<?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">AS</journal-id><journal-title-group><journal-title>Agricultural Sciences</journal-title></journal-title-group><issn pub-type="epub">2156-8553</issn><publisher><publisher-name>Scientific Research Publishing</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="doi">10.4236/as.2019.102012</article-id><article-id pub-id-type="publisher-id">AS-90637</article-id><article-categories><subj-group subj-group-type="heading"><subject>Articles</subject></subj-group><subj-group subj-group-type="Discipline-v2"><subject>Biomedical&amp;Life Sciences</subject><subject> Earth&amp;Environmental Sciences</subject></subj-group></article-categories><title-group><article-title>
 
 
  A Brief Study on Using pH&lt;sub&gt;H&lt;sub&gt;2&lt;/sub&gt;O&lt;/sub&gt; to Predict pH&lt;sub&gt;KCl&lt;/sub&gt; for Acid Soils
 
</article-title></title-group><contrib-group><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Anqi</surname><given-names>Wang</given-names></name><xref ref-type="aff" rid="aff1"><sup>1</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Decheng</surname><given-names>Li</given-names></name><xref ref-type="aff" rid="aff2"><sup>2</sup></xref><xref ref-type="corresp" rid="cor1"><sup>*</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Biao</surname><given-names>Huang</given-names></name><xref ref-type="aff" rid="aff3"><sup>3</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Yin</surname><given-names>Lu</given-names></name><xref ref-type="aff" rid="aff4"><sup>4</sup></xref></contrib></contrib-group><aff id="aff3"><addr-line>Key Laboratory of Soil Environment and Pollution Remediation, Institute of Soil Science, Chinese Academy of Sciences, Nan-jing, China</addr-line></aff><aff id="aff4"><addr-line>College of Natural Resources and Environment, South China Agricultural University, Guangzhou, China</addr-line></aff><aff id="aff2"><addr-line>State Key Laboratory of Soil and Sustainable Agriculture, Institute of Soil Science, Chinese Academy of Sciences, Nanjing, China</addr-line></aff><aff id="aff1"><addr-line>University of the Chinese Academy of Sciences, Beijing, China</addr-line></aff><pub-date pub-type="epub"><day>18</day><month>02</month><year>2019</year></pub-date><volume>10</volume><issue>02</issue><fpage>142</fpage><lpage>149</lpage><history><date date-type="received"><day>5,</day>	<month>December</month>	<year>2018</year></date><date date-type="rev-recd"><day>18,</day>	<month>February</month>	<year>2019</year>	</date><date date-type="accepted"><day>21,</day>	<month>February</month>	<year>2019</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>
 
 
  pH
  <sub>KCl</sub> and pH
  <sub>H<sub>2</sub>O</sub> are two basic necessary indexes to reflect the acidity of asoil. Predicting 
  pH
  <sub style="white-space:normal;">KCl </sub>directly from 
  pH
  <sub style="white-space:normal;">H<sub>2</sub>O </sub>could save the cost of laboratory work. In this study, the values of pHKCl and of 442 and 310 horizon samples from 126 and 98 soil profiles (0 - 120 cm in depth) surveyed from 2014 to 2015 in Guangxi and Yunnan were used to establish the optimal correlation model between 
  pH
  <sub style="white-space:normal;">KCl</sub> and 
  pH
  <sub style="white-space:normal;">H<sub>2</sub>O</sub>. The results showed that: 1) 
  pH
  <sub style="white-space:normal;">KCl</sub> is lower than 
  pH
  <sub style="white-space:normal;">H<sub>2</sub>O</sub>, 
  pH
  <sub style="white-space:normal;">KCl </sub>was 0.07 - 1.99 units with a mean of 0.99 units lower than for Guangxi, while 0.03 - 1.90 units with a mean of 0.89 lower than 
  pH
  <sub style="white-space:normal;">H<sub>2</sub>O </sub>for Yunan. 2) There is significant positive correlation between 
  pH
  <sub style="white-space:normal;">KCl</sub>
   and pH
  <sub style="white-space:normal;">H<sub>2</sub>O</sub>, the optimal correlation models between 
  pH
  <sub style="white-space:normal;">KCl </sub>(y) and 
  pH
  <sub style="white-space:normal;">H<sub>2</sub>O </sub>(x) for Guangxi and Yunnan are y = 0.1963x
  <sup>2</sup> 
  &amp;minus; 1.0512x + 4.338, R2 = 0.836, p &lt; 0.01 and y = 1.5882e
  <sup>0.1859x</sup>, R2 = 0.769, p &lt; 0.01, respectively, and the values of MAE and RSME of the models are 0.13 and 0.36 for Guangxi, 0.08 and 0.28 for Yunnan, respectively. There are significant negative correlations between 
  pH
  <sub style="white-space:normal;">KCl </sub>with exchangeable H
  <sup>+ </sup>and Al
  <sup>3+</sup> (R2 = 0.487, 0.716, p &lt; 0.01), and 
  pH
  <sub style="white-space:normal;">KCl </sub>is dominated by exchangeable Al
  <sup>3+</sup>, followed by exchangeable H
  <sup>+</sup>, and their contribution to 
  pH
  <sub style="white-space:normal;">KCl </sub>were 71.1% and 28.7%, respectively.
 
</p></abstract><kwd-group><kwd>Predicting Model</kwd><kwd> pH&lt;sub&gt;KCl&lt;/sub&gt;</kwd><kwd> pH&lt;sub&gt;H&lt;sub&gt;2&lt;/sub&gt;O&lt;/sub&gt;</kwd><kwd> Correlation</kwd><kwd> Influential Factors</kwd><kwd> Acid Soil</kwd></kwd-group></article-meta></front><body><sec id="s1"><title>1. Introduction</title><p>pH is a basic but important property of soil, it can influence soil other physicochemical properties, microorganism activities and plant growth. For an acid soil (pH &lt; 7.0), usually containing more potential exchangeable Al<sup>3+</sup> and H<sup>+</sup>, pH measured by KCl extraction (here expressed as pH<sub>KCl</sub>) is conventionally used to indicate soil acidity together with pH measured by water extraction (here expressed as pH H 2 O ) [<xref ref-type="bibr" rid="scirp.90637-ref1">1</xref>] . Moreover, pH<sub>KCl</sub> is also used to identify Alice property (pH<sub>KCl</sub> ≤ 4.0) or Alice evidence (pH<sub>KCl</sub> ≤ 4.5) in soil taxonomy [<xref ref-type="bibr" rid="scirp.90637-ref2">2</xref>] [<xref ref-type="bibr" rid="scirp.90637-ref3">3</xref>] .</p><p>It is well known that there is internal relationship between pH<sub>KCl</sub> and pH H 2 O , but so far little information is available on the quantitative correlation between pH<sub>KCl</sub> and pH H 2 O , possibly due to the easiness in measuring pH<sub>KCl</sub> as pH H 2 O in the laboratory. However, it is still worthy predicating pH<sub>KCl</sub> directly from pH H 2 O on the special conditions, for examples, when there is no information of pH<sub>KCl</sub> for soils in the historical literatures, or to save time and cost for a massive measurement in the laboratory. Meanwhile, some studies showed that soil pH is dominated by exchangeable Al<sup>3+</sup>, followed by the exchangeable H<sup>+</sup> for acid soils in south China [<xref ref-type="bibr" rid="scirp.90637-ref4">4</xref>] [<xref ref-type="bibr" rid="scirp.90637-ref5">5</xref>] , and exchangeable base, the contents of SOC and clays may also influence soil pH [<xref ref-type="bibr" rid="scirp.90637-ref6">6</xref>] [<xref ref-type="bibr" rid="scirp.90637-ref7">7</xref>] [<xref ref-type="bibr" rid="scirp.90637-ref8">8</xref>] [<xref ref-type="bibr" rid="scirp.90637-ref9">9</xref>] , however, it is still unclear that the quantitative contribution of these influential factors to soil pH.</p><p>Thus, soil dada of Guangxi and Yunnan in South China obtained in 2014-2015 were used in this study in order to: 1) establish the optimal correlation model between pH<sub>KCl</sub> and pH H 2 O , and 2) to quantitatively identity the contribution of exchangeable H<sup>+</sup>, exchangeable Al<sup>3+</sup>, exchangeable base, SOC and clay contents to soil pH.</p></sec><sec id="s2"><title>2. Methods and Materials</title><sec id="s2_1"><title>2.1. Data of Soil Indexes</title><p>Soil Series Database of the National S &amp; T Special Basic Project of Soil Series Survey and Compilation of Soil Series of China (Nos. 2008FY110600 &amp; 2014FY110200) were used in this study. After the comparison of the data completeness of pH<sub>KCl</sub>, pH H 2 O , exchangeable H<sup>+</sup>, exchangeable Al<sup>3+</sup>, exchangeable base, SOC and clay contents, and the elimination of abnormal data according to method of μ &#177; 3σ, 442 and 310 horizon samples from 126 and 98 soil profiles (0 - 120 cm in depth) surveyed from 2014 to 2015 in Guangxi and Yunnan (see <xref ref-type="fig" rid="fig1">Figure 1</xref>) were used to setup the optimal correlation model between pH<sub>KCl</sub> and pH H 2 O , while 110 horizon samples from 30 soil profiles in Yunnan were adopted to quantitatively disclose the influence of exchangeable H<sup>+</sup>, exchangeable Al<sup>3+</sup>, exchangeable base, SOC and clay contents on soil pH.</p></sec><sec id="s2_2"><title>2.2. Methods to Determine Soil Indexes</title><p>For soil indexes adopted in this study, pH H 2 O and pH<sub>KCl</sub> were determined by potentiometer method after water extraction (soil: water is 1:2.5) and 1 mol∙L<sup>−1</sup> KCl extraction, respectively. Exchangeable H<sup>+</sup> and Al<sup>3+</sup> by neutralization titration method after 1 mol∙L<sup>−1</sup> KCl extraction, exchangeable base by drying neutralization titration method after 1 mol∙L<sup>−1</sup> NH<sub>4</sub>OAc extraction, SOC by volume method after K<sub>2</sub>CrO<sub>4</sub> digestion, and clay content by pipet method [<xref ref-type="bibr" rid="scirp.90637-ref1">1</xref>] .</p></sec><sec id="s2_3"><title>2.3. Data Processing, Modeling and Mapping</title><p>Microsoft Excel 2016 and IBM Statistics SPSS 20.0 were used for data processing, modeling and mapping.</p></sec></sec><sec id="s3"><title>3. Results</title><sec id="s3_1"><title>3.1. Statistical Information of Soil Indexes</title><p><xref ref-type="table" rid="table1">Table 1</xref> showed that soil pH<sub>KCl</sub> ranged from 2.41 to 6.51 for Guangxi and from 3.21 to 5.91 for Yunnan, with a mean of 4.27 for Guangxi and 4.20 for Yunnan, respectively, which prove further that the soils in South China are generally acid [<xref ref-type="bibr" rid="scirp.90637-ref10">10</xref>] [<xref ref-type="bibr" rid="scirp.90637-ref11">11</xref>] .</p><p>It is well known that pH<sub>KCl</sub> is lower than pH H 2 O because KCl could extract more Al<sup>3+</sup> from soil particles than water [<xref ref-type="bibr" rid="scirp.90637-ref1">1</xref>] , however, <xref ref-type="table" rid="table1">Table 1</xref> showed that the lower extents are different in different regions, for examples, pH<sub>KCl</sub> was 0.07 - 1.99 units with a mean of 0.99 units lower than pH H 2 O for Guangxi, while 0.03 - 1.90 units with a mean of 0.89 units lower than pH H 2 O for Yunnan.</p><p><xref ref-type="table" rid="table1">Table 1</xref> also showed that only pH H 2 O of Guangxi presented as normal distribution (&#177;0.1 &lt; skewness &lt; &#177;0.1), while pH H 2 O of Yunnan, pH<sub>KCl</sub> of Guangxi and Yunnan as extremely-skewed normal distribution (skewness &gt; &#177;0.3), The values of kurtoses of pH H 2 O and pH<sub>KCl</sub> of both Guangxi and Yunnan ranged from −0.44 to 0.42, indicating the probability density curves of pH H 2 O and pH<sub>KCl</sub> were very flat (kurtosis &lt; 0.67) [<xref ref-type="bibr" rid="scirp.90637-ref12">12</xref>] .</p></sec><sec id="s3_2"><title>3.2. Optimal Correlation Model between pH<sub>KCl</sub> and p H H 2 O</title><p>IBM Statistics SPSS 20.0 is used to find the optimal correlation between pH<sub>KCl</sub> and pH H 2 O . It can be seen from <xref ref-type="fig" rid="fig2">Figure 2</xref> that: 1) The values of R<sup>2</sup> showed again that there was significant positive correlation between pH<sub>KCl</sub> and pH H 2 O for both Guangxi and Yunnan (p &lt; 0.01). 2) The optimal correlation models were</p><table-wrap id="table1" ><label><xref ref-type="table" rid="table1">Table 1</xref></label><caption><title> Statistical information of measured soil pH<sub>KCl</sub> and pH H 2 O .<sub> </sub></title></caption><table><tbody><thead><tr><th align="center" valign="middle" >Region</th><th align="center" valign="middle" >Parameter</th><th align="center" valign="middle" >Minimum</th><th align="center" valign="middle" >Maximum</th><th align="center" valign="middle" >Mean</th><th align="center" valign="middle" >St. D</th><th align="center" valign="middle" >Skewness</th><th align="center" valign="middle" >Kurtosis</th></tr></thead><tr><td align="center" valign="middle" >Guangxi</td><td align="center" valign="middle" >pH H 2 O</td><td align="center" valign="middle" >2.77</td><td align="center" valign="middle" >6.99</td><td align="center" valign="middle" >5.16</td><td align="center" valign="middle" >0.82</td><td align="center" valign="middle" >0.01</td><td align="center" valign="middle" >−0.36</td></tr><tr><td align="center" valign="middle" >(n = 442)</td><td align="center" valign="middle" >pH<sub>KCl</sub></td><td align="center" valign="middle" >2.41</td><td align="center" valign="middle" >6.51</td><td align="center" valign="middle" >4.27</td><td align="center" valign="middle" >0.89</td><td align="center" valign="middle" >0.74</td><td align="center" valign="middle" >−0.44</td></tr><tr><td align="center" valign="middle" >Yunnan</td><td align="center" valign="middle" >pH H 2 O</td><td align="center" valign="middle" >4.01</td><td align="center" valign="middle" >6.93</td><td align="center" valign="middle" >5.19</td><td align="center" valign="middle" >0.60</td><td align="center" valign="middle" >0.68</td><td align="center" valign="middle" >−0.21</td></tr><tr><td align="center" valign="middle" >(n = 310)</td><td align="center" valign="middle" >pH<sub>KCl</sub></td><td align="center" valign="middle" >3.21</td><td align="center" valign="middle" >5.91</td><td align="center" valign="middle" >4.20</td><td align="center" valign="middle" >0.56</td><td align="center" valign="middle" >1.05</td><td align="center" valign="middle" >0.42</td></tr></tbody></table></table-wrap><p>different in Guangxi and Yunnan, quadratic model is found for Guangxi while exponential model for Yunnan, which may be attributed to the differences in climatic condition, soil types and land use types of the two regions. Values of MAE and RSME showed that the model accuracies were different in Guangxi and Yunnan, and the model accuracy is higher for Guangxi than Yunnan (<xref ref-type="fig" rid="fig3">Figure 3</xref>).</p></sec><sec id="s3_3"><title>3.3. p H H 2 O Threshold for pH<sub>KCl</sub> ≤ 4.0 or 4.5</title><p>It is our concern to know pH H 2 O corresponding to pH<sub>KCl</sub> ≤ 4.0 or 4.5, which is the threshold of Alice property or Alice evidence in soil taxonomy. It can be seen from <xref ref-type="table" rid="table2">Table 2</xref> that the estimated pH<sub>KCl</sub> would be most likely lower than 4.0 or 4.5 when the measured pH H 2 O ≤ 5.0 or 5.5 for a soil in south China judged from the optimal correlation models in <xref ref-type="fig" rid="fig2">Figure 2</xref>.</p><p>Here, pH H 2 O and pH<sub>KCl</sub> dada of 211horizons of 58 acid soil profiles surveyed from 2009 to 2010 in Guangdong were used to validate the proposed pH H 2 O threshold (≤5.0 or ≤5.5), the results showed that pH<sub>KCl</sub> was within 3.08 - 4.21 (n = 173, pH<sub>KCl</sub> of 98.6% soil samples lower than 4.0) and from 3.08 - 5.00 (n = 202, pH<sub>KCl</sub> of all soil samples lower than 4.5) with a mean of 3.67 or 3.74 respectively when pH H 2 O ≤ 5.5 or 5.0, indicating the proposed pH H 2 O thresholds are reliable.</p></sec><sec id="s3_4"><title>3.4. Contribution of Influential Factors to Soil pH</title><p><xref ref-type="table" rid="table3">Table 3</xref> showed the statistical information of values of pH<sub>KCl</sub>, clay, SOC, free Fe<sub>2</sub>O<sub>3</sub>, exchangeable H<sup>+</sup>, Al<sup>3+</sup> and base of 110 horizon samples of 30 soil profiles</p><table-wrap id="table2" ><label><xref ref-type="table" rid="table2">Table 2</xref></label><caption><title> pH H 2 O thresholds for pH<sub>KCl</sub> ≤ 4.5 or 4.0</title></caption><table><tbody><thead><tr><th align="center" valign="middle"  rowspan="2"  >pH<sub>KCl</sub></th><th align="center" valign="middle"  colspan="2"  >pH H 2 O</th></tr></thead><tr><td align="center" valign="middle" >Guangxi</td><td align="center" valign="middle" >Yunnan</td></tr><tr><td align="center" valign="middle" >≤4.5</td><td align="center" valign="middle" >5.51</td><td align="center" valign="middle" >5.60</td></tr><tr><td align="center" valign="middle" >≤4.0</td><td align="center" valign="middle" >5.02</td><td align="center" valign="middle" >4.97</td></tr></tbody></table></table-wrap><table-wrap id="table3" ><label><xref ref-type="table" rid="table3">Table 3</xref></label><caption><title> Statistics of basic properties of soil samples of Yunnan (n = 110)</title></caption><table><tbody><thead><tr><th align="center" valign="middle" >Soil indexes</th><th align="center" valign="middle" >pH<sub>KCl</sub></th><th align="center" valign="middle" >Clay g∙kg<sup>−1</sup></th><th align="center" valign="middle" >SOC g∙kg<sup>−1</sup></th><th align="center" valign="middle" >Free Fe<sub>2</sub>O<sub>3 </sub> g∙kg<sup>−1</sup></th><th align="center" valign="middle" >H<sup>+ </sup> cmol (+) kg<sup>−1</sup></th><th align="center" valign="middle" >Al<sup>3+ </sup> cmol (+) kg<sup>−1</sup></th><th align="center" valign="middle" >Exchangeable base cmol (+) kg<sup>−1</sup></th></tr></thead><tr><td align="center" valign="middle" >Mean</td><td align="center" valign="middle" >3.81</td><td align="center" valign="middle" >413</td><td align="center" valign="middle" >11.01</td><td align="center" valign="middle" >52.27</td><td align="center" valign="middle" >0.25</td><td align="center" valign="middle" >5.29</td><td align="center" valign="middle" >2.47</td></tr><tr><td align="center" valign="middle" >S.D.</td><td align="center" valign="middle" >0.22</td><td align="center" valign="middle" >102</td><td align="center" valign="middle" >8.85</td><td align="center" valign="middle" >29.50</td><td align="center" valign="middle" >0.41</td><td align="center" valign="middle" >2.93</td><td align="center" valign="middle" >2.14</td></tr></tbody></table></table-wrap><p>in Yunnan. <xref ref-type="table" rid="table4">Table 4</xref> showed Pearson correlation coefficients between pH<sub>KCl</sub> with other soil indexes. It can be seen that there were extremely significant correlations between pH<sub>KCl</sub> with exchangeable H<sup>+</sup> and Al<sup>3+</sup>, while significant correlation between pH<sub>KCl</sub> with exchangeable base, which indicate that exchangeable Al<sup>3+</sup>, H<sup>+</sup> and base are the influential factors of soil pH, and their optimal correlation models with pH<sub>KCl</sub> were all in quadratic form (see <xref ref-type="table" rid="table3">Table 3</xref> and <xref ref-type="fig" rid="fig4">Figure 4</xref>).</p><p>The linear regression model between pH<sub>KCl</sub> with exchangeable Al<sup>3+</sup>, H<sup>+</sup> and base was obtained by using IBM Statistics SPSS 20.0 as pH<sub>KCl</sub> = 4.087 − 0.448H<sup>+</sup> − 0.042Al<sup>3+</sup> − 0.001 Base (R = 0.764, R<sup>2</sup> = 0.583, F = 49.41, p &lt; 0.01), which could be simplified as pH<sub>KCl</sub> = 4.087 − 0.448H<sup>+</sup> − 0.042Al<sup>3+</sup> since the exchangeable base could be neglected.<sup> </sup></p><p>The linear regression model between pH<sub>KCl</sub> with the normalized exchangeable H<sup>+</sup> and Al<sup>3+</sup> was obtained as pH<sub>KCl</sub> = 4.064 − 0.211H<sup>+</sup> − 0.522 Al<sup>3+</sup> (R = 0.763, R<sup>2</sup> = 0.581, F = 49.08, p &lt; 0.01). The contribution of Al<sup>3+</sup> and H<sup>+</sup> to pH<sub>KCl</sub> were 71.1% and 28.7% after normalizing the coefficients of Al<sup>3+</sup> and H<sup>+</sup>, which indicate further pH<sub>KCl</sub> is mainly dominated by exchangeable Al<sup>3+</sup>, followed by exchangeable H<sup>+</sup> [<xref ref-type="bibr" rid="scirp.90637-ref4">4</xref>] - [<xref ref-type="bibr" rid="scirp.90637-ref9">9</xref>] .</p><table-wrap id="table4" ><label><xref ref-type="table" rid="table4">Table 4</xref></label><caption><title> Pearson correlation coefficients between pH<sub>KCl</sub> and other indexes (n = 110)</title></caption><table><tbody><thead><tr><th align="center" valign="middle" >Soil indexes</th><th align="center" valign="middle" >Clay</th><th align="center" valign="middle" >SOC</th><th align="center" valign="middle" >H<sup>+</sup></th><th align="center" valign="middle" >Al<sup>3+</sup></th><th align="center" valign="middle" >BS</th><th align="center" valign="middle" >Free Fe<sub>2</sub>O<sub>3</sub></th></tr></thead><tr><td align="center" valign="middle" >pH<sub>KCl</sub></td><td align="center" valign="middle" >0.011</td><td align="center" valign="middle" >−0.048</td><td align="center" valign="middle" >−0.487**</td><td align="center" valign="middle" >−0.716**</td><td align="center" valign="middle" >0.194*</td><td align="center" valign="middle" >0.117</td></tr></tbody></table></table-wrap><p>**Significant at 0.01 level, *Significant at 0.05 level.</p></sec><sec id="s3_5"><title>3.5. Discussion</title><p>Soil acidification is a natural process in tropical and subtropical regions due to higher rate of weathering and leaching under hot and humid climatic conditions [<xref ref-type="bibr" rid="scirp.90637-ref13">13</xref>] [<xref ref-type="bibr" rid="scirp.90637-ref14">14</xref>] [<xref ref-type="bibr" rid="scirp.90637-ref15">15</xref>] , it is accelerated greatly due to acidic deposition and excess application of acid fertilizer in agricultural system [<xref ref-type="bibr" rid="scirp.90637-ref16">16</xref>] [<xref ref-type="bibr" rid="scirp.90637-ref17">17</xref>] [<xref ref-type="bibr" rid="scirp.90637-ref18">18</xref>] [<xref ref-type="bibr" rid="scirp.90637-ref19">19</xref>] . Our data showed that soil pH<sub>KCl</sub> ranged from 2.41 to 6.51 for Guangxi and from 3.21 to 5.91 for Yunnan, which proves further that the soils in South China are generally acid [<xref ref-type="bibr" rid="scirp.90637-ref6">6</xref>] [<xref ref-type="bibr" rid="scirp.90637-ref10">10</xref>] [<xref ref-type="bibr" rid="scirp.90637-ref11">11</xref>] .</p><p>Although it is well known that pH<sub>KCl</sub> certainly has inner relation with pH H 2 O , so far there is no quantitative model between the two indexes. Our study not only proved further the quantitative relation between pH<sub>KCl</sub> and pH H 2 O , but also established the correlation models and further found that the correlation models are different in different regions, it is useful to predict soil pH<sub>KCl</sub> directly from pH H 2 O when there is no available information of pH<sub>KCl</sub> or to save time and cost for a massive measurement in the laboratory.</p><p>Our study found the optimal correlation models between soil pH and exchangeable Al<sup>3+</sup> and H<sup>+</sup> are in quadratic form, other studies showed the optimal correlation models between soil pH and exchangeable acid are different, which include power [<xref ref-type="bibr" rid="scirp.90637-ref8">8</xref>] or quadratic forms [<xref ref-type="bibr" rid="scirp.90637-ref9">9</xref>] . Different optimal models may be attributed to the differences in climatic conditions, soil types and land use types for the different studied regions.</p><p>Studies already proved that the main form of exchangeable acidity is found in the form of exchangeable Al<sup>3+</sup> in acid soils and disclosed the mechanism of soil acidification [<xref ref-type="bibr" rid="scirp.90637-ref6">6</xref>] [<xref ref-type="bibr" rid="scirp.90637-ref19">19</xref>] [<xref ref-type="bibr" rid="scirp.90637-ref20">20</xref>] [<xref ref-type="bibr" rid="scirp.90637-ref21">21</xref>] [<xref ref-type="bibr" rid="scirp.90637-ref22">22</xref>] . Our study showed that the content of Al<sup>3+</sup> of soil samples in Yunnan were 5.29 &#177; 2.93 cmol (+) kg<sup>−1</sup>, higher than H<sup>+</sup>, which was 0.25 &#177; 0.41 cmol (+) kg<sup>−1</sup>, meanwhile, exchangeable Al<sup>3+</sup> has more significant correlation (R<sup>2</sup> = 0.716) with soil pH compared with exchangeable H<sup>+</sup> (R<sup>2</sup> = 0.487), Thus, it is normal that exchangeable Al<sup>3+</sup>contributes more (71.1%) to soil pH compared to exchangeable H<sup>+</sup> (28.7%).</p></sec></sec><sec id="s4"><title>4. Conclusion</title><p>By using the database of soil properties of Guangxi and Yunnan, this study discloses that pH<sub>KCl</sub> is meanly 1.0 unit lower than pH H 2 O . There is significant positive correlation between pH<sub>KCl</sub> and pH H 2 O , but the optimal correlation models are in quadratic or exponential forms for different regions. There are significant negative correlations between pH<sub>KCl</sub> with exchangeable H<sup>+</sup> and Al<sup>3+</sup>, and exchangeable Al<sup>3+</sup> and H<sup>+</sup> contribute 71.1% and 28.7% to soil pH, respectively.</p></sec><sec id="s5"><title>Acknowledgements</title><p>This study was supported by projects of the National Natural Science Foundation of China (Grant No. 41877008) and the National S &amp; T Basic Special Foundation Project (No. 2014FY110200). We would like to express thanks to the contribution from all the participants in field soil survey and laboratory work.</p></sec><sec id="s6"><title>Conflicts of Interest</title><p>The authors declare no conflicts of interest regarding the publication of this paper.</p></sec><sec id="s7"><title>Cite this paper</title><p>Wang, A.Q., Li, D.C., Huang, B. and Lu, Y. (2019) A Brief Study on Using to Predict pH<sub>KCl</sub> for Acid Soils. 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