaceous fuels that increase in volume during years of high rainfall. Not surprisingly, this effect of prior rainfall is generally only observed in vegetation types where fire spread is dependent on herbaceous fuels, primarily grasslands and savannas. Sometimes this effect is evident in shrublands that burn as active crown fires (i.e., fire is not spread by surface fuels), because on such landscapes fires ignite in associated herbaceous vegetation, which acts as a wick that spreads fire into dense shrublands. This relationship with prior-year rainfall is also seen in desert ecosystems where non-native grasses are now contributing to fire spread and increased occurrence of large fires [<xref ref-type="bibr" rid="B19-geosciences-06-00037">19</xref>], and in Sierra Nevada woodlands and savannas [<xref ref-type="bibr" rid="B4-geosciences-06-00037">4</xref>].</p>
      <p>Temperature effects on fuel moisture act by reducing moisture of live and dead fuels. Westerling et al. [<xref ref-type="bibr" rid="B6-geosciences-06-00037">6</xref>] hypothesized that high spring temperatures contributed to a more rapid melting of the snowpack, causing a longer season of drier soil conditions. Drier soils limit water uptake and thus reduce live fuel moisture, but it is not clear how drier soils per se would impact dead fuel moisture. However, higher temperatures during spring and summer, although correlated with early snow melt, will reduce moisture of both live fuels and dead surface fuels by increasing evaporative demands during the dry season. Distinguishing between these two processes is difficult with the Westerling study [<xref ref-type="bibr" rid="B6-geosciences-06-00037">6</xref>] as it reports only the timing of peak river flow in associated watersheds as a surrogate for snowpack melt-off date, and by implication spring temperature. Littell et al. [<xref ref-type="bibr" rid="B15-geosciences-06-00037">15</xref>] concluded that snowpack melt-off was important as they found a negative relationship between winter precipitation and fire activity in the Sierra Nevada and Rocky Mountains. However, Medler et al. [<xref ref-type="bibr" rid="B20-geosciences-06-00037">20</xref>] measured areal and temporal extent of snow cover in the western US and found no relationship with area burned. Keeley and Syphard [<xref ref-type="bibr" rid="B4-geosciences-06-00037">4</xref>] found a negative correlation between spring snowpack depth and area burned in Sierra Nevada forests, but doubted there was a causal relationship since the climate variables most strongly tied to snowpack melt-off were not parameters most strongly affecting area burned. They hypothesized that although high spring temperatures did result in early melt of the snowpack, fires were more strongly controlled by direct effects of spring and summer temperatures on live and dead fuel moisture. Likewise, Abatzoglou and Kolden [<xref ref-type="bibr" rid="B16-geosciences-06-00037">16</xref>] found that although early snow melt-off did correlate with higher early season fire activity, it was only weakly associated with annual area burned and suggested that temperature and precipitation within the fire season were more important determinants of area burned in western US forests.</p>
      <p>In summary, high temperatures and drought have substantial impacts on the extent of burning in the western US, and elsewhere in the world [<xref ref-type="bibr" rid="B21-geosciences-06-00037">21</xref>,<xref ref-type="bibr" rid="B22-geosciences-06-00037">22</xref>]. There is general agreement that climate operates through effects on fuel moisture and fuel volume, and the relative importance of each varies with vegetation type. It is now widely recognized that the relationship between climate and fire activity has important implications for future climate change impacts on fire regimes. Fire response to climatic variation is shown to be correlated at some level to global circulation patterns such as the Pacific Decadal Oscillation or El Nino-Southern Oscillation [<xref ref-type="bibr" rid="B19-geosciences-06-00037">19</xref>,<xref ref-type="bibr" rid="B23-geosciences-06-00037">23</xref>]. However, here we focus on more direct and local climate drivers of fire activity.</p>
    </sec>
    <sec id="sec2-geosciences-06-00037">
      <title>2. Fire and Global Warming</title>
      <p>Global warming is clearly projected by countless climate-modeling studies that support a strong relationship between a largely anthropogenically caused rise in atmospheric CO<sub>2</sub> and annual global temperatures. Although the rate of future temperature rise will depend on lifestyle decisions, there is a consensus that annual temperatures will increase by 3&#x2013;6 &#xB0;C in the 21st century [<xref ref-type="bibr" rid="B24-geosciences-06-00037">24</xref>] and will not be easily reversible [<xref ref-type="bibr" rid="B25-geosciences-06-00037">25</xref>].</p>
      <p>What does this mean in terms of future fire regimes? Modeling results generally predict increased fire frequency and fire severity for much of the globe [<xref ref-type="bibr" rid="B26-geosciences-06-00037">26</xref>,<xref ref-type="bibr" rid="B27-geosciences-06-00037">27</xref>,<xref ref-type="bibr" rid="B28-geosciences-06-00037">28</xref>,<xref ref-type="bibr" rid="B29-geosciences-06-00037">29</xref>]; however, these projections need to be viewed with caution as they are based on rather uncertain and spatially variable relationships between temperature and fire activity, and comprise ecosystems with very different fuel structures. In general, models that predict future fire regimes depend on relationships between annual temperature and fire activity that are based on historical studies correlating annual climate variation with fire activity, and often at very different spatial scales. In addition, in order to model future regimes certain simplifying assumptions are needed, such as fires are not limited by ignitions [<xref ref-type="bibr" rid="B30-geosciences-06-00037">30</xref>], a position that a number of fire scientists find unacceptable [<xref ref-type="bibr" rid="B31-geosciences-06-00037">31</xref>,<xref ref-type="bibr" rid="B32-geosciences-06-00037">32</xref>].</p>
      <p>Historical studies of annual variation in climate and fire have revealed several important points that need to be understood in future modeling efforts. One is that the scale of focus has profound impacts on recognizing which climate parameters are most critical to fire activity. Even for a single region such as California, the resulting relations between climate and fire are rather different dependent on the size of the subregion under consideration (<xref ref-type="table" rid="geosciences-06-00037-t001">Table 1</xref>).</p>
      <p>Secondly, climate models focus on annual temperature change, yet annual variation in area burned is not strongly tied to average annual temperature, but rather to temperatures in particular seasons [<xref ref-type="bibr" rid="B4-geosciences-06-00037">4</xref>,<xref ref-type="bibr" rid="B15-geosciences-06-00037">15</xref>,<xref ref-type="bibr" rid="B16-geosciences-06-00037">16</xref>]. Understanding how this seasonal relationship plays out relative to future climate models is important to future forecasts of fire regimes.</p>
      <p>Thirdly, there is an implicit assumption in these analyses that there is a climate signal correlated with annual fire activity on all fire-prone landscapes, yet some fail to show a significant fire-climate relationship (<xref ref-type="table" rid="geosciences-06-00037-t001">Table 1</xref>), and likely are controlled by more direct anthropogenic impacts such as ignition patterns.</p>
      <p>Broad regional scale analyses of fire and climate relationships for the western US are widely reported; however, because climates vary remarkably across this landscape it is difficult with this broad brush approach to sort out spatial from temporal variation. For example, considering all western US forests collectively, as the year-to-year temperature anomalies (i.e., the difference from the long-term average) during spring and summer increases, the number of fires over 200 ha increases [<xref ref-type="bibr" rid="B17-geosciences-06-00037">17</xref>]. It is tempting to interpret this pattern as reflecting temporal patterns of temperature anomalies and their effect on fire activity. However, analyses over such broad regions often reflect as much spatial variation in climate as temporal changes. Failing to differentiate between temporal and spatial variation can have profound effects on the resulting climate model for fire activity.</p>
      <p>Using California as an example, consider US Forest Service (USFS) lands, which cover an extensive latitudinal range. Here temperatures are inversely correlated with latitude; <italic>r</italic><sup>2</sup> = 0.68, 0.59, 0.69, 0.73, <italic>p</italic> &lt; 0.001, for winter, spring, summer and autumn, respectively, on USFS lands in California [<xref ref-type="bibr" rid="B8-geosciences-06-00037">8</xref>]. In addition, annual area burned is inversely correlated with latitude; <italic>r</italic><sup>2</sup> = 0.15, <italic>p</italic> &lt; 0.001. Thus, before investigating temporal patterns of how fire activity varies with climate, we need to appreciate there is significant spatial variation as well as temporal variation. In our studies of fire-climate relationships in California we have investigated these relationships within climatically homogeneous divisions as defined by NOAA [<xref ref-type="bibr" rid="B33-geosciences-06-00037">33</xref>], focusing on the main fire-prone landscapes in the state. At this scale we find that fire-climate relationships are remarkably different from one climate division to another. For example, a 104 years of records reveal highly significant correlations between temperature and area burned in the Sierra Nevada (<xref ref-type="fig" rid="geosciences-06-00037-f002">Figure 2</xref>a), but not in the southern part of the state (<xref ref-type="fig" rid="geosciences-06-00037-f002">Figure 2</xref>b). In addition, where there are significant relationships (<xref ref-type="fig" rid="geosciences-06-00037-f002">Figure 2</xref>a), winter and autumn temperatures are not associated with annual area burned, whereas spring and summer temperatures are.</p>
      <p>Clearly spatial scale will greatly alter our choice of the best model for predicting future fire regimes under a changing climate. This in part accounts for the differing models in <xref ref-type="table" rid="geosciences-06-00037-t001">Table 1</xref>. Abatzoglou and Kolden [<xref ref-type="bibr" rid="B16-geosciences-06-00037">16</xref>] used large management units that cut across different climate regimes in California; for example, their region SO comprised such a large area that it included both the NOAA climate divisions of the Sierra Nevada and South Coast (<xref ref-type="table" rid="geosciences-06-00037-t001">Table 1</xref>), as well as the Central Coast, regions that have very different fire-climate relationships (<xref ref-type="fig" rid="geosciences-06-00037-f002">Figure 2</xref>, <xref ref-type="table" rid="geosciences-06-00037-t001">Table 1</xref>). It is important if we are to make sound predictions about how global warming will impact fire regimes we work within climatically similar regions, e.g., the NOAA divisions shown in <xref ref-type="table" rid="geosciences-06-00037-t001">Table 1</xref> as well as within similar vegetation types [<xref ref-type="bibr" rid="B4-geosciences-06-00037">4</xref>]. Indeed, Abatzolou et al. [<xref ref-type="bibr" rid="B34-geosciences-06-00037">34</xref>] contended that even a finer scale spatial resolution is needed to capture regional climate modes due to orgographic and coastal effects. There might also be a need for even finer spatial scales as mountainous landscape climates vary from one watershed to another; however, at some point this becomes counterproductive since large fires burn across broad landscapes with variable climates. In addition, we may be better served by focusing on more direct biophysical parameters such as evapotranspiration rather than temperature and precipitation as demonstrated by Abatzoglou and Kolden [<xref ref-type="bibr" rid="B16-geosciences-06-00037">16</xref>].</p>
      <p>Spatial scale is also critically important in terms of making future fire regime projections. Indeed, in central California it appears the Sierra Nevada temperature change has been relatively unremarkable over the past century in comparison to the Central Valley [<xref ref-type="bibr" rid="B35-geosciences-06-00037">35</xref>]. Using broad regional fire-climate patterns [<xref ref-type="bibr" rid="B5-geosciences-06-00037">5</xref>,<xref ref-type="bibr" rid="B26-geosciences-06-00037">26</xref>], when it is apparent that there is marked sub-regional variation (e.g., <xref ref-type="fig" rid="geosciences-06-00037-f002">Figure 2</xref>), may not lead to productive predictions. </p>
      <p>These data support the following points: First, increasing annual temperatures in and of themselves do not predict higher fire activity, rather the effect is highly dependent on season, primarily spring and summer temperatures (<xref ref-type="fig" rid="geosciences-06-00037-f002">Figure 2</xref>a). Secondly, it is important to focus climate-fire analyses on climatically homogeneous divisions and preferably separating montane forests from foothill savannas and shrublands, in large part because these generally have very different fuel structures that respond to different climate signals. Thirdly, not all parts of the landscape are equally sensitive to climate change. In the southern part of the state (<xref ref-type="fig" rid="geosciences-06-00037-f002">Figure 2</xref>b), and in lower elevations (Cal Fire lands) of the Sierra Nevada [<xref ref-type="bibr" rid="B4-geosciences-06-00037">4</xref>] higher temperatures in any season are not reflected in greater fire activity. In other words, fire activity is apparently not strongly climate-limited. This is consistent with the conclusion that climate plays a larger role in dictating fire regimes in mesic than arid environments [<xref ref-type="bibr" rid="B36-geosciences-06-00037">36</xref>,<xref ref-type="bibr" rid="B37-geosciences-06-00037">37</xref>]. On these landscapes climatic conditions are suitable most years for massive wildfires (e.g., the coolest summer temperatures in the South Coast region (<xref ref-type="fig" rid="geosciences-06-00037-f002">Figure 2</xref>b) are higher than the highest temperatures in the Sierra Neavada subregion (<xref ref-type="fig" rid="geosciences-06-00037-f002">Figure 2</xref>a), so that other direct anthropogenic impacts may play a larger role; in other words, fire activity appears to be ignition-limited [<xref ref-type="bibr" rid="B38-geosciences-06-00037">38</xref>], which calls into question premises behind some modeling exercises. These nuances in fire-climate relationships are particularly important to consider because broad brush approaches to future fire regimes sometimes predict extraordinary increases in fire activity, e.g., [<xref ref-type="bibr" rid="B28-geosciences-06-00037">28</xref>], that may not be realistic.</p>
    </sec>
    <sec id="sec3-geosciences-06-00037">
      <title>3. Fire and Drought</title>
      <p>Drought plays a key role in driving fire regimes and annual precipitation is a primary driver of drought variability [<xref ref-type="bibr" rid="B39-geosciences-06-00037">39</xref>]. In some parts of the western USA droughts have become more intense in recent decades, particularly so in southern California (<xref ref-type="fig" rid="geosciences-06-00037-f003">Figure 3</xref>), though it is unclear if this is a trajectory for future drought. Future climate change projections of precipitation range between a 5% increase or decrease in precipitation by 2060 in California [<xref ref-type="bibr" rid="B40-geosciences-06-00037">40</xref>,<xref ref-type="bibr" rid="B41-geosciences-06-00037">41</xref>].</p>
      <p>At present it is hard to distinguish current droughts from natural drought cycles, which complicates parsing out the influence of anthropogenic climate change [<xref ref-type="bibr" rid="B42-geosciences-06-00037">42</xref>]. Although natural drought cycles may dominate the current picture, it appears that anthropogenic-caused global warming is exacerbating the effects of drought; it is estimated to have contributed 5%&#x2013;18% to the severity of one of the worst recent droughts in 20th-century California history [<xref ref-type="bibr" rid="B39-geosciences-06-00037">39</xref>]. This recent drought has been associated with severe die-off of <italic>Pinus ponderosa</italic> in mid-elevations of the Sierra Nevada (<xref ref-type="fig" rid="geosciences-06-00037-f004">Figure 4</xref>). While we might expect future droughts on average to be more intense, it is open to debate as to whether or not droughts in the future will be worse than our worst droughts in the past.</p>
      <p>It is unclear to what extent droughts, which may not be the result of anthropogenic warming, may have contributed to increased temperatures in recent decades. Droughts are associated with decreased cloud cover, which contributes to elevated temperatures [<xref ref-type="bibr" rid="B43-geosciences-06-00037">43</xref>]. This is not a recent global warming phenomenon as in California over the past 100 years there has been a negative relationship between spring temperatures and spring precipitation (<italic>r</italic><sup>2</sup> = 0.28, <italic>p</italic> &lt; 0.001) [<xref ref-type="bibr" rid="B8-geosciences-06-00037">8</xref>]. Thus, a recent trajectory of increased temperature may not be solely led by anthropogenically driven warming. This of course is not meant to downplay the importance of global warming, only to illustrate one more complexity in determining the appropriate fire-climate model for any given region (e.g., <xref ref-type="table" rid="geosciences-06-00037-t001">Table 1</xref>).</p>
      <p>Another consideration is that, even if precipitation does not decline in the future, increased temperatures may exacerbate water deficit, and thus evaporative demand and plant water stress, which has been linked to forest mortality [<xref ref-type="bibr" rid="B44-geosciences-06-00037">44</xref>,<xref ref-type="bibr" rid="B45-geosciences-06-00037">45</xref>], and thus altered fuel conditions, as well as possibly the impact of fire severity [<xref ref-type="bibr" rid="B46-geosciences-06-00037">46</xref>]. Potential evapotranspiration will likely play a significant role in modeling future drought impacts [<xref ref-type="bibr" rid="B47-geosciences-06-00037">47</xref>].</p>
    </sec>
    <sec id="sec4-geosciences-06-00037">
      <title>4. Fire&#x2013;Climate Interaction Is a Moving Target</title>
      <p>One of the complications in making forecasts of future fire regimes is that the nature of fire-climate relationships can change over time. Forests in both the Sierra Nevada of California [<xref ref-type="bibr" rid="B4-geosciences-06-00037">4</xref>] and the northern Rocky Mountains [<xref ref-type="bibr" rid="B48-geosciences-06-00037">48</xref>] have very strong fire-climate relationships that span the 20th and 21st centuries. Of particular interest is the fact that the climate parameters driving high fire activity in the early 20th century are not always those driving current fire activity. For example, in Sierra Nevada forests from 1910 to 1959 the strongest variable controlling area burned was spring precipitation followed by winter precipitation (<italic>r</italic><sup>2</sup> = 0.41, <italic>p &lt;</italic> 0.001) [<xref ref-type="bibr" rid="B4-geosciences-06-00037">4</xref>]. However, from 1960 to 2010, mean summer temperature was the strongest variable followed by spring precipitation (<italic>r</italic><sup>2</sup> = 0.53, <italic>p &lt;</italic> 0.001). Recently we expanded this analysis from 1960 to 2013 (to include the massive Rim Fire that burned into Yosemite National Park), subsequently predicting area burned by spring temperature followed by summer temperature (<italic>r</italic><sup>2</sup> = 0.52, <italic>p &lt;</italic> 0.001) [<xref ref-type="bibr" rid="B8-geosciences-06-00037">8</xref>]. </p>
      <p>Another way of looking at this is to examine decadal patterns of burning and the associated temperature and precipitation anomalies. On USFS lands in the Sierra Nevada there were peaks in fire activity in 1920 and in 2000 and the first half of the 2010 decade (<xref ref-type="fig" rid="geosciences-06-00037-f005">Figure 5</xref>a). While the recent peaks in fire activity are associated with positive anomalies in spring temperature, the 1920s peak was not (<xref ref-type="fig" rid="geosciences-06-00037-f005">Figure 5</xref>b). On the other hand, there was a deficit in precipitation for all peaks in fire activity (<xref ref-type="fig" rid="geosciences-06-00037-f005">Figure 5</xref>c).</p>
      <p>These patterns are consistent with global warming expectations, but it also raises the possibility that future fire-climate relationships may change as well. Models of future fire regimes based on past fire-climate relationships may have limited predictive capacity. Of course it is appreciated that model development has to start somewhere and thus rudimentary modeling efforts have value in the development of a sound modeling framework; however, at the present time, such models may not be ready for directing future management decisions on fire-prone landscapes.</p>
      <p>A further complication is that, while most predictions about future fire regimes are conditioned on relationships observed in the past, there will likely be novel combinations of temperature and precipitation, varying across different temporal and spatial scales, that have no analog in the past [<xref ref-type="bibr" rid="B49-geosciences-06-00037">49</xref>,<xref ref-type="bibr" rid="B50-geosciences-06-00037">50</xref>]. Predictions of climatic impacts to future fire regimes will need to account for these types of conditions that have no historical precedent. In addition, there is reason to believe that future impacts are dependent on the order, timing and magnitude of many contingencies [<xref ref-type="bibr" rid="B51-geosciences-06-00037">51</xref>]. This suggests that statistical models may be insufficient to guide future predictions and more mechanistic models will be required.</p>
    </sec>
    <sec id="sec5-geosciences-06-00037">
      <title>5. Confounding Factors Affecting Future Fire Regimes</title>
      <sec id="sec5dot1-geosciences-06-00037">
        <title>5.1. Interactions between Vegetation Trajectories and Fire Regime</title>
        <p>Illustrative of potential interactions between climate and fire are modeling results that show forest fire severity is likely to decrease in the future due to direct climate effects on vegetation change [<xref ref-type="bibr" rid="B52-geosciences-06-00037">52</xref>]. Models incorporate climate-induced changes in vegetation type, fuel load and fire frequency and suggest a potential reduction in fire severity. As climate changes, widespread vegetation change is likely to result both independently (e.g., [<xref ref-type="bibr" rid="B53-geosciences-06-00037">53</xref>,<xref ref-type="bibr" rid="B54-geosciences-06-00037">54</xref>]), and as a result of fire-climate interactions [<xref ref-type="bibr" rid="B55-geosciences-06-00037">55</xref>]. Regardless of the driving mechanism, large-scale vegetation changes will inevitably feed back to fire regimes in complex and potentially unpredictable ways [<xref ref-type="bibr" rid="B56-geosciences-06-00037">56</xref>]. For example, the relationship between fuel structure and climatic gradients in Mediterranean regions may be more important in driving fire activity than climate variability alone [<xref ref-type="bibr" rid="B36-geosciences-06-00037">36</xref>]. As fire is inherently fuel-modulated, both in terms of volume and moisture, shorter-term increases in fire activity may ultimately drive subsequent decreases in fire simply due to biomass consumption and alterations of fuel patterns. Models developed by Liu and Wimberly [<xref ref-type="bibr" rid="B29-geosciences-06-00037">29</xref>] predict that projected vegetation change in the western US will amplify climate-driven increases in fire frequency and area burned. As such, fire-climate relationships may become increasingly unpredictable as time passes, especially because these factors will also interact with other global change drivers [<xref ref-type="bibr" rid="B57-geosciences-06-00037">57</xref>].</p>
        <p>Some types of dynamic vegetation and fire simulation models may be useful in projecting a range of plausible future outcomes given different hypothetical interactions among fire, climate, and vegetation [<xref ref-type="bibr" rid="B58-geosciences-06-00037">58</xref>,<xref ref-type="bibr" rid="B59-geosciences-06-00037">59</xref>,<xref ref-type="bibr" rid="B60-geosciences-06-00037">60</xref>]. Because these models integrate empirically driven parameters and equations for mechanistic processes related to fire behavior, vegetation growth and distribution, ecosystem productivity, and climatic conditions, they may be capable of estimating potential futures based on simulated interactions among these factors, although the inherent stochasticity in these systems must be accounted for, as well as their scale of analysis.</p>
        <p>Further complicating predictions is that global warming is occurring along with other global changes that also affect plant growth; rising CO<sub>2</sub> concentration, N deposition and the interaction of all of these with pests and pathogens [<xref ref-type="bibr" rid="B61-geosciences-06-00037">61</xref>]. Plants shift their optimum temperature for photosynthesis in the presence of elevated CO<sub>2</sub>, which increases productivity. Elevated CO<sub>2</sub>, the root cause of global warming, also increases water use efficiency, thus increasing effective precipitation, potentially offsetting the effects of warming [<xref ref-type="bibr" rid="B36-geosciences-06-00037">36</xref>,<xref ref-type="bibr" rid="B62-geosciences-06-00037">62</xref>]. Nevertheless, the extent to which CO<sub>2</sub> fertilization will actually affect net primary productivity remains highly uncertain [<xref ref-type="bibr" rid="B63-geosciences-06-00037">63</xref>]. Understanding and incorporating these direct physiological effects will alter future predictions about vegetation shifts, and how this will play out in terms of future fire regimes.</p>
        <p>One important challenge to the predictive ability of models that forecast future vegetation shifts is the likelihood of ecosystem novelty, changes in species composition, nutrient cycling, and fire regimes, relative to the historical baseline [<xref ref-type="bibr" rid="B64-geosciences-06-00037">64</xref>,<xref ref-type="bibr" rid="B65-geosciences-06-00037">65</xref>].</p>
      </sec>
      <sec id="sec5dot2-geosciences-06-00037">
        <title>5.2. Population Growth and Future Fires</title>
        <p>In addition to changes in fuel volume and fuel condition, future fire regimes may also change in response to changes in ignitions, and potential increases in human ignitions will complicate parsing out the role of climate change [<xref ref-type="bibr" rid="B66-geosciences-06-00037">66</xref>]. Changes in human demography are likely to have huge impacts, not only on future fires but on their impacts to human welfare [<xref ref-type="bibr" rid="B63-geosciences-06-00037">63</xref>,<xref ref-type="bibr" rid="B67-geosciences-06-00037">67</xref>]. In recent years we have seen previously unknown levels of losses in property and lives due to wildfires in the Western US. Some of this has been attributed to climate change; however, one cannot ignore the important role of urban sprawl that has placed homes at risk by juxtaposing them with highly flammable watersheds [<xref ref-type="bibr" rid="B30-geosciences-06-00037">30</xref>,<xref ref-type="bibr" rid="B68-geosciences-06-00037">68</xref>,<xref ref-type="bibr" rid="B69-geosciences-06-00037">69</xref>,<xref ref-type="bibr" rid="B70-geosciences-06-00037">70</xref>]. In addition, expansion of the urban environment into wildland areas increases fire hazard because humans are a major source of fire ignitions.</p>
        <p>Throughout much of the western US, and southern California in particular, humans play a major role in the timing and spatial distribution of fire ignitions. In southern California, humans account for &gt;95% of all fires and, by the middle of the 21st century, it is expected that human populations will increase by 50% over current levels [<xref ref-type="bibr" rid="B31-geosciences-06-00037">31</xref>,<xref ref-type="bibr" rid="B38-geosciences-06-00037">38</xref>] This is of more concern when one recognizes that all previous predictions of future population size have undershot those increases substantially. In the southern part of the state, and at lower elevations throughout California, climate signals associated with high fire years are largely lacking (<xref ref-type="fig" rid="geosciences-06-00037-f002">Figure 2</xref>b), suggesting that more direct human impacts control annual fire activity. On these landscapes, the potential for a large fire year exists during most years (i.e., they are not climate-limited); catastrophic fires are ignition-limited, dependent largely on the timing and spatial distribution of anthropogenic ignitions [<xref ref-type="bibr" rid="B4-geosciences-06-00037">4</xref>,<xref ref-type="bibr" rid="B71-geosciences-06-00037">71</xref>].</p>
        <p>Not only do humans have the capacity to increase fires over natural levels, they have the capacity to change the timing of wildfires. For example, in southern California, the peak season for lightning-ignited fires is summer, whereas the worst fire weather is during the autumnal Santa Ana winds. Historically, much of this landscape likely burned when summer lightning ignitions carried over until the autumn winds, but today humans have almost certainly increased the frequency of such fire events by arsons intent on igniting fires during Santa Ana wind events. In addition, due to urban sprawl, population centers are spreading eastward, which means ignitions are more likely in the interior regions. Because the most extreme fire weather conditions are due to offshore winds, the further east the ignitions occur, the greater the potential for larger fires. Such impacts of human ignitions are already being experienced in other parts of the western US as well.</p>
      </sec>
      <sec id="sec5dot3-geosciences-06-00037">
        <title>5.3. Effects of Changing Management Tactics</title>
        <p>Fire management practices account for some unexplained variation in historical fire activity. Clearly fire suppression has reduced fires in western forests during the 20th century [<xref ref-type="bibr" rid="B72-geosciences-06-00037">72</xref>], and fuel accumulation from fire suppression has been invoked as a reason for increases in forest area burned in the last few decades [<xref ref-type="bibr" rid="B6-geosciences-06-00037">6</xref>,<xref ref-type="bibr" rid="B23-geosciences-06-00037">23</xref>,<xref ref-type="bibr" rid="B73-geosciences-06-00037">73</xref>]. Prescription burning not only can play an important role in preventing unwanted changes in fire regimes, but thinning the forest may become increasingly important as a means of reducing drought impacts on tree mortality [<xref ref-type="bibr" rid="B74-geosciences-06-00037">74</xref>].</p>
        <p>A confounding issue is a change in fire management tactics [<xref ref-type="bibr" rid="B75-geosciences-06-00037">75</xref>]. The late-20th century increase in fire activity observed on USFS lands across the western USA began at a time of change in USFS policy [<xref ref-type="bibr" rid="B76-geosciences-06-00037">76</xref>]. In the 1960s, it was gradually being accepted that there was a natural role for fire in western forests and in order to capitalize on this resource benefit from fire, the so-called &#x201C;10 am policy&#x201D; was replaced with a policy of &#x201C;constrain and contain.&#x201D; The former policy mandated aggressive action towards immediate suppression of all fires with the goal of having the fire extinguished by 10 am the following morning, but was replaced by a policy that allowed fires to burn larger areas, constrained within individual watersheds. Throughout the western USA, area burned has increased over the past several decades in most USFS forests and this may be in part due to policy change. This change in management also has been invoked to explain changes in fire activity in other parts of the world [<xref ref-type="bibr" rid="B77-geosciences-06-00037">77</xref>]. Consistent with this model is the fact that Cal Fire has retained the aggressive &#x201C;10 am policy&#x201D; to the present and has not experienced a 20th-century increase in fire activity on much of their state responsibility areas.</p>
      </sec>
    </sec>
    <sec id="sec6-geosciences-06-00037" sec-type="conclusions">
      <title>6. Conclusions</title>
      <p>Anyone who says they have a grasp on how climate change will impact future fire regimes possesses an impressive level of optimism. It is doubtful that anyone in the early 20th century could have predicted future fire regimes and the same applies to the early 21st century. We now have a much improved grasp on the relative importance of climate across different ecosystems. Montane forested ecosystems far removed from direct human impact have historically been affected by climate much more so than lower elevation non-forested ecosystems. However, projecting future fire regimes requires a focus on expected seasonal changes in temperature. Regional analyses of fire climate relationships potentially mix sub-regions with different climate drivers and this may produce misleading forecasts of future fire regimes. In contrast to montane landscapes, in lower elevations and lower latitudes, fires are not strongly climate-limited but are ignition-limited, and on these landscapes increased population growth may ultimately be a more important factor driving future fire regimes than climate.</p>
    </sec>
  </body>
  <back>
    <ack>
      <title>Acknowledgments</title>
      <p>We thank Michael Dettinger, Nathan Stephenson and David L. Peterson and three anonymous reviewers for critiquing an earlier version of this manuscript. Any use of trade, product, or firm names is for descriptive purposes only and does not imply endorsement by the US Government.</p>
    </ack>
    <notes>
      <title>Author Contributions</title>
      <p>Authors contributed to different sections of this manuscript.</p>
    </notes>
    <notes>
      <title>Conflicts of Interest</title>
      <p>The authors declare no conflict of interest.</p>
    </notes>
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      <title>Figures and Table</title>
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          <p><italic>y-</italic>axis is mean June-August Palmer Drought Severity Index (positive indicates wetter than normal and negative drier than normal) in years prior and year (time 0) of a high fire activity year. The horizontal solid, dashed, and dotted lines are the 95%, 99%, and 99.9% confidence intervals, respectively, computed by Monte Carlo simulation [<xref ref-type="bibr" rid="B9-geosciences-06-00037">9</xref>].</p>
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        <graphic xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="geosciences-06-00037-g001.tif"/>
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          <p>Decadal average (SE bars) Palmer Drought Severity Index for all months of the year for the 20th and 21st century in the NOAA climate divisions from north to south in California (<uri>http://www.ncdc.noaa.gov/temp-and-precip/drought/historical-palmers/</uri>).</p>
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        <label>Figure 4</label>
        <caption>
          <p>Severe die-off of <italic>Pinus ponderosa</italic> in a mixed conifer forest on the north-facing slope of Case Mountain in the southern Sierra Nevada Range, California, in July 2016 (lower slope dominated by chaparral that experienced little or no die-off). This followed a near-record-breaking drought during 2012&#x2013;2014, which is thought to have been exacerbated by anthropogenic warming both directly due to physiological stress and indirectly through enhanced pathogen activity. Parsing out the role of global warming is complicated by the fact that these forests have substantially higher tree density due to 125 years of fire suppression, a perturbation to the natural regime of fires every 10&#x2013;20 years (photo by Jon E. Keeley).</p>
        </caption>
        <graphic xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="geosciences-06-00037-g004.tif"/>
      </fig>
      <fig id="geosciences-06-00037-f005" position="float">
        <label>Figure 5</label>
        <caption>
          <p>(<bold>a</bold>) Area burned on USFS lands in the Sierra Nevada by decade; (<bold>b</bold>) spring temperature anomalies (i.e., the difference from the long-term average); and (<bold>c</bold>) annual precipitation anomalies (based on dataset in [<xref ref-type="bibr" rid="B4-geosciences-06-00037">4</xref>]).</p>
        </caption>
        <graphic xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="geosciences-06-00037-g005.tif"/>
      </fig>
      <table-wrap id="geosciences-06-00037-t001" position="float">
        <object-id pub-id-type="pii">geosciences-06-00037-t001_Table 1</object-id>
        <label>Table 1</label>
        <caption>
          <p>Examples of models relating annual area burned to climate parameters.</p>
        </caption>
        <table>
          <thead>
            <tr>
              <th align="center" valign="middle" style="border-top:solid thin;border-bottom:solid thin">Reference</th>
              <th align="center" valign="middle" style="border-top:solid thin;border-bottom:solid thin">Regional Historical Divisions * Record</th>
              <th align="center" valign="middle" style="border-top:solid thin;border-bottom:solid thin">Region</th>
              <th align="center" valign="middle" style="border-top:solid thin;border-bottom:solid thin">Vegetation</th>
              <th align="center" valign="middle" style="border-top:solid thin;border-bottom:solid thin"><italic>r</italic><sup>2</sup></th>
              <th align="center" valign="middle" style="border-top:solid thin;border-bottom:solid thin">Model (Strongest Variables)</th>
            </tr>
          </thead>
          <tbody>
            <tr>
              <td rowspan="4" align="center" valign="middle" style="border-bottom:solid thin">[<xref ref-type="bibr" rid="B16-geosciences-06-00037">16</xref>]</td>
              <td align="center" valign="middle">GACC 1984&#x2013;2010</td>
              <td align="center" valign="middle">NO (N coast/N interior)</td>
              <td align="center" valign="middle">forest</td>
              <td align="center" valign="middle">0.54</td>
              <td align="center" valign="middle">July&#x2013;October fine fuel moisture</td>
            </tr>
            <tr>
              <td align="center" valign="middle">GACC 1984&#x2013;2010</td>
              <td align="center" valign="middle">NO (N coast/N interior)</td>
              <td align="center" valign="middle">non-forest</td>
              <td align="center" valign="middle">0.35</td>
              <td align="center" valign="middle">Prior year April&#x2013;October T</td>
            </tr>
            <tr>
              <td align="center" valign="middle">GACC 1984&#x2013;2010</td>
              <td align="center" valign="middle">SO (sierra/C coast/S cal)</td>
              <td align="center" valign="middle">forest</td>
              <td align="center" valign="middle">0.44</td>
              <td align="center" valign="middle">May&#x2013;July evapotranspiration</td>
            </tr>
            <tr>
              <td align="center" valign="middle" style="border-bottom:solid thin">GACC 1984&#x2013;2010</td>
              <td align="center" valign="middle" style="border-bottom:solid thin">SO (sierra/C coast/S cal)</td>
              <td align="center" valign="middle" style="border-bottom:solid thin">non-forest</td>
              <td align="center" valign="middle" style="border-bottom:solid thin">0.44</td>
              <td align="center" valign="middle" style="border-bottom:solid thin">15 June&#x2013;15 September T</td>
            </tr>
            <tr>
              <td rowspan="3" align="center" valign="middle" style="border-bottom:solid thin">[<xref ref-type="bibr" rid="B15-geosciences-06-00037">15</xref>]</td>
              <td align="center" valign="middle">Bailey 1977&#x2013;2003</td>
              <td align="center" valign="middle">Sierra (&amp; N coast)</td>
              <td align="center" valign="middle">forest/woodland</td>
              <td align="center" valign="middle">0.53</td>
              <td align="center" valign="middle">Sum ppt, prior win ppt</td>
            </tr>
            <tr>
              <td align="center" valign="middle">Bailey 1977&#x2013;2003</td>
              <td align="center" valign="middle">CA chaparral</td>
              <td align="center" valign="middle">chaparral/woodland</td>
              <td align="center" valign="middle">0.54</td>
              <td align="center" valign="middle">Prior winPDSI, sumppt, 2 prior</td>
            </tr>
            <tr>
              <td align="center" valign="middle" style="border-bottom:solid thin">Bailey 1977&#x2013;2003</td>
              <td align="center" valign="middle" style="border-bottom:solid thin">CA woodland</td>
              <td align="center" valign="middle" style="border-bottom:solid thin">woodland/grass/chap</td>
              <td align="center" valign="middle" style="border-bottom:solid thin">0.47</td>
              <td align="center" valign="middle" style="border-bottom:solid thin">Sum ppt, prior win temp, spr T</td>
            </tr>
            <tr>
              <td rowspan="4" align="center" valign="middle" style="border-bottom:solid thin">[<xref ref-type="bibr" rid="B4-geosciences-06-00037">4</xref>]</td>
              <td align="center" valign="middle">NOAA/USFS 1910&#x2013;1959</td>
              <td align="center" valign="middle">Sierra (C&amp;S)</td>
              <td align="center" valign="middle">forest</td>
              <td align="center" valign="middle">0.41</td>
              <td align="center" valign="middle">Spr ppt, win ppt</td>
            </tr>
            <tr>
              <td align="center" valign="middle">NOAA/USFS 1960&#x2013;2010</td>
              <td align="center" valign="middle">Sierra (C&amp;S)</td>
              <td align="center" valign="middle">forest</td>
              <td align="center" valign="middle">0.53</td>
              <td align="center" valign="middle">Sum T, spr ppt</td>
            </tr>
            <tr>
              <td align="center" valign="middle">NOAA/Cal Fire 1910&#x2013;1959</td>
              <td align="center" valign="middle">Sierra (C&amp;S)</td>
              <td align="center" valign="middle">woodland/grass/chap</td>
              <td align="center" valign="middle">0.34</td>
              <td align="center" valign="middle">Prior spr ppt, spg T, sum ppt</td>
            </tr>
            <tr>
              <td align="center" valign="middle" style="border-bottom:solid thin">NOAA/Cal Fire 1960&#x2013;2010</td>
              <td align="center" valign="middle" style="border-bottom:solid thin">Sierra (C&amp;S)</td>
              <td align="center" valign="middle" style="border-bottom:solid thin">woodland/grass/chap</td>
              <td align="center" valign="middle" style="border-bottom:solid thin">0.27</td>
              <td align="center" valign="middle" style="border-bottom:solid thin">Prior spr ppt, priorwinppt, sumT</td>
            </tr>
            <tr>
              <td rowspan="2" align="center" valign="middle" style="border-bottom:solid thin">[<xref ref-type="bibr" rid="B8-geosciences-06-00037">8</xref>]</td>
              <td align="center" valign="middle">NOAA/USFS 1910&#x2013;2013</td>
              <td align="center" valign="middle">Southern Calif</td>
              <td align="center" valign="middle">chaparral/woodland/forest</td>
              <td align="center" valign="middle">0.02</td>
              <td rowspan="2" align="center" valign="middle" style="border-bottom:solid thin">-</td>
            </tr>
            <tr>
              <td align="center" valign="middle" style="border-bottom:solid thin">NOAA/Cal Fire 1910&#x2013;2013</td>
              <td align="center" valign="middle" style="border-bottom:solid thin">Southern Calif</td>
              <td align="center" valign="middle" style="border-bottom:solid thin">chaparral/grass/woodland/</td>
              <td align="center" valign="middle" style="border-bottom:solid thin">0.09</td>
            </tr>
          </tbody>
        </table>
        <table-wrap-foot>
          <fn>
            <p>* GACC: Geographic Area Coordination Centers; NOAA: National Oceanic and Atmospheric Administration; Bailey: Bailey ecoprovinces; &amp; Includes Sierra Nevada, central coast and southern California; $ Includes north coast and north interior California.</p>
          </fn>
        </table-wrap-foot>
      </table-wrap>
    </sec>
  </back>
</article>
