<?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">
    acs
   </journal-id>
   <journal-title-group>
    <journal-title>
     Atmospheric and Climate Sciences
    </journal-title>
   </journal-title-group>
   <issn pub-type="epub">
    2160-0414
   </issn>
   <issn publication-format="print">
    2160-0422
   </issn>
   <publisher>
    <publisher-name>
     Scientific Research Publishing
    </publisher-name>
   </publisher>
  </journal-meta>
  <article-meta>
   <article-id pub-id-type="doi">
    10.4236/acs.2025.152023
   </article-id>
   <article-id pub-id-type="publisher-id">
    acs-142122
   </article-id>
   <article-categories>
    <subj-group subj-group-type="heading">
     <subject>
      Articles
     </subject>
    </subj-group>
    <subj-group subj-group-type="Discipline-v2">
     <subject>
      Earth 
     </subject>
     <subject>
       Environmental Sciences
     </subject>
    </subj-group>
   </article-categories>
   <title-group>
    Difficulties in Reducing Atmospheric CO
    <sub>2</sub> Concentrations during the Modern Warm Period
   </title-group>
   <contrib-group>
    <contrib contrib-type="author" xlink:type="simple">
     <name name-style="western">
      <surname>
       Masaharu
      </surname>
      <given-names>
       Nishioka
      </given-names>
     </name>
    </contrib>
   </contrib-group> 
   <aff id="affnull">
    <addr-line>
     aRetired, Chicago, IL, USA
    </addr-line> 
   </aff> 
   <pub-date pub-type="epub">
    <day>
     07
    </day> 
    <month>
     02
    </month>
    <year>
     2025
    </year>
   </pub-date> 
   <volume>
    15
   </volume> 
   <issue>
    02
   </issue>
   <fpage>
    451
   </fpage>
   <lpage>
    461
   </lpage>
   <history>
    <date date-type="received">
     <day>
      29,
     </day>
     <month>
      March
     </month>
     <year>
      2025
     </year>
    </date>
    <date date-type="published">
     <day>
      19,
     </day>
     <month>
      March
     </month>
     <year>
      2025
     </year> 
    </date> 
    <date date-type="accepted">
     <day>
      19,
     </day>
     <month>
      April
     </month>
     <year>
      2025
     </year> 
    </date>
   </history>
   <permissions>
    <copyright-statement>
     © 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>
    According to the IPCC, when anthropogenic CO
    <sub>2</sub> emissions increase, the atmospheric CO
    <sub>2</sub> concentration increases, and the temperature increases due to the greenhouse effect of CO
    <sub>2</sub>. In the mechanism derived in our recent papers, the rise in temperature during the modern warm period increases CO
    <sub>2</sub> emissions due to an increase in soil respiration (Rs control process). The CO
    <sub>2</sub> emitted due to an increase in temperature can be considered thermally induced CO
    <sub>2</sub>. Therefore, although there is a correlation between temperature and CO
    <sub>2</sub> concentration, there is a temperature-leading time lag due to the Rs control process. In this work, we analyzed the relationships between temperature changes and CO
    <sub>2</sub> concentration changes in detail. As a result, we found that even if anthropogenic CO
    <sub>2</sub> decreases, it is difficult to reduce the atmospheric CO
    <sub>2</sub> concentration because of the large Rs control process during the modern warm period. One of the main reasons is that the Rs control process in midlatitude forests is significantly affected by temperature changes, which also means that the increase in anthropogenic CO
    <sub>2</sub> since the Industrial Revolution has had only a small effect on the change in global CO
    <sub>2</sub> concentrations.
   </abstract>
   <kwd-group> 
    <kwd>
     Global Warming
    </kwd> 
    <kwd>
      Global CO
     <sub>2</sub>
    </kwd> 
    <kwd>
      Anthropogenic CO
     <sub>2</sub>
    </kwd> 
    <kwd>
      Thermally Induced CO
     <sub>2</sub>
    </kwd> 
    <kwd>
      Soil Respiration
    </kwd> 
    <kwd>
      Cross-Correlation
    </kwd> 
    <kwd>
      Time Lag
    </kwd> 
    <kwd>
      El Niño
    </kwd>
   </kwd-group>
  </article-meta>
 </front>
 <body>
  <sec id="s1">
   <title>1. Introduction</title>
   <p>The global temperature started to rise after the Little Ice Age of the 19th century <xref ref-type="bibr" rid="scirp.142122-1">
     [1]
    </xref>. Compared with the Little Ice Age, the present day may be called a modern warm period. Additionally, atmospheric CO<sub>2</sub> has risen simultaneously, although direct measurements of CO<sub>2</sub> were limited before 1958 <xref ref-type="bibr" rid="scirp.142122-2">
     [2]
    </xref>. There is a relationship between the change rate of the CO<sub>2</sub> concentration (drco<sub>2</sub>/dt, where rco<sub>2</sub> = CO<sub>2</sub> concentration, t = time) and the change in global temperature (ΔT), as shown in Equation (1), but with a temperature-leading time lag <xref ref-type="bibr" rid="scirp.142122-3">
     [3]
    </xref>.</p>
   <p>drco<sub>2</sub>/dt = γΔT (γ: a constant)(1)</p>
   <p>The time lag is approximately 0.5 - 1 year.</p>
   <p>The relationship between the global temperature and CO<sub>2</sub> concentration has been investigated <xref ref-type="bibr" rid="scirp.142122-3">
     [3]
    </xref>-<xref ref-type="bibr" rid="scirp.142122-6">
     [6]
    </xref>. On the basis of Equation (1), a cross-correlation between drco<sub>2</sub>/dt and ΔT with a temperature-leading time lag was found <xref ref-type="bibr" rid="scirp.142122-6">
     [6]
    </xref>, where a correlation coefficient r can be defined as follows (x = drco<sub>2</sub>/dt and y = ΔT):</p>
   <p>
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    </math>(2)</p>
   <p>The satellite-based 13-month average of the temperature anomaly and the annual average of the rate of CO<sub>2</sub> increase corresponding to Equation (1) are correlated over 40 years, as reported in a previous paper <xref ref-type="bibr" rid="scirp.142122-3">
     [3]
    </xref>. Its correlation coefficient, r, was 0.73, and the correlation was relatively good <xref ref-type="bibr" rid="scirp.142122-6">
     [6]
    </xref>. A detailed analysis indicated that the temperature-leading time lag was 5 months <xref ref-type="bibr" rid="scirp.142122-6">
     [6]
    </xref>.</p>
   <p>An increase in global temperature, an increase in soil respiration (Rs), and a subsequent increase in global CO<sub>2</sub> emissions were recognized in our papers <xref ref-type="bibr" rid="scirp.142122-4">
     [4]
    </xref> <xref ref-type="bibr" rid="scirp.142122-5">
     [5]
    </xref>. In other words, as the temperature increases, thermally induced CO<sub>2</sub> is emitted, and the CO<sub>2</sub> concentration increases <xref ref-type="bibr" rid="scirp.142122-5">
     [5]
    </xref>. This natural process can be clearly detected during periods of increasing temperature, specifically during El Niño events. <xref ref-type="fig" rid="fig1">
     Figure 1
    </xref> summarizes the Rs control process for global warming. In the mechanism based on the Rs control process, the increase in temperature during the modern warm period increases CO<sub>2</sub> emissions because of an increase in Rs. The emitted CO<sub>2</sub> can be considered thermally induced CO<sub>2</sub> <xref ref-type="bibr" rid="scirp.142122-5">
     [5]
    </xref>. As a result, the CO<sub>2</sub> concentration in the atmosphere increases. Although there is a cross-correlation between temperature and CO<sub>2</sub> concentration, a temperature-leading time lag is observed because it is a process mediated by Rs. However, according to the Intergovernmental Panel on Climate Change (IPCC) under the United Nations, as anthropogenic CO<sub>2</sub> emissions increase, the CO<sub>2</sub> concentration in the atmosphere increases, and the atmospheric temperature increases due to the greenhouse effect of CO<sub>2</sub> <xref ref-type="bibr" rid="scirp.142122-7">
     [7]
    </xref>, even though anthropogenic CO<sub>2</sub> is a minor constituent of global CO<sub>2</sub>. The IPCC model may predict a CO<sub>2</sub>-leading time lag if there is a cross-correlation between the CO<sub>2</sub> concentration and temperature. Therefore, our recent results cast strong doubts that anthropogenic CO<sub>2</sub> is the cause of global warming.</p>
   <p>Tropical rainforests account for 6% - 7% of the Earth’s land surface, whereas temperate rainforests account for only 0.2% - 0.3%. However, deciduous and coniferous forests each occupy more than 10% of the Earth’s land surface, and if forests in subtropical regions are included, these forests account for approximately 30% of the Earth’s land area <xref ref-type="bibr" rid="scirp.142122-8">
     [8]
    </xref> <xref ref-type="bibr" rid="scirp.142122-9">
     [9]
    </xref>. Since the temperature in midlatitude</p>
   <fig id="fig1" position="float">
    <label>Figure 1</label>
    <caption>
     <title>Figure 1. Rs controls the increase in atmospheric CO<sub>2</sub> during the modern warm period.</title>
    </caption>
    <graphic mimetype="image" position="float" xlink:type="simple" xlink:href="https://html.scirp.org/file/4701337-rId19.jpeg?20250423101854" />
   </fig>
   <p>forests changes seasonally in contrast to the temperature in tropical rainforests, soil respiration in midlatitude forests changes seasonally depending on changes in the annual temperature. Additionally, an increase in global temperature affects the degree of soil respiration in midlatitude forests rather than in tropical rainforests. Soil respiration emits a large amount of CO<sub>2</sub> that exceeds anthropogenic CO<sub>2</sub> emissions, and an increase in CO<sub>2</sub> emissions due to an increase in temperature during the modern warm period must be significant.</p>
   <p>For these reasons, soil respiration in midlatitude forests is highly dependent on temperature changes during the modern warm period and may play a significant role in controlling atmospheric CO<sub>2</sub> concentrations. Compared with that in the tropics, the rate of change in the CO<sub>2</sub> concentration at midlatitudes (≒ 50 N) significantly responds to temperature changes <xref ref-type="bibr" rid="scirp.142122-4">
     [4]
    </xref>. The temperature difference between land and sea areas is greater in the north (20 N - 90 N) than in the south (20S - 90S) <xref ref-type="bibr" rid="scirp.142122-4">
     [4]
    </xref>. These results support the critical role of soil respiration in midlatitude forests. For example, the Pacific temperate rainforest is located between No. California and S. Alaska along the Pacific Ocean. The region of Olympic National Park has approximately 3500 mm/year of precipitation (see <xref ref-type="fig" rid="fig2">
     Figure 2
    </xref>). CO<sub>2</sub> emission by soil respiration from forests is significant.</p>
   <fig id="fig2" position="float">
    <label>Figure 2</label>
    <caption>
     <title>Figure 2. Temperate forests in Olympic National Park, WA (USA) (photographed by the author, March 4, 2025).</title>
    </caption>
    <graphic mimetype="image" position="float" xlink:type="simple" xlink:href="https://html.scirp.org/file/4701337-rId20.jpeg?20250423101853" />
   </fig>
   <p>The United Nations and each government have begun to take the initiative to reduce anthropogenic CO<sub>2</sub> emissions to prevent global warming. This raises the question of whether reducing anthropogenic CO<sub>2</sub> emissions actually decrease the global CO<sub>2</sub> concentration. This question is investigated in this paper.</p>
  </sec><sec id="s2">
   <title>2. Global Data</title>
   <p>Atmospheric CO<sub>2</sub> concentrations are reported by the National Oceanic and Atmospheric Administration (NOAA). Further details are available on their website <xref ref-type="bibr" rid="scirp.142122-10">
     [10]
    </xref>. The annual emission of anthropogenic carbon was determined according to Boden et al. <xref ref-type="bibr" rid="scirp.142122-11">
     [11]
    </xref>. The global carbon budget of the IPCC <xref ref-type="bibr" rid="scirp.142122-12">
     [12]
    </xref> was also used.</p>
   <p>The temperature datasets were obtained from the University of Alabama in Huntsville (UAH), and the 13-month average of the lower troposphere anomaly values was used <xref ref-type="bibr" rid="scirp.142122-13">
     [13]
    </xref>.</p>
  </sec><sec id="s3">
   <title>3. Results and Discussion</title>
   <p>The change rate of the CO<sub>2</sub> concentration has been the focus of our previous papers <xref ref-type="bibr" rid="scirp.142122-3">
     [3]
    </xref>-<xref ref-type="bibr" rid="scirp.142122-6">
     [6]
    </xref>. In this paper, temporal changes in global CO<sub>2</sub> concentrations are the focus. <xref ref-type="fig" rid="fig3">
     Figure 3
    </xref> shows the changes in atmospheric CO<sub>2</sub> and satellite-based temperature anomalies between 1979 and 2023. The CO<sub>2</sub> concentrations in <xref ref-type="fig" rid="fig3">
     Figure 3
    </xref> are de-seasonalized values representing the long-term trend reported by NOAA <xref ref-type="bibr" rid="scirp.142122-10">
     [10]
    </xref>. The atmospheric CO<sub>2</sub> concentrations and global temperature anomalies are correlated, with r = 0.81. Notably, the small inflection points, a-j, in the temporal change in CO<sub>2</sub> concentrations correspond to ENSO events <xref ref-type="bibr" rid="scirp.142122-3">
     [3]
    </xref>. The changes in CO<sub>2</sub> concentrations around the inflection points are small for La Niña events, whereas the changes in CO<sub>2</sub> concentrations are greater for El Niño events. <xref ref-type="fig" rid="fig4">
     Figure 4
    </xref> shows examples of inflection points, c and d, which represent changes in CO<sub>2</sub> concentrations. The inflection point c corresponds to La Niña, and the CO<sub>2</sub> concentration shows a small change, whereas the inflection point d corresponds to El Niño, and the CO<sub>2</sub> concentration shows a great change.</p>
   <fig id="fig3" position="float">
    <label>Figure 3</label>
    <caption>
     <title>Figure 3. Temporal changes in atmospheric CO<sub>2</sub> and temperature anomalies (a-j on the CO<sub>2</sub> curve denote inflection points, correlation coefficient r = 0.8148, CO<sub>2</sub> data: <xref ref-type="bibr" rid="scirp.142122-10">
       [10]
      </xref>, temperature data: <xref ref-type="bibr" rid="scirp.142122-13">
       [13]
      </xref>).</title>
    </caption>
    <graphic mimetype="image" position="float" xlink:type="simple" xlink:href="https://html.scirp.org/file/4701337-rId21.jpeg?20250423101855" />
   </fig>
   <fig id="fig4" position="float">
    <label>Figure 4</label>
    <caption>
     <title>(a) (b)Figure 4. Changes in atmospheric CO<sub>2</sub> around inflection points c and d in <xref ref-type="fig" rid="fig3">
       Figure 3
      </xref>.</title>
    </caption>
    <graphic mimetype="image" position="float" xlink:type="simple" xlink:href="" />
   </fig>
   <fig id="fig4" position="float">
    <label>Figure 4</label>
    <caption>
     <title>(a) (b)Figure 4. Changes in atmospheric CO<sub>2</sub> around inflection points c and d in <xref ref-type="fig" rid="fig3">
       Figure 3
      </xref>.</title>
    </caption>
    <graphic mimetype="image" position="float" xlink:type="simple" xlink:href="https://html.scirp.org/file/4701337-rId22.jpeg?20250423101855" />
   </fig>
   <fig id="fig4" position="float">
    <label>Figure 4</label>
    <caption>
     <title>(a) (b)Figure 4. Changes in atmospheric CO<sub>2</sub> around inflection points c and d in <xref ref-type="fig" rid="fig3">
       Figure 3
      </xref>.</title>
    </caption>
    <graphic mimetype="image" position="float" xlink:type="simple" xlink:href="https://html.scirp.org/file/4701337-rId23.jpeg?20250423101855" />
   </fig>
   <p>Figure 4. Changes in atmospheric CO<sub>2</sub> around inflection points c and d in <xref ref-type="fig" rid="fig3">
     Figure 3
    </xref>.</p>
   <p>In the Rs control process summarized in <xref ref-type="fig" rid="fig1">
     Figure 1
    </xref>, the increase in temperature due to the modern warm period increases CO<sub>2</sub> emissions because of an increase in Rs. The emitted CO<sub>2</sub> can be considered thermally induced CO<sub>2</sub>. As a result, the CO<sub>2</sub> concentration in the atmosphere increases. For a short period, similar natural processes can be detected during El Niño and La Niña events. The inflection points of temporal changes in CO<sub>2</sub> concentrations demonstrate that ENSO events change temperature, followed by changes in CO<sub>2</sub> <xref ref-type="bibr" rid="scirp.142122-3">
     [3]
    </xref> <xref ref-type="bibr" rid="scirp.142122-4">
     [4]
    </xref>.</p>
   <p>The same temporal changes in atmospheric CO<sub>2</sub> and satellite-based temperature anomalies are shown in <xref ref-type="fig" rid="fig5">
     Figure 5
    </xref> to compare the rates of acceleration between the two. The red solid line represents a linear regression of the temperature anomaly, (temperature) = 0.01438 × (year) − 28.83. The regression line indicates that the rate of increase in temperature is 0.1438˚C/decade. Notably, the atmospheric CO<sub>2</sub> concentration increases with time, but the rate of increase is greater than the rate of increase in temperature. Next, the change rate of the CO<sub>2</sub> concentration over 10 years was analyzed to determine the trend of changes in CO<sub>2</sub> over a long time range. <xref ref-type="fig" rid="fig6">
     Figure 6
    </xref> shows the averages of increased annual CO<sub>2</sub> over ten years between 1970 and 2020, for example, (a value of CO<sub>2</sub> concentration in 1970 − a value of CO<sub>2</sub> concentration in 1960)/10. The increase in annual CO<sub>2</sub> over ten years is not constant but rather has increased over time or accelerated. If atmospheric CO<sub>2</sub> concentrations increase, followed by an increase in the global temperature, the global temperature may show a similar change to the accelerated increase in CO<sub>2</sub>. However, the global temperature increases as a linear function, and no acceleration is observed.</p>
   <p>The acceleration of the increase in CO<sub>2</sub> concentration is critical in predicting future CO<sub>2</sub> during the modern warm period. As described later, anthropogenic CO<sub>2</sub> is a small proportion of the total carbon cycle budget, so even if a small portion of anthropogenic CO<sub>2</sub> is partially reduced, the decrease in CO<sub>2</sub> concentration may be difficult because of this acceleration of the CO<sub>2</sub> concentration.</p>
   <p>
    <xref ref-type="fig" rid="fig7">
     Figure 7
    </xref> shows the annual emissions of anthropogenic carbon <xref ref-type="bibr" rid="scirp.142122-11">
     [11]
    </xref>. The emission increases approximately linearly and shows no acceleration. Additionally, the global CO<sub>2</sub> in <xref ref-type="fig" rid="fig3">
     Figure 3
    </xref> has no effect on the CO<sub>2</sub> corresponding to inflection points a, b, and c in <xref ref-type="fig" rid="fig7">
     Figure 7
    </xref>. The annual emission of anthropogenic carbon from 1960 and 2020 was 2 - 10 PgC (or GtC). The unit conversion from PgC (or GtC) to ppm can be calculated via Equation (3) <xref ref-type="bibr" rid="scirp.142122-14">
     [14]
    </xref>:</p>
   <p>(x<sub>1</sub> GtC × 3.67/44)/(5135 Eg/28.9) = x<sub>2</sub> ppm (3)</p>
   <fig id="fig5" position="float">
    <label>Figure 5</label>
    <caption>
     <title>Figure 5. Comparison of rate accelerations between temporal changes in atmospheric CO<sub>2</sub> and temperature anomalies. The red solid line shows a linear regression of the temperature anomaly ((temperature) = 0.01438 × (year) − 28.83, which corresponds to an increasing rate of temperature = 0.1438˚C/decade).</title>
    </caption>
    <graphic mimetype="image" position="float" xlink:type="simple" xlink:href="https://html.scirp.org/file/4701337-rId24.jpeg?20250423101855" />
   </fig>
   <fig id="fig6" position="float">
    <label>Figure 6</label>
    <caption>
     <title>Figure 6. The average increase in annual CO<sub>2</sub> over ten years between 1970 and 2020.</title>
    </caption>
    <graphic mimetype="image" position="float" xlink:type="simple" xlink:href="https://html.scirp.org/file/4701337-rId25.jpeg?20250423101855" />
   </fig>
   <fig id="fig7" position="float">
    <label>Figure 7</label>
    <caption>
     <title>Figure 7. Annual emission of anthropogenic carbon (Carbon = 0.1248 × (year) – 242 <xref ref-type="bibr" rid="scirp.142122-11">
       [11]
      </xref>).</title>
    </caption>
    <graphic mimetype="image" position="float" xlink:type="simple" xlink:href="https://html.scirp.org/file/4701337-rId26.jpeg?20250423101855" />
   </fig>
   <p>x<sub>1</sub> and x<sub>2</sub>: variables, 3.67: a conversion factor from carbon to CO<sub>2</sub>, 44: molecular mass of CO<sub>2</sub>, 28.9: molecular mass of air, 5135 Eg: air mass on earth.</p>
   <p>Therefore, 2 - 10 PgC/year is equivalent to 1 - 5 ppm/year. Additionally, according to the IPCC carbon cycle, CO<sub>2</sub> emissions from fossil fuels are 7.8 GtC (or 3.9 ppm) <xref ref-type="bibr" rid="scirp.142122-12">
     [12]
    </xref>. These CO<sub>2</sub> amounts are too small compared with the change in atmospheric CO<sub>2</sub> concentrations (330 - 430 ppm) shown in <xref ref-type="fig" rid="fig5">
     Figure 5
    </xref>. Since the residence time of atmospheric CO<sub>2</sub> can be estimated to be 3 - 4 years <xref ref-type="bibr" rid="scirp.142122-4">
     [4]
    </xref> <xref ref-type="bibr" rid="scirp.142122-14">
     [14]
    </xref>, anthropogenic CO<sub>2</sub> does not accumulate in the atmosphere for a long period of time. For these reasons, anthropogenic CO<sub>2</sub> does not significantly affect global CO<sub>2</sub> concentrations.</p>
   <p>Since Rs increases exponentially with temperature <xref ref-type="bibr" rid="scirp.142122-15">
     [15]
    </xref>, it is assumed that CO<sub>2</sub> thermally induced via Rs follows a first-order reaction rate, as shown in Equation (4).</p>
   <p>k = α·exp(−β/T)(4)</p>
   <p>k: reaction rate constant, T: temperature, α and β: constants.</p>
   <p>
    <xref ref-type="fig" rid="fig8">
     Figure 8
    </xref> shows a hypothetical chart showing the temperature (or time) dependence of atmospheric CO<sub>2</sub>. As shown in <xref ref-type="fig" rid="fig5">
     Figure 5
    </xref>, the temperature changes linearly with time, so the x-axis can be replaced with time. The hypothetical chart is similar to the change in CO<sub>2</sub> with time in <xref ref-type="fig" rid="fig5">
     Figure 5
    </xref>. This assumption may explain the accelerated increase in CO<sub>2</sub> concentrations during the modern warm period.</p>
   <fig id="fig8" position="float">
    <label>Figure 8</label>
    <caption>
     <title>Figure 8. A hypothetical chart showing the temperature (or time) dependence of the temporal change in atmospheric CO<sub>2</sub>, assuming a first-order reaction rate for Rs. Compared with <xref ref-type="fig" rid="fig3">
       Figure 3
      </xref> and <xref ref-type="fig" rid="fig5">
       Figure 5
      </xref>.</title>
    </caption>
    <graphic mimetype="image" position="float" xlink:type="simple" xlink:href="https://html.scirp.org/file/4701337-rId27.jpeg?20250423101855" />
   </fig>
   <p>As shown in Equation (1), there is a relationship between the change rate of the CO<sub>2</sub> concentration (drco<sub>2</sub>/dt) and the change in global temperature (ΔT). To examine the response of the change rate of the CO<sub>2</sub> concentration to temperature changes at various latitudes, two variables were compared between 1979 and 2022 in the tropics, at northern latitudes, and at southern latitudes, as reported in a previous paper <xref ref-type="bibr" rid="scirp.142122-3">
     [3]
    </xref>. Although ΔT in the tropics strongly responds to El Niño, drco<sub>2</sub>/dt at northern latitudes responds more strongly to ΔT than does that in the tropics. Therefore, the temperature dependence of the temporal change in atmospheric CO<sub>2</sub> may be greater at northern latitudes than in the tropics. In other words, changes in Rs with temperature at northern latitudes are more important than those in the tropics in controlling atmospheric CO<sub>2</sub>.</p>
   <p>Anthropogenic CO<sub>2</sub> emissions constitute only ~4% of the global CO<sub>2</sub> cycles, as discussed above. The anthropogenic CO<sub>2</sub> emissions and other CO<sub>2</sub> origins of the global CO<sub>2</sub> cycle budget are shown in <xref ref-type="fig" rid="fig9">
     Figure 9
    </xref>. Notably, anthropogenic CO<sub>2</sub> emissions contribute too little to affecting the global CO<sub>2</sub> concentration. Furthermore, no sign of a reduction in atmospheric CO<sub>2</sub> concentrations is observed, regardless of an effort to reduce anthropogenic CO<sub>2</sub> emissions, as shown in <xref ref-type="fig" rid="fig5">
     Figure 5
    </xref>. Additionally, this means that an increase in anthropogenic CO<sub>2</sub> since the Industrial Revolution has contributed too little to affect the global CO<sub>2</sub> concentration.</p>
   <fig id="fig9" position="float">
    <label>Figure 9</label>
    <caption>
     <title>Figure 9. Ratios of CO<sub>2 </sub>origins in atmospheric CO<sub>2</sub> based on the global carbon budget by the IPCC <xref ref-type="bibr" rid="scirp.142122-12">
       [12]
      </xref>.</title>
    </caption>
    <graphic mimetype="image" position="float" xlink:type="simple" xlink:href="https://html.scirp.org/file/4701337-rId28.jpeg?20250423101855" />
   </fig>
   <p>The plants that abound on Earth are produced through photosynthesis. The amount on Earth is enormous, and according to IPCC assessments, Rs is estimated to be involved in approximately half of the carbon cycle on Earth, as shown in <xref ref-type="fig" rid="fig9">
     Figure 9
    </xref>. When the global CO<sub>2</sub> or carbon cycle is in balance, the same number of plants synthesized are decomposed through “soil respiration” and returned to CO<sub>2</sub>. Therefore, the quantitative role of “soil respiration” in the carbon cycle on Earth far exceeds that of anthropogenic CO<sub>2</sub> emissions <xref ref-type="bibr" rid="scirp.142122-4">
     [4]
    </xref>.</p>
   <p>As described in the introduction, midlatitude forests cover approximately 30% of the Earth’s land area <xref ref-type="bibr" rid="scirp.142122-8">
     [8]
    </xref> <xref ref-type="bibr" rid="scirp.142122-9">
     [9]
    </xref>. Because the temperature of midlatitude forests varies seasonally, in contrast to that of tropical rainforests, soil respiration in midlatitude forests varies seasonally in response to changes in annual temperature. Thus, increasing global temperatures affect the extent of soil respiration in midlatitude forests more than they do in tropical rainforests. Therefore, the global Rs control process is highly dependent on temperature, and during the modern warm period, atmospheric CO<sub>2</sub> concentrations continue to increase and are difficult to reduce. Even if anthropogenic CO<sub>2</sub> is changed by human activities, atmospheric CO<sub>2</sub> will not change significantly.</p>
   <p>The Little Ice Age lasted until the mid-18th century <xref ref-type="bibr" rid="scirp.142122-1">
     [1]
    </xref>. The Mendenhall Glacier near Juneau, AK, is an example of a receding glacier after the Little Ice Age. The Glacier started retreating in the mid-1700s before the rapid development of the Industrial Revolution <xref ref-type="bibr" rid="scirp.142122-16">
     [16]
    </xref>. The amount of thermally induced CO<sub>2</sub> may have started to increase before the Industrial Revolution. It is doubtful that anthropogenic CO<sub>2</sub> increased at the beginning of the Industrial Revolution, after which the global temperature simultaneously increased.</p>
   <p>Hermann Harde <xref ref-type="bibr" rid="scirp.142122-17">
     [17]
    </xref> reported that the increase in CO<sub>2</sub> over recent years can be explained well by a single balance equation, which considers the total atmospheric CO<sub>2</sub> cycle. It comprises temperature-dependent natural emissions and uptake processes and human activities. This uptake is characterized by a single time scale, with a residence time of approximately 3 years. For a conservative assessment, he reported that the anthropogenic contribution to the observed CO<sub>2</sub> increase over the Industrial Era was significantly less than the natural influence. On average, between 2007 and 2016, anthropogenic emissions contributed no more than 4.3% to the total concentration. He noted that not anthropogenic emissions but rather natural processes, particularly temperature, have to be considered the dominant impacts for the observed CO<sub>2</sub> increase over the last 270 years. His analysis correlates well with our results in this paper.</p>
   <p>To consider how to control the concentration of CO<sub>2</sub> in the atmosphere, our recent results <xref ref-type="bibr" rid="scirp.142122-3">
     [3]
    </xref>-<xref ref-type="bibr" rid="scirp.142122-6">
     [6]
    </xref> and the results from this work are summarized here.</p>
   <p>1) Changes in temperature and CO<sub>2</sub> are correlated, but temperature leads to CO<sub>2</sub>.</p>
   <p>2) Thermally induced CO<sub>2</sub> is overwhelmingly larger than anthropogenic CO<sub>2</sub>.</p>
   <p>3) Thermally induced CO<sub>2</sub> plays a critical role in the atmospheric CO<sub>2</sub> balance during the modern warm period.</p>
   <p>4) The temperature linearly increased, whereas atmospheric CO<sub>2</sub> did not linearly change but accelerated with time.</p>
   <p>5) Atmospheric CO<sub>2</sub> significantly changes during El Niño events but does not change much during La Niña events.</p>
   <p>6) There is no correlation between the atmospheric CO<sub>2</sub> concentration and anthropogenic CO<sub>2</sub> emissions.</p>
   <p>As a result, anthropogenic CO<sub>2</sub> emissions constitute a small part of the overall CO<sub>2</sub> balance, and the total amount of CO<sub>2</sub> is controlled by thermally induced CO<sub>2</sub> and not by anthropogenic CO<sub>2</sub>. After the Little Ice Age ended, the modern warm period began in the mid-18th century, and the amount of thermally induced CO<sub>2</sub> increased. Therefore, even if anthropogenic CO<sub>2</sub> emissions are reduced, the total CO<sub>2</sub> concentration will continue to increase during the modern warm period.</p>
  </sec><sec id="s4">
   <title>4. Conclusion</title>
   <p>
    <xref ref-type="fig" rid="fig1">
     Figure 1
    </xref> summarizes the Rs control process derived from our work on global warming. According to the IPCC, as anthropogenic CO<sub>2</sub> emissions increase, the CO<sub>2</sub> concentration in the atmosphere increases, and the atmospheric temperature increases due to the greenhouse effect of CO<sub>2</sub>. In the Rs control process, the increase in temperature due to the modern warm period increases CO<sub>2</sub> emissions due to increased Rs. One of the main factors is that the Rs control process in the midlatitude forest zone changes significantly due to temperature changes. The emitted CO<sub>2</sub> can be considered thermally induced CO<sub>2</sub>. As a result, the CO<sub>2</sub> concentration in the atmosphere increases. Therefore, although there is a cross-correlation between temperature and CO<sub>2</sub> concentration, a temperature-leading time lag is observed because it is a process mediated by Rs. Even though anthropogenic CO<sub>2</sub> has decreased, reducing total atmospheric CO<sub>2</sub> concentrations during the modern warm period is difficult. Additionally, this means that an increase in anthropogenic CO<sub>2</sub> since the Industrial Revolution has contributed too little to affect the global CO<sub>2</sub> concentration.</p>
  </sec><sec id="s5">
   <title>Abbreviations</title>
   <table class="MsoTableGrid custom-table" border="0" cellspacing="0" cellpadding="0"> 
    <tr> 
     <td class="aleft"><p style="text-align:left">ENSO Index:</p></td> 
     <td class="aleft"><p style="text-align:left">El Niño‒Southern Oscillation Index</p></td> 
    </tr> 
    <tr> 
     <td class="aleft"><p style="text-align:left">IPCC:</p></td> 
     <td class="aleft"><p style="text-align:left">Intergovernmental Panel on Climate Change (the United Nations body)</p></td> 
    </tr> 
    <tr> 
     <td class="aleft"><p style="text-align:left">NOAA:</p></td> 
     <td class="aleft"><p style="text-align:left">National Oceanic and Atmospheric Administration</p></td> 
    </tr> 
    <tr> 
     <td class="aleft"><p style="text-align:left">UAH:</p></td> 
     <td class="aleft"><p style="text-align:left">University of Alabama in Huntsville</p></td> 
    </tr> 
    <tr> 
     <td class="aleft"><p style="text-align:left">drco<sub>2</sub>/dt:</p></td> 
     <td class="aleft"><p style="text-align:left">The change rate of the CO<sub>2</sub> concentration or CO<sub>2</sub> growth rate</p></td> 
    </tr> 
    <tr> 
     <td class="aleft"><p style="text-align:left">Rs:</p></td> 
     <td class="aleft"><p style="text-align:left">Soil respiration</p></td> 
    </tr> 
    <tr> 
     <td class="aleft"><p style="text-align:left">ΔT:</p></td> 
     <td class="aleft"><p style="text-align:left">Temperature change</p></td> 
    </tr> 
    <tr> 
     <td class="aleft"><p style="text-align:left">r:</p></td> 
     <td class="aleft"><p style="text-align:left">correlation coefficient</p></td> 
    </tr> 
   </table>
  </sec>
 </body><back>
  <ref-list>
   <title>References</title>
   <ref id="scirp.142122-ref1">
    <label>1</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Britannica: Little Ice Age. &gt;https://www.britannica.com/science/Little-Ice-Age 
    </mixed-citation>
   </ref>
   <ref id="scirp.142122-ref2">
    <label>2</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Wikipedia: Keeling Curve. &gt;https://en.wikipedia.org/wiki/Keeling_Curve 
    </mixed-citation>
   </ref>
   <ref id="scirp.142122-ref3">
    <label>3</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Nishioka, M. (2024) Changes in Temperature and CO
     <sub>2</sub> in the Atmosphere at Various Latitudes. Current Research in Environmental Science and Ecology Letters, 1, 1-9. &gt;https://dx.doi.org/10.33140/CRESEL.01.01.02 
    </mixed-citation>
   </ref>
   <ref id="scirp.142122-ref4">
    <label>4</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Nishioka, M. (2024) Effects of Plant Decomposition and Soil Respiration on CO
     <sub>2</sub> in the Atmosphere via Global Temperature Changes. Current Research in Environmental Science and Ecology Letters, 1, 1-12.&gt;https://dx.doi.org/10.33140/CRESEL.01.01.03 
    </mixed-citation>
   </ref>
   <ref id="scirp.142122-ref5">
    <label>5</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Nishioka, M. (2024) Effects of Anthropogenic CO
     <sub>2</sub> and Thermally-Induced CO
     <sub>2</sub> on Global Warming. Atmospheric and Climate Sciences, 14, 317-327. &gt;https://doi.org/10.4236/acs.2024.143020
    </mixed-citation>
   </ref>
   <ref id="scirp.142122-ref6">
    <label>6</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Nishioka, M. (2024) Cross-Correlation between Global Temperature and Atmospheric CO
     <sub>2</sub> with a Temperature-Leading Time Lag. Atmospheric and Climate Sciences, 14, 484-494. &gt;https://doi.org/10.4236/acs.2024.144029
    </mixed-citation>
   </ref>
   <ref id="scirp.142122-ref7">
    <label>7</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     IPCC: Sixth Assessment Report. &gt;https://www.ipcc.ch/assessment-report/ar6/ 
    </mixed-citation>
   </ref>
   <ref id="scirp.142122-ref8">
    <label>8</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     NCESC.COM (2024) What Is the Percentage of the Rainforest? &gt;https://www.ncesc.com/geographic-faq/what-is-the-percentage-of-the-rainforest/ 
    </mixed-citation>
   </ref>
   <ref id="scirp.142122-ref9">
    <label>9</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Answers (2025) What Percentage of the Earth Does Each Biome Cover? &gt;https://www.answers.com/biology/What_percentage_of_the_Earth_does_each_biome_cover 
    </mixed-citation>
   </ref>
   <ref id="scirp.142122-ref10">
    <label>10</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     NOAA: Trends in Atmospheric Carbon Dioxide. &gt;https://gml.noaa.gov/ccgg/trends/data.html 
    </mixed-citation>
   </ref>
   <ref id="scirp.142122-ref11">
    <label>11</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Gilfillan, D., Marland, G., Boden, T. and Andres R. (2020) Global, Regional, and National Fossil-Fuel CO
     <sub>2</sub> Emissions: 1751-2017. Zenodo. &gt;https://zenodo.org/records/4281271 
    </mixed-citation>
   </ref>
   <ref id="scirp.142122-ref12">
    <label>12</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     IPCC Assessment Report. &gt;https://www.ipcc.ch/site/assets/uploads/2018/02/Fig6-01-2.jpg 
    </mixed-citation>
   </ref>
   <ref id="scirp.142122-ref13">
    <label>13</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Roy Spencer: Latest Global Temps. &gt;https://www.drroyspencer.com/latest-global-temperatures/ 
    </mixed-citation>
   </ref>
   <ref id="scirp.142122-ref14">
    <label>14</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Harde, H. (2017) Scrutinizing the Carbon Cycle and CO
     <sub>2</sub> Residence Time in the Atmosphere. Global and Planetary Change, 152, 19-26. &gt;https://doi.org/10.1016/j.gloplacha.2017.02.009
    </mixed-citation>
   </ref>
   <ref id="scirp.142122-ref15">
    <label>15</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Li, L., Yang, H., Li, H., Sun, J. and Shang, F. (2025) Soil Respiration and Its Temperature Sensitivity in Pinus koraiensis Plantations Are Mediated by Temperature, Humidity, and Wind Speed. Trees, Forests and People, 19, Article ID: 100784. &gt;https://doi.org/10.1016/j.tfp.2025.100784
    </mixed-citation>
   </ref>
   <ref id="scirp.142122-ref16">
    <label>16</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Boyce, E.S., Motyka, R.J. and Truffer, M. (2007) Flotation and Retreat of a Lake-Calving Terminus, Mendenhall Glacier, Southeast Alaska, USA. Journal of Glaciology, 53, 211-224. &gt;https://doi.org/10.3189/172756507782202928
    </mixed-citation>
   </ref>
   <ref id="scirp.142122-ref17">
    <label>17</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Harde, H. (2019) What Humans Contribute to Atmospheric CO
     <sub>2</sub>: Comparison of Carbon Cycle Models with Observations. Earth Sciences, 8, 139-158. &gt;https://doi.org/10.11648/j.earth.20190803.13
    </mixed-citation>
   </ref>
  </ref-list>
 </back>
</article>