云南大理剑川石宝山旅游区猕猴可持续管理研究

生物多样性保护与人类可续发展密切相关。野生动物生态旅游业能较好地兼顾保护与发展，但也面临着种群管理、人兽冲突等难题。为制定可持续的旅游区野生动物种群管理方案，实现人与野生动物和谐共存，对云南大理剑川石宝山旅游区猕猴（Macaca mulatta）进行种群监测，收集猴群入村肇事信息，并分析旅游区猕猴的容纳量和维持量。结果表明：石宝山现有9群480只猕猴，种群呈指数型增长，f（x） = 569.2 × exp［（x - 2 010）/31.6］ - 348.3 （R2 = 0.998），猴群主要分布区密度为96只/km2。结合猕猴群在2019年入村肇事数量开始明显增长的事实，确定旅游区最大容纳量（K）为408只，表明现阶段石宝山猕猴种群已超出最大容纳量，且依赖游客和旅游区投食生存。受新冠疫情的影响，投食量大幅减少，导致猴群进入村庄肇事，产生人猴冲突。为保证猴群健康发展，同时避免因种群增长速率过快而加剧人猴冲突，建议将石宝山猴群控制在204只（K/2）以下。依据石宝山旅游区自身发展，参考国家相关战略和行动计划的实施周期（3年或5年），制定调控计划，若调控周期为5年则将种群控制在140只，若为3年则控制在170只。建议：（1）制定可持续的种群调控和应急预案；（2）设立专门的游客投食区并规范游客投食行为；（3）建设旅游区专业管猴队，规范化监测旅游区内猴群和游客行为，尝试将相关旅游区建设成为实验猴供给源

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