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山东枣园地被植物对土壤固碳能力的影响

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为明确枣园常用地被植物吸收二氧化碳(CO2)能力及其对土壤固碳能力的影响,选择可有效降低空气中温室气体的鼠茅草、长柔毛野豌豆和油菜等草品种,以自然生草为对照,研究分析不同地被植物吸收碳的能力,刈割覆盖后生物量损失量、残渣分解初期碳含量、分解末期碳含量和土壤有机碳含量的变化,为枣园地被植物选择提供依据。结果表明:长柔毛野豌豆吸收碳的能力最强,达3596。7~4822。3kg。hm-2·a-1;自然生草刈割覆盖并分解3个月后残渣剩余碳最多,在1164。55~2529。97kg hm-2;油菜碳释放碳量高于其他3种地被植物,平均5679。7 kg·hm-2·a-1,最高达6316。67kg·hm-2·a-1,是对照的1。56倍;油菜使土壤固定的有机碳最多,达4790。75kg·hm-2·a-1,为对照的1。4倍。
Effects of Ground-covered Plants in Jujube Orchard on Soil Carbon Sequestration Capacity in Shandong
The process of CO2 entering the plant through photosynthesis was divided into two phases:plant absorption and soil fixation.It had been studied that the capacities of these four samples,which were Vulpiamyuros,Vicia villosa Roth,rapeseed and natural grass,absorbing CO2 through photosynthesis and that the variation of organic carbon amount in soil.And we also did some work on loss of biomass,carbon amount in early and last resudue decomposition.The result showed that Vicia villosa Roth had the most powerful capacity in carbon absorbing,which reached 3596.7-4822.3kg·ha-1·y-1.The remaining carbon should be the most after three months of cutting,clustering and decomposing and could reach a value of 1164.55-2529.97kg·ha-1.Rapeseed had the highest value of carbon emission in the four plants,which reached the average of 5679.75kg·ha-1 and the highest of 6316.67kg·ha-1 which was 1.56 times as much as the CK.The quantity of fixed carbon in the soil covered by rapeseed was the highest of 4790.75kg·ha-1·y-1,which was 1.4 times more than the CK.This thesis can be used as an instruction for selecting right ground plants in jujube orchard and also be useful for decreasing carbon dioxide from air to come to the carbon neutral.

Carbon sinkClimate changeGround coverSoil organic carbon

李庆军、盖志君、郑晓宁、柳蕴芬、高静、许可军、刘孟军

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河北农业大学园艺学院,保定 071000

山东滨州国家农业科技园区管理服务中心,滨州 256600

滨州市滨城区政务服务中心,滨州 256600

无棣县检验检测中心,滨州 251900

烟台市福山区农业技术推广中心,烟台 265500

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碳汇 长柔毛野豌豆 地被植物 土壤有机碳

山东省农业良种工程山东省重点研发计划资助项目山东省科技特派员行动计划资助项目

2020LZGC0082019GNC215182020KJTPY058

2024

中国农业气象
中国农业科学院农业环境与可持续发展研究所

中国农业气象

CSTPCD
影响因子:1.679
ISSN:1000-6362
年,卷(期):2024.45(2)
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