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Level of soil moisture determines the ability of Eisenia fetida to re-incorporate carbon from decomposed rice straw into the soil
European Journal of Soil Biology ( IF 4.2 ) Pub Date : 2020-07-01 , DOI: 10.1016/j.ejsobi.2020.103209
Anastasia Yu. Gorbunova , Daniil I. Korobushkin , Natalia V. Kostina , Maxim I. Degtyarev , Konstantin B. Gongalsky , Andrey S. Zaitsev

Abstract Burning is the most common practice for rice straw disposal. Due to associated negative environmental and climatic effects, development of viable alternatives, preferably based on the natural functions of soil biota are needed. In the conditions of non-tropical rice-growing systems, where periods of flooding are very short, such an approach seems to be particularly promising. We carried out a mesocosm experiment to assess the possibility of using the model earthworm species Eisenia fetida (Savigny 1826) to decompose rice residues and control associated CO2 and CH4 emissions from paddy soils at different soil moisture levels. We filled 96 mesocosms with three types (32 each) of rice paddy soils collected in key regions of rice production in Russia: Krasnodarsky Krai (the Sea of Azov lowland, Calcic Phaeozems), the Republic of Kalmykia (the Volga river valley, Haplic Phaeozems) and Primorsky Krai (Khanka lake lowland, the Russian Far East, Umbric, Histic Fluvisols). We added 2.5 g dry rice straw in each mesocosm. The experiment had a full factorial design including three categorical factors: soil type (n = 3), soil moisture level (12, 25, 50 and 75% soil water holding capacity) and E. fetida earthworm addition (none and 4 individuals per mesocosm). The integral emission of CO2 across the observation period of 10 days significantly differed between moisture classes with the highest values at 25% (p

中文翻译:

土壤湿度水平决定了 Eisenia fetida 将分解的稻草中的碳重新结合到土壤中的能力

摘要 焚烧是稻草处理最常见的做法。由于相关的负面环境和气候影响,需要开发可行的替代品,最好是基于土壤生物群的自然功能。在非热带水稻种植系统的条件下,洪水期非常短,这种方法似乎特别有前途。我们进行了中观实验,以评估使用模型蚯蚓物种 Eisenia fetida (Savigny 1826) 分解水稻残留物并控制不同土壤湿度水平下稻田中相关 CO2 和 CH4 排放的可能性。我们用俄罗斯主要水稻生产地区收集的三种类型(每种 32 种)稻田土壤填充了 96 个中宇宙:克拉斯诺达尔斯基边疆区(亚速海低地,钙质磷钙土),卡尔梅克共和国(伏尔加河谷、哈普利奇火山岩)和滨海边疆区(坎卡湖低地、俄罗斯远东、乌布里克、Histic Fluvisols)。我们在每个中胚层中添加了 2.5 克干稻草。该实验采用全因子设计,包括三个分类因子:土壤类型(n = 3)、土壤水分水平(12%、25%、50% 和 75% 土壤持水量)和 E. fetida 蚯蚓添加量(每个中层无和 4 个个体) )。在 10 天的观察期内 CO2 的积分排放在水分等级之间存在显着差异,最高值为 25% (p 土壤类型(n = 3)、土壤水分水平(12%、25%、50% 和 75% 土壤持水能力)和 E. fetida 蚯蚓添加(无,每个中层有 4 个个体)。在 10 天的观察期内 CO2 的积分排放在水分等级之间存在显着差异,最高值为 25% (p 土壤类型(n = 3)、土壤水分水平(12%、25%、50% 和 75% 土壤持水能力)和 E. fetida 蚯蚓添加(无,每个中层有 4 个个体)。在 10 天的观察期内 CO2 的积分排放在水分等级之间存在显着差异,最高值为 25% (p
更新日期:2020-07-01
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