新疆枸杞属植物资源调查及其保育措施/Resource Investigation and Conservation Measures of Lycium L.in Xinjiang[J]

为评价有着重要经济价值的栽培近缘种植物的资源分布及所受到的生存威胁,对新疆枸杞属植物的经济价值、种植现状、地理分布、濒危状况和保护现状进行了调查.调查发现,该属新疆分布的5个分类群中,除宁夏枸杞、枸杞这2个物种得到了广泛的栽培外,其它的3个种:新疆枸杞(L ycium dasystemum)、黑果枸杞(Lycium ruchenicum)和柱筒枸杞(Lycium cylindricum)均受到生存威胁,其中柱筒枸杞即将成为野外灭绝种,黑果枸杞和新疆枸杞为渐危种.以大面积的垦荒造田和城市化进程速度加快的人为干预和地域性严重生态缺水的环境改变是导致野生枸杞栖息地和生态环境遭受严重破坏,致使野生枸杞属植物分布区日益萎缩,种群和植株数量减少,有些物种面临灭绝危险的主要原因

干旱区林木种质资源的历史见证——新疆林业科学院树木园80年回顾[J]

新疆林业科学院树木园作为"新疆干旱区林木种质资源共享基础平台建设"的核心树木园之一,是新疆造林树种、生态树种、经济林树种、绿化树种资源汇集、珍稀濒危树种迁地保护和生物多样性研究展示的重要场所,肩负着林木物种保护、种植资源汇集、驯化栽培、物种多样性展示、推广应用示范、开放型公共绿地科普教育、生态文明建设等生态、经济和社会科研任务.随着新疆经济社会的跨越式可持续发展,新疆林业科学院树木园在林业科技、生态建设及经济社会发展中的地位和作用将越来越重要

苹果蠹蛾对新疆林果业发展影响的评估及风险管理[J]

于2012年7月对新疆地区林业有害生物苹果蠹蛾进行系统调查研究，以便为新疆林业有害生物苹果蠹蛾的危险性进一步研究提供重要参考依据。在实际调查中发现，苹果蠹蛾是一种危害苹果、梨、杏等多种果实的入侵物种且危害较重，采用风险评估方法研究苹果蠹蛾对新疆林果业发展的影响。结果显示，苹果蠹蛾在新疆符合检疫性有害生物的地理分布管理标准，新疆具有苹果蠹蛾生存与蔓延扩散的环境条件，是新疆林果业的重要有害生物，该害虫具有在新疆境内蔓延扩散并暴发成灾的潜在风险，对新疆林果业发展构成了严重威胁。因此，应控制该虫扩散蔓延传入危害发生，并针对苹果蠹蛾提出监测预防和检疫管理措施，为新疆林果业经济发展提供参考

Prediction of Energy Resolution in the JUNO Experiment

International audienceThis paper presents the energy resolution study in the JUNO experiment, incorporating the latest knowledge acquired during the detector construction phase. The determination of neutrino mass ordering in JUNO requires an exceptional energy resolution better than 3% at 1 MeV. To achieve this ambitious goal, significant efforts have been undertaken in the design and production of the key components of the JUNO detector. Various factors affecting the detection of inverse beta decay signals have an impact on the energy resolution, extending beyond the statistical fluctuations of the detected number of photons, such as the properties of liquid scintillator, performance of photomultiplier tubes, and the energy reconstruction algorithm. To account for these effects, a full JUNO simulation and reconstruction approach is employed. This enables the modeling of all relevant effects and the evaluation of associated inputs to accurately estimate the energy resolution. The study reveals an energy resolution of 2.95% at 1 MeV. Furthermore, the study assesses the contribution of major effects to the overall energy resolution budget. This analysis serves as a reference for interpreting future measurements of energy resolution during JUNO data taking. Moreover, it provides a guideline in comprehending the energy resolution characteristics of liquid scintillator-based detectors

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