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        <identifier>oai:figshare.com:article/34021527</identifier>
        <datestamp>2026-09-29T05:53:42Z</datestamp>
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          <dc:title>Data Sheet 1_Optimizing biogas slurry and biochar co-application to enhance soil microenvironment, mitigate greenhouse gas emissions, and increase tomato yield in greenhouse systems.docx</dc:title>
          <dc:creator>Qinglin Sa (25135632)</dc:creator>
          <dc:creator>Jian Zheng (287758)</dc:creator>
          <dc:creator>Ke Zhang (115386)</dc:creator>
          <dc:creator>Yan Wang (15435)</dc:creator>
          <dc:creator>Xuqin Fu (25135635)</dc:creator>
          <dc:creator>Shikun Sun (13142328)</dc:creator>
          <dc:subject>Food Packaging, Preservation and Safety</dc:subject>
          <dc:subject>biochar</dc:subject>
          <dc:subject>biogas slurry</dc:subject>
          <dc:subject>greenhouse gas emissions</dc:subject>
          <dc:subject>greenhouse tomato</dc:subject>
          <dc:subject>multi-criteria decision analysis</dc:subject>
          <dc:subject>soil degradation</dc:subject>
          <dc:description>&lt;p&gt;To support agricultural carbon peaking and carbon neutrality goals, this study investigated the uncertainties surrounding greenhouse gas emissions and nutrient leaching associated with biogas slurry utilization. It systematically explored the mechanisms and mitigation pathways of co-applying biogas slurry, biochar, and chemical fertilizers for reducing greenhouse gas emissions and nutrient losses under intensive agricultural management characterized by excessive irrigation and fertilizer application. Under equivalent N, P, and K inputs and consistent irrigation levels, different substitution ratios of biogas slurry for chemical fertilizers were evaluated in a point-source underground irrigation system. Treatments included CF, FR, BS25, BS50, BS75, and BS100, with corresponding biochar treatments CF + C, FR + C, BS25 + C, BS50 + C, BS75 + C, and BS100 + C. Tomato yield, soil physical properties, microbial biomass, microbial gene copy numbers, and soil greenhouse gas emissions were measured. Key influencing factors and optimal management strategies were identified using multivariate statistical analysis and a multi-criteria decision approach. The results indicated that biogas slurry combined with biochar significantly improved the soil microenvironment in greenhouse tomato systems by enhancing soil temperature (ST), soil moisture content (SMC), and water-filled pore space (WFPS), especially during the flowering stage in both spring-summer and autumn-winter periods. Biochar also significantly increased microbial biomass carbon (MBC), while microbial gene copy numbers, including AOA, AOB, and mcrA, showed clear seasonal variation. Regarding greenhouse gas emissions, co-application of biogas slurry and biochar significantly affected CO&lt;sub&gt;2&lt;/sub&gt; fluxes, particularly from days 8–119, promoting CO&lt;sub&gt;2&lt;/sub&gt; emissions. Biochar effectively suppressed N&lt;sub&gt;2&lt;/sub&gt;O emissions, promoted CH&lt;sub&gt;4&lt;/sub&gt; emissions during days 1–7, and reduced CH&lt;sub&gt;4&lt;/sub&gt; fluxes from days 8–119. The BS75 + C treatment significantly increased tomato yield to 151.34 t ha&lt;sup&gt;−1&lt;/sup&gt;, reduced global warming potential to 9491.43 kg ha&lt;sup&gt;−1&lt;/sup&gt;, and lowered greenhouse gas emission intensity. Compared with other treatments, BS75 + C consistently showed superior agronomic and environmental performance. Comprehensive analysis showed that ST, SMC, and MBC mainly influenced CO&lt;sub&gt;2&lt;/sub&gt; emissions; ST, AOA, and AOB influenced N&lt;sub&gt;2&lt;/sub&gt;O emissions; and mcrA, WFPS, and ST influenced CH&lt;sub&gt;4&lt;/sub&gt; emissions. Multi-criteria decision analysis identified BS75 + C as the optimal strategy for maximizing yield while minimizing greenhouse gas emissions and improving biogas slurry utilization efficiency in sustainable greenhouse agriculture.&lt;/p&gt;</dc:description>
          <dc:date>2026-09-29T05:53:42Z</dc:date>
          <dc:type>Dataset</dc:type>
          <dc:type>Dataset</dc:type>
          <dc:identifier>10.3389/fsufs.2026.1866425.s001</dc:identifier>
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          <dc:rights>CC BY 4.0</dc:rights>
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