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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Sustain. Food Syst.</journal-id>
<journal-title>Frontiers in Sustainable Food Systems</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Sustain. Food Syst.</abbrev-journal-title>
<issn pub-type="epub">2571-581X</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3389/fsufs.2025.1614139</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Sustainable Food Systems</subject>
<subj-group>
<subject>Original Research</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>Organic fertilizer in combination with zeolite enhanced maize yield with lower greenhouse gas emissions in sandy loam soil in North China</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname>Wang</surname>
<given-names>Xuexia</given-names>
</name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<uri xlink:href="https://loop.frontiersin.org/people/1560198/overview"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-original-draft/"/>
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</contrib>
<contrib contrib-type="author">
<name>
<surname>Wang</surname>
<given-names>Jiachen</given-names>
</name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/>
<role content-type="https://credit.niso.org/contributor-roles/methodology/"/>
<role content-type="https://credit.niso.org/contributor-roles/conceptualization/"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Yan</surname>
<given-names>Peirui</given-names>
</name>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
<role content-type="https://credit.niso.org/contributor-roles/software/"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-original-draft/"/>
<role content-type="https://credit.niso.org/contributor-roles/formal-analysis/"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Zuo</surname>
<given-names>Qiang</given-names>
</name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<role content-type="https://credit.niso.org/contributor-roles/writing-original-draft/"/>
<role content-type="https://credit.niso.org/contributor-roles/data-curation/"/>
<role content-type="https://credit.niso.org/contributor-roles/supervision/"/>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Sun</surname>
<given-names>Qinping</given-names>
</name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="corresp" rid="c001"><sup>&#x002A;</sup></xref>
<role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/>
<role content-type="https://credit.niso.org/contributor-roles/project-administration/"/>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Liu</surname>
<given-names>Dongsheng</given-names>
</name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="corresp" rid="c001"><sup>&#x002A;</sup></xref>
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</contrib-group>
<aff id="aff1"><sup>1</sup><institution>Institute of Plant Nutrition, Resources and Environment, Beijing Academy of Agriculture and Forestry Sciences</institution>, <addr-line>Beijing</addr-line>, <country>China</country></aff>
<aff id="aff2"><sup>2</sup><institution>Soil and Fertilizer Workstation of Mangshi City</institution>, <addr-line>Mangshi</addr-line>, <country>China</country></aff>
<author-notes>
<fn fn-type="edited-by" id="fn0001">
<p>Edited by: <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/155072/overview">Mohamed Trigui</ext-link>, Institut Pr&#x00E9;paratoire aux Etudes d'Ing&#x00E9;nieur de Sfax (IPEIS), Tunisia</p>
</fn>
<fn fn-type="edited-by" id="fn0002">
<p>Reviewed by: <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/2384818/overview">Himanshi Jangir</ext-link>, University of Petroleum and Energy Studies, India</p>
<p><ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/1435744/overview">Inga Grinfelde</ext-link>, Latvia University of Agriculture, Latvia</p>
<p><ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/2506097/overview">Eleonora Cataldo</ext-link>, University of Florence, Italy</p>
</fn>
<corresp id="c001">&#x002A;Correspondence: Qinping Sun, <email>sunqinping@baafs.net.cn</email> Dongsheng Liu, <email>Llslds@163.com</email></corresp>
</author-notes>
<pub-date pub-type="epub">
<day>05</day>
<month>09</month>
<year>2025</year>
</pub-date>
<pub-date pub-type="collection">
<year>2025</year>
</pub-date>
<volume>9</volume>
<elocation-id>1614139</elocation-id>
<history>
<date date-type="received">
<day>18</day>
<month>04</month>
<year>2025</year>
</date>
<date date-type="accepted">
<day>21</day>
<month>08</month>
<year>2025</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#x00A9; 2025 Wang, Wang, Yan, Zuo, Sun and Liu.</copyright-statement>
<copyright-year>2025</copyright-year>
<copyright-holder>Wang, Wang, Yan, Zuo, Sun and Liu</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 id="sec1">
<title>Introduction</title>
<p>There is limited knowledge about how co-applying organic fertilizer and zeolite influences maize yield and soil greenhouse gas (GHG) emissions in sandy loam soil.</p>
</sec>
<sec id="sec2">
<title>Methods</title>
<p>In the present study, a 3-year maize field experiment was conducted on a sandy loam soil in the North China Plain with five treatments: no added fertilizer (control, CK), synthetic fertilizer (SF), organic fertilizer replacing 30% synthetic N fertilizer (OF), synthetic fertilizer with zeolite (ZSF), and organic fertilizer with zeolite (ZOF).</p>
</sec>
<sec id="sec3">
<title>Results</title>
<p>Results showed that, compared with the SF treatment, the ZOF treatment significantly increased yield by 14.72&#x2013;23.61% in each of the 3&#x202F;years, ZSF by 13.91&#x2013;15.59% in 2022 and 2023, and OF by 16.92% in 2023. Compared with ZSF, the cumulative CO<sub>2</sub> emission was significantly increased by 4.52% in OF in 2023. Compared with SF, the average N<sub>2</sub>O emission flux and cumulative (over 2022 and 2023) N<sub>2</sub>O emissions were significantly reduced by 6.74&#x2013;8.23% and 6.10&#x2013;8.79% by OF, 9.29&#x2013;11.86% and 9.23&#x2013;10.85% by ZSF, and 7.59&#x2013;11.24% and 12.27&#x2013;16.06% by ZOF, respectively. Compared with SF, the total global warming potential (GWP) was significantly lower by 4.78% in ZOF in 2023, the greenhouse gas intensity (GHGI) was significantly lower over the 3&#x202F;years of trials by 6.45&#x2013;15.31% and 14.16&#x2013;21.06% in treatments ZSF and ZOF, respectively, and was significantly lower by 10.53&#x2013;13.13% in OF in 2022 and 2023. Compared with SF, the levels of available potassium and phosphorus content, dissolved organic carbon content, soil <italic>&#x03B2;</italic>-glucosidase activity, and microbial biomass carbon and nitrogen concentration in the ZOF treatment were significantly higher by 7.34, 8.90, 19.48, 9.20, 8.42, and 11.29%, respectively; however, soil NH<sub>4</sub><sup>+</sup>-N and NO<sub>3</sub><sup>&#x2212;</sup>-N were significantly lower by 9.08 and 9.30%, respectively. The beneficial yield effects were due mainly to the enhanced synchronization of nutrient availability, soil moisture, and microbial biomass, while the mitigation of N<sub>2</sub>O emission was mainly attributed to the decreasing soil NO<sub>3</sub><sup>&#x2212;</sup> and NH<sub>4</sub><sup>+</sup> concentrations in response to ZOF.</p>
</sec>
<sec id="sec4">
<title>Conclusion</title>
<p>Applying both organic fertilizer and zeolite achieved increased maize yield and positive environmental benefits. This strategy could be adopted to improve maize production, mitigate greenhouse effects caused by N<sub>2</sub>O emissions, and improve soil quality in sandy loam soils.</p>
</sec>
</abstract>
<kwd-group>
<kwd>greenhouse gas emissions</kwd>
<kwd>maize yield</kwd>
<kwd>sandy loam soils</kwd>
<kwd>combined organic fertilizer and zeolite</kwd>
<kwd>soil quality</kwd>
</kwd-group>
<counts>
<fig-count count="7"/>
<table-count count="2"/>
<equation-count count="4"/>
<ref-count count="62"/>
<page-count count="15"/>
<word-count count="11578"/>
</counts>
<custom-meta-wrap>
<custom-meta>
<meta-name>section-at-acceptance</meta-name>
<meta-value>Crop Biology and Sustainability</meta-value>
</custom-meta>
</custom-meta-wrap>
</article-meta>
</front>
<body>
<sec sec-type="intro" id="sec5">
<label>1</label>
<title>Introduction</title>
<p>Greenhouse gas (GHG) emissions from agricultural ecosystems, especially carbon dioxide (CO<sub>2</sub>), methane (CH<sub>4</sub>), and nitrous oxide (N<sub>2</sub>O), are increasing globally as a result of anthropogenic activities (<xref ref-type="bibr" rid="ref46">Shakoor et al., 2021</xref>), and this has become a serious environmental concern (<xref ref-type="bibr" rid="ref63">Zhong et al., 2021</xref>). Agriculture is recognized as a significant contributor to GHG emissions, accounting for nearly 12% of global anthropogenic emissions (<xref ref-type="bibr" rid="ref29">Linquist et al., 2012</xref>). Meanwhile, enhancing agricultural productivity is essential for feeding the burgeoning global population. With limited arable land resources, agricultural intensification serves as an effective strategy for ensuring food security for the world&#x2019;s population (<xref ref-type="bibr" rid="ref24">Kamran et al., 2018</xref>; <xref ref-type="bibr" rid="ref44">Sapkota et al., 2020</xref>); however, these agronomic practices are closely associated with substantial GHG emissions (<xref ref-type="bibr" rid="ref8">Chataut et al., 2023</xref>). Consequently, understanding the impacts of soil emissions of GHGs and identifying optimal agronomic interventions in order to strike a balance between crop production and soil GHG emissions is crucial for advancing sustainable agricultural production.</p>
<p>The North China Plain is a major cereal production region, accounting for 28% of the China&#x2019;s total maize production. In this region, sandy loam soils (&#x003E;45% sand content) is one of the predominant types of farmland soil. Owing to its low clay content, this soil type has an inherently limited ability to form aggregates which, in turn, restricts its water-holding capacity and soil carbon sequestration (<xref ref-type="bibr" rid="ref19">Huang and Hartemink, 2020</xref>; <xref ref-type="bibr" rid="ref11">Colunga et al., 2025</xref>). The limited nutrient composition of this soil, along with its low cation-exchange capacity, further exacerbate leaching losses of available nutrients and compromise soil fertility retention. Additionally, the restricted water availability and erratic precipitation patterns in North China limit primary productivity, leading to inherently low farmland productivity in these areas (<xref ref-type="bibr" rid="ref37">Nielsen and Ball, 2015</xref>). In this region, fertilizer application plays a decisive role in enhancing maize production but is inextricably linked with stimulating soil GHG emissions (<xref ref-type="bibr" rid="ref49">Tan et al., 2017</xref>; <xref ref-type="bibr" rid="ref12">Cui et al., 2018</xref>; <xref ref-type="bibr" rid="ref20">Huang et al., 2024</xref>; <xref ref-type="bibr" rid="ref53">Wang et al., 2024</xref>). Decades of excessive fertilization and suboptimal management practices have collectively degraded soil quality (particularly in physicochemical and biological properties) and intensified GHG emissions across the region.</p>
<p>To restore soil quality, improve agricultural resilience and production, and mitigate GHG emissions, various mitigation and adaptation strategies are being explored, including conservation tillage, organic matter incorporation, and application of soil amendments such as biochar, bentonite, and zeolite (<xref ref-type="bibr" rid="ref1">Abbott and Hinz, 2012</xref>; <xref ref-type="bibr" rid="ref60">Zhang et al., 2019</xref>; <xref ref-type="bibr" rid="ref52">Tzanakakis et al., 2021</xref>). These measures are often integrated within a system-based approach. The application of organic matter and zeolite has been considered a long-term strategy to improve productivity and sustainability of agricultural cropping systems on sandy soils (<xref ref-type="bibr" rid="ref48">Szerement et al., 2021</xref>; <xref ref-type="bibr" rid="ref52">Tzanakakis et al., 2021</xref>; <xref ref-type="bibr" rid="ref56">Wu et al., 2024</xref>).</p>
<p>Previous research had demonstrated that, in comparison with the application of synthetic fertilizers, the use of organic fertilizers is more effective at promoting profitable crop production, improving soil quality, enhancing carbon sequestration, and alleviating environmental burdens and abiotic stress in general (<xref ref-type="bibr" rid="ref31">Liu et al., 2015</xref>; <xref ref-type="bibr" rid="ref58">Yan et al., 2023</xref>; <xref ref-type="bibr" rid="ref56">Wu et al., 2024</xref>; <xref ref-type="bibr" rid="ref6">Cataldo et al., 2024</xref>). Recent meta-analysis has revealed that, due to the presence in organic fertilizer of a number of nutrient elements as well as organic matter, substituting a certain proportion of synthetic N fertilizer with organic fertilizer holds the potential to reduce soil emissions of N<sub>2</sub>O and CO<sub>2</sub> (<xref ref-type="bibr" rid="ref27">Liang et al., 2024</xref>; <xref ref-type="bibr" rid="ref62">Zheng et al., 2024</xref>). However, some studies have indicated that the combined application of organic fertilizer and synthetic N can lead to increased N&#x2082;O and CO&#x2082; emissions when compared with the application of synthetic N alone (<xref ref-type="bibr" rid="ref22">Jaiswal et al., 2024</xref>; <xref ref-type="bibr" rid="ref33">Liu et al., 2023</xref>). Overall, the impact of organic fertilizer on N&#x2082;O and CO&#x2082; emissions remains controversial. Furthermore, our understanding of how organic fertilizer substitution affects GHG emissions in sandy soils is still inadequate. As a result, there is an urgent need to identify alternative methods for reducing emissions and enhancing carbon sequestration, by substituting organic matter for synthetic N fertilizer in sandy soil agroecosystems.</p>
<p>Natural zeolite, a group of aluminosilicate minerals, is extensively used as an eco-friendly soil amendment and a controlled-release fertilizer additive, owing to its exceptional nutrient-adsorption capacity and drought-tolerance enhancement (<xref ref-type="bibr" rid="ref14">Ersin et al., 2004</xref>; <xref ref-type="bibr" rid="ref36">Nakhli et al., 2017</xref>; <xref ref-type="bibr" rid="ref3">Baghbani-Arani et al., 2020</xref>; <xref ref-type="bibr" rid="ref48">Szerement et al., 2021</xref>). Due to the abundant deposits, high production volume, and low cost of zeolite in China, natural zeolite has been extensively incorporated into various soil types (<xref ref-type="bibr" rid="ref48">Szerement et al., 2021</xref>). Studies have demonstrated that the incorporation of zeolite can improve the soil&#x2019;s water-holding capacity, reduce the leaching of soil nutrients in arid regions, enhance the water- and fertilizer-use efficiency of crops, and maintain high crop yields (<xref ref-type="bibr" rid="ref35">Malekian et al., 2011</xref>; <xref ref-type="bibr" rid="ref9">Chen et al., 2017</xref>; <xref ref-type="bibr" rid="ref36">Nakhli et al., 2017</xref>; <xref ref-type="bibr" rid="ref30">Liu et al., 2024b</xref>). Meanwhile, existing evidence suggests that zeolite application in paddy fields can increase grain yield and mitigate N<sub>2</sub>O emissions (<xref ref-type="bibr" rid="ref45">Sha et al., 2020</xref>; <xref ref-type="bibr" rid="ref33">Liu et al., 2023</xref>). This can be ascribed to the fact that zeolite adsorbs NH<sub>4</sub><sup>+</sup> and retains it within its internal structure. Consequently, the concentration of the reaction substrate for nitrification is reduced, subsequently leading to a decrease in N<sub>2</sub>O emissions following N application (<xref ref-type="bibr" rid="ref33">Liu et al., 2023</xref>; <xref ref-type="bibr" rid="ref42">Park et al., 2024</xref>). Furthermore, zeolite inhibits the conversion of NH<sub>4</sub><sup>+</sup> to NO<sub>3</sub><sup>&#x2212;</sup>, suppressing the nitrification&#x2013;denitrification process and thus negatively impacting the generation of N<sub>2</sub>O in the soil (<xref ref-type="bibr" rid="ref42">Park et al., 2024</xref>). Additionally, it has been reported that zeolite can improve soil water retention, which may also influence N&#x2082;O emissions, which are strongly positively correlated with soil moisture (<xref ref-type="bibr" rid="ref23">Jumadi et al., 2020</xref>). These findings highlight the observations that zeolite exerts multiple positive impacts on soil quality, crop yield, and decreases in N&#x2082;O emission (<xref ref-type="bibr" rid="ref3">Baghbani-Arani et al., 2020</xref>; <xref ref-type="bibr" rid="ref33">Liu et al., 2023</xref>). However, single zeolite application does not affect soil organic matter content (<xref ref-type="bibr" rid="ref48">Szerement et al., 2021</xref>). To overcome this limitation, the combination of zeolite with organic fertilizers has been found to mitigate the rapid mineralization of carbon and enhance soil carbon sequestration (<xref ref-type="bibr" rid="ref25">Latifah et al., 2017</xref>). This approach is particularly efficacious in sandy loam soils (<xref ref-type="bibr" rid="ref3">Baghbani-Arani et al., 2020</xref>), which are characteristically low in clay and organic matter concentrations. Although there has been some research on the effects of zeolite combined with organic fertilizers on soil properties and on emissions of CO<sub>2</sub> and N<sub>2</sub>O (<xref ref-type="bibr" rid="ref25">Latifah et al., 2017</xref>; <xref ref-type="bibr" rid="ref3">Baghbani-Arani et al., 2020</xref>), our understanding of the impact of the combination on soil properties, soil CO<sub>2</sub> and N<sub>2</sub>O emissions, and maize yield in sandy loam soils remains incomplete. Investigating the long-term combined effects of organic fertilizers and zeolite on the soil physicochemical, GHG emissions, and maize yield is crucial for achieving emission reduction and efficiency improvement in sandy loam soils farmlands.</p>
<p>To comprehensively investigate the impacts of co-applying organic fertilizer and zeolite on soil properties, soil CO<sub>2</sub> and N<sub>2</sub>O emissions, and maize yield, a 3-year field experiment was conducted on sandy loam soils. We hypothesized that, compared with sole application of inorganic fertilizers, co-applying organic fertilizers and zeolite would enhance the physiochemical and biological properties of sandy loam soils, thereby mitigating GHG emissions and enhancing maize yield and soil fertility in sandy loam soils. The objective of this study was to explore the technical feasibility of sustainably reducing GHG emissions and increasing maize yield in sandy loam soils on the North China Plain through co-application of organic fertilizers and zeolite.</p>
</sec>
<sec sec-type="materials|methods" id="sec6">
<label>2</label>
<title>Materials and methods</title>
<sec id="sec7">
<label>2.1</label>
<title>Field site</title>
<p>The field experiment was conducted in Daxing District (116&#x00B0;28&#x2032;32&#x2033;E, 39&#x00B0;58&#x2032;26&#x2033;N) in Beijing, North China. The experimental site has a semi-humid temperate continental monsoon climate, with an average annual temperature of 11.9&#x00B0;C, an average annual rainfall of 680&#x202F;mm, and an altitude of 20.2&#x202F;m above sea level. The soil is classified as a sandy loam (20% clay, 29% silt, and 52% sand). At the initiation of the field experiment, the following soil properties were determined in homogenized topsoil samples (0&#x2013;20&#x202F;cm): soil pH 8.10, electrical conductivity (EC) 75.61&#x202F;&#x03BC;s&#x202F;cm<sup>&#x2212;1</sup>, organic matter 10.32&#x202F;g&#x202F;kg<sup>&#x2212;1</sup>, total nitrogen 0.84&#x202F;g&#x202F;kg<sup>&#x2212;1</sup>, NO<sub>3</sub><sup>&#x2212;</sup>-N 6.98&#x202F;mg&#x202F;kg<sup>&#x2212;1</sup>, available phosphorus (AP) 38.01&#x202F;mg&#x202F;kg<sup>&#x2212;1</sup>, and available potassium (AK) 92.74&#x202F;mg&#x202F;kg<sup>&#x2212;1</sup>. The detection methods for the soil physicochemical properties were described by <xref ref-type="bibr" rid="ref61">Zhang et al. (2016)</xref>.</p>
</sec>
<sec id="sec8">
<label>2.2</label>
<title>Experimental design</title>
<p>Five fertilizer treatments were applied, namely: no-fertilizer treatment (control, CK), synthetic fertilizer (SF), organic N fertilizer replacing 30% synthetic N fertilizer (OF), synthetic fertilizer with 15.0&#x202F;t hm<sup>&#x2212;2</sup> zeolite added (ZSF), and organic N fertilizer replacing 30% synthetic N with zeolite added (ZOF) (details presented in <xref ref-type="table" rid="tab1">Table 1</xref>). For the synthetic fertilizer (FTL-30-12-15&#x200C;&#x200C;, Futulai compound fertilizer, Beijing Futulai Compound Fertilizer Co., Ltd., Beijing, China), a compound N: P: K fertilizer (30,12,15) was applied according to local practices as basal fertilizer. The organic fertilizer (FERT-2021-001, Yite organic fertilizer) used in this experiment was commercially produced and sold by Beijing Yite Organic Fertilizer Co., Ltd. (Beijing, China). It was mainly derived from cow manure. The composition of the organic fertilizer consisted of nitrogen (N, 3.3%), phosphorus (P, 1.0%), and potassium (K, 0.7%) and had an organic matter content exceeding 64%. The zeolite (NY-FZ-200, Lingshou Zeolite), sourced from Baidu Zeolite Factory (Shijiazhuang, Heibei, China), had a mean particle diameter of 35&#x202F;&#x03BC;m.</p>
<table-wrap position="float" id="tab1">
<label>Table 1</label>
<caption>
<p>Fertilizer amounts applied in different treatments for field trials.</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="top" rowspan="2">Treatment</th>
<th align="center" valign="top" colspan="5">Base fertilizer (kg hm<sup>&#x2212;2</sup>)</th>
<th align="center" valign="top" colspan="2">Topdressing (kg hm<sup>&#x2212;2</sup>)</th>
</tr>
<tr>
<th align="center" valign="top">Chemical <italic>N</italic></th>
<th align="center" valign="top">Organic <italic>N</italic></th>
<th align="center" valign="top">P<sub>2</sub>O<sub>5</sub></th>
<th align="center" valign="top">K<sub>2</sub>O</th>
<th align="center" valign="top">Zeolite (<italic>t</italic> hm<sup>&#x2212;2</sup>)</th>
<th align="center" valign="top">Chemical <italic>N</italic></th>
<th align="center" valign="top">K<sub>2</sub>O</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="top">CK</td>
<td align="center" valign="top">0</td>
<td align="center" valign="top">0</td>
<td align="center" valign="top">0</td>
<td align="center" valign="top">0</td>
<td align="center" valign="top">0</td>
<td align="center" valign="top">0</td>
<td align="center" valign="top">0</td>
</tr>
<tr>
<td align="left" valign="top">SF</td>
<td align="center" valign="top">150</td>
<td align="center" valign="top">0</td>
<td align="center" valign="top">120</td>
<td align="center" valign="top">100</td>
<td align="center" valign="top">0</td>
<td align="center" valign="top">150</td>
<td align="center" valign="top">50</td>
</tr>
<tr>
<td align="left" valign="top">OF</td>
<td align="center" valign="top">60</td>
<td align="center" valign="top">90</td>
<td align="center" valign="top">120</td>
<td align="center" valign="top">100</td>
<td align="center" valign="top">0</td>
<td align="center" valign="top">150</td>
<td align="center" valign="top">50</td>
</tr>
<tr>
<td align="left" valign="top">ZSF</td>
<td align="center" valign="top">150</td>
<td align="center" valign="top">0</td>
<td align="center" valign="top">120</td>
<td align="center" valign="top">100</td>
<td align="center" valign="top">15.0</td>
<td align="center" valign="top">150</td>
<td align="center" valign="top">50</td>
</tr>
<tr>
<td align="left" valign="top">ZOF</td>
<td align="center" valign="top">60</td>
<td align="center" valign="top">90</td>
<td align="center" valign="top">120</td>
<td align="center" valign="top">100</td>
<td align="center" valign="top">15.0</td>
<td align="center" valign="top">150</td>
<td align="center" valign="top">50</td>
</tr>
</tbody>
</table>
</table-wrap>
<p>The five treatments were randomly arranged, and each was replicated four times. Each plot size was 40 m<sup>2</sup> (10&#x202F;m&#x202F;&#x00D7;&#x202F;4&#x202F;m) and was separated from adjacent plots by a 1.0&#x202F;m-wide buffer row (<xref ref-type="sec" rid="sec31">Supplementary Figure S1</xref>). All treatments were designed to have an equal N input of 300&#x202F;kg&#x202F;N hm<sup>&#x2212;2</sup>. All the organic fertilizer, zeolite, and a portion of the synthetic fertilizer were applied as a base fertilizer in the seed bed. They were evenly spread over the field surface and then incorporated into the topsoil (0&#x2013;20&#x202F;cm) before planting. The maize (<italic>Zea mays</italic> L.) variety employed in the experiment was &#x2018;Jingke 996&#x2019;, with a planting density of 66,500 plants hm<sup>&#x2212;2</sup> and a row spacing of 60&#x202F;cm. The sowing date of maize was set on May 22, and the harvesting date was fixed on September 18 in 2021, 2022, and 2023. When the maize reached the stage of full expansion of the 13th leaf, the remaining N (urea, 46%, &#x200C;&#x200C; F-UR-46-202102) and K (KSO<sub>4</sub>, 52%, F-K-52-202101) fertilizers were applied by top-dressing, which were produced and sold by Qian&#x2019;an Fertilizer Co., Ltd. (Tangshan, Heibei, China).</p>
</sec>
<sec id="sec9">
<label>2.3</label>
<title>Measurements and calculation methods</title>
<sec id="sec10">
<label>2.3.1</label>
<title>Greenhouse gas sampling and measurements</title>
<p>During the maize growth periods, from sowing to harvest, in 2021, 2022, and 2023, the CO<sub>2</sub> and N<sub>2</sub>O emission fluxes were simultaneously determined <italic>in situ</italic> using the static chamber-gas chromatography (GC) method (<xref ref-type="bibr" rid="ref45">Sha et al., 2020</xref>). Soil sampling for GHG emission fluxes was carried out using specially made static chambers. Each chamber was composed of a circular PVC base frame (60&#x202F;cm diameter, 10&#x202F;cm height), fixed in each plot, with a top cover box (60&#x202F;cm diameter, 50&#x202F;cm height). To minimize fluctuations in the internal air temperature, the chambers were covered with a layer of sponge and aluminum foil. The top cover box was equipped with circulating fans to ensure thorough gas mixing. Additionally, electronic thermometers were installed to measure the internal air temperature during sampling. Each base had a well-shaped groove (5&#x202F;cm in depth) at the top which was filled with water to seal the rim of the chamber during sampling. In general, soil GHG fluxes were determined once each week, and sampling was intensified to every two days following irrigation, fertilizer application, or precipitation events. After placing the chamber on pre-fixed bases, four gas samples were taken at each sampling within 30&#x202F;min (at 0, 10, 20, and 30&#x202F;min) using a polypropylene syringe (50&#x202F;mL volume) from 9:30 to 11:00&#x202F;a.m. These samples were promptly transported back to the laboratory for analysis via gas chromatography. The gas samples (a total of 21,360 CO&#x2082; and 21,360 N&#x2082;O in three years) were analyzed using an Agilent 7890B gas chromatograph system (Agilent Technologies, Inc., USA). Further details of measuring GHGs are given in the methodology reported by <xref ref-type="bibr" rid="ref23">Jumadi et al. (2020)</xref>. Concurrent with gas sampling, the soil temperature (<xref ref-type="fig" rid="fig1">Figures 1A</xref>&#x2013;<xref ref-type="fig" rid="fig1">C</xref>) at a depth of 10&#x202F;cm was monitored using a soil thermometer (&#x200C;WH55&#x2013;405,330, Oriental Chemical and Glass Science and Technology Co., Ltd., Beijing, China); and three soil samples (0&#x2013;10&#x202F;cm) were taken from each plot with an auger (3&#x202F;cm diameter), their moisture contents were evaluated gravimetrically by oven-drying and were expressed as soil water-filled pore spaces (WFPS) using the equation of <xref ref-type="bibr" rid="ref43">Pokharel and Chang (2021)</xref> (<xref ref-type="fig" rid="fig1">Figures 1D</xref>&#x2013;<xref ref-type="fig" rid="fig1">F</xref>).</p>
<fig position="float" id="fig1">
<label>Figure 1</label>
<caption>
<p>Dynamic changes in soil temperature <bold>(A&#x2013;C)</bold> and water-filled pore space (WFPS) <bold>(D&#x2013;F)</bold> under different treatments.</p>
</caption>
<graphic xlink:href="fsufs-09-1614139-g001.tif" mimetype="image" mime-subtype="tiff">
<alt-text content-type="machine-generated">Six-panel chart showing soil temperature and water-filled pore space (WFPS) from 2021 to 2023. Panels A, B, C display soil temperature in degrees Celsius, and D, E, F show WFPS in percentage. Each line represents different treatments: CK, SF, OF, ZSF, and ZOF. The x-axes depict dates from May to September. Temperature trends rise and fall across the years, while WFPS shows significant fluctuations.</alt-text>
</graphic>
</fig>
<p>The <italic>GHG</italic> emission flux (<italic>F</italic>) was calculated using the following <xref ref-type="disp-formula" rid="EQ1">Equation 1</xref>:</p>
<disp-formula id="EQ1">
<label>(1)</label>
<mml:math id="M1">
<mml:mi>F</mml:mi>
<mml:mo>=</mml:mo>
<mml:mi>&#x03C1;</mml:mi>
<mml:mo>&#x00D7;</mml:mo>
<mml:mfrac>
<mml:mi>V</mml:mi>
<mml:mi>A</mml:mi>
</mml:mfrac>
<mml:mo>&#x00D7;</mml:mo>
<mml:mfrac>
<mml:mi mathvariant="italic">&#x0394;C</mml:mi>
<mml:mi mathvariant="italic">&#x0394;t</mml:mi>
</mml:mfrac>
<mml:mo>&#x00D7;</mml:mo>
<mml:mfrac>
<mml:mn>273</mml:mn>
<mml:mrow>
<mml:mn>273</mml:mn>
<mml:mo>+</mml:mo>
<mml:mi>T</mml:mi>
</mml:mrow>
</mml:mfrac>
</mml:math>
</disp-formula>
<p>Where <italic>F</italic> represents CO<sub>2</sub> emission fluxes (mg&#x202F;m<sup>&#x2212;2</sup> h<sup>&#x2212;1</sup>) or N<sub>2</sub>O emission fluxes (&#x03BC;g&#x202F;m<sup>&#x2212;2</sup> h<sup>&#x2212;1</sup>); <italic>&#x03C1;</italic> is the density (mg&#x202F;cm<sup>&#x2212;3</sup>) of CO<sub>2</sub> or N<sub>2</sub>O under standard conditions; <italic>V</italic> is the volume of the sampling box (m<sup>3</sup>); <italic>A</italic> is the soil surface area (m<sup>2</sup>) in the sampling base; <italic>&#x2206;C/&#x2206;t</italic> is the gas emission rate; and <italic>T</italic> is the temperature inside the sampling chamber (&#x00B0;C).</p>
<p>Total <italic>GHG</italic> emissions was calculated as follows (<xref ref-type="disp-formula" rid="E1">Equation 2</xref>):</p>
<disp-formula id="E1">
<label>(2)</label>
<mml:math id="M2">
<mml:mi>M</mml:mi>
<mml:mo>=</mml:mo>
<mml:mfrac>
<mml:mrow>
<mml:mo>&#x2211;</mml:mo>
<mml:mo stretchy="true">(</mml:mo>
<mml:msub>
<mml:mi>F</mml:mi>
<mml:mrow>
<mml:mi>i</mml:mi>
<mml:mo>+</mml:mo>
<mml:mn>1</mml:mn>
</mml:mrow>
</mml:msub>
<mml:mo>+</mml:mo>
<mml:msub>
<mml:mi>F</mml:mi>
<mml:mi>i</mml:mi>
</mml:msub>
<mml:mo stretchy="true">)</mml:mo>
</mml:mrow>
<mml:mn>2</mml:mn>
</mml:mfrac>
<mml:mo>&#x00D7;</mml:mo>
<mml:mo stretchy="true">(</mml:mo>
<mml:msub>
<mml:mi>t</mml:mi>
<mml:mrow>
<mml:mi>i</mml:mi>
<mml:mo>+</mml:mo>
<mml:mn>1</mml:mn>
</mml:mrow>
</mml:msub>
<mml:mo>&#x2212;</mml:mo>
<mml:msub>
<mml:mi>t</mml:mi>
<mml:mi>i</mml:mi>
</mml:msub>
<mml:mo stretchy="true">)</mml:mo>
<mml:mo>&#x00D7;</mml:mo>
<mml:mn>24</mml:mn>
<mml:mo>&#x00D7;</mml:mo>
<mml:msup>
<mml:mn>10</mml:mn>
<mml:mrow>
<mml:mo>&#x2212;</mml:mo>
<mml:mn>3</mml:mn>
</mml:mrow>
</mml:msup>
</mml:math>
</disp-formula>
<p>Where <italic>M</italic> is the cumulative of total greenhouse gases (kg hm<sup>&#x2212;2</sup>); <italic>F<sub>i</sub></italic> and <italic>F<sub>i&#x202F;+&#x202F;1</sub></italic> are the gas fluxes determined at the <italic>i</italic><sup>th</sup> and (<italic>i&#x202F;+&#x202F;1</italic>)<sup>th</sup> sampling (CO<sub>2</sub> mg m<sup>&#x2212;2</sup> h<sup>&#x2212;1</sup> or N<sub>2</sub>O &#x03BC;g m<sup>&#x2212;2</sup> h<sup>&#x2212;1</sup>), respectively; <italic>t<sub>i</sub></italic> and <italic>t<sub>i&#x202F;+&#x202F;1</sub></italic> are the dates corresponding to the <italic>i</italic><sup>th</sup> and (<italic>i&#x202F;+&#x202F;1</italic>)<sup>th</sup> sampling, respectively.</p>
<p>The global warming potential (<italic>GWP</italic>) was calculated using the following <xref ref-type="disp-formula" rid="E2">Equation 3</xref>:</p>
<disp-formula id="E2">
<label>(3)</label>
<mml:math id="M3">
<mml:mi mathvariant="italic">GWP</mml:mi>
<mml:mo>=</mml:mo>
<mml:msub>
<mml:mi>CO</mml:mi>
<mml:mn>2</mml:mn>
</mml:msub>
<mml:mo>+</mml:mo>
<mml:mn>298</mml:mn>
<mml:mo>&#x00D7;</mml:mo>
<mml:mi>R</mml:mi>
<mml:mo stretchy="true">(</mml:mo>
<mml:msub>
<mml:mi mathvariant="normal">N</mml:mi>
<mml:mn>2</mml:mn>
</mml:msub>
<mml:mi mathvariant="normal">O</mml:mi>
<mml:mo stretchy="true">)</mml:mo>
</mml:math>
</disp-formula>
<p>Where <italic>GWP</italic> is the comprehensive greenhouse effect of greenhouse gases during the maize growing season, expressed in terms of CO<sub>2</sub>-equivalents (kg hm<sup>&#x2212;2</sup>); CO<sub>2</sub> refers to the total CO<sub>2</sub> emissions during the maize growing season; and <italic>R</italic>(N<sub>2</sub>O) are the total N<sub>2</sub>O emissions during the maize growing season (kg hm<sup>&#x2212;2</sup>).</p>
<p>Greenhouse gas intensity (<italic>GHGI</italic>) was calculated as follows (<xref ref-type="disp-formula" rid="E3">Equation 4</xref>):</p>
<disp-formula id="E3">
<label>(4)</label>
<mml:math id="M4">
<mml:mtext mathvariant="italic">GHGI</mml:mtext>
<mml:mo>=</mml:mo>
<mml:mi mathvariant="italic">GWP</mml:mi>
<mml:mo>/</mml:mo>
<mml:mi>Y</mml:mi>
</mml:math>
</disp-formula>
<p>Where <italic>GHGI</italic> represents the global warming potential per unit of output (kg CO<sub>2</sub> kg<sup>&#x2212;1</sup>); and <italic>Y</italic> represents the maize yield (kg hm<sup>&#x2212;2</sup>).</p>
</sec>
<sec id="sec11">
<label>2.3.2</label>
<title>Sampling and analysis of plant samples</title>
<p>At the time of harvest, twenty maize plants were randomly collected from each plot, including both their above-ground and below-ground parts. After collecting, the samples were immediately transferred to the laboratory, dried at 105&#x00B0;C for 30&#x202F;min to deactivate the enzymes and then dried at 75&#x00B0;C to constant weight, weighed to determine aboveground biomass (AGB) and belowground biomass (BGB). Simultaneously, fifty maize plants were randomly selected, air-dried, shelled, and the kernels weighed to calculate the plot yield.</p>
</sec>
<sec id="sec12">
<label>2.3.3</label>
<title>Soil sampling and detection</title>
<p>Five soil cores at a depth of 0&#x2013;20&#x202F;cm were randomly extracted from each plot at the 7-leaf stage, 12-leaf stage, tasseling stage, and after harvest in 2021, 2022 and 2023. These soil cores were then mixed to form a composite sample. The samples (a total of 240 in three years) were then transported to the laboratory and processed further to remove debris and gravel. A portion of them was stored at &#x2212;20&#x00B0;C for analysis of soil available N and microbial biomass, and a portion of them was air&#x2013; dried, following sieving through a 0.15&#x202F;mm sieve for analyses of other available indicators and enzymes activities. The samples at the harvest period (a total of 60 in three years) were analyzed for soil bulk density, soil pH, the concentrations of total organic matter and total nitrogen (TN).</p>
<p>The soil bulk density was determined using the core sampling method; soil pH was determined using a pH meter (water: soil&#x202F;=&#x202F;2.5:1). The total nitrogen and soil organic carbon (SOC) concentrations were measured by employing an elemental analyzer (Vario EI, Elementar, Langenselbold, Germany). The concentrations of available phosphorus (AP) and available potassium (AK) in the soil were analyzed through ultraviolet spectrophotometry and flame photometry, respectively. Soil NH<sub>4</sub><sup>+</sup>-N, NO<sub>3</sub><sup>&#x2212;</sup>-N and dissolved organic carbon (DOC) concentrations were detected using a flow analyzer (AA3, Bran + Luebbe, Hamburg, Germany). The activities of soil enzymes <italic>&#x03B2;</italic>-glucosidase (BG), and nitrate reductase (NR) were assayed using the respective assay kits (Jian Cheng Biological Engineering Research Institute, Nanjing, China). Microbial biomass carbon (MBC) concentration was determined and analyzed using the chloroform fumigation-K<sub>2</sub>SO<sub>4</sub> extraction-instrumental analysis method. Microbial biomass nitrogen (MBN) concentration was measured using the chloroform fumigation-K&#x2082;SO&#x2084; extraction-total nitrogen determination method. The conversion factors of MBC and MBN were 0.38 and 0.54, respectively (<xref ref-type="bibr" rid="ref38">Nunan et al., 1998</xref>).</p>
</sec>
</sec>
<sec id="sec13">
<label>2.4</label>
<title>Statistical analysis</title>
<p>All data analyses were conducted using IBM SPSS Statistics 24.0 software (SPSS Inc., Armonk, NY, USA). The means and standard errors (SE) for each treatment group were calculated. One-way analysis of variance (ANOVA, <italic>p</italic>&#x202F;&#x003C;&#x202F;0.05) was employed to detect significant differences in soil physicochemical properties, enzyme activities, microbial biomass, flux and cumulative of CO<sub>2</sub> and N<sub>2</sub>O emission, GWP, and GHGI among fertilization treatments, followed by Tukey&#x2019;s post-hoc test. Different lowercase letters represent significant differences between different treatments (<italic>p</italic>&#x202F;&#x003C;&#x202F;0.05). Two-way ANOVA was performed to examine the significant effects of year, and treatment, their interaction on maize yield and biomass, emission flux of CO<sub>2</sub> and N<sub>2</sub>O, GWP, and GHGI. Figures were generated using Origin 2024 software (OriginLab, Northampton, MA, USA).</p>
</sec>
</sec>
<sec sec-type="results" id="sec14">
<label>3</label>
<title>Results</title>
<sec id="sec15">
<label>3.1</label>
<title>Maize yield and biomass</title>
<p>The kernel yield of the control (CK) decreased year by year, since no fertilizer was applied to the CK group. Compared with CK, the kernel yield (<xref ref-type="fig" rid="fig2">Figure 2A</xref>), aboveground biomass (AGB) (<xref ref-type="fig" rid="fig2">Figure 2B</xref>) and belowground biomass (BGB) (<xref ref-type="fig" rid="fig2">Figure 2C</xref>) of maize were all significantly increased in response to fertilizer treatment (<italic>p</italic>&#x202F;&#x003C;&#x202F;0.05) (<xref ref-type="fig" rid="fig2">Figure 2</xref>), although the differences in these factors across different years were not significant (<xref ref-type="sec" rid="sec31">Supplementary Table S1</xref>). The ZOF treatment achieved the highest yield (<xref ref-type="fig" rid="fig2">Figure 2A</xref>) and AGB (<xref ref-type="fig" rid="fig2">Figure 2B</xref>), significantly greater than those in SF by 14.72&#x2013;23.61% (<italic>p</italic>&#x202F;&#x003C;&#x202F;0.05) over the 3&#x202F;years, and 8.63&#x2013;13.33% (<italic>p</italic>&#x202F;&#x003C;&#x202F;0.05) in 2022 and 2023, respectively. Compared with SF, the yield was significantly higher by 13.91&#x2013;15.59% (<italic>p</italic>&#x202F;&#x003C;&#x202F;0.05) in ZSF in 2022 and 2023, and by 16.92% (<italic>p</italic>&#x202F;&#x003C;&#x202F;0.05) in OF in 2023. Therefore, co-applying organic fertilizer and zeolite (ZOF) demonstrated a more favorable effect on the yield and AGB of maize than did inorganic fertilizer.</p>
<fig position="float" id="fig2">
<label>Figure 2</label>
<caption>
<p>The yield <bold>(A)</bold>, aboveground biomass <bold>(B)</bold>, and belowground biomass <bold>(C)</bold> of maize under different fertilizer treatments. Different lowercase letters within a panel and a year represent significant differences between different treatments (<italic>p</italic>&#x202F;&#x003C;&#x202F;0.05). Data represent the mean &#x00B1; standard error. CK: no-fertilizer; SF: synthetic fertilizer; OF: organic N fertilizer replacing 30% synthetic N fertilizer; ZSF: synthetic fertilizer with 15.0&#x202F;t hm<sup>&#x2212;2</sup> zeolite added; ZOF: organic N fertilizer replacing 30% synthetic with zeolite added.</p>
</caption>
<graphic xlink:href="fsufs-09-1614139-g002.tif" mimetype="image" mime-subtype="tiff">
<alt-text content-type="machine-generated">Bar charts displaying maize yield and biomass over three years, 2021 to 2023, with five treatments: CK, SF, OF, ZSF, and ZOF. Chart A shows maize yield, Chart B shows aboveground biomass, and Chart C shows belowground biomass. Bars are labeled with statistical significance: a, ab, b, c. ZOF consistently has the highest values, followed by ZSF, then SF, OF, and lowest is CK.</alt-text>
</graphic>
</fig>
</sec>
<sec id="sec16">
<label>3.2</label>
<title>Influence of different fertilizer treatments on greenhouse gas emissions from maize soil</title>
<p>From May 20 to June 15, the dynamics of soil CO<sub>2</sub> emission flux under different treatments exhibited a pattern of initially increasing and then decreasing. Over the 3-year trial period, the OF treatment achieved the highest peak of all the treatments, ranging from 385.30 to 393.54&#x202F;mg&#x202F;m<sup>&#x2212;2</sup> h<sup>&#x2212;1</sup>, on either June 3 or 4 (<xref ref-type="fig" rid="fig3">Figures 3A</xref>&#x2013;<xref ref-type="fig" rid="fig3">C</xref>). Subsequently, the soil CO<sub>2</sub> emission flux gradually decreased. Notably, after fertilizer application or rainfall, the CO<sub>2</sub> emission flux showed a significant upward surge and peaked 4&#x2013;6&#x202F;days later. Compared with the CK, the average soil CO<sub>2</sub> emission flux (<xref ref-type="fig" rid="fig3">Figures 3D</xref>&#x2013;<xref ref-type="fig" rid="fig3">F</xref>) and cumulative CO<sub>2</sub> emissions (<xref ref-type="fig" rid="fig3">Figures 3G</xref>&#x2013;<xref ref-type="fig" rid="fig3">I</xref>) were significantly increased (<italic>p</italic>&#x202F;&#x003C;&#x202F;0.05) by the fertilizer treatments. Among these treatments, the OF treatment had the highest average CO<sub>2</sub> emission flux and cumulative CO&#x2082; emissions, while the ZSF treatment had the lowest. Specifically, compared with the ZSF treatment, the cumulative CO&#x2082; emissions from the OF treatment were significantly higher by 4.52% (<italic>p</italic>&#x202F;&#x003C;&#x202F;0.05) in 2023. The treatment had a significant impact on soil CO&#x2082; emissions but the year had no significant effect (<xref ref-type="sec" rid="sec31">Supplementary Table S1</xref>). Overall, compared with the SF treatment, the OF treatment slightly increased soil CO&#x2082; emissions.</p>
<fig position="float" id="fig3">
<label>Figure 3</label>
<caption>
<p>Dynamics of CO<sub>2</sub> emission flux <bold>(A&#x2013;C)</bold>, average CO<sub>2</sub> emission flux <bold>(D&#x2013;F)</bold>, and cumulative CO<sub>2</sub> emission <bold>(G&#x2013;I)</bold> in response to different fertilizer treatments. Different lowercase letters within a panel represent significant differences between different treatments (<italic>p</italic>&#x202F;&#x003C;&#x202F;0.05), following ANOVA and the Tukey test. Data are presented as the mean &#x00B1; standard error.</p>
</caption>
<graphic xlink:href="fsufs-09-1614139-g003.tif" mimetype="image" mime-subtype="tiff">
<alt-text content-type="machine-generated">Line graphs and bar charts compare soil CO2 emission flux, average CO2 emission flux, and cumulative CO2 emissions for different treatments (CK, SF, OF, ZSF, ZOF) across 2021, 2022, and 2023. Each graph demonstrates variations and comparisons between treatments over time, with labels for statistical significance.</alt-text>
</graphic>
</fig>
<p>Over the 3-year trial period, the first peak of the soil N<sub>2</sub>O emission flux, which ranged from 448.92 to 458.02&#x202F;&#x03BC;g&#x202F;m<sup>&#x2212;2</sup> h<sup>&#x2212;1</sup>, was reached on May 29 in the SF treatment; the second peak, ranging from 502.91 to 529.21&#x202F;&#x03BC;g&#x202F;m<sup>&#x2212;2</sup> h<sup>&#x2212;1</sup>, occurred within 2&#x2013;4&#x202F;days after fertilizer application or rainfall in the SF treatment (<xref ref-type="fig" rid="fig4">Figures 4A</xref>&#x2013;<xref ref-type="fig" rid="fig4">C</xref>). Compared with CK, the average soil N<sub>2</sub>O emission flux (<xref ref-type="fig" rid="fig4">Figures 4D</xref>&#x2013;<xref ref-type="fig" rid="fig4">F</xref>) and cumulative N<sub>2</sub>O emissions (<xref ref-type="fig" rid="fig4">Figures 4G</xref>&#x2013;<xref ref-type="fig" rid="fig4">I</xref>) were significantly higher (<italic>p</italic>&#x202F;&#x003C;&#x202F;0.05) in the fertilizer treatments. Compared with SF, the average N<sub>2</sub>O emission flux in the OF, ZSF, and ZOF treatments were significantly lower by 6.74&#x2013;8.23%, 6.10&#x2013;8.79%, and 9.29&#x2013;11.86% (<italic>p</italic>&#x202F;&#x003C;&#x202F;0.05), respectively; correspondingly, the cumulative N<sub>2</sub>O emissions were significantly lower by 9.23&#x2013;10.85%, 7.59&#x2013;11.24%, and 12.27&#x2013;16.06% (<italic>p</italic>&#x202F;&#x003C;&#x202F;0.05), respectively, in 2022 and 2023. The treatment had a significant impact on soil N<sub>2</sub>O emissions but the year had no significant effect (<xref ref-type="sec" rid="sec31">Supplementary Table S1</xref>). Overall, the ZOF treatment had a greater impact than the other treatments on reducing soil N&#x2082;O emissions.</p>
<fig position="float" id="fig4">
<label>Figure 4</label>
<caption>
<p>Dynamics of N<sub>2</sub>O emission flux <bold>(A&#x2013;C)</bold>, average N<sub>2</sub>O emission flux (<bold>D&#x2013;F</bold>), and cumulative N<sub>2</sub>O emission <bold>(G&#x2013;I)</bold> in different fertilizer treatments. Different lowercase letters within a panel represent significant differences between different treatments (<italic>p&#x202F;&#x003C;</italic> 0.05), following ANOVA and Tukey test. Data represent the mean &#x00B1; standard error.</p>
</caption>
<graphic xlink:href="fsufs-09-1614139-g004.tif" mimetype="image" mime-subtype="tiff">
<alt-text content-type="machine-generated">Graphs depict soil N2O emission flux and cumulative N2O emissions from 2021 to 2023 across different treatments: CK, SF, OF, ZSF, and ZOF. Panels A to C show annual emission flux trends; Panels D to F present average emission fluxes; Panels G to I illustrate cumulative emissions. Treatments show significant variations in emissions, with labels a, b, and c indicating statistical differences.</alt-text>
</graphic>
</fig>
<p>Compared with CK, the total GWP and GWP contributed by N<sub>2</sub>O was significantly higher (<italic>p&#x202F;&#x003C;</italic> 0.05) in the fertilizer treatments (<xref ref-type="table" rid="tab2">Table 2</xref>). Compared with SF, the GWP contributed by N<sub>2</sub>O was significantly lower by 8.45&#x2013;10.17%, 7.06&#x2013;10.76%, and 10.93&#x2013;15.61% (<italic>p&#x202F;&#x003C;</italic> 0.05) in OF, ZSF, and ZOF treatments, respectively, in 2022 and 2023; additionally, the total GWP of the ZOF treatment was significantly 4.78% lower (<italic>p&#x202F;&#x003C;</italic> 0.05) than that of SF in 2023. Over the 3-year trial period, compared with the SF treatment, the GHGI in the ZSF and ZOF treatments was significantly 6.45&#x2013;15.31% lower (<italic>p&#x202F;&#x003C;</italic> 0.05) and 14.16&#x2013;21.06% lower (<italic>p&#x202F;&#x003C;</italic> 0.05), respectively; the GHGI in the OF treatment was significantly 10.53&#x2013;13.13% lower (<italic>p&#x202F;&#x003C;</italic> 0.05) in 2022 and 2023. Neither the treatment nor the year had a significant impact on GWP, although the treatment had a significant effect on GHGI (<xref ref-type="sec" rid="sec31">Supplementary Table S1</xref>). Overall, the ZOF treatment than the other treatments had a more pronounced effect on reducing both GWP and GHGI.</p>
<table-wrap position="float" id="tab2">
<label>Table 2</label>
<caption>
<p>The global warming potential (GWP) and greenhouse gas intensity (GHGI) in different treatments.</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="middle">Time</th>
<th align="center" valign="middle">Factor</th>
<th align="center" valign="middle">CK</th>
<th align="center" valign="middle">SF</th>
<th align="center" valign="middle">OF</th>
<th align="center" valign="middle">ZSF</th>
<th align="center" valign="middle">ZOF</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="middle" rowspan="3">2021</td>
<td align="center" valign="middle">GWP contributed by N<sub>2</sub>O (kg CO<sub>2</sub> hm<sup>&#x2212;2</sup>)</td>
<td align="center" valign="middle">1015.32&#x202F;&#x00B1;&#x202F;47.34 a</td>
<td align="center" valign="middle">2016.55&#x202F;&#x00B1;&#x202F;65.03 a</td>
<td align="center" valign="middle">1930.89&#x202F;&#x00B1;&#x202F;58.73 a</td>
<td align="center" valign="middle">1945.30&#x202F;&#x00B1;&#x202F;49.82 a</td>
<td align="center" valign="middle">1904.37&#x202F;&#x00B1;&#x202F;50.99 a</td>
</tr>
<tr>
<td align="center" valign="middle">Total GWP (kg CO<sub>2</sub> hm<sup>&#x2212;2</sup>)</td>
<td align="center" valign="middle">6603.45&#x202F;&#x00B1;&#x202F;269.23 b</td>
<td align="center" valign="middle">9863.78&#x202F;&#x00B1;&#x202F;327.67 a</td>
<td align="center" valign="middle">9820.24&#x202F;&#x00B1;&#x202F;293.69 a</td>
<td align="center" valign="middle">9721.55&#x202F;&#x00B1;&#x202F;279.02 a</td>
<td align="center" valign="middle">9697.55&#x202F;&#x00B1;&#x202F;282.14 a</td>
</tr>
<tr>
<td align="center" valign="middle">GHGI (kg CO<sub>2</sub> kg<sup>&#x2212;1</sup>)</td>
<td align="center" valign="middle">1.07&#x202F;&#x00B1;&#x202F;0.004 a</td>
<td align="center" valign="middle">1.08&#x202F;&#x00B1;&#x202F;0.005 a</td>
<td align="center" valign="middle">1.04&#x202F;&#x00B1;&#x202F;0.004 a</td>
<td align="center" valign="middle">1.01&#x202F;&#x00B1;&#x202F;0.003 b</td>
<td align="center" valign="middle">0.93&#x202F;&#x00B1;&#x202F;0.004 b</td>
</tr>
<tr>
<td align="left" valign="middle" rowspan="3">2022</td>
<td align="center" valign="middle">GWP contributed by N<sub>2</sub>O (kg CO<sub>2</sub> hm<sup>&#x2212;2</sup>)</td>
<td align="center" valign="middle">827.79&#x202F;&#x00B1;&#x202F;62.82 c</td>
<td align="center" valign="middle">2053.73&#x202F;&#x00B1;&#x202F;60.22 a</td>
<td align="center" valign="middle">1880.17&#x202F;&#x00B1;&#x202F;59.11 b</td>
<td align="center" valign="middle">1908.81&#x202F;&#x00B1;&#x202F;57.93 b</td>
<td align="center" valign="middle">1829.21&#x202F;&#x00B1;&#x202F;44.94 b</td>
</tr>
<tr>
<td align="center" valign="middle">Total GWP (kg CO<sub>2</sub> hm<sup>&#x2212;2</sup>)</td>
<td align="center" valign="middle">5867.56&#x202F;&#x00B1;&#x202F;313.91 b</td>
<td align="center" valign="middle">10088.57&#x202F;&#x00B1;&#x202F;304.46 a</td>
<td align="center" valign="middle">10064.95&#x202F;&#x00B1;&#x202F;329.19 a</td>
<td align="center" valign="middle">9806.81&#x202F;&#x00B1;&#x202F;271.32 a</td>
<td align="center" valign="middle">9807.55&#x202F;&#x00B1;&#x202F;217.87 a</td>
</tr>
<tr>
<td align="center" valign="middle">GHGI (kg CO<sub>2</sub> kg<sup>&#x2212;1</sup>)</td>
<td align="center" valign="middle">1.10&#x202F;&#x00B1;&#x202F;0.004 a</td>
<td align="center" valign="middle">1.04&#x202F;&#x00B1;&#x202F;0.005 a</td>
<td align="center" valign="middle">0.93&#x202F;&#x00B1;&#x202F;0.004 b</td>
<td align="center" valign="middle">0.89&#x202F;&#x00B1;&#x202F;0.004 b</td>
<td align="center" valign="middle">0.85&#x202F;&#x00B1;&#x202F;0.004 b</td>
</tr>
<tr>
<td align="left" valign="middle" rowspan="3">2023</td>
<td align="center" valign="middle">GWP contributed by N<sub>2</sub>O (kg CO<sub>2</sub> hm<sup>&#x2212;2</sup>)</td>
<td align="center" valign="middle">580.23&#x202F;&#x00B1;&#x202F;44.38 c</td>
<td align="center" valign="middle">2084.43&#x202F;&#x00B1;&#x202F;55.73 a</td>
<td align="center" valign="middle">1872.41&#x202F;&#x00B1;&#x202F;81.59 b</td>
<td align="center" valign="middle">1860.10&#x202F;&#x00B1;&#x202F;70.37 b</td>
<td align="center" valign="middle">1758.97&#x202F;&#x00B1;&#x202F;45.50 b</td>
</tr>
<tr>
<td align="center" valign="middle">Total GWP (kg CO<sub>2</sub> hm<sup>&#x2212;2</sup>)</td>
<td align="center" valign="middle">5209.22&#x202F;&#x00B1;&#x202F;283.01 c</td>
<td align="center" valign="middle">9873.42&#x202F;&#x00B1;&#x202F;216.61 a</td>
<td align="center" valign="middle">9820.13&#x202F;&#x00B1;&#x202F;168.72 ab</td>
<td align="center" valign="middle">9464.71&#x202F;&#x00B1;&#x202F;232.09 ab</td>
<td align="center" valign="middle">9401.08&#x202F;&#x00B1;&#x202F;233.88 b</td>
</tr>
<tr>
<td align="center" valign="middle">GHGI (kg CO<sub>2</sub> kg<sup>&#x2212;1</sup>)</td>
<td align="center" valign="middle">1.31&#x202F;&#x00B1;&#x202F;0.004 a</td>
<td align="center" valign="middle">1.03&#x202F;&#x00B1;&#x202F;0.005 b</td>
<td align="center" valign="middle">0.90&#x202F;&#x00B1;&#x202F;0.004 c</td>
<td align="center" valign="middle">0.87&#x202F;&#x00B1;&#x202F;0.005 c</td>
<td align="center" valign="middle">0.81&#x202F;&#x00B1;&#x202F;0.004 c</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p>Different lowercase letters between treatments within a row represent significant differences between treatments (<italic>p</italic> &#x003C;&#x202F;0.05). Data represent the mean &#x00B1; standard error.</p>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="sec17">
<label>3.3</label>
<title>Impact of different treatments on soil physicochemical properties</title>
<p>Soil pH did not exhibit any significant difference across the various treatments (<xref ref-type="fig" rid="fig5">Figure 5A</xref>). Compared with the SF treatment, bulk density was significantly 4.26% (<italic>p</italic>&#x202F;&#x003C;&#x202F;0.05) lower in the ZOF treatment (<xref ref-type="fig" rid="fig5">Figure 5B</xref>). Compared with CK, the concentrations of soil organic carbon (<xref ref-type="fig" rid="fig5">Figure 5C</xref>), total nitrogen (<xref ref-type="fig" rid="fig5">Figure 5D</xref>), dissolved organic carbon (DOC) (<xref ref-type="fig" rid="fig5">Figure 5E</xref>), NH<sub>4</sub><sup>+</sup>-N (<xref ref-type="fig" rid="fig5">Figure 5F</xref>), NO<sub>3</sub><sup>&#x2212;</sup>-N (<xref ref-type="fig" rid="fig5">Figure 5G</xref>), available potassium (<xref ref-type="fig" rid="fig5">Figure 5H</xref>), and available phosphorus (<xref ref-type="fig" rid="fig5">Figure 5I</xref>) were significantly higher (<italic>p</italic>&#x202F;&#x003C;&#x202F;0.05) in the fertilizer treatments. Compared with SF, soil NH<sub>4</sub><sup>+</sup>-N and NO<sub>3</sub><sup>&#x2212;</sup>-N concentrations were significantly lower by 12.27, 9.08 and 10.56, 9.30% (<italic>p</italic>&#x202F;&#x003C;&#x202F;0.05) in the OF and ZOF treatments, respectively, while soil available potassium and phosphorus concentrations were significantly higher by 7.34 and 8.90% (<italic>p</italic>&#x202F;&#x003C;&#x202F;0.05) in the ZOF treatment, respectively. Compared with SF, soil DOC concentration was significantly higher by 15.84, 12.62, and 19.48% (<italic>p</italic>&#x202F;&#x003C;&#x202F;0.05) in OF, ZSF, and ZOF treatments, respectively. Overall, the ZOF treatment had the greatest impact on improving soil physicochemical properties, particularly in terms of available nutrient concentrations.</p>
<fig position="float" id="fig5">
<label>Figure 5</label>
<caption>
<p>Soil physicochemical properties following different fertilizer treatments. The pH <bold>(A)</bold>, bulk density <bold>(B)</bold>, concentrations of organic carbon <bold>(C)</bold>, total nitrogen <bold>(D)</bold>, DOC <bold>(E)</bold>, NH<sub>4</sub><sup>+</sup>-N <bold>(F)</bold>, NO<sub>3</sub><sup>&#x2212;</sup>-N <bold>(G)</bold>, available potassium <bold>(H)</bold>, and available phosphorus <bold>(I)</bold>. Different lowercase letters within a panel represent significant differences between different treatments (<italic>p&#x202F;&#x003C;</italic> 0.05), following ANOVA and the Tukey test. Data represent the mean &#x00B1; standard error.</p>
</caption>
<graphic xlink:href="fsufs-09-1614139-g005.tif" mimetype="image" mime-subtype="tiff">
<alt-text content-type="machine-generated">Nine-panel chart comparing different soil properties across five treatments: CK, SF, OF, ZSF, and ZOF. Panels display values for pH, bulk density, organic carbon, total nitrogen, dissolved organic carbon, ammonium nitrogen, nitrate nitrogen, available potassium, and available phosphorus. Each panel shows mean values with error bars, annotated with statistical group labels such as "a" or "b" indicating significance levels. Red circles denote mean values.</alt-text>
</graphic>
</fig>
<p>Compared with CK, the activities of soil enzymes <italic>&#x03B2;</italic>-glucosidase (<xref ref-type="fig" rid="fig6">Figure 6A</xref>) and nitrate reductase (<xref ref-type="fig" rid="fig6">Figure 6B</xref>), as well as the concentrations of MBC (<xref ref-type="fig" rid="fig6">Figure 6C</xref>) and MBN (<xref ref-type="fig" rid="fig6">Figure 6D</xref>), were significantly higher (<italic>p</italic>&#x202F;&#x003C;&#x202F;0.05) in the fertilizer treatments. Compared with SF treatment, the activity of soil &#x03B2;-glucosidase was significantly higher (<italic>p</italic>&#x202F;&#x003C;&#x202F;0.05) by 11.68 and 9.20% in OF and ZOF treatments, respectively, while the activity of nitrate reductase was significantly lower (<italic>p</italic>&#x202F;&#x003C;&#x202F;0.05) by 8.79% in the ZSF treatment. Compared with SF, MBC and MBN concentrations were significantly higher by 8.42 and 11.29% in the ZOF treatment (<italic>p</italic>&#x202F;&#x003C;&#x202F;0.05), respectively. In general, the ZOF treatment significantly increased soil &#x03B2;-glucosidase activities and microbial biomass in the soil.</p>
<fig position="float" id="fig6">
<label>Figure 6</label>
<caption>
<p>Soil enzyme activities and microbial biomass in different fertilizer treatments. <italic>&#x03B2;</italic>-glucosidase activity <bold>(A)</bold>, nitrate reductase activity <bold>(B)</bold>, microbial biomass carbon concentration <bold>(C)</bold>, and microbial biomass nitrogen concentration <bold>(D)</bold>. Different lowercase letters within a panel represent significant differences between different treatments (<italic>p&#x202F;&#x003C;</italic> 0.05), following ANOVA and the Tukey test. Data represent the mean &#x00B1; standard error.</p>
</caption>
<graphic xlink:href="fsufs-09-1614139-g006.tif" mimetype="image" mime-subtype="tiff">
<alt-text content-type="machine-generated">Four-panel graph depicting different soil enzyme activities and microbial biomass under various treatments: CK, SF, OF, ZSF, and ZOF. Panel (A) shows &#x03B2;-glucosidase activity, with highest values in SF and ZOF. Panel (B) displays nitrate reductase activity, peaking in SF. Panel (C) illustrates microbial biomass carbon, with lowest in CK. Panel (D) presents microbial biomass nitrogen, highest in ZOF. Red dots with error bars represent data points, with letters indicating statistical differences.</alt-text>
</graphic>
</fig>
</sec>
<sec id="sec18">
<label>3.4</label>
<title>Impact of soil factors on soil greenhouse gas emissions and maize yield</title>
<p>Significant positive correlations (<italic>p</italic>&#x202F;&#x003C;&#x202F;0.05) were observed between soil CO<sub>2</sub> emissions and several soil parameters, including WFPS, BG activity, and soil concentrations of DOC, OM, MBN, and MBC. Similarly, soil N<sub>2</sub>O emissions exhibited significant positive correlations (<italic>p</italic>&#x202F;&#x003C;&#x202F;0.05) with soil WFPS, NR activity, and concentrations of NO<sub>3</sub><sup>&#x2212;</sup>-N, TN, MBC, and MBN. Furthermore, maize yield was significantly positively correlated (<italic>p</italic>&#x202F;&#x003C;&#x202F;0.05) with multiple soil factors such as WFPS, BG activity, and concentrations of DOC, NH<sub>4</sub><sup>+</sup>-N, AP, AK, OM, TN, MBC, and MBN. These results suggested that GHG emissions and maize yield in sandy loam soil were closely related to soil moisture, available nutrients, and microbial biomass (<xref ref-type="fig" rid="fig7">Figure 7</xref>).</p>
<fig position="float" id="fig7">
<label>Figure 7</label>
<caption>
<p>Pearson&#x2019;s correlation analysis between soil greenhouse gas emissions, maize yield, and soil physicochemical properties. DOC: dissolved organic carbon; AN: NH<sub>4</sub><sup>+</sup>-N; NN: NO<sub>3</sub><sup>&#x2212;</sup>-N; AK: available potassium; AP: available phosphorus; WFPS: water-filled pore space; ST: soil temperature; BG: soil &#x03B2;-glucosidase activity; NR: nitrate reductase activity; SD: soil bulk density; OM: organic matter concentration; TN: total nitrogen concentration; MBC: microbial biomass carbon concentration; and MBN: microbial biomass nitrogen concentration. Red&#x202F;=&#x202F;positive, blue&#x202F;=&#x202F;negative <italic>r</italic> values; <sup>&#x002A;</sup><italic>p</italic>&#x202F;&#x003C;&#x202F;0.05; <sup>&#x002A;&#x002A;</sup><italic>p</italic>&#x202F;&#x003C;&#x202F;0.01; <italic>p</italic>&#x202F;&#x003C;&#x202F;0.001.</p>
</caption>
<graphic xlink:href="fsufs-09-1614139-g007.tif" mimetype="image" mime-subtype="tiff">
<alt-text content-type="machine-generated">A correlation heatmap with variables listed on the left: pH, DOC, AN, NN, AP, AK, WFPS, ST, BG, NR, SD, OM, TN, MBC, and MBN. The columns represent CO2, N2O, and Yield, with colored circles indicating correlation strength and direction: red for positive, blue for negative. The intensity varies with strength, as shown in the color gradient on the right from -0.3 to 0.6. Stars indicate statistical significance levels: one star for p&#x003C;0.05, two stars for p&#x003C;0.01, and three stars for p&#x003C;0.001.</alt-text>
</graphic>
</fig>
</sec>
</sec>
<sec sec-type="discussion" id="sec19">
<label>4</label>
<title>Discussion</title>
<sec id="sec20">
<label>4.1</label>
<title>Comparison of the effects of different fertilizers on soil CO<sub>2</sub> emissions</title>
<p>Soil CO<sub>2</sub> emissions in farmland primarily originate from the heterotrophic respiration of microorganisms and autotrophic respiration of crop roots (<xref ref-type="bibr" rid="ref17">Galic et al., 2019</xref>). In the current study, the first peak of soil CO<sub>2</sub> emission fluxes in each fertilizer treatment occurred on June 3 and 4. This peak was ascribed to the soil temperature and humidity becoming more suitable for microbial activity at this stage, so that the nutrients in the base fertilizer were transformed to provide sufficient nutrition for microorganisms, thereby facilitating their heterotrophic respiration. Notably, the soil CO<sub>2</sub> emission fluxes in the OF treatment were higher than those in the SF and ZSF treatments during this stage. This was because a large quantity of exogenous organic carbon from organic fertilizer was incorporated into the soil and directly served as the respiratory substrate for microorganisms, promoting soil CO<sub>2</sub> emissions (<xref ref-type="bibr" rid="ref54">Wang et al., 2022</xref>; <xref ref-type="bibr" rid="ref7">Chaker et al., 2023</xref>; <xref ref-type="bibr" rid="ref22">Jaiswal et al., 2024</xref>). By mid-June, as the easily degradable organic substances in the organic fertilizer were being consumed, the soil CO<sub>2</sub> emission fluxes under the OF treatment decreased and were no longer significantly different from those under the SF treatment. During the middle growth period of maize, a secondary peak in soil CO<sub>2</sub> emission fluxes occurred in each treatment. This might be because the abundant precipitation and relatively high soil temperatures (<xref ref-type="sec" rid="sec31">Supplementary Figure S2</xref>) during this period enhanced the activity of soil microorganisms. Particularly after the top-dressing of urea in late July, the concentration of available N in the sandy soil increased rapidly, providing sufficient N for the growth of both plants and microorganisms. At this point, the respiration of maize roots was intense, thus accelerating the soil CO<sub>2</sub> emission fluxes (<xref ref-type="bibr" rid="ref41">Oraegbunam et al., 2022</xref>; <xref ref-type="bibr" rid="ref32">Liu et al., 2024a</xref>).</p>
<p>Throughout the maize growing season, compared with SF, OF slightly increased the cumulative soil CO<sub>2</sub> emissions, which was consistent with the research results of <xref ref-type="bibr" rid="ref22">Jaiswal et al. (2024)</xref> and <xref ref-type="bibr" rid="ref32">Liu et al. (2024a)</xref>. The underlying mechanisms for increased CO&#x2082; emissions under OF treatment can be attributed to three key factors. First, the part-replacement of synthetic fertilizer by organic fertilizer increased the concentration of active organic carbon (from organic matter) in the sandy loam soil. This provided an adequate concentration of substrate for microbial respiration, promoted the metabolic activities of microorganisms, and directly increased CO<sub>2</sub> emissions (<xref ref-type="bibr" rid="ref4">Bhunia et al., 2021</xref>; <xref ref-type="bibr" rid="ref13">Delucena et al., 2023</xref>). The positive correlations observed between microbial biomass carbon, soil <italic>&#x03B2;</italic>-glucosidase activity, and soil CO&#x2082; emissions observed in this study supported this mechanism. Second, organic fertilizers application improved soil fertility, which in turn promoted the growth and metabolism of maize roots. As a result, the CO<sub>2</sub> emissions from root respiration increased. The increase in belowground biomass observed in this study also supported this hypothesis (<xref ref-type="bibr" rid="ref4">Bhunia et al., 2021</xref>; <xref ref-type="bibr" rid="ref58">Yan et al., 2023</xref>). Third, the introduction of exogenous organic matter into sandy loam soil accelerated the decomposition of the original soil organic matter, triggering a positive priming effect. Collectively, these mechanisms contributed to an increase in soil CO<sub>2</sub> emissions under the OF treatment (<xref ref-type="bibr" rid="ref7">Chaker et al., 2023</xref>).</p>
<p>In the current study, compared with the SF treatment, the ZSF treatment reduced soil CO<sub>2</sub> emissions to a certain extent, while the ZOF treatment had an insignificant impact on soil CO<sub>2</sub> emissions. This phenomenon was ascribed to the following reasons. First, the application of zeolite powder with a small particle size (35&#x202F;&#x03BC;m diameter) to the sandy loam soil increased the soil bulk density and decreased the porosity. To some extent, this led to a reduction in soil oxygen concentration, resulting in a decrease in the available oxygen within the soil. Consequently, the respiration rate of microorganisms and roots was inhibited, thereby reducing CO<sub>2</sub> emissions (<xref ref-type="bibr" rid="ref32">Liu et al., 2024a</xref>). However, zeolite addition had no significant effect on soil bulk density in clay soils (<xref ref-type="bibr" rid="ref14">Ersin et al., 2004</xref>; <xref ref-type="bibr" rid="ref39">Obalum and Obi, 2010</xref>), moreover, the oxygen diffusion coefficient in clay soils is significantly lower than that in sandy soils, which inherently inhibits aerobic respiration. Therefore, zeolite application that reduces soil CO&#x2082; emissions may be more suitable for sandy soils. Second, the sandy loam soil had a relatively low clay content, and the cohesion among soil particles was poor. As a result, it was challenging to form large aggregates and hence large pores to achieve soil aeration. The application of zeolite and exogenous organic matter could directly or indirectly supply a cementing agent for soil aggregates. This promoted the formation of large aggregates and enhanced the stability of soil aggregates through physical protection, thus reducing the decomposition of soil carbon (<xref ref-type="bibr" rid="ref2">Abdalla et al., 2022</xref>; <xref ref-type="bibr" rid="ref18">Hei et al., 2024</xref>). In addition, the application of zeolite not only decreased soil water evaporation but also increased the soil water-binding capacity (<xref ref-type="bibr" rid="ref36">Nakhli et al., 2017</xref>). Given that CO<sub>2</sub> has a high solubility in water, the application of zeolite decreased the diffusion of CO&#x2082; to the soil surface (<xref ref-type="bibr" rid="ref2">Abdalla et al., 2022</xref>).</p>
</sec>
<sec id="sec21">
<label>4.2</label>
<title>Comparison of the effects of different fertilizers on soil N<sub>2</sub>O emissions</title>
<p>Because soil N<sub>2</sub>O generation and emission are under the regulation of N fertilizer management strategies, a rationalized N fertilizer approach could effectively curtail soil N<sub>2</sub>O emissions (<xref ref-type="bibr" rid="ref56">Wu et al., 2024</xref>). In the present study, the peak value of soil N<sub>2</sub>O flux occurred following N fertilizer application, with the highest peak occurring under the SF treatment (<xref ref-type="fig" rid="fig4">Figure 4</xref>). Application of synthetic N fertilizer typically resulted in an excess of soil inorganic N. This surplus provided abundant substrates for both nitrification and denitrification, two complementary microbial processes in agricultural soils that generate N<sub>2</sub>O (<xref ref-type="bibr" rid="ref47">Shu et al., 2021</xref>; <xref ref-type="bibr" rid="ref8">Chataut et al., 2023</xref>). Our research revealed that, compared with SF, the OF treatment significantly reduced soil N<sub>2</sub>O emissions by 9.23&#x2013;10.85% (<xref ref-type="fig" rid="fig4">Figure 4</xref>), indicating that replacing 30% of synthetic fertilizer N with organic fertilizer N mitigated soil N<sub>2</sub>O emissions in a sandy loam soil. This finding aligned with results from previous research in loam and clay soils, which showed that substitution with organic N had a positive impact on soil quality and could reduce N<sub>2</sub>O emissions (<xref ref-type="bibr" rid="ref27">Liang et al., 2024</xref>; <xref ref-type="bibr" rid="ref42">Park et al., 2024</xref>). Several mechanisms can account for the decrease in N&#x2082;O emissions in response to organic fertilizer N substitution. First, soil NO<sub>3</sub><sup>&#x2212;</sup> and NH<sub>4</sub><sup>+</sup>, serving as key substrates and reactants in nitrification and denitrification processes, play pivotal roles in regulating N<sub>2</sub>O fluxes (<xref ref-type="bibr" rid="ref55">Wu et al., 2022</xref>). Organic N fertilizer part-substitution for synthetic N fertilizer reduced soil NO<sub>3</sub><sup>&#x2212;</sup> and NH<sub>4</sub><sup>+</sup> concentrations compared with sole inorganic N fertilizer application (<xref ref-type="fig" rid="fig5">Figure 5</xref>), a finding which was similar to the results of <xref ref-type="bibr" rid="ref56">Wu et al. (2024)</xref>. Generally, organic fertilizers predominantly supply organic N, which is gradually converted to inorganic N through N mineralization, then the mineral N is quickly absorbed by plants (<xref ref-type="bibr" rid="ref22">Jaiswal et al., 2024</xref>). As a result, organic substitution diminishes the supply of mineral N substrates for nitrifying and denitrifying bacteria, thereby reducing N<sub>2</sub>O emissions. This phenomenon is further supported by the positive correlations between N<sub>2</sub>O emissions and soil NO<sub>3</sub><sup>&#x2212;</sup> and NH<sub>4</sub><sup>+</sup> concentrations observed in both the current study (<xref ref-type="fig" rid="fig7">Figure 7</xref>) and prior research (<xref ref-type="bibr" rid="ref57">Xie et al., 2024</xref>).</p>
<p>Second, organic fertilizers release N slowly after the decomposition of organic matter, limiting the risk of N being converted into N<sub>2</sub>O, N<sub>2</sub>, or ammonia (<xref ref-type="bibr" rid="ref47">Shu et al., 2021</xref>). Moreover, organic fertilizers can enhance the retention of available N in the soil, facilitating its uptake by plants and minimizing excessive gaseous N losses (<xref ref-type="bibr" rid="ref10">Cheng et al., 2022</xref>; <xref ref-type="bibr" rid="ref27">Liang et al., 2024</xref>). Finally, organic fertilizers can promote the reduction of N<sub>2</sub>O to N<sub>2</sub> by enhancing electron flow in denitrification, especially in low-NO<sub>3</sub><sup>&#x2212;</sup> soils (<xref ref-type="bibr" rid="ref50">Tang et al., 2024</xref>). In the present study, the soil NO<sub>3</sub><sup>&#x2212;</sup> concentration was relatively low in the OF treatment, which led to the reduction of N<sub>2</sub>O emissions.</p>
<p>The results indicated that, compared with the SF treatment, the peak values of N&#x2082;O emission fluxes and cumulative N&#x2082;O emissions were lower in zeolite application treatments (ZSF and ZOF) than in no-zeolite treatments. This suggested that the application of zeolite mitigated soil N<sub>2</sub>O emissions in sandy loam soils, a conclusion that aligned with research findings from paddy soils (<xref ref-type="bibr" rid="ref45">Sha et al., 2020</xref>). Several underlying factors can account for this phenomenon. Firstly, due to its high adsorption capacity, zeolite can &#x201C;dampen the peaks&#x201D; of soil nutrients following N fertilizer application. It reduces the concentrations of reaction substrates (NO<sub>3</sub><sup>&#x2212;</sup> and NH<sub>4</sub><sup>+</sup>) for soil nitrification&#x2013;denitrification processes following N application. As a result, zeolite mitigates the peak values of soil N<sub>2</sub>O generation and emission after the application of both base and top-dressing N fertilizers (<xref ref-type="bibr" rid="ref21">Ippolito et al., 2011</xref>; <xref ref-type="bibr" rid="ref32">Liu et al., 2024a</xref>). Second, zeolite can bind NH<sub>4</sub><sup>+</sup> within its pore structure, providing a long-lasting fertilizer effect. Moreover, the small channels within zeolite can prevent nitrifying bacteria from accessing the bound NH<sub>4</sub><sup>+</sup>, thus inhibiting the nitrification of NH<sub>4</sub><sup>+</sup>. This effectively reduces the loss of active N (<xref ref-type="bibr" rid="ref23">Jumadi et al., 2020</xref>). Thirdly, zeolite has a high water-holding capacity. It can regulate water flow within soil pores and mitigate N<sub>2</sub>O emissions by reducing the nitrification process in the soil (<xref ref-type="bibr" rid="ref62">Zheng et al., 2024</xref>). Lastly, the application of zeolite can effectively suppress nitrate reductase activity (<xref ref-type="fig" rid="fig6">Figure 6</xref>), a key enzyme in denitrification pathways, thereby reducing N<sub>2</sub>O emissions (<xref ref-type="bibr" rid="ref52">Tzanakakis et al., 2021</xref>).</p>
<p>The application to soil of zeolite significantly mitigated soil N<sub>2</sub>O emissions primarily through two integrated mechanisms when organic fertilizer replaced 30% of the synthetic N in sandy loam soil (<xref ref-type="fig" rid="fig4">Figures 4</xref>, <xref ref-type="fig" rid="fig5">5</xref>). First, the N release rate from the organic fertilizer, in combination with zeolite&#x2019;s capacity to adsorb part of NH<sub>4</sub><sup>+</sup>-N and NO<sub>3</sub><sup>&#x2212;</sup>-N, prevented the concentrations of inorganic N in the soil from reaching excessively high levels. This phenomenon reduced the substrates available for nitrification and denitrification, thereby decreasing the peak value of N<sub>2</sub>O emission flux and N<sub>2</sub>O cumulative emissions in the ZOF (zeolite-organic-synthetic fertilizer) treatment (<xref ref-type="fig" rid="fig4">Figure 4</xref>). The increase in soil organic N, which was introduced through the application of organic fertilizer, can promote the assimilation of organic N by soil microbial activity, immobilize more N by microbial activity, and reduce the amount of N available for the production of N<sub>2</sub>O (<xref ref-type="bibr" rid="ref36">Nakhli et al., 2017</xref>; <xref ref-type="bibr" rid="ref10">Cheng et al., 2022</xref>). This present study further confirmed that the ZOF treatment significantly increased the MBN concentration (<xref ref-type="fig" rid="fig6">Figure 6</xref>); during the maize growing season, the N<sub>2</sub>O fluxes were significantly negatively correlated with MBN concentration (<xref ref-type="fig" rid="fig7">Figure 7</xref>) (<xref ref-type="bibr" rid="ref62">Zheng et al., 2024</xref>). Second, zeolite enhanced the soil aggregate structure, while organic fertilizers increased soil organic matter and microbial activities. Together, they created a favorable soil environment for crop growth and microbial activity, increased the activity of denitrifying enzymes, enhanced the reduction of NO<sub>3</sub><sup>&#x2212;</sup> to N<sub>2</sub>, and inhibited the production and emission of N<sub>2</sub>O (<xref ref-type="bibr" rid="ref42">Park et al., 2024</xref>).</p>
<p>Soil temperature and moisture are also pivotal factors influencing N<sub>2</sub>O emissions (<xref ref-type="bibr" rid="ref55">Wu et al., 2022</xref>; <xref ref-type="bibr" rid="ref22">Jaiswal et al., 2024</xref>). N<sub>2</sub>O emissions were substantially higher during the middle stage of the maize growth period compared with the early stage. This difference can be mainly attributed to the higher soil temperature and moisture levels in the middle stage of maize growth (<xref ref-type="fig" rid="fig1">Figure 1</xref> and <xref ref-type="sec" rid="sec31">Supplementary Figure S2</xref>). These elevated conditions accelerate the N-cycling process, thereby enhancing N<sub>2</sub>O production (<xref ref-type="bibr" rid="ref23">Jumadi et al., 2020</xref>; <xref ref-type="bibr" rid="ref63">Zhong et al., 2021</xref>). When water acts as a limiting factor, the ZOF treatment increased the N&#x2082;O emission flux during this stage, due to an increase in the WFPS content (<xref ref-type="sec" rid="sec31">Supplementary Figure S3</xref>). Notably, WFPS exhibited a significant positive correlation with soil N&#x2082;O emissions, as reported by <xref ref-type="bibr" rid="ref15">Fan et al. (2024)</xref>.</p>
</sec>
<sec id="sec22">
<label>4.3</label>
<title>Comparison of the effects of different fertilizers on soil fertility</title>
<p>Soil quality is a multifaceted indicator that reflects the soil&#x2019;s potential to sustain its ecological functions, which depends on the interplay of physical, chemical, and biological properties (<xref ref-type="bibr" rid="ref26">Li et al., 2022</xref>). The present study demonstrated that the ZOF treatment augmented the concentrations of soil organic matter, dissolved organic carbon, available potassium, and available phosphorus in sandy loam soil. Additionally, it increased the activities of soil <italic>&#x03B2;</italic>-glucosidase and the concentrations of microbial biomass carbon and nitrogen, while reducing the soil&#x2019;s bulk density. This finding is largely consistent with previous research, indicating that, when the organic fertilizer, replacing 30% of the synthetic fertilizer N, and zeolite were applied together, soil quality was improved (<xref ref-type="bibr" rid="ref42">Park et al., 2024</xref>).</p>
<p>The soil treated with organic fertilizer and zeolite co-application was also more effective at retaining soil nutrients. Organic fertilizers are enriched with organic matter containing various nutrients and can provide a rich source of nutrients to the soil. The slow-release nature of nutrients from organic fertilizers ensures a continuous nutrient supply (<xref ref-type="bibr" rid="ref18">Hei et al., 2024</xref>; <xref ref-type="bibr" rid="ref56">Wu et al., 2024</xref>). Zeolite, with its distinctive porous structure and high cation-exchange capacity, can adsorb and store nutrient ions such as NH<sub>4</sub><sup>+</sup>, NO<sub>3</sub><sup>&#x2212;</sup>, K<sup>+</sup>, PO<sub>4</sub><sup>3&#x2212;</sup>, and Mg<sup>2+</sup>, preventing these nutrients from being leached away by rainwater or irrigation (<xref ref-type="bibr" rid="ref25">Latifah et al., 2017</xref>; <xref ref-type="bibr" rid="ref3">Baghbani-Arani et al., 2020</xref>; <xref ref-type="bibr" rid="ref16">Ferretti et al., 2024</xref>), and minimizing NO&#x2083;<sup>&#x2212;</sup> losses in sandy loam soil of North China (<xref ref-type="bibr" rid="ref26">Li et al., 2022</xref>). Consequently, the combined application of zeolite and organic fertilizer further bolsters the soil&#x2019;s nutrient-retention capacity.</p>
<p>The co-application of organic fertilizer and zeolite can enhance the aggregation of soil particles (<xref ref-type="bibr" rid="ref28">Lin et al., 2025</xref>). The organic colloidal substances in organic fertilizers can interact with zeolite and bind soil particles together, forming more stable aggregates. The activity of soil microorganisms is enhanced under the ZOF treatment. Organic fertilizers provide labile carbon sources and energy for microorganisms, spurring their activity and reproduction, and increasing microbial biomass carbon and nitrogen (<xref ref-type="bibr" rid="ref30">Liu et al., 2024b</xref>). Simultaneously, during the decomposition of organic fertilizers and the utilization of nutrients adsorbed by zeolite, the metabolic activities of microorganisms increase. This leads to an increase in the activities of soil enzymes, such as &#x03B2;-glucosidase and nitrate reductase activity, and these enzymes play a crucial role in the transformation of soil carbon and nitrogen nutrients (<xref ref-type="bibr" rid="ref59">Yang et al., 2019</xref>).</p>
</sec>
<sec id="sec23">
<label>4.4</label>
<title>Comparison of the effects of different fertilizers on maize yield, GWP, and GHGI</title>
<p>Stable or increased production is one of the most effective ways to evaluate agricultural practices (<xref ref-type="bibr" rid="ref53">Wang et al., 2024</xref>). Previous studies have confirmed that the reasonable application of organic fertilizers and the addition of zeolite are important management strategy for increasing crop yields in sandy soils (<xref ref-type="bibr" rid="ref34">Liu et al., 2024c</xref>; <xref ref-type="bibr" rid="ref62">Zheng et al., 2024</xref>). The current study obtained similar results, demonstrating that the co-applied organic fertilizer and zeolite could significantly enhance maize yield, primarily as a result of their ability to provide sufficient nutrients and foster a suitable growth environment for maize plants. Previous studies have confirmed that rationalized application of organic fertilizers, in conjunction with the addition of zeolite, serves as a pivotal management strategy for enhancing crop yields in sandy soil (<xref ref-type="bibr" rid="ref34">Liu et al., 2024c</xref>; <xref ref-type="bibr" rid="ref62">Zheng et al., 2024</xref>), underscoring their applicability across temperate sandy agroecosystems.</p>
<p>When applied to the soil, zeolite exhibits remarkable properties. It can adsorb a substantial quantity of water and nutrient ions due to its microporous structure and high cation exchange capacity, thereby minimizing water and nutrient losses that typically occur after fertilizer application. Moreover, when the concentrations of water and nutrients in the soil are relatively low, zeolite slowly releases the adsorbed substances (<xref ref-type="bibr" rid="ref51">Tarkalson and Ippolito, 2011</xref>; <xref ref-type="bibr" rid="ref62">Zheng et al., 2024</xref>). Through this dynamic adsorption-release balance of zeolite, the various nutrient elements from organic fertilizers are gradually released into the soil, ensuring the continuous supply of available water and nutrients in sandy soil, mitigating the negative impacts of water and nutrient deficiency stress on maize yield, and improving water- and fertilizer-use efficiency to a certain extent (<xref ref-type="bibr" rid="ref40">Omar et al., 2018</xref>; <xref ref-type="bibr" rid="ref34">Liu et al., 2024c</xref>; <xref ref-type="bibr" rid="ref53">Wang et al., 2024</xref>). In addition, a relatively well-developed root system directly augments the plant&#x2019;s capacity to take up water and soil nutrients, including NH<sub>4</sub><sup>+</sup>, NO<sub>3</sub><sup>&#x2212;</sup>, available phosphorus, and available potassium (<xref ref-type="bibr" rid="ref3">Baghbani-Arani et al., 2020</xref>; <xref ref-type="bibr" rid="ref33">Liu et al., 2023</xref>). In addition, such a robust root system effectively enhances the transport efficiency of nutrients and water from the soil to the shoots, increasing leaf relative water content by 12% and photosynthetic rate by 15%, consequently increasing nutrient accumulation and aboveground biomass (stems and leaves) and grain yield of maize (<xref ref-type="bibr" rid="ref42">Park et al., 2024</xref>). Furthermore, appropriate concentrations of soil water and nutrients stimulate microbial biomass and shift community composition, and reduce nutrient loss by carbon and nitrogen fixation by microbes, enhancing the utilization efficiency of water and nutrients by maize and ultimately contributing to an increase in maize yield (<xref ref-type="bibr" rid="ref25">Latifah et al., 2017</xref>; <xref ref-type="bibr" rid="ref42">Park et al., 2024</xref>). In conclusion, the co-addition of organic fertilizer (replacing 30% of the synthetic N fertilizer) and zeolite represented an effective approach to improving maize yield in sandy loam soil and promoted the sustainable production of such farmland. However, the optimal ratio of the application of zeolite to organic fertilizer for the improvement of loamy sandy soil still requires systematic investigation.</p>
<p>In the current study, the GWP was calculated based on the fluxes of two GHGs, CO<sub>2</sub> and N<sub>2</sub>O, expressed in terms of CO<sub>2</sub>-equivalents, following the methodology proposed by <xref ref-type="bibr" rid="ref8">Chataut et al. (2023)</xref>. Consistent with previous research (<xref ref-type="bibr" rid="ref30">Liu et al., 2024b</xref>; <xref ref-type="bibr" rid="ref57">Xie et al., 2024</xref>), our findings demonstrated that the OF and ZSF treatments significantly reduced the contribution of N<sub>2</sub>O emissions to GWP during the maize growing season (<xref ref-type="table" rid="tab2">Table 2</xref>); this may be because both the replacement of 30% of synthetic N fertilizer by organic fertilizer and the application of zeolite inhibited N<sub>2</sub>O emissions (<xref ref-type="fig" rid="fig4">Figure 4</xref>). Additionally, the ZOF treatment significantly decreased the total GWP in 2023. This is likely because co-application of organic fertilizer and zeolite inhibited both N<sub>2</sub>O and CO<sub>2</sub> emissions. The GHGI depends on the grain yield of maize and the total greenhouse gas emissions from the soil and is a variable which can better reflect the relationship between economic and environmental benefits in agricultural systems (<xref ref-type="bibr" rid="ref60">Zhang et al., 2019</xref>). Compared with the SF treatment, the GHGI was lower in the OF, ZSF, and ZOF treatments during the 3&#x202F;years of trials (<xref ref-type="table" rid="tab2">Table 2</xref>), and was due to the increase in maize yield (<xref ref-type="fig" rid="fig2">Figure 2</xref>) and decrease in the N&#x2082;O-related contribution to GWP. The present research indicated that the ZOF treatment had the most pronounced effect in reducing CO<sub>2</sub> and N<sub>2</sub>O emissions and improving maize production by promoting soil physicochemical and biological properties in sandy loam soil, thus confirming our initial hypothesis. The organic N fertilizer replacing 30% synthetic N with 15.0&#x202F;t hm<sup>&#x2212;2</sup> zeolite added (ZOF) hold great promise for reducing GHG emissions, enhancing maize yields, and improving soil quality in the sandy loam soils of the North China Plain. Overall, our research has not only provided invaluable insights into the sustainable development of sandy loam farmlands, but also offered a technical basis for yield enhancement and GHG emission reduction (particularly N&#x2082;O) in vegetable cultivation with high fertilizer requirements in this region. However, in farmlands with other soil types in temperate regions, it is essential to adjust the application scheme of zeolite-organic amendments according to local soil types to achieve the synergistic objectives of carbon sequestration and yield enhancement, complemented by appropriate agricultural extension programs to enhance regional climate adaptability.</p>
</sec>
</sec>
<sec sec-type="conclusions" id="sec24">
<label>5</label>
<title>Conclusion</title>
<p>Compared with the control, fertilization treatments significantly enhanced maize yield. Notably, the yield-increasing effect of organic fertilizer substitution and zeolite application became progressively more pronounced over time. Both the ZOF and ZSF treatments gradually increased maize yields over time and were less prone to generating soil N&#x2082;O emissions than the SF treatment. Compared with the SF treatment, the ZOF treatment significantly mitigated GHG emissions, especially N<sub>2</sub>O emissions, while enhancing maize yield and soil quality in sandy loam soils. The increased maize yield in the ZOF treatment could be attributed to increased concentrations of soil moisture, available potassium and available phosphorus, and microbial biomass. The reduced N&#x2082;O emissions from the maize field under the ZOF treatment were achieved by decreasing soil NH<sub>4</sub><sup>+</sup>-N and NO<sub>3</sub><sup>&#x2212;</sup>-N concentrations. The ZOF treatment significantly mitigated GHGI due to lower GWP and higher yield than the SF treatment. Our findings concluded that the ZOF treatment was optimal for achieving stable yield and reductions in GHG emissions based on comprehensive crop yield and environmental benefits.</p>
</sec>
</body>
<back>
<sec sec-type="data-availability" id="sec25">
<title>Data availability statement</title>
<p>The original contributions presented in the study are included in the article/<xref ref-type="sec" rid="sec31">Supplementary material</xref>, further inquiries can be directed to the corresponding author/s.</p>
</sec>
<sec sec-type="author-contributions" id="sec26">
<title>Author contributions</title>
<p>XW: Writing &#x2013; original draft, Writing &#x2013; review &#x0026; editing, Data curation. JW: Writing &#x2013; review &#x0026; editing, Methodology, Conceptualization. PY: Software, Writing &#x2013; original draft, Formal analysis. QZ: Writing &#x2013; original draft, Data curation, Supervision. QS: Writing &#x2013; review &#x0026; editing, Project administration. DL: Project administration, Funding acquisition, Writing &#x2013; review &#x0026; editing.</p>
</sec>
<sec sec-type="funding-information" id="sec27">
<title>Funding</title>
<p>The author(s) declare that financial support was received for the research and/or publication of this article. This work was supported by the National Key Research and Development Program of China (2022YFD1901300), the Technology Innovation Capacity Construction Project of Beijing Academy of Agricultural and Forestry Sciences Science (KJCX20240312 and KJCX20230421), and the Reform and Development Project of Beijing Academy of Agriculture and Forestry Sciences (ZHS202402).</p>
</sec>
<ack>
<p>We thank International Science Editing (<ext-link xlink:href="http://www.internationalscienceediting.com" ext-link-type="uri">http://www.internationalscienceediting.com</ext-link>) for editing this manuscript.</p>
</ack>
<sec sec-type="COI-statement" id="sec28">
<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 sec-type="ai-statement" id="sec29">
<title>Generative AI statement</title>
<p>The authors declare that no Gen AI was used in the creation of this manuscript.</p>
<p>Any alternative text (alt text) provided alongside figures in this article has been generated by Frontiers with the support of artificial intelligence and reasonable efforts have been made to ensure accuracy, including review by the authors wherever possible. If you identify any issues, please contact us.</p>
</sec>
<sec sec-type="disclaimer" id="sec30">
<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 sec-type="supplementary-material" id="sec31">
<title>Supplementary material</title>
<p>The Supplementary material for this article can be found online at: <ext-link xlink:href="https://www.frontiersin.org/articles/10.3389/fsufs.2025.1614139/full#supplementary-material" ext-link-type="uri">https://www.frontiersin.org/articles/10.3389/fsufs.2025.1614139/full#supplementary-material</ext-link></p>
<supplementary-material xlink:href="Table_1.docx" id="SM1" mimetype="application/vnd.openxmlformats-officedocument.wordprocessingml.document" xmlns:xlink="http://www.w3.org/1999/xlink"/>
</sec>
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