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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Environ. Sci.</journal-id>
<journal-title>Frontiers in Environmental Science</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Environ. Sci.</abbrev-journal-title>
<issn pub-type="epub">2296-665X</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="publisher-id">1113538</article-id>
<article-id pub-id-type="doi">10.3389/fenvs.2023.1113538</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Environmental Science</subject>
<subj-group>
<subject>Original Research</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>Grazing disturbance significantly decreased soil organic carbon contents of alpine grasslands on the Tibetan Plateau</article-title>
<alt-title alt-title-type="left-running-head">Yang et al.</alt-title>
<alt-title alt-title-type="right-running-head">
<ext-link ext-link-type="uri" xlink:href="https://doi.org/10.3389/fenvs.2023.1113538">10.3389/fenvs.2023.1113538</ext-link>
</alt-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname>Yang</surname>
<given-names>Hua</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="fn" rid="fn1">
<sup>&#x2020;</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Zhang</surname>
<given-names>Yonggang</given-names>
</name>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<xref ref-type="fn" rid="fn1">
<sup>&#x2020;</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Li</surname>
<given-names>Wei</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Xu</surname>
<given-names>Qingmin</given-names>
</name>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/1870829/overview"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Zhou</surname>
<given-names>Huakun</given-names>
</name>
<xref ref-type="aff" rid="aff4">
<sup>4</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/1362948/overview"/>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Du</surname>
<given-names>Yangong</given-names>
</name>
<xref ref-type="aff" rid="aff4">
<sup>4</sup>
</xref>
<xref ref-type="corresp" rid="c001">&#x2a;</xref>
<uri xlink:href="https://loop.frontiersin.org/people/1060056/overview"/>
</contrib>
</contrib-group>
<aff id="aff1">
<sup>1</sup>
<institution>Tianjin Eco-Environmental Monitoring Center</institution>, <addr-line>Tianjin</addr-line>, <country>China</country>
</aff>
<aff id="aff2">
<sup>2</sup>
<institution>Tianjin Capital Environmental Protection Group Company Limited</institution>, <addr-line>Tianjin</addr-line>, <country>China</country>
</aff>
<aff id="aff3">
<sup>3</sup>
<institution>Qinghai Ecology and Environment Monitor Centre</institution>, <addr-line>Xining</addr-line>, <country>China</country>
</aff>
<aff id="aff4">
<sup>4</sup>
<institution>Qinghai Provincial Key Laboratory of Restoration Ecology for Cold Region</institution>, <institution>Northwest Institute of Plateau Biology</institution>, <institution>Chinese Academy of Sciences</institution>, <addr-line>Xining</addr-line>, <country>China</country>
</aff>
<author-notes>
<fn fn-type="edited-by">
<p>
<bold>Edited by:</bold> <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/243941/overview">Qibing Wang</ext-link>, Institute of Botany (CAS), China</p>
</fn>
<fn fn-type="edited-by">
<p>
<bold>Reviewed by:</bold> <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/1509267/overview">Shuxia Zheng</ext-link>, Institute of Botany (CAS), China</p>
<p>
<ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/1526235/overview">Xiaoming Kang</ext-link>, Chinese Academy of Forestry, China</p>
</fn>
<corresp id="c001">&#x2a;Correspondence: Wei Li, <email>14386126@qq.com</email>; Yangong Du, <email>ygdu@nwipb.cas.cn</email>
</corresp>
<fn fn-type="equal" id="fn1">
<label>
<sup>&#x2020;</sup>
</label>
<p>These authors have contributed equally to this work</p>
</fn>
<fn fn-type="other">
<p>This article was submitted to Soil Processes, a section of the journal Frontiers in Environmental Science</p>
</fn>
</author-notes>
<pub-date pub-type="epub">
<day>14</day>
<month>03</month>
<year>2023</year>
</pub-date>
<pub-date pub-type="collection">
<year>2023</year>
</pub-date>
<volume>11</volume>
<elocation-id>1113538</elocation-id>
<history>
<date date-type="received">
<day>01</day>
<month>12</month>
<year>2022</year>
</date>
<date date-type="accepted">
<day>02</day>
<month>03</month>
<year>2023</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#xa9; 2023 Yang, Zhang, Li, Xu, Zhou and Du.</copyright-statement>
<copyright-year>2023</copyright-year>
<copyright-holder>Yang, Zhang, Li, Xu, Zhou and Du</copyright-holder>
<license xlink:href="http://creativecommons.org/licenses/by/4.0/">
<p>This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.</p>
</license>
</permissions>
<abstract>
<p>Ecological security barriers on the Tibetan Plateau are threatened by climate change and human activities, such as grassland degradation and reduction of carbon fixation capacity. Understanding the influence of grazing on soil organic carbon (SOC) content and its regulating factors is important for improving the ecological barrier function of alpine grasslands. In this meta-analysis, we analysed the effects of grazing on SOC. The results indicate that grazing disturbance significantly reduced the SOC content by 13.93%, with an effect size of &#x2212;0.15 &#xb1; 0.04 (<italic>p</italic> &#x3c; 0.001). The effect of light grazing was not significant. The reduction range gradually increased with increasing grazing intensity. The effect of grazing activity on SOC content was driven mainly by pH and total nitrogen through a structural equation model. Future nitrogen deposition scenarios would significantly increase alpine meadow SOC on the Tibetan Plateau.</p>
</abstract>
<kwd-group>
<kwd>effect size</kwd>
<kwd>grazing intensity</kwd>
<kwd>SOC</kwd>
<kwd>structural equation model</kwd>
<kwd>Tibetan Plateau</kwd>
</kwd-group>
</article-meta>
</front>
<body>
<sec id="s1">
<title>Introduction</title>
<p>The Tibetan Plateau is an important ecological security barrier in China, and is particularly susceptible to climate change (<xref ref-type="bibr" rid="B24">Mipam et al., 2016</xref>). Alpine meadows, a representative vegetation type of the region, cover over 60% of the Tibetan Plateau (<xref ref-type="bibr" rid="B26">Tang et al., 2019</xref>). Overgrazing has resulted in the degradation of over 80% of the grassland on the Tibetan Plateau and significantly decreased alpine meadow soil organic carbon (SOC) (<xref ref-type="bibr" rid="B12">Fu et al., 2021</xref>). Therefore, the ecosystem is fragile and faces uncertainty owing to environmental change against the backdrop of global warming.</p>
<p>Grazing intensity affects grassland ecosystem stability and livestock productivity, and is critical for grazing management (<xref ref-type="bibr" rid="B24">Mipam et al., 2016</xref>; <xref ref-type="bibr" rid="B31">Yang et al., 2020</xref>). Actual livestock carrying capacity is approximately 1.6 times the theoretical capacity, and 80.93% of counties have overloaded grazing on the Tibetan Plateau (<xref ref-type="bibr" rid="B12">Fu et al., 2021</xref>). Soil organic matter is the dominant source of grassland nutrients; 95% and 50% of soil total nitrogen and phosphorus, respectively, is derived from organic matter mineralisation (<xref ref-type="bibr" rid="B31">Yang et al., 2020</xref>). The disappearance of high-quality pastures is mainly caused by the depletion of soil nutrients due to overgrazing (<xref ref-type="bibr" rid="B14">Gebregergs et al., 2019</xref>; <xref ref-type="bibr" rid="B19">Li et al., 2022</xref>). Grazing affects photosynthesis by removing the aboveground parts of the pasture, thus affecting the input of pasture to SOC (<xref ref-type="bibr" rid="B7">Du et al., 2019a</xref>). Grazing also affects the composition of soil organic matter and available nitrogen through trampling and excretion (<xref ref-type="bibr" rid="B14">Gebregergs et al., 2019</xref>). Light grazing contributes to SOC accumulation, and can increase SOC by 0.78%; however, it can also moderately and severely reduce grasslands by 3.45% and 9.91%, respectively (<xref ref-type="bibr" rid="B34">Zhou et al., 2017</xref>). The average SOC content has been reported to be 3.4% and 2.4% in non-degraded and degraded grasslands on the eastern Tibetan Plateau, respectively (<xref ref-type="bibr" rid="B9">Du et al., 2019b</xref>). However, some studies have indicated that moderate grazing increased the SOC content in the Zoige marsh wetlands (<xref ref-type="bibr" rid="B20">Li et al., 2020</xref>).</p>
<p>Light and moderate grazing has been reported to increase grassland biomass and species diversity and promote the overcompensated growth of plant communities (<xref ref-type="bibr" rid="B15">Huidan et al., 2017</xref>). Moderate grazing is the best management method for alpine grassland growth (<xref ref-type="bibr" rid="B6">Du et al., 2020</xref>). Heavy grazing significantly accelerates the turnover of carbon and nitrogen in marsh meadow soil, increasing soil nutrient output and grassland degradation (<xref ref-type="bibr" rid="B33">Zhou et al., 2019</xref>). The decrease in total porosity, increase in soil bulk density and seepage resistance, and soil loss due to wind and water erosion have reduced the SOC pool in overgrazed grasslands (<xref ref-type="bibr" rid="B22">Liang et al., 2017</xref>). Heavy grazing damages the surface vegetation of alpine meadows, significantly reducing the soil carbon pool function and rainfall interception capacity (<xref ref-type="bibr" rid="B30">Yan et al., 2016</xref>; <xref ref-type="bibr" rid="B3">Dai et al., 2021</xref>). In the last 50&#xa0;years, temperature and precipitation have increased by 0.3&#xb0;C&#x2013;0.4&#xb0;C and 2.2%, respectively, every 10&#xa0;years (<xref ref-type="bibr" rid="B12">Fu et al., 2021</xref>). The biomass of degraded alpine grasslands and the input of SOC have increased with the warming and humidifying climate (<xref ref-type="bibr" rid="B2">Chen et al., 2013</xref>). Heavy grazing increases grassland evapotranspiration and reduces water efficiency and SOC content (<xref ref-type="bibr" rid="B15">Huidan et al., 2017</xref>). Moreover, SOC content has increased perhaps with the increase of precipitation and the decrease of temperature (<xref ref-type="bibr" rid="B33">Zhou et al., 2019</xref>).</p>
<p>Previous studies have focused on the response of SOC to grazing intensity in the north-eastern and southwestern parts of the Tibetan Plateau. However, there is a lack of systematic quantitative analyses of the response characteristics of SOC in the Tibetan Plateau. The main regulatory factors of alpine meadow ecosystem SOC to grazing disturbance are also unclear. In this study, we holistically analyzed the effect of different grazing intensities on SOC content and driving factors on the Tibetan Plateau through meta-analysis and structural equation model. We hypothesized grazing decreased grassland SOC because reduction of plant carbon input into soils. Furthermore, SOC would decrease with grazing intensity increasing. This study aims to provide a scientific basis for exploring grassland grazing management systems.</p>
</sec>
<sec sec-type="materials|methods" id="s2">
<title>Material and methods</title>
<sec id="s2-1">
<title>Data compilation</title>
<p>We collected published papers using the keywords &#x201c;grazing,&#x201d; &#x201c;soil organic carbon&#x201d; or &#x201c;SOC,&#x201d; and &#x201c;Tibet&#x2a;&#x201d; to search the Web of Science and Chinese articles database (China National knowledge Internet, <ext-link ext-link-type="uri" xlink:href="https://www.cnki.net/">https://www.cnki.net/</ext-link>) from January 1990, to November 2022. One hundred and eighty articles were selected and saved in the Endnote library (Endnote X9). Full-version papers were automatically added by the &#x201c;find full text&#x201d; function and Google Scholar.</p>
<p>We then screened the full articles to ensure that all the following criteria were met: 1) SOC was analysed; and 2) control and grazing activities (light, moderate, and heavy grazing) were included. All used data were collected from published article including different grazing intensities. Thus, light, moderate and heavy and control grasslands were comparable in one group. Some data were extracted using WebPlotDigitizer software (<xref ref-type="bibr" rid="B1">Burda et al., 2017</xref>). We collected 66 groups of field experimental results (<xref ref-type="fig" rid="F1">Figure 1</xref>) and recorded soil and plant characteristics and climatic factors. If the standard error was missing, 1/10 of the average value was used as the default value (<xref ref-type="bibr" rid="B1">Burda et al., 2017</xref>).</p>
<fig id="F1" position="float">
<label>FIGURE 1</label>
<caption>
<p>Main vegetation types distribution and 66 research sites on the Tibetan Plateau.</p>
</caption>
<graphic xlink:href="fenvs-11-1113538-g001.tif"/>
</fig>
<p>Log response ratios were calculated as a measure of the effect size. A 95% confidence interval (95% CI) was calculated. A random-effect-model meta-analysis was performed and the data were analysed using R statistical software.<disp-formula id="equ1">
<mml:math id="m1">
<mml:mrow>
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<mml:mo>&#x2212;</mml:mo>
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<mml:mrow>
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</disp-formula>where X<sub>e</sub> and X<sub>c</sub> are the mean values of SOC in the grazing and control groups, respectively.</p>
<p>The variance of lnR was calculated as follows:<disp-formula id="equ2">
<mml:math id="m2">
<mml:mrow>
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<mml:mo>&#x3d;</mml:mo>
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<mml:mi>x</mml:mi>
<mml:mi>e</mml:mi>
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</mml:mfrac>
<mml:mo>&#x2b;</mml:mo>
<mml:mfrac>
<mml:msubsup>
<mml:mi>S</mml:mi>
<mml:mi>c</mml:mi>
<mml:mn>2</mml:mn>
</mml:msubsup>
<mml:mrow>
<mml:msub>
<mml:mi>N</mml:mi>
<mml:mi>c</mml:mi>
</mml:msub>
<mml:msubsup>
<mml:mi>x</mml:mi>
<mml:mi>c</mml:mi>
<mml:mn>2</mml:mn>
</mml:msubsup>
</mml:mrow>
</mml:mfrac>
</mml:mrow>
</mml:math>
</disp-formula>where S<sub>e</sub>, N<sub>e</sub>, x<sub>e</sub>, S<sub>c</sub>, N<sub>c</sub> and x<sub>c</sub> represent the standard deviations, sample sizes, and mean values of SOC in the grazed grasslands and controls, respectively.</p>
<p>The effect size of grazing activity on SOC and confidence interval based on the random effect model were calculated as follows:<disp-formula id="equ3">
<mml:math id="m3">
<mml:mrow>
<mml:mi mathvariant="normal">I</mml:mi>
<mml:mi mathvariant="normal">n</mml:mi>
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<mml:mi mathvariant="normal">i</mml:mi>
<mml:mi mathvariant="normal">v</mml:mi>
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<mml:mi mathvariant="normal">u</mml:mi>
<mml:mi mathvariant="normal">a</mml:mi>
<mml:mi mathvariant="normal">l</mml:mi>
<mml:mtext>&#x2009;</mml:mtext>
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<p>Where <italic>v</italic>
<sub>
<italic>i</italic>
</sub> <italic>and</italic> <inline-formula id="inf1">
<mml:math id="m4">
<mml:mrow>
<mml:msup>
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<mml:mn>2</mml:mn>
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</inline-formula> represent the intra- and inter-study variance of SOC in grazed grasslands.<disp-formula id="equ4">
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<mml:mrow>
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<mml:mi>k</mml:mi>
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<mml:msubsup>
<mml:mi>w</mml:mi>
<mml:mi>i</mml:mi>
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<mml:mo>&#x2211;</mml:mo>
<mml:mrow>
<mml:mi mathvariant="normal">i</mml:mi>
<mml:mo>&#x3d;</mml:mo>
<mml:mn>1</mml:mn>
</mml:mrow>
<mml:mi mathvariant="normal">k</mml:mi>
</mml:msubsup>
<mml:msubsup>
<mml:mi>w</mml:mi>
<mml:mi>i</mml:mi>
<mml:mo>&#x2a;</mml:mo>
</mml:msubsup>
</mml:mrow>
</mml:mfrac>
</mml:msqrt>
</mml:mrow>
</mml:math>
</disp-formula>
</p>
<p>95% confidence interval of effect size: <italic>CI</italic> &#x3d; <inline-formula id="inf2">
<mml:math id="m7">
<mml:mrow>
<mml:mover accent="true">
<mml:mi>y</mml:mi>
<mml:mo>&#xaf;</mml:mo>
</mml:mover>
</mml:mrow>
</mml:math>
</inline-formula> &#xb1; 1.96 <italic>SE</italic>, <italic>y</italic>
<sub>
<italic>i</italic>
</sub> was the single study effect size value.</p>
</sec>
<sec id="s2-2">
<title>Statistical analysis</title>
<p>Meta-statistical analyses were performed using R 3.6.2, and we ran a random-effect model of meta-analysis in <italic>metafor</italic>1.9-8 (Ben&#xed;tez-L&#xf3;pez et al., 2017). Random effects models were used to analyse the estimated values and standard errors (rma). The effect of climatic factors and soil characteristics on effect sizes of SOC were analysed using the structural equation model and the &#x201c;piecewise SEM&#x201d; package. There are likely biases due to the selection of negative results. In our study, the regression test for funnel plot asymmetry of publication bias was analysed using a mixed-effects meta-regression model (funnel and Egger&#x2019;s test, rma in R 3.6.2).</p>
</sec>
<sec id="s2-3">
<title>Publication bias analysis of effect sizes on grassland SOC content</title>
<p>Meta-analysis data were obtained from published academic papers and a quantitative evaluation of the effect size. The bias in the evaluation results was perhaps affected by the selection of the papers. The symmetry test of the funnel plot of grassland SOC content affected by grazing disturbance showed that the <italic>p</italic>-value of 0.990 was much greater than the significance test level of 0.05 (<xref ref-type="fig" rid="F2">Figures 2</xref>, <xref ref-type="fig" rid="F3">3</xref>). The standard error showed a symmetrical distribution, which indicated that the funnel plot of the data extracted was symmetrical, thus confirming that this study had no preference for paper publishing, and that the results had full credibility.</p>
<fig id="F2" position="float">
<label>FIGURE 2</label>
<caption>
<p>Funnel plot of effect sizes of grazing on grassland SOC contents. Note: Egger&#x2019;s regression test for funnel plot asymmetry (<italic>z</italic> &#x3d; &#x2212;0.012, <italic>p</italic> &#x3d; 0.990).</p>
</caption>
<graphic xlink:href="fenvs-11-1113538-g002.tif"/>
</fig>
<fig id="F3" position="float">
<label>FIGURE 3</label>
<caption>
<p>Effect size of grazing disturbance on alpine meadows SOC on the Tibetan Plateau. Note: GD, LG, MG and HG meant grazing disturbance, light grazing, moderate and heavy grazing. Different letters meant there was significant difference among three grazing intensities. Values of <italic>P</italic> indicated that there was significant difference on effect sizes of grazed grassland SOC contents.</p>
</caption>
<graphic xlink:href="fenvs-11-1113538-g003.tif"/>
</fig>
</sec>
</sec>
<sec sec-type="results" id="s3">
<title>Results</title>
<sec id="s3-1">
<title>Effect size of grazing on SOC across the Tibetan Plateau</title>
<p>Grazing disturbance significantly reduced the SOC content in alpine grasslands on the Tibetan Plateau, with an effect size of &#x2212;0.15 &#xb1; 0.04 (95% confidence interval: 0.23 to &#x2212;0.06) and a decrease range of 13.93% (<italic>p</italic> &#x3c; 0.001, <xref ref-type="fig" rid="F2">Figure 2</xref>). The SOC content ranged from 0.40% to 23.72%, with an average of 5.84% &#xb1; 0.56% in grazed grasslands across the Tibetan Plateau.</p>
</sec>
<sec id="s3-2">
<title>Effect sizes of different grazing intensities on SOC across the Tibetan Plateau</title>
<p>The effect size of SOC content decreased with increasing grazing intensity (light, moderate, and heavy), with reductions of 12.19%, 13.06%, and 15.63%, respectively (<xref ref-type="fig" rid="F2">Figure 2</xref>). The effect size of heavy grazing was approximately &#x2212;0.17 &#xb1; 0.08 (95% confidence interval: &#x2212;0.33 to &#x2212;0.01).</p>
<p>The effect size of heavy grazing was significantly higher than that of light or moderate grazing (<italic>p</italic> &#x3c; 0.05). The effect size of light grazing on SOC content was not statistically significant; thus, a light grazing system is preferrable to reduce the impact of grazing on SOC content.</p>
</sec>
<sec id="s3-3">
<title>Factors driving SOC content in grazed alpine meadows based on a structural equation model</title>
<p>According to a structural equation model, the effect of grazing activity on SOC content was mainly controlled by pH and total nitrogen (TN), with direct coefficients of &#x2212;0.523 and 0.431, respectively (<italic>p</italic> &#x3c; 0.05, <xref ref-type="fig" rid="F4">Figure 4</xref>). The direct coefficients of temperature and precipitation on the effect sizes were 0.579 and &#x2212;0.456, respectively. Total nutrient content was directly affected by SOC content, with a direct coefficient of 0.688 (<italic>p</italic> &#x3c; 0.01). The driving factors of grassland pH were SOC and air temperature, with coefficients of &#x2212;0.641 (<italic>p</italic> &#x3c; 0.01) and &#x2212;0.348 (<italic>p</italic> &#x3c; 0.05), respectively.</p>
<fig id="F4" position="float">
<label>FIGURE 4</label>
<caption>
<p>Driven factors of grazed grasslands SOC on the Tibetan Plateau by structural equation model. Note: pH, Tem, SOC, TN, and Lat were pH value, air temperature, soil organic carbon, total nitrogen, and latitude. Solid and dotted lines indicated significant and insignificant effect, separately.</p>
</caption>
<graphic xlink:href="fenvs-11-1113538-g004.tif"/>
</fig>
</sec>
</sec>
<sec sec-type="discussion" id="s4">
<title>Discussion</title>
<p>Degradation of grassland ecosystems in the Tibetan Plateau is severe and is mainly concentrated in the northwest (<xref ref-type="bibr" rid="B19">Li et al., 2022</xref>; <xref ref-type="bibr" rid="B25">Shen et al., 2022</xref>). Alpine meadows are rich in total nutrients, but lack available nutrients (<xref ref-type="bibr" rid="B7">Du et al., 2019a</xref>). Increasing grazing intensity has hindered the reproduction of grasses, which have gradually degenerated (<xref ref-type="bibr" rid="B13">Fu et al., 2015</xref>; <xref ref-type="bibr" rid="B9">Du et al., 2019b</xref>). <italic>Kobresia humilis</italic> and <italic>Kobresia pygmaea</italic> have gradually become the dominant plant populations as they are tolerant to grazing and trampling (<xref ref-type="bibr" rid="B5">Dorji et al., 2016</xref>). The intensive degradation of alpine meadows has reduced nutrient uptake and soil carbon and nitrogen storage in recent decades (<xref ref-type="bibr" rid="B7">Du et al., 2019a</xref>).</p>
<p>SOC is strongly associated with soil fertility and has an important impact on the global carbon cycle, both as a carbon source and carbon sink (<xref ref-type="bibr" rid="B25">Shen et al., 2022</xref>). In this study, we revealed that grazing disturbance significantly reduced SOC content by approximately 13.93% in alpine meadows on the Tibetan Plateau. Similar studies have found that the SOC content in continuously grazed grasslands was significantly lower than that in non-grazed grasslands (approximately 10.41% and 41.69%, respectively) (<xref ref-type="bibr" rid="B18">Li et al., 2014</xref>). The SOC content decreased by 15% and 41%, mainly because of the significant reduction in soil water content due to increased grazing, which altered plant functional groups and soil microorganisms and reduced carbon input on the south-eastern Tibetan Plateau (<xref ref-type="bibr" rid="B4">Dong et al., 2021</xref>). SOC content of heavily grazed grassland decreased by 45.75%, and the lack of nitrogen supply may be the main reason for the decline in grassland SOC fixation capacity (<xref ref-type="bibr" rid="B32">Zhan et al., 2020</xref>). Furthermore, the SOC content of grasslands with moderate and heavy grazing decreased significantly in the central Tibetan Plateau, from 2.79% to 1.02% and 1.39%, respectively (<xref ref-type="bibr" rid="B27">Wang, 2019</xref>). Grazing significantly reduced the SOC content and carbon storage of alpine meadows, which were mainly affected by soil bulk density in the Qinghai Province (<xref ref-type="bibr" rid="B9">Du et al., 2019b</xref>). Our study indicated that light grazing also reduced SOC content, but the result was not statistically significant; both moderate and heavy grazing significantly decreased SOC. Light grazing management systems should be adopted on the Tibetan Plateau based on the management of grassland soil carbon storage.</p>
<p>Root exudates are predicted to significantly alter the microbial community by affecting pH values (<xref ref-type="bibr" rid="B28">Xia et al., 2015</xref>). Soil pH is the strongest factor contributing to soil microbial community differences (<xref ref-type="bibr" rid="B29">Xiao et al., 2017</xref>; <xref ref-type="bibr" rid="B21">Liang et al., 2019</xref>). SOC content was also reported to show a significant negative correlation with grassland pH (<xref ref-type="bibr" rid="B18">Li et al., 2014</xref>). The soil pH of light, moderate, and heavily grazed grassland was 7.5, 7.7, and 7.9, respectively, while SOC decreased from 6.87% to 6.37% and 4.16%, respectively, on the Tibetan Plateau (<xref ref-type="bibr" rid="B6">Du et al., 2020</xref>). We also found that the SOC of grazed grasslands was negatively influenced by pH across the Tibetan Plateau. In this study, the pH was approximately 6.93 &#xb1; 1.56, ranging from 4.32 to 9.65 on the Tibetan Plateau. Future soil acidification could improve grassland SOC content.</p>
<p>Nitrogen is a basic nutrient for all organisms and is a key limiting factor for grassland plant growth (<xref ref-type="bibr" rid="B17">Kim et al., 2012</xref>; <xref ref-type="bibr" rid="B16">Kanter et al., 2016</xref>). In this study, a structural equation model revealed that the effect of grazing on SOC content was positively controlled by total nitrogen content. Similar studies have reported that heavy grazing significantly reduces the soil total nitrogen content of alpine meadows on the Tibetan Plateau (<xref ref-type="bibr" rid="B6">Du et al., 2020</xref>; <xref ref-type="bibr" rid="B3">Dai et al., 2021</xref>). The total nitrogen content of soil in alpine meadow grasslands with light and moderate grazing were 0.83% and 0.44%, respectively (<xref ref-type="bibr" rid="B7">Du et al., 2019a</xref>). Heavy grazing reduces soil total nitrogen content (by approximately 36.83%) and nitrogen storage in alpine grasslands at the source of the Three Rivers on the Tibetan Plateau (<xref ref-type="bibr" rid="B11">Fan et al., 2012</xref>). Altering the ratio of soil carbon to nitrogen may reduce the SOC content because the soil ecosystem maintains the stability of carbon and nitrogen chemical reserves (<xref ref-type="bibr" rid="B10">Fan et al., 2008</xref>; <xref ref-type="bibr" rid="B14">Gebregergs et al., 2019</xref>). Furthermore, enhanced nitrogen deposition is expected to occur in the next few decades owing to increased human activity, and grazing excreta are hotspots of nitrogen transformation (<xref ref-type="bibr" rid="B23">Liu et al., 2013</xref>; <xref ref-type="bibr" rid="B8">Du et al., 2021</xref>). The SOC content of alpine meadows will significantly increase in future scenarios of increasing nitrogen deposition.</p>
</sec>
<sec sec-type="conclusion" id="s5">
<title>Conclusion</title>
<p>In conclusion, strong heterogeneity of SOC content was observed in alpine meadows of the Tibetan Plateau. Grazing disturbance significantly reduced SOC content in alpine grasslands, especially at moderate and heavy grazing intensities. Light grazing did not not significantly reduce SOC, and we recommend using light grazing management practices to reduce SOC loss. The results of the structural equation model revealed that SOC was mainly affected by pH and TN. Future increases in nitrogen deposition would aid in improving grassland SOC content on the Tibetan Plateau.</p>
</sec>
</body>
<back>
<sec sec-type="data-availability" id="s6">
<title>Data availability statement</title>
<p>The raw data supporting the conclusion of this article will be made available by the authors, without undue reservation.</p>
</sec>
<sec id="s7">
<title>Author contributions</title>
<p>HY: Conceptualization, writing&#x2014;original draft preparation. YZ and WL: Methodology and project administration. QX: Methodology and resources, and validation. HZ: Formal analysis, investigation, and data curation. YD: Writing&#x2014;review and editing. All authors have read and agreed to the published version of the manuscript.</p>
</sec>
<sec id="s8">
<title>Funding</title>
<p>This work is supported by the key development and transformation projects in Qinghai Province (2022-NK-135).</p>
</sec>
<sec sec-type="COI-statement" id="s9">
<title>Conflict of interest</title>
<p>YZ was employed by Tianjin Capital Environmental Protection Group Company Limited.</p>
<p>The remaining authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.</p>
</sec>
<sec sec-type="disclaimer" id="s10">
<title>Publisher&#x2019;s note</title>
<p>All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.</p>
</sec>
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