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加氣灌溉下土壤呼吸與環(huán)境因子相關(guān)性研究
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海南省自然科學基金面上項目（322MS118）和海南省自然科學基金青年基金項目（322QN416、322QN375）


Correlation of Soil Respiration and Environmental Factors under Aerated Irrigation
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    摘要:

    為探明加氣灌溉技術(shù)對土壤呼吸速率的影響及調(diào)控機制,，完善加氣灌溉技術(shù)下土壤呼吸排放機理,，以國家土壤質(zhì)量湛江觀測實驗站為平臺開展為期3年（2019—2021年）的定位試驗，每年開展2次試驗觀測,，研究加氣灌溉（Aerated irrigation,，AI）和不加氣灌溉（CK）兩種處理對土壤呼吸速率、土壤溫度,、含水率,、含氧量、土壤細菌生物量及根系生物量的影響,，采用偏最小二乘回歸分析（Partial least square regression analysis,，PLSR）方法建立兩種處理下土壤呼吸速率與土壤溫度、含水率,、含氧量,、土壤細菌生物量及根系生物量的回歸方程，篩選出加氣灌溉技術(shù)下影響土壤呼吸速率變化的主要土壤環(huán)境因子,。研究結(jié)果表明,，AI處理后土壤呼吸速率和土壤含氧量分別提高12.30%~20.54%和19.90%~25.70%，同時植株根系生物量和土壤細菌生物量分別提高15.30%~22.67%和35.10%~69.17%,，土壤含水率降低3.36%~14.30%,，不同處理對土壤溫度影響不顯著?；貧w擬合結(jié)果表明,，兩種處理下土壤呼吸速率與土壤溫度、土壤含水率均呈二次多項式負相關(guān)關(guān)系，與土壤含氧量呈線性正相關(guān),，與根系生物量呈冪函數(shù)正相關(guān),，與土壤細菌生物量呈指數(shù)正相關(guān)。PLSR模型的變量重要性投影（Variable importance for projection,，VIP）值表明土壤溫度（VIP值為1.48）,、土壤含氧量（VIP值為1.40）、根系生物量（VIP值為1.25）和細菌生物量（VIP值為1.09）是影響土壤呼吸速率變化的主要影響因子,，加氣灌溉技術(shù)可以通過改變土壤含氧量,、根系生物量及細菌生物量對土壤呼吸速率產(chǎn)生驅(qū)動作用。研究結(jié)果可為完善加氣灌溉下土壤呼吸速率變化響應機理,、合理制定有效的土壤碳排放調(diào)控管理措施提供理論依據(jù),。

    Abstract:

    In order to investigate the effect of aerated irrigation technology on soil respiration rate and its regulation mechanism, and improve the mechanism of soil respiration emission under aerated irrigation technology, a three-year (2019—2021) localization experiment was conducted at the National Soil Quality Zhanjiang Observatory as a platform, with two experimental observations each year, to investigate the effects of aerated irrigation (AI) and nonaerated irrigation (CK) on soil respiration rate, soil temperature, water content, oxygen content, soil bacterial biomass and root biomass. The results showed that AI treatments increased soil respiration rate and soil oxygen content by 12.30%~20.54% and 19.90%~25.70%, respectively, increased plant root biomass and soil bacterial biomass by 15.30%~22.67% and 35.10%~69.17%, respectively, and decreased soil water content by 3.36%~14.30%. The effects of different treatments on soil temperature were not significant. The regression fitting results showed that soil respiration rate under both treatments had a negative quadratic polynomial correlation with soil temperature and soil water content, a linear positive correlation with soil oxygen content, a positive power function correlation with root biomass, and an exponential positive correlation with soil bacterial biomass. The variable importance for projection (VIP) values of the PLSR model indicated that soil temperature and soil water content were not significantly affected by the different treatments. VIP values indicated that soil temperature (VIP 1.48), soil oxygen content (VIP 1.40), root biomass (VIP 1.25) and bacterial biomass (VIP 1.09) were the main influencing factors on the changes of soil respiration rate. Soil respiration rate can be driven by aerated irrigation by changing soil oxygen content, root biomass and bacterial biomass. The research reuslt can provide a theoretical basis for improving the response mechanism of soil respiration rate change under aerated irrigation and formulating effective soil carbon emission control management measures.

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于珍珍,鄒華芬,于德水,汪春,李海亮,孫海天.加氣灌溉下土壤呼吸與環(huán)境因子相關(guān)性研究[J].農(nóng)業(yè)機械學報,2022,53(12):390-401,410. YU Zhenzhen, ZOU Huafen, YU Deshui, WANG Chun, LI Hailiang, SUN Haitian. Correlation of Soil Respiration and Environmental Factors under Aerated Irrigation[J]. Transactions of the Chinese Society for Agricultural Machinery,2022,53(12):390-401,410.

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  • 收稿日期:2021-12-22
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  • 在線發(fā)布日期: 2022-01-27
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