提高干旱荒漠区人工恢复沙拐枣干旱抗逆性的方法

本发明涉及一种提高干旱荒漠区人工恢复沙拐枣干旱抗逆性的方法，该方法通过苗木选择、前期整地和前期苗木处理、灌溉处理等步骤完成，利用沙拐枣部分根系通过对干旱的感应而形成的反馈调节机制，提高其对干旱的适应能力，从而达到促进干旱荒漠区人工恢复沙拐枣整体干旱抗逆性提升的目的，避免人为辅助措施撤消后的逆向演替。实现在降水量小于100mm及气候干旱的自然条件下人工恢复沙拐枣幼苗在人为辅助措施撤消后依靠其对干旱的抗逆性继续生存并发育成长

塔里木河下游土壤水分与植被时空变化特征

运用变异系数、Pearson相关和回归的方法,分析了塔里木河下游2002-2006年土壤水分的时空变化和植被的分布,以及二者之间的相互关系。结果表明:土壤含水率水平空间分布随离水源地距离增加而降低,垂直分布随土层深度的增加而增加;0-60cm土壤含水率变异性最小,属中等变异性;60cm以下土壤含水量变异性增大,属强变异性;土壤含水率的时间变化受生态输水量和持续时间的制约。土壤含水率与植被的时空分布具有同步性;植被特征指数与80-280cm土壤含水率显著相关,且二者与地下水埋深均呈现极显著负相关,说明60cm以下的土壤含水率显著影响植被的生长和分布,而且地下水位是影响土壤水分和植被时空变异的主要因素

一种干旱荒漠区人工恢复柽柳自维持能力的方法

本发明涉及一种干旱荒漠区人工恢复柽柳自维持能力的方法，该方法通过苗木选择、前期整地和后期处理等步骤完成，利用柽柳根系发育的向水性能及其部分植被根系通过对干旱的感应而形成的反馈调节机制，增加人工恢复柽柳对水分的获取能力，同时提高其对干旱的适应能力，从而达到促进干旱荒漠区人工恢复柽柳整体自维持能力提升的目的，避免人为辅助措施撤消后的逆向演替。实现在降水量小于100mm及地下水埋深3-4m的自然条件下人工恢复柽柳幼苗在人为辅助措施撤消后依靠其自维持能力保证继续生存并发育成长

新疆柴窝堡湖浮游植物群落结构及其多样性

于2007年3月至2007年10月,对新疆柴窝堡湖的浮游植物进行实地考察,以定性、定量的分析方法,对4个采样点100个样品中的浮游植物分析、鉴定,并对不同采样点的浮游植物种类组成、数量进行比较,综合运用多样性指数(Margalef多样性指数,Shannon-Weaver多样性指数,Pielou均匀度指数)分析了该水域浮游植物群落特征。结果表明:柴窝堡湖具有藻类植物92种,隶属8门31科60属,其中硅藻(Bacillariophy-ta)的种类最多,绿藻(Chlorophyta)在数量上占明显优势,蓝藻(Cyanophyta)次之;具有5个优势种,即肘状针杆藻(Synedra ulnaEhr.)、近缘针杆藻(Synedra affinisEhr.)、四尾栅藻(Scenedesmus quadricaudaBreb.)、粗刺藻(Acanthosphaera zachariasiLemm.)、水绵(SpirogyraLink.),群落结构属于硅藻-绿藻-蓝藻型,夏秋季节进水区和岸边区浮游植物生长优势较为明显;结合多样性指数进行评价,该水域水质趋于富营养化水平

JUNO Sensitivity on Proton Decay p→νˉK+p\to \bar\nu K^+ Searches

The Jiangmen Underground Neutrino Observatory (JUNO) is a large liquid scintillator detector designed to explore many topics in fundamental physics. In this paper, the potential on searching for proton decay in $p\to \bar\nu K^+$ mode with JUNO is investigated.The kaon and its decay particles feature a clear three-fold coincidence signature that results in a high efficiency for identification. Moreover, the excellent energy resolution of JUNO permits to suppress the sizable background caused by other delayed signals. Based on these advantages, the detection efficiency for the proton decay via $p\to \bar\nu K^+$ is 36.9% with a background level of 0.2 events after 10 years of data taking. The estimated sensitivity based on 200 kton-years exposure is $9.6 \times 10^{33}$ years, competitive with the current best limits on the proton lifetime in this channel

JUNO sensitivity on proton decay p → ν K + searches*

The Jiangmen Underground Neutrino Observatory (JUNO) is a large liquid scintillator detector designed to explore many topics in fundamental physics. In this study, the potential of searching for proton decay in the $p\to \bar{\nu} K^+$ mode with JUNO is investigated. The kaon and its decay particles feature a clear three-fold coincidence signature that results in a high efficiency for identification. Moreover, the excellent energy resolution of JUNO permits suppression of the sizable background caused by other delayed signals. Based on these advantages, the detection efficiency for the proton decay via $p\to \bar{\nu} K^+$ is 36.9% ± 4.9% with a background level of $0.2\pm 0.05({\rm syst})\pm$$0.2({\rm stat})$ events after 10 years of data collection. The estimated sensitivity based on 200 kton-years of exposure is $9.6 \times 10^{33}$ years, which is competitive with the current best limits on the proton lifetime in this channel and complements the use of different detection technologies