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contrasting plant growth performance of invasive polyploid and native diploid Prosopis is mediated by the soil bacterial community

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Ecological Processes 2023年第1期12卷 195-205页

作者： rishabh Kaushik Meesha Sharma ch.V.Ramana ch.Sasikala Maharaj K.Pandit Jealott's Hill International Research centre Warfield Department of Environmental Studies University of Delhi Department of Plant Sciences School of Life Sciences University of Hyderabad P.O.Central University Bacterial Discovery Laboratory Centre for Environment Institute of Science and Technology J.N.T.University Hyderabad Jindal School of Environment & Sustainability OP Jindal Global University

Background Soil microbial communities affect above-ground plant diversity and community composition by influencing plant growth performance. Several studies have tested the effect of soil bacterial microbiome on growth performance of native and invasive plants, but the influence of specific bacterial isolates has not been ***, we investigated the effects of soil bacterial exclusion by soil sterilization and by inoculation of Streptomyces rhizobacterial isolates on the growth performance of native and invasive Prosopis *** Plant growth performance of invasive P. juliflora was significantly reduced when grown in sterilized soils,whereas native P. cineraria showed enhanced growth performance in the sterilized soils. When grown in the soil inoculated with the specific Streptomyces isolate from P. juliflora(PJ1), the growth performance of invasive P. juliflora was significantly enhanced while that of native P. cineraria seedlings was significantly reduced. However, inoculation of P. cineraria and P. juliflora seedlings with Streptomyces isolate from the rhizosphere of native P. cineraria(Pc1) had no significant effect on the growth performances either of P. juliflora or P. *** Our study reveals that invasive P. juliflora experiences positive feedback from the non-native soil bacterial community, while the native P. cineraria experiences negative feedback from its soil bacterial community. Our results provide fresh experimental evidence for the enemy release hypothesis, and further our understanding of the contrasting growth-promoting effects of differentially recruited microbial species belonging to the same genus(Streptomyces)in the rhizospheres of alien invasive and native plants.

关键词： Soil bacteria Streptomyces Invasive Prosopis juliflora Prosopis cineraria Soil microbiota

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A comparative Study of Artificial neural network and Response Surface Methodology for Optimization of Friction Welding of Incoloy 800 H

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Acta Metallurgica Sinica(English Letters) 2015年第7期28卷 892-902页

作者： K.Anand rishabh Shrivastava K.Tamilmannan P.Sathiya School of Engineering and Technology Indira Gandhi National Open University Department of Production Engineering National Institute of Technology

This article deals with the optimization of process parameters for friction welding of Incoloy 800 H rod and compares the results obtained by response surface methodology（RSM） and artificial neural network（Ann）.The experiments were carried out on the basis of a five-level,four-variable central composite *** output parameters were the tensile strength and burn-off length（BOL）.They were considered as a function of four independent input variables,namely heating pressure（HP）,heating time,upsetting pressure（UP）,and upsetting *** RSM results showed that the quadratic polynomial model depicted the interconnection between individual element and *** optimizing the process parameters,Ann analysis was used,and the optimal configuration of the Ann model was found to be 4–9–*** modeling aspect,a requisite trained multilayer perceptron neural network was rooted,and a quick propagation training algorithm was used to train *** purpose of optimization was to decide the maximum tensile strength and minimum burn-off length of the welded joint which was done by vary.ng the friction welding process *** order of importance of input parameters for friction welding of Incoloy 800 H was HP〉 UP〉 n〉*** predicting the model using RSM and Ann,a comparison was made for predicting the effectiveness of two *** analyzing the results,it was observed that as compared to RSM,Ann model was more specific.

关键词： Artificial neural network Burn-off length Response surface methodology Tensile strength

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用干涉合成孔径雷达数据和贝叶斯估计提高地震定位来识别活动断层：2004年沙特阿拉伯特布克地震序列

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世界地震译丛 2017年第3期48卷 204-217页

作者： Wenbin Xu rishabh Dutta Sigurjón Jónsson 林吉焱（译）吴何珍（校）不详中国地震局地球物理勘探中心中国地震局地球物理研究所

2004年在红海裂谷东侧的沙特阿拉伯西北部特布克城附近,发生了一系列震级≤5.1的浅源地震。由于该地区台站分布稀疏,这些地震不能被很好地定位,这也给确定这些地震与该地区绘制的断层之间的关联带来困难,从而无法提高地震灾害的评估。... 详细信息

2004年在红海裂谷东侧的沙特阿拉伯西北部特布克城附近,发生了一系列震级≤5.1的浅源地震。由于该地区台站分布稀疏,这些地震不能被很好地定位,这也给确定这些地震与该地区绘制的断层之间的关联带来困难,从而无法提高地震灾害的评估。我们使用来自欧洲空间局(ESA)的环境卫星(Envisat)和资源遥感卫星2(ERS-2)的干涉合成孔径雷达(InSAR)数据来提高发生在2004年6月22日最大震级为MW5.1的地震序列的定位和震源参数。主震在干涉合成孔径雷达数据上显示为一个很小但是较明显的约2.7cm的位移信号,这显示了地震发生的位置,同时也显示地震目录上对地震的定位误差约为3~16km。基于贝叶斯估计,我们采用均匀半空间弹性介质中的有限断层模型来模拟干涉合成孔径雷达数据,发现主震发生在距特布克城东南约70km处,显示为一条正断层。南西倾向的断层,走向大致与红海裂谷平行,我们估计该地震的质心深度约为3.2km。断层模型不确定性在地表的投影显示主震可能发生在该区的一条西倾的正断层上,且该断层与红海平行。结果表明可以用干涉合成孔径雷达数据来提高中等强度地震的定位和识别现在的活动断层。

关键词：干涉合成孔径雷达贝叶斯估计地震序列活动断层沙特阿拉伯地震定位雷达数据识别

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