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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Plant Sci.</journal-id>
<journal-title>Frontiers in Plant Science</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Plant Sci.</abbrev-journal-title>
<issn pub-type="epub">1664-462X</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3389/fpls.2023.1200155</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Plant Science</subject>
<subj-group>
<subject>Original Research</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>Precipitation modulates the net effect of solar radiation on litter decomposition and CO<sub>2</sub> emission - a meta-analysis</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname>Liu</surname>
<given-names>YaLan</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref>
<xref ref-type="aff" rid="aff4">
<sup>4</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/2270426"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Li</surname>
<given-names>Lei</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref>
<xref ref-type="aff" rid="aff4">
<sup>4</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/506620"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Wang</surname>
<given-names>ShiQi</given-names>
</name>
<xref ref-type="aff" rid="aff4">
<sup>4</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/2240088"/>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Li</surname>
<given-names>Xiangyi</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref>
<xref ref-type="aff" rid="aff4">
<sup>4</sup>
</xref>
<xref ref-type="author-notes" rid="fn001">
<sup>*</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/1393559"/>
</contrib>
</contrib-group>
<aff id="aff1">
<sup>1</sup>
<institution>State Key Laboratory of Desert and Oasis Ecology, Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences</institution>, <addr-line>Urumqi</addr-line>, <country>China</country>
</aff>
<aff id="aff2">
<sup>2</sup>
<institution>Xinjiang Key Laboratory of Desert Plant Roots Ecology and Vegetation Restoration, Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences</institution>, <addr-line>Urumqi</addr-line>, <country>China</country>
</aff>
<aff id="aff3">
<sup>3</sup>
<institution>Cele National Station of Observation and Research for Desert-Grassland Ecosystems</institution>, <addr-line>Cele</addr-line>, <country>China</country>
</aff>
<aff id="aff4">
<sup>4</sup>
<institution>University of Chinese Academy of Sciences</institution>, <addr-line>Beijing</addr-line>, <country>China</country>
</aff>
<author-notes>
<fn fn-type="edited-by">
<p>Edited by: Qingpeng Yang, Institute of Applied Ecology, Chinese Academy of Sciences (CAS), China</p>
</fn>
<fn fn-type="edited-by">
<p>Reviewed by: Guofang Liu, Institute of Botany, Chinese Academy of Sciences (CAS), China; Qing-Wei Wang, Institute of Applied Ecology, Chinese Academy of Sciences (CAS), China</p>
</fn>
<fn fn-type="corresp" id="fn001">
<p>*Correspondence: Xiangyi Li, <email xlink:href="mailto:lixy@ms.xjb.ac.cn">lixy@ms.xjb.ac.cn</email>
</p>
</fn>
</author-notes>
<pub-date pub-type="epub">
<day>05</day>
<month>07</month>
<year>2023</year>
</pub-date>
<pub-date pub-type="collection">
<year>2023</year>
</pub-date>
<volume>14</volume>
<elocation-id>1200155</elocation-id>
<history>
<date date-type="received">
<day>04</day>
<month>04</month>
<year>2023</year>
</date>
<date date-type="accepted">
<day>31</day>
<month>05</month>
<year>2023</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#xa9; 2023 Liu, Li, Wang and Li</copyright-statement>
<copyright-year>2023</copyright-year>
<copyright-holder>Liu, Li, Wang and Li</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>
<sec>
<title>Introduction</title>
<p>Solar radiation plays a crucial role in the decomposition of litter and the cycling of nutrients. Previous studies have investigated that the net effect of solar radiation on litter decomposition depends on the balance of its facilitative and inhibitory effects on microbial activity; however, a gap in understanding the mechanism by which precipitation affects the net effect of solar radiation and the mechanism of litter decomposition on a global scale was&#xa0;observed.</p>
</sec>
<sec>
<title>Methods</title>
<p>In addressing this gap, a comprehensive meta-analysis of 351 data points from 37 published studies was conducted to estimate the sole radiation effect and interactive effect of solar radiation and precipitation on a global scale, as well as how they vary at different precipitation levels. In addition, the importance of influential factors regulating the net effect of solar radiation on litter decomposition was assessed to identify the key drivers of the response of mass loss to solar radiation at different precipitation levels.</p>
</sec>
<sec>
<title>Results</title>
<p>Our findings indicated that solar radiation largely regulates litter decomposition, and the direction and magnitude are potentially dependent on the precipitation regime. In addition, solar radiation significantly increased mass loss and decreased the nutrient remaining. Furthermore, the effects of solar radiation on mass loss, C remaining, and N remaining were found to be similar among areas with precipitation levels below 200 and above 800 mm and greater than in areas with precipitation levels between 200-400 mm and 400-800 mm. The effect of solar radiation on CO<sub>2</sub> emissions varied from 13.97% when precipitation was below 200 mm to &#x2212;0.707% when precipitation was between 200 and 400 mm.</p>
</sec>
<sec>
<title>Conclusion</title>
<p>Climatic factors determine the response ratio of mass loss to solar radiation in arid lands, whereas the initial litter characteristics have a great influence on the response of mass loss to solar radiation in ecosystems that are not moisture limited. The effect of precipitation on the photodegradation mechanism of litter was primarily achieved by influencing the decomposition of lignin, and the main effect of solar radiation on litter decomposition will shift from the positive effect of &#x201c;photopriming&#x201d; to the negative effect of &#x201c;microbial inhibition&#x201d; with the increase of precipitation. Our findings can provide a comprehensive understanding of litter decomposition patterns on a global scale, and our results showed that CO<sub>2</sub> emissions from photodegradation will be lessened by precipitation, which is important in predicting CO<sub>2</sub> emission and separating sources of CO<sub>2</sub> under future increasing precipitation scenarios, particularly in arid lands.</p>
</sec>
</abstract>
<kwd-group>
<kwd>meta-analysis</kwd>
<kwd>precipitation</kwd>
<kwd>litter</kwd>
<kwd>photodegradation</kwd>
<kwd>microbial decomposition</kwd>
</kwd-group>
<counts>
<fig-count count="5"/>
<table-count count="0"/>
<equation-count count="5"/>
<ref-count count="42"/>
<page-count count="9"/>
<word-count count="4535"/>
</counts>
<custom-meta-wrap>
<custom-meta>
<meta-name>section-in-acceptance</meta-name>
<meta-value>Functional Plant Ecology</meta-value>
</custom-meta>
</custom-meta-wrap>
</article-meta>
</front>
<body>
<sec id="s1" sec-type="intro">
<label>1</label>
<title>Introduction</title>
<p>Litter decomposition is a crucial biogeochemical process that plays a vital role in the cycling of carbon and other nutrients in ecosystems (<xref ref-type="bibr" rid="B36">Swift et&#xa0;al., 1979</xref>; <xref ref-type="bibr" rid="B40">Wang et&#xa0;al., 2021</xref>). Various factors, such as microorganisms, local climate, and litter quality, are considered as primary determinants of litter decomposition (<xref ref-type="bibr" rid="B11">Co&#xfb;teaux et&#xa0;al., 1995</xref>). Empirical models that incorporate these three factors have been developed to estimate litter decomposition in diverse ecosystems (<xref ref-type="bibr" rid="B8">Bonan et&#xa0;al., 2013</xref>). However, these models often underestimate the decomposition rate in semiarid and arid lands, and they cannot fully account for the variation of decomposition among different terrestrial ecosystems (<xref ref-type="bibr" rid="B8">Bonan et&#xa0;al., 2013</xref>). These findings indicate that additional factors may influence litter decomposition. Therefore, exploring more comprehensive mechanisms that affect litter decomposition and carbon cycling is essential to predict changes in carbon and nutrient dynamics in the face of climate change.</p>
<p>In the past few decades, scientists have increasingly recognized the impact of solar radiation on litter decomposition, particularly in arid lands where photodegradation can account for approximately 26% of mass loss (<xref ref-type="bibr" rid="B1">Adair et&#xa0;al., 2017</xref>). On the one hand, solar radiation can directly affect recalcitrant organic matter such as lignin, breaking it down into smaller, more easily decomposable organic materials and directly producing greenhouse gases such as CO<sub>2</sub> (<xref ref-type="bibr" rid="B28">Pancotto et&#xa0;al., 2003</xref>; <xref ref-type="bibr" rid="B5">Austin and Vivanco, 2006</xref>; <xref ref-type="bibr" rid="B14">Gallo et&#xa0;al., 2006</xref>; <xref ref-type="bibr" rid="B21">King et&#xa0;al., 2012</xref>; <xref ref-type="bibr" rid="B4">Austin et&#xa0;al., 2016</xref>). In addition, these smaller organic materials can indirectly enhance microbial decomposition by promoting microbial and enzymatic activities (<xref ref-type="bibr" rid="B21">King et&#xa0;al., 2012</xref>; <xref ref-type="bibr" rid="B4">Austin et&#xa0;al., 2016</xref>; <xref ref-type="bibr" rid="B7">Berenstecher et&#xa0;al., 2020</xref>). On the other hand, solar radiation can also inhibit microbial decomposition because microbes can absorb photons, which caused DNA damage (<xref ref-type="bibr" rid="B20">Johnson, 2003</xref>; <xref ref-type="bibr" rid="B28">Pancotto et&#xa0;al., 2003</xref>). Therefore, the net effect of solar radiation on litter decomposition depends on the balance between its facilitative and inhibitory effects on microbial activity (<xref ref-type="bibr" rid="B20">Johnson, 2003</xref>; <xref ref-type="bibr" rid="B32">Robson et&#xa0;al., 2005</xref>; <xref ref-type="bibr" rid="B18">Huang and Li, 2017</xref>; <xref ref-type="bibr" rid="B23">Lin et&#xa0;al., 2017</xref>; <xref ref-type="bibr" rid="B40">Wang et&#xa0;al., 2021</xref>).</p>
<p>Precipitation is a significant factor regulating the response of litter decomposition to solar radiation (<xref ref-type="bibr" rid="B35">Smith et&#xa0;al., 2010</xref>; <xref ref-type="bibr" rid="B18">Huang and Li, 2017</xref>). In semi-arid and arid regions, the positive effect of solar radiation on litter decomposition can offset the negative effect on microbes, and the net effect of solar radiation on litter decomposition is generally positively related to the amount of precipitation (<xref ref-type="bibr" rid="B38">Wang et&#xa0;al., 2015</xref>; <xref ref-type="bibr" rid="B16">Gliksman et&#xa0;al., 2017</xref>; <xref ref-type="bibr" rid="B18">Huang and Li, 2017</xref>; <xref ref-type="bibr" rid="B30">Pierist&#xe8; et&#xa0;al., 2020</xref>). An increase in precipitation directly enhances litter leaching, facilitates nutrient dissolution, and produces more dissolved organic carbon (DOC), which can be easily degraded by solar radiation (<xref ref-type="bibr" rid="B28">Pancotto et&#xa0;al., 2003</xref>; <xref ref-type="bibr" rid="B35">Smith et&#xa0;al., 2010</xref>). However, the relative importance of photodegradation in the decomposition of litter remains unclear as some field studies have shown that precipitation can simultaneously increase photodegradation and microbial decomposition, and no assessment has been made of whether the improvement in photodegradation exceeds that of microbial decomposition (<xref ref-type="bibr" rid="B35">Smith et&#xa0;al., 2010</xref>; <xref ref-type="bibr" rid="B18">Huang and Li, 2017</xref>).</p>
<p>Similarly, the net effect of solar radiation on litter decay in relatively humid ecosystems and the mechanism by which it changes with increasing precipitation remain unclear with conflicting findings reported in various studies (<xref ref-type="bibr" rid="B35">Smith et&#xa0;al., 2010</xref>; <xref ref-type="bibr" rid="B13">Evans et&#xa0;al., 2020</xref>). These conflicts may be due to variations in litter traits, with some plants developing more protective structures, such as lignin, which make them more sensitive to solar radiation (<xref ref-type="bibr" rid="B15">Gehrke et&#xa0;al., 1995</xref>; <xref ref-type="bibr" rid="B26">Moody et&#xa0;al., 2001</xref>; <xref ref-type="bibr" rid="B5">Austin and Vivanco, 2006</xref>; <xref ref-type="bibr" rid="B23">Lin et&#xa0;al., 2017</xref>; <xref ref-type="bibr" rid="B40">Wang et&#xa0;al., 2021</xref>). Other factors that can reduce the contribution of litter photodegradation include periodic snow cover and a dense plant canopy, which can decrease cumulative irradiance (<xref ref-type="bibr" rid="B12">Egidi et&#xa0;al., 2023</xref>; <xref ref-type="bibr" rid="B35">Smith et&#xa0;al., 2010</xref>; <xref ref-type="bibr" rid="B13">Evans et&#xa0;al., 2020</xref>). In addition, experiments in relatively humid conditions have shown that the net effect of radiation shifts from &#x201c;photopriming&#x201d; to biological suppression with increasing precipitation (<xref ref-type="bibr" rid="B26">Moody et&#xa0;al., 2001</xref>; <xref ref-type="bibr" rid="B28">Pancotto et&#xa0;al., 2003</xref>; <xref ref-type="bibr" rid="B35">Smith et&#xa0;al., 2010</xref>). As future extreme precipitation is expected to increase, particularly in 40% of the global land area that is dryland (<xref ref-type="bibr" rid="B31">Reynolds et&#xa0;al., 2007</xref>; <xref ref-type="bibr" rid="B42">Yao et&#xa0;al., 2020</xref>), the mechanism of litter decomposition in global drylands will undergo fundamental changes. Therefore, understanding the mechanism of nutrient loss in the litter, particularly in arid ecosystems, is crucial for effectively predicting and managing global carbon and nutrient cycles.</p>
<p>In investigating our research questions, a comprehensive meta-analysis of photodegradation studies was conducted to examine the interactive effects of solar radiation and precipitation on litter decomposition on a global scale. Moreover, the impact of solar radiation on litter decomposition was evaluated across various mean annual precipitation (MAP). The following specific questions were addressed: (1) How does the effect of radiation on litter decomposition vary with different precipitation levels? (2) Whether do the key drivers of the response of mass loss to solar radiation in different precipitation levels change? (3) Whether and how does the mechanism of photodegradation vary with different precipitation levels?</p>
</sec>
<sec id="s2" sec-type="materials|methods">
<label>2</label>
<title>Materials and methods</title>
<sec id="s2_1">
<label>2.1</label>
<title>Meta-analysis</title>
<p>Our dataset for meta-analysis was obtained by extracting 351 data points from 37 articles found in the &#x201c;Web of Science&#x201d; database (<xref ref-type="fig" rid="f1">
<bold>Figure&#xa0;1</bold>
</xref>; <xref ref-type="supplementary-material" rid="SM1">
<bold>Table S1</bold>
</xref>). These articles were published between 1995 and 2022, which contained keywords such as &#x201c;UV&#x201d;, &#x201c;Ultraviolet radiation&#x201d;, &#x201c;radiation&#x201d;, &#x201c;light&#x201d;, &#x201c;irradiance&#x201d;, &#x201c;solar&#x201d;, &#x201c;photodegradation&#x201d;, &#x201c;decomposition&#x201d;, &#x201c;decay&#x201d;, and &#x201c;degradation&#x201d;. We ensured that the selection process was systematic to avoid publication bias and that the data met the following criteria: (1) experiments involving litter collections were conducted on a soil surface in natural terrestrial systems, excluding studies in lab and aquatic systems; (2) the overall litter decomposition characteristics (i.e., K value and mass loss), litter quality traits (i.e., C, N, C:N, lignin, or dissolved organic carbon (DOC)), or microbial growth characteristics (i.e., microbial biomass carbon (MBC) and CO<sub>2</sub> emission) were analyzed during the experiment; (3) control and treatment experiments were consistently maintained under the same abiotic and biotic conditions; (4) the litters were exposed to a minimum of two levels of UV radiation, with the treatment group being exposed to ambient UV and the control group being subjected to conditions in which UV was blocked or reduced; (5) only the latest results were collected for experimental observations spanning multiple years; (6) if an article included multiple sites and species, each species and site were treated as an independent study.</p>
<fig id="f1" position="float">
<label>Figure&#xa0;1</label>
<caption>
<p>Global map of the study sites distribution <bold>(A)</bold>, and local climate and biomes <bold>(B)</bold> in this meta-analysis.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fpls-14-1200155-g001.tif"/>
</fig>
<p>In estimating the interactive effect of precipitation and radiation on litter decomposition, the observation was divided into two types, namely, &#x201c;Radiation&#x201d; and &#x201c;Combine&#x201d;. &#x201c;Radiation&#x201d; studies included photodegradation experiments that did not receive extra water addition and included 351 data points. Meanwhile, &#x201c;Combine&#x201d; studies included photodegradation experiments that received extra water addition artificially and included 15 data points. The interactive effect of radiation and precipitation was obtained by comparing it to the treatment without radiation and water addition. However, given the insufficient data, the interactive effect between radiation and precipitation was not explored in depth. Therefore, the studies were categorized into the following four groups based on precipitation amounts, characteristics of precipitation distribution in the data, and precipitation characteristics of Koppen&#x2019;s climatic province (<xref ref-type="bibr" rid="B6">Beck et&#xa0;al., 2018</xref>): precipitation&lt; 200 mm, 200&#x2013;400 mm, 400&#x2013;800 mm, and &gt;800 mm, corresponding to arid, semiarid, subhumid, and humid lands. This technique allowed us to accurately estimate the interactive effect of precipitation and solar radiation on litter decomposition.</p>
<p>We extracted local site information, including latitude, longitude, mean annual temperature (MAT), MAP, experimental duration, and litter traits such as initial C, N, lignin, hemicellulose, cellulose, and DOC concentration, from the articles. Graphical data were obtained using Web Plot Digitizer 4.2. In evaluating the relationship between soil respiration and photodegradation, soil respiration data were retrieved from the Soil Respiration Database (SRDB V5) (<xref ref-type="bibr" rid="B19">Jian et&#xa0;al., 2021</xref>), which roughly corresponded to the geographic coordinates of the data points in the meta-analysis.</p>
</sec>
<sec id="s2_2">
<label>2.2</label>
<title>Data analysis</title>
<p>The meta-analysis was conducted using Metawin software. The impact of solar radiation alone and the interactive effect between solar radiation and precipitation on litter decomposition were evaluated through log response ratio (LnRR) as <xref ref-type="bibr" rid="B17">Hedges et&#xa0;al. (1999)</xref>:</p>
<disp-formula>
<mml:math display="block" id="M1">
<mml:mrow>
<mml:mtext>LnRR</mml:mtext>
<mml:mo>=</mml:mo>
<mml:mtext>Ln</mml:mtext>
<mml:mrow>
<mml:mo stretchy="false">(</mml:mo>
<mml:mrow>
<mml:mfrac>
<mml:mrow>
<mml:mi>X</mml:mi>
<mml:mi>t</mml:mi>
</mml:mrow>
<mml:mrow>
<mml:mi>X</mml:mi>
<mml:mi>c</mml:mi>
</mml:mrow>
</mml:mfrac>
</mml:mrow>
<mml:mo stretchy="false">)</mml:mo>
</mml:mrow>
<mml:mo>=</mml:mo>
<mml:mtext>Ln</mml:mtext>
<mml:mrow>
<mml:mo stretchy="false">(</mml:mo>
<mml:mrow>
<mml:mi>X</mml:mi>
<mml:mi>t</mml:mi>
</mml:mrow>
<mml:mo stretchy="false">)</mml:mo>
</mml:mrow>
<mml:mo>&#x2212;</mml:mo>
<mml:mtext>Ln</mml:mtext>
<mml:mrow>
<mml:mo stretchy="false">(</mml:mo>
<mml:mrow>
<mml:mi>X</mml:mi>
<mml:mi>c</mml:mi>
</mml:mrow>
<mml:mo stretchy="false">)</mml:mo>
</mml:mrow>
</mml:mrow>
</mml:math>
</disp-formula>
<p>and a variance:</p>
<disp-formula>
<mml:math display="block" id="M2">
<mml:mrow>
<mml:mi>v</mml:mi>
<mml:mo>=</mml:mo>
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<mml:msup>
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</mml:mrow>
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<mml:mn>2</mml:mn>
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<mml:mi>N</mml:mi>
<mml:mi>t</mml:mi>
<mml:msup>
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<mml:mrow>
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<mml:mi>X</mml:mi>
<mml:mi>t</mml:mi>
</mml:mrow>
<mml:mo stretchy="false">)</mml:mo>
</mml:mrow>
</mml:mrow>
<mml:mn>2</mml:mn>
</mml:msup>
</mml:mrow>
</mml:mfrac>
<mml:mo>+</mml:mo>
<mml:mfrac>
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<mml:mn>2</mml:mn>
</mml:msup>
</mml:mrow>
<mml:mrow>
<mml:mi>N</mml:mi>
<mml:mi>c</mml:mi>
<mml:msup>
<mml:mrow>
<mml:mrow>
<mml:mo stretchy="false">(</mml:mo>
<mml:mrow>
<mml:mi>X</mml:mi>
<mml:mi>c</mml:mi>
</mml:mrow>
<mml:mo stretchy="false">)</mml:mo>
</mml:mrow>
</mml:mrow>
<mml:mn>2</mml:mn>
</mml:msup>
</mml:mrow>
</mml:mfrac>
</mml:mrow>
</mml:math>
</disp-formula>
<p>where <italic>Xt</italic> and <italic>Xc</italic> are the mean values of each variable in treatment and in the control, <italic>St</italic> and <italic>Sc</italic> are the standard deviations, and <italic>Nt</italic> and <italic>Nc</italic> are sample size. The variance in mean LnRR was computed by 95% confidence intervals.</p>
<disp-formula>
<mml:math display="block" id="M3">
<mml:mrow>
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<mml:mi>c</mml:mi>
<mml:mo stretchy="false">)</mml:mo>
</mml:mrow>
</mml:math>
</disp-formula>
<p>where <inline-formula>
<mml:math display="inline" id="im1">
<mml:mrow>
<mml:mi>W</mml:mi>
</mml:mrow>
</mml:math>
</inline-formula> is the weighting factor for each LnRR datapoint. To assess the overall weighted response ratio (LnRR++) of litter decomposition to precipitation, we employed a random model to computed it.</p>
<disp-formula>
<mml:math display="block" id="M4">
<mml:mrow>
<mml:mtext>LnRR</mml:mtext>
<mml:mo>+</mml:mo>
<mml:mo>+</mml:mo>
<mml:mo>=</mml:mo>
<mml:mrow>
<mml:mo stretchy="false">(</mml:mo>
<mml:mrow>
<mml:mstyle displaystyle="true">
<mml:msub>
<mml:mo>&#x2211;</mml:mo>
<mml:mi>i</mml:mi>
</mml:msub>
<mml:mrow>
<mml:msub>
<mml:mrow>
<mml:mtext>LnRR</mml:mtext>
</mml:mrow>
<mml:mtext>i</mml:mtext>
</mml:msub>
</mml:mrow>
</mml:mstyle>
<mml:mo>&#x2217;</mml:mo>
<mml:msub>
<mml:mi>W</mml:mi>
<mml:mi>i</mml:mi>
</mml:msub>
</mml:mrow>
<mml:mo stretchy="false">)</mml:mo>
</mml:mrow>
<mml:mo stretchy="false">/</mml:mo>
<mml:mo stretchy="false">(</mml:mo>
<mml:mstyle displaystyle="true">
<mml:msub>
<mml:mo>&#x2211;</mml:mo>
<mml:mi>i</mml:mi>
</mml:msub>
<mml:mrow>
<mml:msub>
<mml:mi>W</mml:mi>
<mml:mi>i</mml:mi>
</mml:msub>
</mml:mrow>
</mml:mstyle>
<mml:mo stretchy="false">)</mml:mo>
</mml:mrow>
</mml:math>
</disp-formula>
<p>The variance in mean lnRR++ was computed by 95% confidence intervals (CIs), which were produced by bootstrapping function. Mean lnRR++ and its 95% confidence intervals (CIs) were used to calculate effect sizes:</p>
<disp-formula>
<mml:math display="block" id="M5">
<mml:mrow>
<mml:mtext>Effect&#xa0;size</mml:mtext>
<mml:mrow>
<mml:mo stretchy="false">(</mml:mo>
<mml:mo>%</mml:mo>
<mml:mo stretchy="false">)</mml:mo>
</mml:mrow>
<mml:mo>=</mml:mo>
<mml:mo stretchy="false">(</mml:mo>
<mml:msup>
<mml:mtext>e</mml:mtext>
<mml:mrow>
<mml:mtext>LnRR</mml:mtext>
<mml:mo>+</mml:mo>
<mml:mo>+</mml:mo>
</mml:mrow>
</mml:msup>
<mml:mo>&#x2212;</mml:mo>
<mml:mn>1</mml:mn>
<mml:mo stretchy="false">)</mml:mo>
<mml:mo>&#x2217;</mml:mo>
<mml:mn>100</mml:mn>
<mml:mo>%</mml:mo>
</mml:mrow>
</mml:math>
</disp-formula>
<p>The Q test was performed to evaluate between-group heterogeneity and the subcategories, including precipitation levels (&lt;200 mm, 200&#x2013;400 mm, 400&#x2013;800 mm, and &gt;800 mm), ecosystem types (forest, shrubland, and grassland), species (tree, shrub, and herb), and experimental duration (&lt;1 year, 1&#x2013;3 years, and &gt;3 years). Linear regression analysis was utilized to investigate the relationship between the LnRR of mass loss, carbon remaining, nitrogen remaining, lignin remaining, and geographic characteristics and initial litter traits, including latitude, longitude, MAT, MAP, soil respiration, initial carbon, nitrogen, lignin, and experimental duration. In addition, random-forest analysis was used to rank the importance of factors influencing the response of litter mass loss, which was determined using the percent increase in mean square error (%IncMSE) metric. Negative %IncMSE values indicate the lack of importance of predictors (<xref ref-type="bibr" rid="B22">Liaw and Wiener, 2002</xref>).</p>
</sec>
</sec>
<sec id="s3" sec-type="results">
<label>3</label>
<title>Results</title>
<sec id="s3_1">
<label>3.1</label>
<title>Responses of litter decomposition to solar radiation in a global scale</title>
<p>Solar radiation played a significant role in litter decomposition (<xref ref-type="fig" rid="f2">
<bold>Figure&#xa0;2</bold>
</xref>). The results of the sole solar radiation treatment revealed that solar radiation increased mass loss by 17.89%; reduced C remaining by 7.41%, N  remaining by 9.28%, cellulose remaining by 4.24%, hemicellulose remaining  by 23.92%, lignin remaining by 21.62%, and MBC by 3.70%; and increased CO<sub>2</sub> emission by 9.99%. In the combined treatment, mass loss was increased by 18.05%, and C remaining was decreased by 8.73%, whereas CO<sub>2</sub> emission was increased slightly by 0.20%. No significant difference in mass loss and C remaining was observed between the &#x201c;Radiation&#x201d; and &#x201c;Combined&#x201d; treatments. In addition, mass loss, C remaining, and N remaining had no significant difference among different experimental durations but had remarkable differences in different ecosystems and species, which closely correlated with precipitation in our database (<xref ref-type="supplementary-material" rid="SM1">
<bold>Figure S1</bold>
</xref>).</p>
<fig id="f2" position="float">
<label>Figure&#xa0;2</label>
<caption>
<p>Responses of litter decomposition variables to solar radiation were examined through sole radiation treatment (Radiation) and the combination of water addition and radiation treatment (Combine). The results are presented as LnRR++ with 95%CI. The numbers indicate the number of data observations. Black points indicate a significant effect, whereas grey points indicate an insignificant effect. The indexes used are as follows: K = K value, Mass = mass loss, C = carbon remaining, N = nitrogen remaining, DOC = dissolved organic carbon concentration, Lignin = lignin remaining, MBC = microbial biomass carbon, and CO<sub>2</sub> = CO<sub>2</sub> emission from litter decomposition. Numbers indicate the number of data observations.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fpls-14-1200155-g002.tif"/>
</fig>
<p>In assessing the influence of precipitation on the net effect of solar radiation, we verify whether the response of litter decomposition to solar radiation varies with precipitation amount. Significant variations in the effect of solar radiation on litter decomposition and CO<sub>2</sub> emission were observed across different precipitation levels (<xref ref-type="fig" rid="f3">
<bold>Figure&#xa0;3</bold>
</xref>). Mass loss was significantly increased by 25.33% and 17.46% at precipitation levels below 200 mm and above 800 mm, whereas the increase was only 4.90% and 13.13% at precipitation levels of 200&#x2013;400 mm and 400&#x2013;800 mm, respectively. Similarly, the C remaining was reduced by 9.67% and 9.85% at precipitation levels below 200 mm and above 800 mm, respectively, and by 1.99% at a precipitation level of 200&#x2013;400 mm. The N remaining was reduced by 15.17% and 16.30% at precipitation levels below 200 mm and above 800 mm but only 1.07% and 3.55% at precipitation levels of 200&#x2013;400 mm and 400&#x2013;800 mm, respectively. The reduction of the hemicellulose and lignin remaining was also greater at precipitation levels below 200 mm than that at other levels. Solar radiation significantly increased CO<sub>2</sub> emission by 13.97%, but it only showed a slight effect at precipitation levels of 200&#x2013;400 mm and 400&#x2013;800 mm.</p>
<fig id="f3" position="float">
<label>Figure&#xa0;3</label>
<caption>
<p>Effects of solar radiation on litter decomposition variables at different precipitation levels: &lt;200mm, 200&#x2013;400 mm, 400&#x2013;800 mm, and &gt;800 mm. Results were presented as LnRR++ with 95% confidence intervals. Numbers indicate the number of data observations. P indicates the result of the between-group heterogeneity test (QB) at different precipitation levels.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fpls-14-1200155-g003.tif"/>
</fig>
</sec>
<sec id="s3_2">
<label>3.2</label>
<title>The relationships between the response ratio of mass loss and various factors</title>
<p>The results showed that the response of mass loss to solar radiation was only negatively related to soil respiration, initial lignin concentration, and ln(MAP) on a global scale (<xref ref-type="fig" rid="f4">
<bold>Figure&#xa0;4</bold>
</xref>). The response of C remaining showed a positive relationship with latitude, longitude, and initial lignin concentration and a negative relationship with MAT and experimental duration (<xref ref-type="supplementary-material" rid="SM1">
<bold>Figure S2</bold>
</xref>). The response of N remaining was positively related to latitude, ln(MAP), soil respiration, initial C, and initial lignin concentration and negatively related to MAT (<xref ref-type="supplementary-material" rid="SM1">
<bold>Figure S3</bold>
</xref>). The response of lignin remaining was positively related to ln(MAP), initial C, and initial lignin concentration and negatively related to initial N and experimental duration (<xref ref-type="supplementary-material" rid="SM1">
<bold>Figure S4</bold>
</xref>).</p>
<fig id="f4" position="float">
<label>Figure&#xa0;4</label>
<caption>
<p>Relationships between the log response ratio (LnRR) of mass loss (Mass Loss) and various factors, including latitude, longitude, MAT, ln(MAP), soil respiration, initial litter C, N, lignin concentration, and experimental duration, as well as the log response ratios (LnRR) of the litter C and N remaining to solar radiation.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fpls-14-1200155-g004.tif"/>
</fig>
</sec>
<sec id="s3_3">
<label>3.3</label>
<title>Dominant factors regulating the responses of mass loss to radiation</title>
<p>On a global scale, random-forest analysis revealed that several factors were significantly associated with the effects of solar radiation on mass loss, including latitude, initial lignin concentration, experimental duration, MAT, MAP, longitude, and soil respiration (<xref ref-type="fig" rid="f5">
<bold>Figure&#xa0;5</bold>
</xref>). When precipitation was less than 200 mm, MAP plays an important role in regulating the response of mass loss to radiation. However, as precipitation increased, the relative importance of MAP in regulating mass loss decreased with MAP exerting no significant effect on the response ratio when the precipitation level was between 400&#x2013;800 mm and &gt;800 mm. At a precipitation level of 400&#x2013;800 mm, soil respiration plays an important role in regulating the ratio, and the initial litter trait such as initial N and lignin concentration became increasingly important in driving the response of mass loss to radiation when the precipitation level was &gt;800 mm.</p>
<fig id="f5" position="float">
<label>Figure&#xa0;5</label>
<caption>
<p>Random forest analysis was used to assess the importance of predictors of the log response ratio of mass loss to solar radiation on the global scale at precipitation levels of&lt;200 mm, 200&#x2013;400 mm, 400&#x2013;800 mm, and &gt;800 mm. The purple bar indicates the predictors that significantly influence mass loss, and the white bar indicates the predictors that exerted no significant influence on mass loss.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fpls-14-1200155-g005.tif"/>
</fig>
</sec>
</sec>
<sec id="s4" sec-type="discussion">
<label>4</label>
<title>Discussion</title>
<sec id="s4_1">
<label>4.1</label>
<title>Effects of the interactive effect on litter decomposition</title>
<p>Solar radiation is a critical factor in the regulation of litter decomposition. Our findings are consistent with previous research, demonstrating that solar radiation significantly increases mass loss in sole radiation and combined treatment. Moreover, the response of litter decomposition to solar radiation is closely related to MAP (<xref ref-type="fig" rid="f4">
<bold>Figure&#xa0;4</bold>
</xref>). In addition, no significant difference in the effect of solar radiation on mass loss is found among lands with precipitation levels below 200 mm and above 800 mm, which was higher than in other areas (<xref ref-type="fig" rid="f3">
<bold>Figure&#xa0;3</bold>
</xref>). In general, radiation plays a significant role in litter decomposition in extremely arid lands, (<xref ref-type="bibr" rid="B21">King et&#xa0;al., 2012</xref>; <xref ref-type="bibr" rid="B4">Austin et&#xa0;al., 2016</xref>; <xref ref-type="bibr" rid="B7">Berenstecher et&#xa0;al., 2020</xref>), whereas the contribution of photodegradation decreases in relatively humid ecosystems because of the increased microbes and plant canopy (<xref ref-type="bibr" rid="B12">Egidi et&#xa0;al., 2023</xref>; <xref ref-type="bibr" rid="B35">Smith et&#xa0;al., 2010</xref>; <xref ref-type="bibr" rid="B13">Evans et&#xa0;al., 2020</xref>). Contrary to previous studies indicating that radiation generally has a negligible effect on litter decomposition in wet ecosystems (<xref ref-type="bibr" rid="B27">Newsham et&#xa0;al., 1997</xref>; <xref ref-type="bibr" rid="B26">Moody et&#xa0;al., 2001</xref>), our results suggested that litter decomposition has a greater response to radiation at a precipitation level of &gt;800 mm than those at 200&#x2013;400 mm and 400&#x2013;800 mm. These results answered questions (1) and (3), that is, the effect of radiation initially decreases and then increases with different precipitation levels, indicating that precipitation can change the litter decomposition mechanism. This result might be due to the condition of microbes in humid ecosystems where microbial biomass and diversity are significantly higher than in other areas, and previous research has shown that several soluble materials are produced by microbes, which exerted a positive effect on litter photodegradation (<xref ref-type="bibr" rid="B14">Gallo et&#xa0;al., 2006</xref>; <xref ref-type="bibr" rid="B3">Austin et&#xa0;al., 2009</xref>; <xref ref-type="bibr" rid="B35">Smith et&#xa0;al., 2010</xref>).</p>
<p>Classical models of global carbon turnover often fail to consider the impact of photodegradation on C loss during litter decomposition as previous studies have consistently neglected this factor. Our study suggests that sole radiation treatment and combined treatment had a significant but relatively minor effect on C remaining; however, a significant difference in precipitation amounts was observed (<xref ref-type="fig" rid="f3">
<bold>Figure&#xa0;3</bold>
</xref>). The response of C remaining to solar radiation was higher in areas with a precipitation level of&lt;200 mm compared with other regions (except for a precipitation level of &gt;800 mm). Similarly, the proportion of C, including cellulose, hemicellulose, and lignin, showed significant changes at a precipitation level of&lt;200 mm, which supports our previous conclusion, that is, solar radiation has a greater impact in arid regions (<xref ref-type="bibr" rid="B35">Smith et&#xa0;al., 2010</xref>; <xref ref-type="bibr" rid="B18">Huang and Li, 2017</xref>). Solar radiation only decreased the lignin remaining at a precipitation level of&lt;200 mm, and the mass loss and C, N, and lignin remaining had significant relationships with the initial litter lignin concentration (<xref ref-type="fig" rid="f4">
<bold>Figures&#xa0;4</bold>
</xref>, <xref ref-type="supplementary-material" rid="SM1">
<bold>S2</bold>
</xref>&#x2013;<xref ref-type="supplementary-material" rid="SM1">
<bold>S4</bold>
</xref>), which is consistent with previous studies that have shown that lignin is the main target of photodegradation (<xref ref-type="bibr" rid="B5">Austin and Vivanco, 2006</xref>; <xref ref-type="bibr" rid="B21">King et&#xa0;al., 2012</xref>). Furthermore, solar radiation had a minor impact on lignin in other regions, particularly in areas where precipitation was greater than 800 mm, exhibiting similar mass loss and responses of C and N remaining to solar radiation in regions with a precipitation level of less than 200 mm (<xref ref-type="fig" rid="f3">
<bold>Figure&#xa0;3</bold>
</xref>). This finding indicated that lignin is more susceptible to solar radiation than to microbial decomposition (<xref ref-type="bibr" rid="B37">Vanderbilt et&#xa0;al., 2008</xref>; <xref ref-type="bibr" rid="B9">Bontti et&#xa0;al., 2009</xref>; <xref ref-type="bibr" rid="B38">Wang et&#xa0;al., 2015</xref>), which can directly absorb ultraviolet and short-wave visible light and produce smaller organic compounds (<xref ref-type="bibr" rid="B5">Austin and Vivanco, 2006</xref>; <xref ref-type="bibr" rid="B21">King et&#xa0;al., 2012</xref>). The relationship between the response of the lignin remaining and MAP also supports our view as the extent of the lignin remaining decreases with the increase of MAP (<xref ref-type="supplementary-material" rid="SM1">
<bold>Figure S4</bold>
</xref>). Therefore, increasing precipitation in the future will influence the mechanism driving lignin decomposition by altering the dominance of photodegradation and microbial decomposition. In addition, solar radiation increased litter DOC concentration at a precipitation level of&lt;200 mm, although the effect was not significant. We can partly predict that the DOC concentration will increase with the increase in precipitation because of the breakdown and leaching effects (<xref ref-type="bibr" rid="B35">Smith et&#xa0;al., 2010</xref>; <xref ref-type="bibr" rid="B2">Austin, 2011</xref>; <xref ref-type="bibr" rid="B18">Huang and Li, 2017</xref>). This phenomenon will generate a positive feedback loop that improves litter decomposition decay because of its susceptibility to radiation and the provision of high-quality labile carbon to microbes.</p>
<p>Microbial activity primarily regulates the dynamics of litter N, with initial N continuously increasing because of microbial immobilization for growth, followed by a decrease as microbes mineralize N in later stages of decomposition (<xref ref-type="bibr" rid="B10">Brandt et&#xa0;al., 2007</xref>; <xref ref-type="bibr" rid="B35">Smith et&#xa0;al., 2010</xref>; <xref ref-type="bibr" rid="B38">Wang et&#xa0;al., 2015</xref>). In sole solar radiation treatment, N immobilization decreased (<xref ref-type="fig" rid="f2">
<bold>Figure&#xa0;2</bold>
</xref>), with a greater decline at a precipitation level of&lt;200 mm (<xref ref-type="fig" rid="f3">
<bold>Figure&#xa0;3</bold>
</xref>). This trend is consistent with solar radiation exposure reducing microbial activity because biotic processes are inhibited (<xref ref-type="bibr" rid="B25">McLeod et&#xa0;al., 2008</xref>; <xref ref-type="bibr" rid="B16">Gliksman et&#xa0;al., 2017</xref>; <xref ref-type="bibr" rid="B18">Huang and Li, 2017</xref>; <xref ref-type="bibr" rid="B24">Marinho et&#xa0;al., 2020</xref>). However, the response of N remaining to solar radiation was not significant when precipitation was between 200-400 mm and 400-800 mm. These neutral results indicated that microbes are more resilient to the negative effects of radiation when moisture is not limited, and models of litter N dynamics should consider the mitigating effects of precipitation on microbial activity (<xref ref-type="bibr" rid="B21">King et&#xa0;al., 2012</xref>; <xref ref-type="bibr" rid="B4">Austin et&#xa0;al., 2016</xref>; <xref ref-type="bibr" rid="B7">Berenstecher et&#xa0;al., 2020</xref>). Compared with the moderately negative effect in areas with precipitation between 200&#x2013;400 mm and 400&#x2013;800 mm, the negative effect of radiation on N immobilization is stronger in humid ecosystems (precipitation &gt;800 mm) where microbial decomposition dominantly regulates the process. In wet ecosystems, solar radiation can speed up nitrogen mineralization by microorganisms, thereby reducing the nitrogen remaining (<xref ref-type="bibr" rid="B35">Smith et&#xa0;al., 2010</xref>; <xref ref-type="bibr" rid="B41">Wei et&#xa0;al., 2022</xref>). Therefore, microbial decomposition is typically faster in areas with higher moisture content and more likely to progress to later stages of degradation (<xref ref-type="bibr" rid="B5">Austin and Vivanco, 2006</xref>; <xref ref-type="bibr" rid="B35">Smith et&#xa0;al., 2010</xref>; <xref ref-type="bibr" rid="B16">Gliksman et&#xa0;al., 2017</xref>). Thus, conducting long-term and short-term interactive N dynamic studies in different ecosystems is necessary to provide a comprehensive understanding of the interactive effects of multiple factors on N dynamics.</p>
</sec>
<sec id="s4_2">
<label>4.2</label>
<title>Effects of the interactive effect on microbial activity and CO<sub>2</sub> emission</title>
<p>The inhibition of microorganisms by radiation may occur through several distinct mechanisms, such as DNA damage and decreased spore germination (<xref ref-type="bibr" rid="B26">Moody et&#xa0;al., 2001</xref>; <xref ref-type="bibr" rid="B20">Johnson, 2003</xref>; <xref ref-type="bibr" rid="B5">Austin and Vivanco, 2006</xref>; <xref ref-type="bibr" rid="B29">Parton et&#xa0;al., 2007</xref>; <xref ref-type="bibr" rid="B2">Austin, 2011</xref>), and modifications to the structure of microbial communities (<xref ref-type="bibr" rid="B28">Pancotto et&#xa0;al., 2003</xref>; <xref ref-type="bibr" rid="B35">Smith et&#xa0;al., 2010</xref>; <xref ref-type="bibr" rid="B34">Sala et&#xa0;al., 2015</xref>; <xref ref-type="bibr" rid="B24">Marinho et&#xa0;al., 2020</xref>). Although the precise role of water in this process remains unclear, microorganisms are more resilient to harm when not experiencing water stress. However, our meta-analysis found that solar radiation had a negative impact on MBC, particularly in ecosystems with high precipitation (&gt;800 mm), whereas MBC increased in ecosystems with low precipitation (&lt;200 mm) probably because the positive effect of photodegradation on microbial activity offsets the negative&#xa0;effect in arid lands. As the moisture level increases, the primary effect of radiation on litter decomposition may transition from &#x201c;photopriming&#x201d; to the suppression of microorganisms. However, given the restricted availability of MBC data, further experiments must be conducted to confirm this conclusion. Therefore, conducting experiments in the future is necessary to examine the interaction between water and radiation on MBC and elucidate the changes in the mechanism of litter decomposition under increasing precipitation. In addition, although the change in MBC was unclear, CO<sub>2</sub> emission increased across all treatments and precipitation levels (except 200-400 mm). This increase was due to the emission of C-based trace gases produced by the photochemical mineralization of recalcitrant compounds (<xref ref-type="bibr" rid="B25">McLeod et&#xa0;al., 2008</xref>; <xref ref-type="bibr" rid="B33">Rutledge et&#xa0;al., 2010</xref>). However, the response of CO<sub>2</sub> emission to solar radiation decreased with the increase of precipitation compared with the response when the precipitation level was&lt;200 mm. This finding provides a new insight into the influence of precipitation on CO<sub>2</sub> emission, where CO<sub>2</sub> emission may significantly change with the increase of precipitation in photodegradation ways, particularly in xeric lands. However, given the data limitations, CO<sub>2</sub> obtained from global photomineralized sources cannot be quantified. Thus, future research projects are necessary to gain a more integrated understanding of the effects of radiation on CO<sub>2</sub> emission.</p>
</sec>
<sec id="s4_3">
<label>4.3</label>
<title>Dominant factors regulating the responses of the mass loss to solar radiation</title>
<p>The impact of solar radiation on litter decomposition is complex, and it varies depending on its magnitude and other factors. On a global scale, latitude and initial lignin concentration play crucial roles in regulating the response ratio of mass loss to solar radiation. This finding supports earlier studies that consider lignin as the primary target for photodegradation (<xref ref-type="bibr" rid="B5">Austin and Vivanco, 2006</xref>; <xref ref-type="bibr" rid="B10">Brandt et&#xa0;al., 2007</xref>; <xref ref-type="bibr" rid="B39">Wang et&#xa0;al., 2022</xref>). Similarly, initial litter traits, such as N and lignin concentration, play important roles in regulating the response ratio of mass loss to solar radiation at a precipitation level of &gt;800 mm, which might be due to no moisture limitation in this region; moreover, intense microbial activity was observed, and the photodegradation activity was not limited by other factors (<xref ref-type="bibr" rid="B11">Co&#xfb;teaux et&#xa0;al., 1995</xref>). However, climatic factors appear to have a greater influence on litter decomposition than initial litter traits in ecosystems that are moisture limited, which answers our second question (2) and presents challenges in predicting global litter decomposition. With the expected increase in precipitation in the future, MAP may become more significant and affect CO<sub>2</sub> emission through leaching and microbial growth. Therefore, long-term experiments that consider biotic and abiotic factors, including MAP, are essential for predicting litter decomposition and CO<sub>2</sub> emission in a changing climate.</p>
</sec>
</sec>
<sec id="s5" sec-type="conclusions">
<label>5</label>
<title>Conclusion and prospects</title>
<p>We conducted a meta-analysis and found that the effect of radiation on litter decomposition depends on the magnitude of MAP. In particular, a similar effect of radiation on litter mass loss was observed in arid lands and humid ecosystems, and precipitation can increase resilience to the negative effects of radiation on microbes. Furthermore, the mechanism of litter decomposition and the regulatory factors of photodegradation would change with increasing precipitation. Moreover, radiation increased the CO<sub>2</sub> emission rate for all precipitation amounts, particularly in arid lands. As precipitation continues to increase in the future, litter decomposition, carbon cycling, and CO<sub>2</sub> emission caused by photodegradation may change significantly.</p>
<p>We also found that the heterogeneity of radiation&#x2019;s impact on litter decomposition can be explained by climatic factors and initial litter traits. This knowledge may help us comprehensively understand the mechanism by which radiation affects litter decomposition and CO<sub>2</sub> emission in different ecosystems. Future studies should focus on investigating the interactive effect of precipitation and solar radiation on litter decomposition and microbial activity in relatively humid ecosystems to obtain a comprehensive understanding of how climate change will affect litter decomposition. Furthermore, more research must be conducted to accurately assess the effect of radiation on CO<sub>2</sub> emission caused by photodegradation. A comprehensive understanding of the contribution of biodegradation and photodegradation to litter decomposition will help us in predicting how litter decomposition will respond to climate change.</p>
</sec>
<sec id="s6" sec-type="data-availability">
<title>Data availability statement</title>
<p>The original contributions presented in the study are included in the article/<xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Material</bold>
</xref>. Further inquiries can be directed to the corresponding author.</p>
</sec>
<sec id="s7" sec-type="author-contributions">
<title>Author contributions</title>
<p>YL analyzed data and wrote the manuscript. LL and XL conceived the work and supervised the research. SW contributed to analyze the manuscript. All authors contributed to the article and approved the submitted version.</p>
</sec>
</body>
<back>
<sec id="s8" sec-type="funding-information">
<title>Funding</title>
<p>This research was supported by the National Natural Science Foundation of China (42171066; 41877420); West Light Foundation of The Chinese Academy of Sciences (2019-FPGGRC).</p>
</sec>
<sec id="s9" sec-type="COI-statement">
<title>Conflict of interest</title>
<p>The 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 id="s10" sec-type="disclaimer">
<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>
<sec id="s11" sec-type="supplementary-material">
<title>Supplementary material</title>
<p>The Supplementary Material for this article can be found online at: <ext-link ext-link-type="uri" xlink:href="https://www.frontiersin.org/articles/10.3389/fpls.2023.1200155/full#supplementary-material">https://www.frontiersin.org/articles/10.3389/fpls.2023.1200155/full#supplementary-material</ext-link>
</p>
<supplementary-material xlink:href="DataSheet_1.docx" id="SM1" mimetype="application/vnd.openxmlformats-officedocument.wordprocessingml.document"/>
</sec>
<ref-list>
<title>References</title>
<ref id="B1">
<citation citation-type="journal">
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