Growth and Physiological Characteristics of Wild Sour Jujube Seedlings from Two Provenances under Soil Water Stress

以采自陕西杨陵和安塞的2个1年生酸枣幼苗为材料,采用盆栽称重控水法研究了中度和重度土壤干旱胁迫对它们生长和生理特性的影响。结果表明,不同程度的水分胁迫均使2种源酸枣新生侧枝长度受到极显著抑制,其苗高和基径也受到一定程度抑制,同时分别使叶片相对含水量和水分饱和亏有一定程度的降低和升高;2种源酸枣叶片的叶绿素a含量在各水分胁迫均极显著降低,它们的总叶绿素含量也在重度干旱下显著降低;随土壤干旱胁迫时间的延续,2种源酸枣叶片保护酶SOD、CAT、APX活性上下波动,其脯氨酸和可溶性糖含量逐渐升高,而超氧阴离子含量在较低水平下波动,丙二醛含量逐渐降低。杨陵酸枣在土壤水分较好的条件下表现良好,而安塞酸枣则具有更强的适应旱生能力。研究发现,在不同程度的土壤干旱胁迫下,2个种源酸枣的生长均受到一定程度的抑制,但它们均能调节自身的保护酶系统活性和渗透调节物质含量来减轻干旱伤害,维持植物体的正常生理代谢功能,表现出较强的抗旱耐旱能力

Spatial Evolution of Landscape Pattern of Coastal Wetlands

利用GIS技术、RS影像和Fragstats3.3等景观统计软件;从景观面积变化、景观斑块特征和景观整体水平格局等方面;对比研究了黄河三角洲2000年和2009年湿地不同时空尺度的景观格局变化。结果表明:10 a间黄河三角洲滨海湿地海岸线和陆地面积整体呈增长趋势;天然湿地面积急剧减少;平均分维数大部分降低;湿地景观破碎度降低;多样性和均匀性指数增加;蔓延度指数增加。湿地景观格局指数的变化反映了旱田及水田的大面积种植;盐田养殖业的大力发展以及石油开采等人为活动对景观格局的深刻影响;人类活动已经成为黄河三角洲滨海湿地景观格局变化的主要驱动因子

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