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

干旱区3种林地生态系统土壤CO2的排放特征/Characteristics of soil CO2 emission of 3 kinds of woodland ecosystems in arid areas[J]

以新疆三工河流域的梭梭、柽柳及云杉3种林地为监测对象,对不同林地生态系统土壤CO2排放特征进行对比研究,结果表明:1)梭梭林土壤呼吸速率的日变化曲线8月份为双峰曲线,而6月和10月份为单峰曲线.梭梭林地土壤CO2日释放量表现为8月(4.34 g/(m2·d)) ＞6月(1.86 g/(m2·d)) ＞10月(1.17 g/(m2·d)).6月、10月土壤呼吸速率均白天高于夜间,而8月则正好相反.2)8月份几种林地类型的土壤CO2日释放量表现为云杉林(21.71g/(m2·d))＞梭梭林(4.34 g/(m2·d))＞柽柳林(1.84 g/(m2·d)).8月份云杉、柽柳土壤呼吸日变化曲线与梭梭林地的双峰曲线不同,均为单峰曲线.云杉林、柽柳林的土壤呼吸速率均白天高于夜间,而梭梭林则正好相反.3)云杉林地土壤CO2释放速率与土壤温度呈显著正相关,而梭梭林地生态系统土壤CO2释放速率与空气相对湿度成显著正相关

Measurement of integrated luminosity of data collected at 3.773 GeV by BESIII from 2021 to 2024

We present a measurement of the integrated luminosity e+e- of collision data collected by the BESIII detector at the BEPCII collider at a center-of-mass energy of Ecm = 3.773 GeV. The integrated luminosities of the datasets taken from December 2021 to June 2022, from November 2022 to June 2023, and from October 2023 to February 2024 were determined to be 4.995±0.019 fb-1, 8.157±0.031 fb-1, and 4.191±0.016 fb-1, respectively, by analyzing large angle Bhabha scattering events. The uncertainties are dominated by systematic effects, and the statistical uncertainties are negligible. Our results provide essential input for future analyses and precision measurements

Determination of the number of ψ(3686) events taken at BESIII

The number of ψ(3686) events collected by the BESIII detector during the 2021 run period is determined to be (2259.3±11.1)×106 by counting inclusive ψ(3686) hadronic events. The uncertainty is systematic and the statistical uncertainty is negligible. Meanwhile, the numbers of ψ(3686) events collected during the 2009 and 2012 run periods are updated to be (107.7±0.6)×106 and (345.4±2.6)×106, respectively. Both numbers are consistent with the previous measurements within one standard deviation. The total number of ψ(3686) events in the three data samples is (2712.4±14.3)×10^