<?xml version="1.0" encoding="UTF-8"?><!DOCTYPE article  PUBLIC "-//NLM//DTD Journal Publishing DTD v3.0 20080202//EN" "http://dtd.nlm.nih.gov/publishing/3.0/journalpublishing3.dtd"><article xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" dtd-version="3.0" xml:lang="en" article-type="research article"><front><journal-meta><journal-id journal-id-type="publisher-id">OJE</journal-id><journal-title-group><journal-title>Open Journal of Ecology</journal-title></journal-title-group><issn pub-type="epub">2162-1985</issn><publisher><publisher-name>Scientific Research Publishing</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="doi">10.4236/oje.2018.85020</article-id><article-id pub-id-type="publisher-id">OJE-84861</article-id><article-categories><subj-group subj-group-type="heading"><subject>Articles</subject></subj-group><subj-group subj-group-type="Discipline-v2"><subject>Earth&amp;Environmental Sciences</subject></subj-group></article-categories><title-group><article-title>
 
 
  Assessment and Monitoring Damage by &lt;i&gt;Coraebus florentinus&lt;/i&gt; (Coleoptera: Buprestidae) in Mediterranean Oak Forests
 
</article-title></title-group><contrib-group><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Ana</surname><given-names>M. Cárdenas</given-names></name><xref ref-type="aff" rid="aff1"><sup>1</sup></xref><xref ref-type="corresp" rid="cor1"><sup>*</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Patricia</surname><given-names>Gallardo</given-names></name><xref ref-type="aff" rid="aff1"><sup>1</sup></xref></contrib></contrib-group><aff id="aff1"><addr-line>Department of Zoology, University of Córdoba, Córdoba, Spain</addr-line></aff><author-notes><corresp id="cor1">* E-mail:<email>ba1cataa@uco.es(AMC)</email>;</corresp></author-notes><pub-date pub-type="epub"><day>09</day><month>05</month><year>2018</year></pub-date><volume>08</volume><issue>05</issue><fpage>324</fpage><lpage>338</lpage><history><date date-type="received"><day>29,</day>	<month>March</month>	<year>2018</year></date><date date-type="rev-recd"><day>25,</day>	<month>May</month>	<year>2018</year>	</date><date date-type="accepted"><day>28,</day>	<month>May</month>	<year>2018</year></date></history><permissions><copyright-statement>&#169; Copyright  2014 by authors and Scientific Research Publishing Inc. </copyright-statement><copyright-year>2014</copyright-year><license><license-p>This work is licensed under the Creative Commons Attribution International License (CC BY). http://creativecommons.org/licenses/by/4.0/</license-p></license></permissions><abstract><p>
 
 
  Coraebus florentinus
   (Herbst) is a wood borer beetle that damages the most abundant Quercus species making up the Mediterranean forests. Damage is due to the feeding activity of the larvae which cut
  s
   the sap flow into the branch where it develops, drying it. In the last decades, the geographical range and the damage records of this species have expanded northwardly as
   a 
  result of the climate global change since warmer conditions favor higher reproduction and quicker development of this species. On this paper, historical series of data after ten years evaluating damages by C. florentinus in Hornachuelos Natural Park (Southern Spain) are analyzed under the perspective of the environmental temperature increase linked to the global climate change. The assessment was done between 2007 and 2017, in two sampling plots of Mediterranean mixed-oak forests where holm and cork oaks are the predominant tree species. Results show that the infestation levels of this species at the beginning of the assessment period were higher than those described previously in the nineties and that they increase
  d
   progressively during the monitoring time. The results also agree with the expansion of its distribution areas noticed in other areas of Europe. The foreseeable rising of damages of C. florentinus is discussed, at greater scale, under the perspective of future scenery of environmental warming and oaks decaying by losing fitness due to higher soil aridity.
 
</p></abstract><kwd-group><kwd>Buprestidae</kwd><kwd> Coleoptera</kwd><kwd> &lt;i&gt;Coraebus florentinus&lt;/i&gt;</kwd><kwd> Damage</kwd><kwd> Mediterranean</kwd><kwd> Monitoring</kwd><kwd> Oak Forests</kwd></kwd-group></article-meta></front><body><sec id="s1"><title>1. Introduction</title><p>The environmental degradation of the Mediterranean forests is an increasingly considered question when designing the management measures dealing with biodiversity or climate change [<xref ref-type="bibr" rid="scirp.84861-ref1">1</xref>] . The challenge of guaranteeing natural resources for future implies sustainable management of the forests, protection of relic preserved spaces and restoration of disturbed zones [<xref ref-type="bibr" rid="scirp.84861-ref2">2</xref>] . In agreement with these statements, the Habitat Directive (92/43/EEC, 1992), relative to the conservation of unmanaged habitats and of wild fauna and flora, established the obligation of taking all the compensatory measures necessaries to ensure the overall coherence of Nature 2000 Net (European Ecological Network for Conservation of Biodiversity [<xref ref-type="bibr" rid="scirp.84861-ref3">3</xref>] ). Accordingly, the construction of the Bre&#241;a dam (completed in 2008 in the Guadiato River basin, southern Iberian Peninsula) required the implementation of an actions’ package to offset the environmental disturbance caused by flooding part of a nature reserve and by the construction of the infrastructure itself [<xref ref-type="bibr" rid="scirp.84861-ref4">4</xref>] . Being part of these actions, between 2007 and 2017, the research project titled “Study and Monitoring Plan of wood borer beetles damaging Quercus species” has been developed, including the assessment and monitoring of damage caused by Coraebus florentinus (Herbst, 1801).</p><p>C. florentinus is a xylophagous jewel beetle (Coleoptera: Buprestidae), which bores the branches of different species of Quercus [<xref ref-type="bibr" rid="scirp.84861-ref5">5</xref>] . Because of its affinity by holm (Quercus ilex, Linn&#233; 1753) and cork oaks (Q. suber, Linn&#233; 1753), this insect is mainly distributed in the Mediterranean forests where these tree species predominate [<xref ref-type="bibr" rid="scirp.84861-ref6">6</xref>] .</p><p>The damage is due to the feeding activity of larvae, which makes longitudinal and annular galleries under the bark of terminal branches, interrupting the sap flow and drying the branches in which the insect completes its development [<xref ref-type="bibr" rid="scirp.84861-ref7">7</xref>] . The reduction in the number of healthy branches results in a progressive decay and loss of vigor of the tree [<xref ref-type="bibr" rid="scirp.84861-ref8">8</xref>] . The symptoms for recognizing damage caused by this species are easily identifiable and widely described in literature [<xref ref-type="bibr" rid="scirp.84861-ref5">5</xref>] [<xref ref-type="bibr" rid="scirp.84861-ref9">9</xref>] [<xref ref-type="bibr" rid="scirp.84861-ref10">10</xref>] [<xref ref-type="bibr" rid="scirp.84861-ref11">11</xref>] [<xref ref-type="bibr" rid="scirp.84861-ref12">12</xref>] .</p><p>In several countries from the Mediterranean basin (Italy, Spain and Portugal) it has been detected that populations of the buprestid are growing at the same time that the damages they produce are increasing [<xref ref-type="bibr" rid="scirp.84861-ref8">8</xref>] . These processes are linked, in addition to other factors, to the progressive abandonment of pruning in the Mediterranean oak forests [<xref ref-type="bibr" rid="scirp.84861-ref13">13</xref>] , in spite of being the most effective control method for some pests like this case [<xref ref-type="bibr" rid="scirp.84861-ref6">6</xref>] [<xref ref-type="bibr" rid="scirp.84861-ref14">14</xref>] .</p><p>More recently, it has been noted that the geographical range of this species is also extended towards Center-Europe and that its damages have been north-worldly expanded. This may be explained because C. florentinus, as a thermophilous species [<xref ref-type="bibr" rid="scirp.84861-ref15">15</xref>] [<xref ref-type="bibr" rid="scirp.84861-ref16">16</xref>] , is favored by the environmental warming linked to the global change [<xref ref-type="bibr" rid="scirp.84861-ref17">17</xref>] since increasing temperature rises the reproduction rate and quickens development [<xref ref-type="bibr" rid="scirp.84861-ref5">5</xref>] .</p><p>Even though it is catalogued as a primary pest of medium importance [<xref ref-type="bibr" rid="scirp.84861-ref14">14</xref>] , the combined effect of increasing populations, expanding geographical distribution and intensification of damages, have determined the inclusion of C. florentinus among the wood borer species involved in oak declines in Europe [<xref ref-type="bibr" rid="scirp.84861-ref18">18</xref>] .</p><p>On the other hand, the direct influence of climate on the oaks species making up the mixed Mediterranean forest has been analyzed from different perspectives: chorological [<xref ref-type="bibr" rid="scirp.84861-ref19">19</xref>] , eco-physiological [<xref ref-type="bibr" rid="scirp.84861-ref20">20</xref>] [<xref ref-type="bibr" rid="scirp.84861-ref21">21</xref>] and phytosanitary [<xref ref-type="bibr" rid="scirp.84861-ref22">22</xref>] . However, other more indirect and long-term consequences should also be considered, such as forestalling the disturbing effects of climate change on phytophages, xylophages or pathogens [<xref ref-type="bibr" rid="scirp.84861-ref23">23</xref>] . The increase in environmental temperature affects phenology, life cycles and distribution of phytophagous insects [<xref ref-type="bibr" rid="scirp.84861-ref24">24</xref>] , as well as synchronization of insect-plant interactions [<xref ref-type="bibr" rid="scirp.84861-ref25">25</xref>] [<xref ref-type="bibr" rid="scirp.84861-ref26">26</xref>] . A rise in temperature may, therefore, favor the development of thermophiles pest, intensifying their effects or widening their distribution as it has been evidenced for C. florentinus [<xref ref-type="bibr" rid="scirp.84861-ref17">17</xref>] .</p><p>Measuring the success of management and restoration requires having a survey plan that allows assessing environmental changes in space and time [<xref ref-type="bibr" rid="scirp.84861-ref2">2</xref>] , including the effect of the climate change on the pests.</p><p>Under this framework of reference, this research was scheduled, whose main objective was to assess and to monitor the damages caused by C. florentinus, during a ten years period and to analyze them under the perspective of the environmental temperature increase linked to the global climate change.</p></sec><sec id="s2"><title>2. Material and Methods</title><sec id="s2_1"><title>2.1. The Study Area</title><p>Field work was carried out in a natural space belonging to the Hornachuelos Natural Park (southern Iberian Peninsula; <xref ref-type="fig" rid="fig1">Figure 1</xref>) and is included in the area of environmental improvement linked to the construction of the Bre&#241;a dam [<xref ref-type="bibr" rid="scirp.84861-ref4">4</xref>] . The climate is typically Mediterranean (annual rainfall between 500 - 800 mm; average annual temperature of 17˚C approx.). The altitude ranges from 250 to 725 m (a.s.l.) [<xref ref-type="bibr" rid="scirp.84861-ref27">27</xref>] . Lithologically, palaeozoic metamorphic rocks predominate;</p><p>particularly, quartzite, slates, or semiacidic intrusive rocks. Sandy or clayey substrates can also be found. Soils are chemically and physically homogeneous and contain high levels of organic material and carbon [<xref ref-type="bibr" rid="scirp.84861-ref28">28</xref>] .</p><p>Landscape is dominated by Mediterranean mixed sclerophyllous forests that sit on the thermo and meso-Mediterranean belts. Vegetation is composed by evergreen trees, with predominance of holm oaks (Q. ilex), cork oaks (Q. suber) and phanerophyte communities of shrubs and bushes [<xref ref-type="bibr" rid="scirp.84861-ref29">29</xref>] .</p></sec><sec id="s2_2"><title>2.2. Field Tasks</title><p>Data relative to the damages by C. florentinus were taken between 2007 and 2017. Field work was carried out in two plots located in the Hornachuelos Natural Park, named “Los Lagares” and “Mezquitillas” (P1 and P2, respectively), where previously different levels of damage caused by C. florentinus had been quantified [<xref ref-type="bibr" rid="scirp.84861-ref30">30</xref>] [<xref ref-type="bibr" rid="scirp.84861-ref31">31</xref>] . The main environmental features of each plot (altitude, orientation, orography, surface, vegetal composition and coverage, tree density, and woodland age) are summarized in Appendix 1 (<xref ref-type="table" rid="table">Table </xref>A1 and <xref ref-type="table" rid="table">Table </xref>A2). Detailed information about the sampling dates, species of Quercus prospected and the respective number of trees examined at each sampling is provided in <xref ref-type="table" rid="table">Table </xref>1. At each sampling date and in each plot, 60 trees were randomly selected, geo-referenced, and carefully surveyed prior to assess damages by C. florentinus (<xref ref-type="table" rid="table">Table </xref>1). A total of 612 holm oaks and 228 cork oaks were inspected for damage caused by C. florentinus along the overall period of monitoring.</p><p>Considering that age and density of oaks could affect the courses of damages produced by C. florentinus [<xref ref-type="bibr" rid="scirp.84861-ref11">11</xref>] [<xref ref-type="bibr" rid="scirp.84861-ref13">13</xref>] , these parameters were also recorded when sampling was done. As it is accepted that the age of tree may be inferred from the diameter, the normal perimeter (measured at 1.30 m) of all selected trees was taken [<xref ref-type="bibr" rid="scirp.84861-ref32">32</xref>] [<xref ref-type="bibr" rid="scirp.84861-ref33">33</xref>] . The age of tree was inferred from its diametric value, through the expression proposed by Plieninger et al. [<xref ref-type="bibr" rid="scirp.84861-ref34">34</xref>] for Q. ilex and by Montero and Ca&#241;ellas [<xref ref-type="bibr" rid="scirp.84861-ref35">35</xref>] for Q. suber. The density of trees was estimated by the Closest Individual Method [<xref ref-type="bibr" rid="scirp.84861-ref36">36</xref>] , because it allows appraising in non-delimited spaces.</p><table-wrap id="table1" ><label><xref ref-type="table" rid="table">Table </xref>1</label><caption><title> Sampling dates and number of Quercus ilex and Q. suber sampled in P1 (Los Lagares) and P2 (Mezquitillas) at each sampling year</title></caption><table><tbody><thead><tr><th align="center" valign="middle"  rowspan="2"  >Year</th><th align="center" valign="middle"  colspan="2"  >Sampling date</th><th align="center" valign="middle"  colspan="2"  >Number of trees sampled in P1</th><th align="center" valign="middle"  colspan="2"  >Number of trees sampled in P2</th></tr></thead><tr><td align="center" valign="middle" >P1</td><td align="center" valign="middle" >P2</td><td align="center" valign="middle" >Q. ilex</td><td align="center" valign="middle" >Q. suber</td><td align="center" valign="middle" >Q. ilex</td><td align="center" valign="middle" >Q. suber</td></tr><tr><td align="center" valign="middle" >2007</td><td align="center" valign="middle" >7 June</td><td align="center" valign="middle" >25 June</td><td align="center" valign="middle" >60</td><td align="center" valign="middle" >0</td><td align="center" valign="middle" >30</td><td align="center" valign="middle" >30</td></tr><tr><td align="center" valign="middle" >2008</td><td align="center" valign="middle" >2 May</td><td align="center" valign="middle" >6 May</td><td align="center" valign="middle" >52</td><td align="center" valign="middle" >8</td><td align="center" valign="middle" >42</td><td align="center" valign="middle" >18</td></tr><tr><td align="center" valign="middle" >2009</td><td align="center" valign="middle" >16 June</td><td align="center" valign="middle" >12 June</td><td align="center" valign="middle" >60</td><td align="center" valign="middle" >0</td><td align="center" valign="middle" >25</td><td align="center" valign="middle" >35</td></tr><tr><td align="center" valign="middle" >2010</td><td align="center" valign="middle" >6 May</td><td align="center" valign="middle" >7 May</td><td align="center" valign="middle" >38</td><td align="center" valign="middle" >22</td><td align="center" valign="middle" >27</td><td align="center" valign="middle" >33</td></tr><tr><td align="center" valign="middle" >2012</td><td align="center" valign="middle" >12 June</td><td align="center" valign="middle" >19 May</td><td align="center" valign="middle" >43</td><td align="center" valign="middle" >17</td><td align="center" valign="middle" >42</td><td align="center" valign="middle" >18</td></tr><tr><td align="center" valign="middle" >2013</td><td align="center" valign="middle" >20 June</td><td align="center" valign="middle" >28 June</td><td align="center" valign="middle" >48</td><td align="center" valign="middle" >12</td><td align="center" valign="middle" >58</td><td align="center" valign="middle" >2</td></tr><tr><td align="center" valign="middle" >2017</td><td align="center" valign="middle" >9 June</td><td align="center" valign="middle" >15 June</td><td align="center" valign="middle" >48</td><td align="center" valign="middle" >12</td><td align="center" valign="middle" >39</td><td align="center" valign="middle" >21</td></tr></tbody></table></table-wrap><p>Data of environmental temperatures were obtained from the website of the Agriculture and Fisheries Council, Junta de Andaluc&#237;a, Spain [<xref ref-type="bibr" rid="scirp.84861-ref37">37</xref>] (Appendix 2, <xref ref-type="table" rid="table">Table </xref>A3).</p><p>Diagnosis of damage was made by observing the branches showing clear symptoms of current attack of the insect (yellowish leaves still bearing in the treetop). These branches are well distinguishable from those infected in preceding years because the older ones only conserve few, obscure, and dry leaves still hanging on the branch, or are totally defoliated, acquiring a singular aspect, easily recognizable on the canopy [<xref ref-type="bibr" rid="scirp.84861-ref8">8</xref>] [<xref ref-type="bibr" rid="scirp.84861-ref38">38</xref>] [<xref ref-type="bibr" rid="scirp.84861-ref39">39</xref>] .</p></sec><sec id="s2_3"><title>2.3. Data Analysis</title><p>To assess damage by C. florentinus, the following parameters were estimated [<xref ref-type="bibr" rid="scirp.84861-ref6">6</xref>] [<xref ref-type="bibr" rid="scirp.84861-ref11">11</xref>] [<xref ref-type="bibr" rid="scirp.84861-ref13">13</xref>] :</p><p>1) Infestation Level (IL): Percentage of trees damaged from the total sampled.</p><p>2) Population Intensity (PI): Average number of dry branches/damaged tree.</p><p>The following statistical tests were performed to evaluate the model bias.</p><p>The independent sample T-test was used to check differences between P1 and P2, relative to the tree density, the average diameter (independently for each Quercus species), and the IL and PI indices, considering the total sample of trees prospected in each sampling plot, along the complete sampling period. If the normality assumptions were not satisfied, after checking by the Shapiro-Wilk test, the equivalent non-parametric Mann-Whitney U/Wilcoxon Ranked Sum test was performed [<xref ref-type="bibr" rid="scirp.84861-ref40">40</xref>] .</p><p>To explore relationships between tree age and damage (parameters IL and PI) or between tree density and damage (parameters IL and PI), the r-Pearson correlation coefficient was used for normally distributed variables. If not, the Spearman rank correlation coefficient was instead calculated.</p><p>To determine the fitting model for the relationship between the average environmental temperatures and damage (parameters IL and PI), a simple linear regression was performed, where Y was IL or IP as dependent variables and X was Temperature as predictor variable [<xref ref-type="bibr" rid="scirp.84861-ref41">41</xref>] .</p><p>All statistical tests were conducted with α = 0.05.</p><p>Calculations were performed using SP Statistical Software (SPSS 20.0, 2011) and Past Software [<xref ref-type="bibr" rid="scirp.84861-ref42">42</xref>] .</p></sec></sec><sec id="s3"><title>3. Results</title><sec id="s3_1"><title>3.1. Analysis of the Starting Situation: Testing Differences between the Sampling Plots</title><p>First of all, differences in the diameter of the trees sampled in P1 and P2 plots were checked, considering independently the samples of Q. suber and Q. ilex, because the difference in average size of them.</p><p>The results indicate that there are significant differences in the diameter of the holm oaks and the cork oaks sampled in plots P1 and P2 (Z = −4.462, P = 0; Z = −3.495, P = 0, respectively); corresponding to P1 the oldest trees in both species.</p><p>Differences in tree density between P1 and P2 were tested but considering the overall sample. On this case, the statistical test did not found significant differences (T = −0.671, P = 0.515).</p><p>To complete the analysis, the parameters Infestation Level and Population Intensity were compared: regarding IL, the initial values corresponding to 2007 were higher in P2 (12.5) than in P1 (5.0); while there were non-significant differences in PI values of the two sampling plots (T = −1.798, P = 0.097).</p></sec><sec id="s3_2"><title>3.2. Relationships between Tree Age, Density and Damage by C. florentinus</title><p>To explore relationships between tree age and damages by C. florentinus correlations between the initial values (2007) of Infestation Level and Population Intensity of each sample and its respective average diameter were calculated, considering independently each oak species and sampling plot. Correlation values and their respective significance (<xref ref-type="table" rid="table">Table </xref>2) show non-significant correlation between tree diameter and damages by C. florentinus.</p><p>Correlation between the damage’s indicator parameters and the density of the set of trees sampled in each plot (<xref ref-type="table" rid="table">Table </xref>3) resulted statistically significant only between Infestation Level and tree density in P1 plot.</p></sec><sec id="s3_3"><title>3.3. The Course of Damage over Time</title><p>The course of the Infestation Level and the Population Intensity in the sampling plots (P1 and P2) in the period 2007-2017 are displayed in <xref ref-type="fig" rid="fig2">Figure 2</xref>(a) and</p><table-wrap id="table2" ><label><xref ref-type="table" rid="table">Table </xref>2</label><caption><title> The Pearson (r-P) or Spearman (r-S) correlation coefficient and probability (P) between tree diamater and damages (IL and PI) by C. florentinus for each tree species (Quercus ilex and Q. suber) sampled in P1 (Los Lagares) and P2 (Mezquitillas). IL: Infestation Level; PI: Population Intensity</title></caption><table><tbody><thead><tr><th align="center" valign="middle"  rowspan="2"  >Sampling Plot</th><th align="center" valign="middle" ></th><th align="center" valign="middle"  colspan="2"  >IL</th><th align="center" valign="middle"  colspan="2"  >PI</th></tr></thead><tr><td align="center" valign="middle" ></td><td align="center" valign="middle" >P</td><td align="center" valign="middle" >r-P/r-S</td><td align="center" valign="middle" >P</td><td align="center" valign="middle" >r-P/r-S</td></tr><tr><td align="center" valign="middle"  rowspan="2"  >P1</td><td align="center" valign="middle" >Q. ilex</td><td align="center" valign="middle" >0.349</td><td align="center" valign="middle" >0.419</td><td align="center" valign="middle" >0.221</td><td align="center" valign="middle" >0.530</td></tr><tr><td align="center" valign="middle" >Q. suber</td><td align="center" valign="middle" >0.873</td><td align="center" valign="middle" >0.100</td><td align="center" valign="middle" >0.188</td><td align="center" valign="middle" >0.700</td></tr><tr><td align="center" valign="middle"  rowspan="2"  >P2</td><td align="center" valign="middle" >Q. ilex</td><td align="center" valign="middle" >0.427</td><td align="center" valign="middle" >−0.361</td><td align="center" valign="middle" >0.058</td><td align="center" valign="middle" >−0.739</td></tr><tr><td align="center" valign="middle" >Q. suber</td><td align="center" valign="middle" >0.089</td><td align="center" valign="middle" >0.686</td><td align="center" valign="middle" >0.207</td><td align="center" valign="middle" >0.543</td></tr></tbody></table></table-wrap><table-wrap id="table3" ><label><xref ref-type="table" rid="table">Table </xref>3</label><caption><title> The Pearson correlation coefficient (r-P) and probability (P) between damages (IL and PI) by C. florentinus and tree density in P1 (Los Lagares) and P2 (Mezquitillas). IL: Infestation Level; PI: Population Intensity; * indicates statistical significance</title></caption><table><tbody><thead><tr><th align="center" valign="middle"  rowspan="2"  >Sampling Plot</th><th align="center" valign="middle"  colspan="2"  >IL</th><th align="center" valign="middle"  colspan="2"  >PI</th></tr></thead><tr><td align="center" valign="middle" >P</td><td align="center" valign="middle" >r-P</td><td align="center" valign="middle" >P</td><td align="center" valign="middle" >r-P</td></tr><tr><td align="center" valign="middle" >P1</td><td align="center" valign="middle" >0.010*</td><td align="center" valign="middle" >0.877</td><td align="center" valign="middle" >0.160</td><td align="center" valign="middle" >0.594</td></tr><tr><td align="center" valign="middle" >P2</td><td align="center" valign="middle" >0.630</td><td align="center" valign="middle" >−0.224</td><td align="center" valign="middle" >0.208</td><td align="center" valign="middle" >0.543</td></tr></tbody></table></table-wrap><p><xref ref-type="fig" rid="fig2">Figure 2</xref>(b), respectively. The trend lines show an increase in the Infestation Level which is more evident in P1 than in P2 plots, even though the initial infestation was higher in P2 than in P1 (subsection 3.1). The same effect is observed in the Population Intensity, although in this case the difference in the slope is attenuated being that the range of variation is lower.</p><p>If relationships between data of Infestation Level or Population Intensity with respect to the average annual temperature are fitted to a Linear Simple Regression Model (<xref ref-type="fig" rid="fig3">Figure 3</xref>), the “r” statistic results positive and statistically significant in both sampling plots (<xref ref-type="table" rid="table">Table </xref>4).</p></sec></sec><sec id="s4"><title>4. Discussion</title><p>“As climate shifts, so do pests” [<xref ref-type="bibr" rid="scirp.84861-ref43">43</xref>] ; to verify this statement in the particular case of C. florentinus in the southern of Iberian Peninsula summarizes the starting point of this research. In fact, it has been proved that changes in climate can</p><table-wrap id="table4" ><label><xref ref-type="table" rid="table">Table </xref>4</label><caption><title> Values of the Linear Regression coeficient (r) and probablility (P) between damage (Infestation Level: IL; Population Intensity: PI) and Annual Average Temperature (˚C) for each sampling plot (P1: Los Lagares; P2: Mezquitillas); * indicates statistical significance</title></caption><table><tbody><thead><tr><th align="center" valign="middle"  rowspan="2"  >Statistics values</th><th align="center" valign="middle"  colspan="4"  >Linear Simple Regression</th></tr></thead><tr><td align="center" valign="middle"  colspan="2"  >P1</td><td align="center" valign="middle"  colspan="2"  >P2</td></tr><tr><td align="center" valign="middle" ></td><td align="center" valign="middle" >IL</td><td align="center" valign="middle" >PI</td><td align="center" valign="middle" >IL</td><td align="center" valign="middle" >PI</td></tr><tr><td align="center" valign="middle" >r =</td><td align="center" valign="middle" >0.196</td><td align="center" valign="middle" >0.334</td><td align="center" valign="middle" >0.198</td><td align="center" valign="middle" >0.395</td></tr><tr><td align="center" valign="middle" >P =</td><td align="center" valign="middle" >0.014*</td><td align="center" valign="middle" >0.001*</td><td align="center" valign="middle" >0.021*</td><td align="center" valign="middle" >0.050*</td></tr></tbody></table></table-wrap><p>influence distribution range and populations size of forest insects [<xref ref-type="bibr" rid="scirp.84861-ref44">44</xref>] . Temperature directly could affect rate of development, voltinism, population density, and extent of host plant exploitation and even the geographical distribution of this species [<xref ref-type="bibr" rid="scirp.84861-ref45">45</xref>] . In addition, it has been proven that shifts in temperature may also affects fitness and resistance of the host trees, which likewise impacts the progress of the damage in the forest [<xref ref-type="bibr" rid="scirp.84861-ref17">17</xref>] .</p><p>Accordingly, prior to setting goals for environmental management it is necessary to assess the current situation of the area to be enhanced [<xref ref-type="bibr" rid="scirp.84861-ref45">45</xref>] . Trying to address this question, we look for the information relative to the effect of the climate change on the southern Iberian Peninsula. The last report from the International Panel on Climate Change [<xref ref-type="bibr" rid="scirp.84861-ref46">46</xref>] highlights the Mediterranean as one of the most vulnerable regions in the planet to be impacted by global warming. Simulations with impact models have shed some light on the risks and sensitivities to climate change, but they pose limitations when are applied at the regional scale and for low levels of warming [<xref ref-type="bibr" rid="scirp.84861-ref47">47</xref>] .</p><p>Descending to the local scale of the studied area, we have verified significant thermal rising on the last decades. Indeed, the bioclimatic study of the Hornachuelos Natural Park, performed with data from the 60 s and 70 s [<xref ref-type="bibr" rid="scirp.84861-ref48">48</xref>] , gave an average annual value of 16.8˚C, while if the period is extended to 1992, the average annual temperature rises to 17.5˚C [<xref ref-type="bibr" rid="scirp.84861-ref37">37</xref>] .</p><p>Between 2000 and 2005, the average temperature for the area was 17.6˚C; and our data (<xref ref-type="table" rid="table">Table </xref>A3 in Appendix 2) show average annual temperature ranging between 17.7˚C in 2007 to 19.0˚C in 2017, which confirms the increasing trend at the local scale of the Hornachuelos Natural Park.</p><p>On the other hand, it should be paid attention to the direct influence of climate on the oaks species making up conforming the Mediterranean forests [<xref ref-type="bibr" rid="scirp.84861-ref19">19</xref>] [<xref ref-type="bibr" rid="scirp.84861-ref20">20</xref>] [<xref ref-type="bibr" rid="scirp.84861-ref21">21</xref>] [<xref ref-type="bibr" rid="scirp.84861-ref22">22</xref>] and on their pathogens and phytophagous insects [<xref ref-type="bibr" rid="scirp.84861-ref23">23</xref>] [<xref ref-type="bibr" rid="scirp.84861-ref24">24</xref>] [<xref ref-type="bibr" rid="scirp.84861-ref25">25</xref>] [<xref ref-type="bibr" rid="scirp.84861-ref26">26</xref>] .</p><p>On the first of these issues, it is known that the oak’s response to climate has varied in recent decades in Mediterranean areas as consequence of the increasing temperature and aridity [<xref ref-type="bibr" rid="scirp.84861-ref49">49</xref>] . Species like Q. ilex are likely to be most susceptible of suffering the negative effects of climate change [<xref ref-type="bibr" rid="scirp.84861-ref50">50</xref>] because increasing temperature without rising precipitation, intensifying ETP rates and water stress, which may prompt significant changes in the distribution of the species [<xref ref-type="bibr" rid="scirp.84861-ref19">19</xref>] .</p><p>The second question to be considered is, in our case, the effect of thermic rising on the wood borer insects. Studies on some Buprestidae species (Agrilus sinuatus Olivier 1780, and A. sulcicollis Lacordaire 1835) [<xref ref-type="bibr" rid="scirp.84861-ref24">24</xref>] reveal that the geographical ranges have changed significantly as consequence of the climate change. Other research [<xref ref-type="bibr" rid="scirp.84861-ref51">51</xref>] found that the emerald ash borer (A. planipennis Fairmaire 1888) shows great tolerance to wide ranges of high temperature. Regarding to C. florentinus, laboratory essays have highlighted faster development and enhanced survival at higher temperatures [<xref ref-type="bibr" rid="scirp.84861-ref5">5</xref>] [<xref ref-type="bibr" rid="scirp.84861-ref6">6</xref>] [<xref ref-type="bibr" rid="scirp.84861-ref26">26</xref>] . In addition, previous data [<xref ref-type="bibr" rid="scirp.84861-ref11">11</xref>] recorded also in the Hornachuelos Natural Park found infestation levels ranging from 3.02% to 9.80% in the period 1988-1993 and between 3% and 5% for 1991-1994 [<xref ref-type="bibr" rid="scirp.84861-ref12">12</xref>] , in the same area. All these values are noticeably lower than those we found more than twenty years later. If the evolution of the insect populations is assessed by the course of the damage that it produces in the forest, the temperature increase found for the study area would be compatible with a significant increase in the parameters that allow quantifying their damages.</p><p>In fact, this happens: when the slope of the lines of the infestation levels of the last ten years is analyzed, an upward trend is detected that runs parallel to the thermal variation noticed. This result was verified after performing the linear regression between both parameters. Something similar, although quite less evident, occurs with the intensity of population.</p><p>This result may be interpreted as that the temperature favors the development of the populations of C. florentinus, but they do no concentrate damages in the same proportion. It tends to expand their occupancy area, infesting more trees. This may also explain that the level of infestation has increased less in the plot where more damage was initially quantified, and it is compatible with the expansion predicted in the models developed [<xref ref-type="bibr" rid="scirp.84861-ref17">17</xref>] to explicate the immigration of C. florentinus towards regions of Central Europe.</p><p>According to our results, other environmental factors, as the age of the trees, seem to be less significant on the course of the pest on the research area. Nevertheless, results relative to relationships between damage and tree density is significant in the plot P1 “Los Lagares”. On this regard, it is known that stand density could attenuate the response to climate by smoothing extreme conditions. But, nevertheless, the effect of competition might reverse this positive influence at individual level. It has been suggested that reduction of density by thinning could increase the individual resistance to drought stress and that this differential response varies with climatic shifts [<xref ref-type="bibr" rid="scirp.84861-ref52">52</xref>] [<xref ref-type="bibr" rid="scirp.84861-ref53">53</xref>] . As the detailed study of these effects on the Quercus species studied has not been addressed in the present work, more research is necessary to make a more whole interpretation of the results.</p></sec><sec id="s5"><title>5. Conclusion</title><p>In conclusion, based on the current results and those of prior research, it can be stated that there has been a local thermal increase that has affected the populations of C. florentinus in the southern Iberian Peninsula, extending their damage but not intensifying them significantly. The foreseeable spreading of the insect on the future climate scenarios makes necessary the implementation of effective control activities, as selective pruning [<xref ref-type="bibr" rid="scirp.84861-ref6">6</xref>] , in the management of Mediterranean oak forests, as a preventive measure to avoid the demographic explosion of this pest.</p></sec><sec id="s6"><title>Acknowledgements</title><p>The authors are grateful to ACUAES (Aguas de la Cuenca de Espa&#241;a, S.A., Ministry of Agriculture, Food and Environment, Government of Spain) and Ingenier&#237;a y Gesti&#243;n del Sur, S.L. (Grupo IG-IPA) for the financial support and graduate Mr. Juan Rafael Carbonero for his assistance in formal aspects of the manuscript.</p></sec><sec id="s7"><title>Cite this paper</title><p>C&#225;rdenas, A.M. and Gallardo, P. (2018) Assessment and Monitoring Damage by Coraebus florentinus (Coleoptera: Buprestidae) in Mediterranean Oak Forests. Open Journal of Ecology, 8, 324-338. https://doi.org/10.4236/oje.2018.85020</p></sec><sec id="s8"><title>Appendix 1</title><table-wrap id="table5" ><label><xref ref-type="table" rid="table">Table </xref>A1</label><caption><title> Environmental features of the plot P1 (Los Lagares): surface, orography, orientation, altitude, vegetal composition, coverage, tree density and woodland age</title></caption><table><tbody><thead><tr><th align="center" valign="middle"  colspan="2"  >P1 (Los Lagares)</th></tr></thead><tr><td align="center" valign="middle" >Average surface</td><td align="center" valign="middle" >1.82 ha</td></tr><tr><td align="center" valign="middle" >Orography</td><td align="center" valign="middle" >Hillside with medium slope</td></tr><tr><td align="center" valign="middle" >Orientation</td><td align="center" valign="middle" >South</td></tr><tr><td align="center" valign="middle" >Average altitude</td><td align="center" valign="middle" >426 m</td></tr><tr><td align="center" valign="middle" >Shrub composition</td><td align="center" valign="middle" >Cistus sp. L., Phlomis purpurea L., Lavandula stoechas L., Rubus ulmifolius Schott, Daphne gnidium L., Genista hirsuta Vahl., Pistacia lentiscus L., Rosmarinus officinalis L.</td></tr><tr><td align="center" valign="middle" >Canopy cover fraction</td><td align="center" valign="middle" >25% - 50%</td></tr><tr><td align="center" valign="middle" >Average woodland composition</td><td align="center" valign="middle" >Quercus ilex L. (≈80%) and Q. suber L. (≈20%). Pure forest of holm oaks</td></tr><tr><td align="center" valign="middle" >Average density woodland</td><td align="center" valign="middle" >60 trees/ha</td></tr><tr><td align="center" valign="middle" >Woodland age</td><td align="center" valign="middle" >Average diameter Q. ilex = 35.99 &#177; 3.56 cm; Average diameter Q. suber = 60.59 &#177; 10.13 cm</td></tr></tbody></table></table-wrap><table-wrap id="table6" ><label><xref ref-type="table" rid="table">Table </xref>A2</label><caption><title> Environmental features of the plot P2 (Mezquitillas): surface, orography, orientation, altitude, vegetal composition, coverage, tree density and woodland age</title></caption><table><tbody><thead><tr><th align="center" valign="middle"  colspan="3"  >P2 (Mezquitillas)</th></tr></thead><tr><td align="center" valign="middle" >Average surface</td><td align="center" valign="middle"  colspan="2"  >1.40 ha</td></tr><tr><td align="center" valign="middle" >Orography</td><td align="center" valign="middle"  colspan="2"  >Hillside with low/medium slope</td></tr><tr><td align="center" valign="middle" >Orientation</td><td align="center" valign="middle"  colspan="2"  >South</td></tr><tr><td align="center" valign="middle" >Average altitude</td><td align="center" valign="middle"  colspan="2"  >541 m</td></tr><tr><td align="center" valign="middle" >Shrub composition</td><td align="center" valign="middle"  colspan="2"  >Cistus sp., P. purpurea, R. ulmifolius, D. gnidium, G. hirsuta, P. lentiscus, Hedera helix L., L. stoechas, Smilax aspera L., R. officinalis L., Nerium oleander L.</td></tr><tr><td align="center" valign="middle" >Canopy cover fraction</td><td align="center" valign="middle" >25% - 50%</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Average woodland composition</td><td align="center" valign="middle"  colspan="2"  >Q. ilex (≈90%) and Q. suber (≈10%). Pure forest of holm oaks</td></tr><tr><td align="center" valign="middle" >Average density woodland</td><td align="center" valign="middle"  colspan="2"  >80 trees/ha</td></tr><tr><td align="center" valign="middle" >Woodland age</td><td align="center" valign="middle"  colspan="2"  >Average diameter Q. ilex = 31.06 &#177; 6.01 cm; Average diameter Q. suber = 52.84&#177; 11.31 cm</td></tr></tbody></table></table-wrap></sec><sec id="s9"><title>Appendix 2</title><table-wrap id="table7" ><label><xref ref-type="table" rid="table">Table </xref>A3</label><caption><title> Average of maximum, minimum and mean temperatures (˚C) of the research area during the sampling period</title></caption><table><tbody><thead><tr><th align="center" valign="middle"  rowspan="2"  >Average temperature</th><th align="center" valign="middle"  colspan="11"  >Sampling period</th></tr></thead><tr><td align="center" valign="middle" >2007</td><td align="center" valign="middle" >2008</td><td align="center" valign="middle" >2009</td><td align="center" valign="middle" >2010</td><td align="center" valign="middle" >2011</td><td align="center" valign="middle" >2012</td><td align="center" valign="middle" >2013</td><td align="center" valign="middle" >2014</td><td align="center" valign="middle" >2015</td><td align="center" valign="middle" >2016</td><td align="center" valign="middle" >2017</td></tr><tr><td align="center" valign="middle" >Maximum</td><td align="center" valign="middle" >24.8</td><td align="center" valign="middle" >24.4</td><td align="center" valign="middle" >25.3</td><td align="center" valign="middle" >24.2</td><td align="center" valign="middle" >25.5</td><td align="center" valign="middle" >25.1</td><td align="center" valign="middle" >24.5</td><td align="center" valign="middle" >25.3</td><td align="center" valign="middle" >25.8</td><td align="center" valign="middle" >25.0</td><td align="center" valign="middle" >26.5</td></tr><tr><td align="center" valign="middle" >Minimum</td><td align="center" valign="middle" >11.6</td><td align="center" valign="middle" >11.7</td><td align="center" valign="middle" >11.9</td><td align="center" valign="middle" >12.0</td><td align="center" valign="middle" >12.6</td><td align="center" valign="middle" >11.6</td><td align="center" valign="middle" >11.9</td><td align="center" valign="middle" >12.6</td><td align="center" valign="middle" >12.0</td><td align="center" valign="middle" >12.4</td><td align="center" valign="middle" >12.3</td></tr><tr><td align="center" valign="middle" >Mean</td><td align="center" valign="middle" >17.7</td><td align="center" valign="middle" >17.7</td><td align="center" valign="middle" >18.3</td><td align="center" valign="middle" >17.8</td><td align="center" valign="middle" >18.5</td><td align="center" valign="middle" >17.9</td><td align="center" valign="middle" >17.9</td><td align="center" valign="middle" >18.5</td><td align="center" valign="middle" >18.5</td><td align="center" valign="middle" >18.4</td><td align="center" valign="middle" >19.0</td></tr></tbody></table></table-wrap></sec></body><back><ref-list><title>References</title><ref id="scirp.84861-ref1"><label>1</label><mixed-citation publication-type="other" xlink:type="simple">Thompson, I.D., Guariguata, M.R., Okabe, K., Bahamondez, R., Nasi, R., Heymell, V. and Sabogal, C. 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