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陆地系统中的露石及其生态作用 被引量:9
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作者 沈有信 赵志猛 +2 位作者 毕胜春 赵高卷 刘娟 《地球科学进展》 CAS CSCD 北大核心 2018年第4期343-349,共7页
露石在陆地生态系统中十分常见,喀斯特生态系统尤为突出。露石在各种生态系统中产生积极或负面的影响,他们承接来自大气的降水(含穿透雨)、干湿沉降,殖居菌、藻、苔藓甚至高等维管束植物,可看成与邻近土壤斑块有鲜明对比的子生态系统。... 露石在陆地生态系统中十分常见,喀斯特生态系统尤为突出。露石在各种生态系统中产生积极或负面的影响,他们承接来自大气的降水(含穿透雨)、干湿沉降,殖居菌、藻、苔藓甚至高等维管束植物,可看成与邻近土壤斑块有鲜明对比的子生态系统。其承接和生产的水分和各种有机物质及无机物质输入邻近土壤斑块,影响水分、营养物质分配,进而对生长于土壤上的各种植物产生影响。定量测量露石承接、分配降水及其内含物的研究较少,评价其生态水文效应的研究更少,严重影响喀斯特生态系统演化机制的阐明与石漠化治理方略的制订。 展开更多
关键词 露石 生物植居 生态水文 石漠化
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Root microbiota shift in rice correlates with resident time in the field and developmental stage 被引量:39
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作者 Jingying Zhang Na Zhang +12 位作者 Yong-Xin Liu Xiaoning Zhang Bin Hu Yuan Qin Haoran Xu Hui Wang Xiaoxuan Guo Jingmei Qian Wei Wang Pengfan Zhang Tao Jin Chengcai Chu Yang Bai 《Science China(Life Sciences)》 SCIE CAS CSCD 2018年第6期613-621,共9页
Land plants in natural soil form intimate relationships with the diverse root bacterial microbiota. A growing body of evidence shows that these microbes are important for plant growth and health. Root microbiota compo... Land plants in natural soil form intimate relationships with the diverse root bacterial microbiota. A growing body of evidence shows that these microbes are important for plant growth and health. Root microbiota composition has been widely studied in several model plants and crops; however, little is known about how root microbiota vary throughout the plant's life cycle under field conditions. We performed longitudinal dense sampling in field trials to track the time-series shift of the root microbiota from two representative rice cultivars in two separate locations in China. We found that the rice root microbiota varied dramatically during the vegetative stages and stabilized from the beginning of the reproductive stage, after which the root microbiota underwent relatively minor changes until rice ripening. Notably, both rice genotype and geographical location influenced the patterns of root microbiota shift that occurred during plant growth. The relative abundance of Deltaproteobacteria in roots significantly increased overtime throughout the entire life cycle of rice, while that of Betaproteobacteria, Firmicutes, and Gammaproteobacteria decreased. By a machine learning approach, we identified biomarker taxa and established a model to correlate root microbiota with rice resident time in the field(e.g., Nitrospira accumulated from 5 weeks/tillering in field-grown rice). Our work provides insights into the process of rice root microbiota establishment. 展开更多
关键词 rice root microbiota time-series shift biomarker taxa residence time in the field developmental stages modeling machine learning
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