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不同植被恢复方式对九寨沟震后土壤碳氮化学计量特征的影响 被引量:1

Effects of Different Restoration Models on Soil Carbon and Nitrogen Stoichiometry in Junzhaigou Earthquake-stricken Landslides
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摘要 通过比较自然恢复、人为恢复及与自然植被的土壤碳氮化学计量特征,以期为九寨沟地震受损滑坡体快速恢复提供理论依据。结果表明:(1)与未受损植被的土壤相比,受损植被滑坡体的土壤有机碳、总氮、可利用氮含量均更低,但pH值和碳氮比均更高。(2)人为恢复下的植被总盖度、土壤有机碳、总氮、可利用氮含量均高于自然恢复。(3)土壤有机碳含量与总氮或可利用氮含量呈现正相关、而与pH值或碳氮比呈显著负相关。短期的结果表明人为恢复措施比自然恢复更有利于九寨沟震损坡体植被的快速恢复。此外,建议在未来植被恢复中注意栽植固氮植物。 According to the comparison of soil carbon and nitrogen stoichiometry characteristics between natural restoration after earthquake(NR),artificial restoration after earthquake(AR)and natural vegetation without earthquake(CK)in Jiuzhaigou country,it could provide theoretical basis for rapid restoration of landslide damaged by Jiuzhaigou earthquake.The results showed that:(1)Compared with the soil without earthquake damage,the contents of soil organic carbon(SOC),total nitrogen(TN),available nitrogen(AN)in landslides with earthquake-damaged vegetation were lower than that on CK,but the pH value and C/N were higher.(2)The total vegetation coverage,SOC,TN and AN contents under artificial restoration were higher than those under natural restoration.(3)SOC was positively correlated with TN or AN,but negatively correlated with pH or C/N.These short-term results indicated that artificial restoration was better for vegetation recovery of earthquake-stricken landslides than natural restoration.In addition,it is suggested that nitrogen-fixing plants should be planted in the future vegetation restoration.
作者 鲜婷 董廷发 邓东周 潘红丽 刁元彬 刘玉平 XIAN Ting;DONG Tingfa;DENG Dongzhou;PAN Hongli;DIAO Yuanbin;LIU Yuping(College of Life Sciences,China West Normal University,Nanchong 637002,China;Sichuan Key Laboratory of Ecological Restoration and Conservation for Forest and Wetland,Sichuan Academy of Forestry,Chengdu 610081,China)
出处 《四川林业科技》 2021年第1期11-15,共5页 Journal of Sichuan Forestry Science and Technology
基金 九寨沟地震灾区珍稀动物受损栖息地林草植被快速恢复模式研究与示范。
关键词 碳氮化学计量学 植被恢复 九寨沟 滑坡体 Carbon and nitrogen stoichiometry Vegetation restoration Jizhaigou Landslide
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