Change in species composition of macrobenthic fauna before and after administration of artificial reefs in Yangmeikeng in Shenzhen

根据深圳杨梅坑人工鱼礁区投礁前(2007年4月)和投礁后(2008年5月)2个航次调查所获底泥中大型底栖动物的资料,探讨了人工鱼礁对大型底栖动物种类组成的影响。结果表明:投礁一年后,人工鱼礁对大型底栖动物的养护作用已初步显现,海域内大型底栖动物种类数由投礁前的20种提高到34种,环节动物的比例有所增加;投礁后海域内大型底栖动物群落的种类组成也发生了较大变化,投礁前后的种类相似性仅为23.3%,优势种发生了较为明显的变化,由投礁前的方格皱纹蛤PErIglyPTA lACErATE变为投礁后的方格皱纹蛤PErIglyPTA lACErATE、弦毛内卷齿蚕AglAOPHAMuS lyrOCHAETO和单鳃虫nOTHrIA HOlObrAnCHIATA。The change in species composition of macrobenthic fauna was described by the survey data from April of 2007(before establishment of artificial reefs) to May of 2008(after establishment of artificial reefs) to evaluate the influence of artificial habitat in Yangmeikeng in Shenzhen,Guangdong province,China.The protective effect on macrobenthic fauna was observed one year after the reefs had been put,the number of macrobenthos species increasing from 20 species to 34 species.The proportion of Molluscs was found to increase in all groups.The species composition of the macrobenthic fauna changed significantly after the reefs were put,with the similarity of only 23.3% before and after reefs administration,and dominant species changed from Periglypta lacerate before reefs establishment to Periglypta lacerate,Aglaophamus lyrochaeto and Nothria holobranchiata after then.国家“863”计划项目(2006AA100303);中央级公益性科研院所基本科研业务费专项资金项目(2007ZD03;2007TS10;2007ZD08和2007TS22

中国高等植物受威胁物种名录

2008年,环境保护部和中国科学院联合启动了《中国生物多样性红色名录——高等植物卷》的编制工作。通过这项工作,我们依据IUCN濒危物种红色名录标准对中国野生高等植物的濒危状况进行了全面评估,编制了中国高等植物红色名录。2013年9月,该名录以环境保护部、中国科学院第54号公告形式发布,即《中国生物多样性红色名录—

Expertadvice on the diagnosis and intervention of Chinese developmental dyslexia

发展性阅读障碍是一种以儿童阅读能力显著落后于年龄和智力应有水平为主的障碍，属于具有遗传基础的神经发育性障碍。目前国内对发展性阅读障碍的评估、诊断与干预多出现在科研场合，临床诊疗和教育性质的应用明显不足。专家意见采用专家书面反馈意见和视频会议讨论的形式，以发展性阅读障碍的病因学基础为指导，对发展性阅读障碍的临床表现、诊断流程及干预原则等形成统一意见，旨在为相关专业领域医师和康复专业人员提供参考和帮助，亦为开展对发展性阅读障碍的教育性干预活动提供参考。</p

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