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您的检索式：作者名="Renhui Miao"
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| 1 | Accuracy of space-for-time substitution for vegetation state prediction following shrub restoration显示文摘Aims:Space-for-time substitution(SFT)is often used for vegetation status estimation during the recovery process of deserts.However,the evaluated accuracy of SFT remains uncertain.An eight-year located observation was used to assess the validity of SFT for vegetation state prediction.Methods:This study analyzed a chronosequence of Caragana microphylla Lam.plantings using the located observation method to test the accuracy of SFT for vegetation state prediction in the mobile sand dunes of the Horqin Sandy Land in northeastern China from July 2005 to June 2013.Important Findings:According to SFT,simple vegetation parameters(density,coverage and biomass)were found to be unstable,while sophisticated veg-etation parameters(species diversity and evenness)were relatively stable across the experimental treatments during the study period.Conversely,both the simple and sophisticated parameters were found to be relatively stable when tested using the located obser-vation method.Furthermore,most simple vegetation parameters slightly increased,while sophisticated parameters slightly decreased after eight years of field observations.Thus,long-term restoration management facilitated improvements in the simple parameters,but may have adversely impacted the sophisticated parameters in the post-restoration community.Our results suggest that sophisticated vegetation parameter states can be predicted by SFT,while simple vegetation parameter states are not well predicted by SFT.in conclusion,located observations or other effective evaluation methods must be employed to offset the deficiency of the SFT method for the prediction of vegetation parameters. | Renhui Miao Xueli Qiu Meixia Guo Ala Musa Deming Jiang | 2018 | Journal of Plant Ecology2018，11，2： | 5 |
| 2 | Effects of warming on soil respiration during the non-growing seasons in a semiarid temperate steppe显示文摘尽管许多研究认为增温对陆地生态系统非生长季土壤呼吸的影响非常重要,但是关于这一问题仍缺乏充分的理解。本论文研究了非生长季增温对温带半干旱草原土壤呼吸的影响,并探讨了其影响机制。本实验位于温带半干旱典型草原,包括10对样地,每对样地包括一个对照和模拟增温处理。模拟增温样地自2014年10月开始,采用开顶箱(OTC)进行。2014年10月到2015年4月,2015年10月到2016年4月期间每月测定几次土壤呼吸、土壤温度与土壤湿度;并测定0-20 cm微生物量碳(MBC)、微生物量氮(MBN)和土壤速效氮。采用重复测量方差和成对t检验方法分析增温、时间及其交互作用对土壤呼吸的影响。采用简单回归确定各指标之间的因果关系。结果表明,对照样地非生长季平均土壤呼吸速率为0.24μmol m^(-2) s^(-1),约占当地生长季碳通量的14.4%。模拟增温在两个非生长季使土壤温度和土壤呼吸分别比对照样地提高了1.48℃(P<0.001)和42.1%(P<0.01)。2015-2016年非生长季模拟增温降低了0.66%的土壤湿度,降低幅度不显著。模拟增温处理下2015-2016年非生长季MBC和MBN分别显著提高了19.72%和20.99%(P<0.05)。此外,研究结果还表明,土壤温度、MBC和MBN的变化调控了土壤呼吸对模拟增温的响应。本结果揭示非生长季土壤呼吸变化能影响碳循环的其它组分,并可以有效促进气候变化背景下陆地生态系统碳循环的模型预测。 | Yuan Miao Mengzhou Liu Juan Xuan Wei Xu Shilin Wang Renhui Miao Dong Wang Wei Wu Yinzhan Liu Shijie Han | 2020 | Journal of Plant Ecology2020，13，3： | 2 |
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