The Qinling Mountains is not only the geographical boundary between North and South China,but also the boundary between subtropical and warm temperate zones.It plays an important role in the geo-ecological pattern of ...The Qinling Mountains is not only the geographical boundary between North and South China,but also the boundary between subtropical and warm temperate zones.It plays an important role in the geo-ecological pattern of China.However,there is controversy about the specific location of this geographical boundary in academic community due to the complexity,transition and heterogeneity of the transitional zone,as well as the differences in the delimitation indicators and research purposes.To further reveal the characteristics of the North-South transitional zone and clarify the specific location of the geo-ecological boundary between North and South China,combined with SRTM topographic data,temperature and precipitation data,Pinus massoniana forest and Pinus tabulaeformis forest,which represent subtropical coniferous forest in South China and temperate coniferous forest in North China respectively,were chosen to analyze their spatial distributions in the Qinling-Daba Mountains and the climatic conditions at their boundary with the climatic indexes of annual precipitation,the coldest month(January) average temperature,the warmest month(July) average temperature and the annual average temperature.The results show that:(1) Pinus massoniana and Pinus tabulaeformis forests and the climate indicators of their boundary can be used as one of the vegetation-climate indexes for the delimitation of subtropical and warm temperate zones.The boundary between the subtropical coniferous forest(Pinus massoniana forest) and temperate coniferous forest(Pinus tabulaeformis forest) is located along the south slope of Funiu Mountain to the north edge of Hanzhong Basin(the south slope of Qinling Mountains) at an altitude of 1000–1200 m,where the climatic indictors are stable:the annual precipitation is about 750–1000 mm,the annual average temperature is about 12–14℃,the coldest monthly average temperature is 0–4℃,and the warmest monthly average temperature is about 22–26℃.(2) It can be more scientifically to delimitate the boundary of subtropical and warm temperate zones in China by comprehensively considering the vegetation-climate indicators.Additionally,the boundary between subtropical and warm temperate zones in Qinling-Daba Mountains should be a transitional zone consisting of the boundaries of coniferous forests,broad-leaved forests and shrubs between subtropical and warm temperate zones.The results provide a scientific basis for the selection of delimitation index of subtropical and warm temperate zones.展开更多
文摘目的评价虚拟现实(virtual reality,VR)技术对卒中后失语(post-stroke aphasia,PSA)患者语言功能的康复疗效,比较该方法与常规语言康复训练的疗效差异,为临床更规范有效地应用VR技术提供证据。方法检索PubMed、CINAHL等9个数据库及临床试验注册平台中关于VR语言训练治疗PSA的随机对照试验,检索时限为建库至2022年3月。由2名研究者独立筛选文献,评价文献质量及提取信息。采用RevMan 5.4软件进行Meta分析,并采用推荐分级的评价、制订与评估(grades of recommendations assessment,development and evaluation,GRADE)系统进行证据质量评级。结果共纳入9篇文献,包括311例患者。Meta分析结果显示:VR语言训练能提高PSA患者的自发言语能力[SMD=0.88,95%CI(0.57,1.20),P<0.001],命名能力[SMD=0.60,95%CI(0.30,0.90),P=0.001],听理解能力[SMD=0.81,95%CI(0.40,1.22),P=0.001],复述能力[SMD=0.55,95%CI(0.30,0.80),P<0.001],PSA治疗有效率[RR=1.43,95%CI(1.06,1.95),P=0.020],但在失语严重程度[SMD=0.70,95%CI(0.01,1.39),P=0.050]方面的干预效果尚不明确。结论VR语言训练有助于改善PSA患者的语言功能,对改善自发言语、命名、听理解、复述能力均有效,并能提高PSA治疗有效率,但对失语严重程度的干预效果尚不明确。由于总体样本量较小及结果存在异质性,仍需开展高质量随机对照试验,进一步验证VR语言训练对PSA患者语言功能的疗效。
基金National Natural Science Foundation of China,No.41871350Scientific and Technological Basic Resources Survey Project,No.2017FY100900。
文摘The Qinling Mountains is not only the geographical boundary between North and South China,but also the boundary between subtropical and warm temperate zones.It plays an important role in the geo-ecological pattern of China.However,there is controversy about the specific location of this geographical boundary in academic community due to the complexity,transition and heterogeneity of the transitional zone,as well as the differences in the delimitation indicators and research purposes.To further reveal the characteristics of the North-South transitional zone and clarify the specific location of the geo-ecological boundary between North and South China,combined with SRTM topographic data,temperature and precipitation data,Pinus massoniana forest and Pinus tabulaeformis forest,which represent subtropical coniferous forest in South China and temperate coniferous forest in North China respectively,were chosen to analyze their spatial distributions in the Qinling-Daba Mountains and the climatic conditions at their boundary with the climatic indexes of annual precipitation,the coldest month(January) average temperature,the warmest month(July) average temperature and the annual average temperature.The results show that:(1) Pinus massoniana and Pinus tabulaeformis forests and the climate indicators of their boundary can be used as one of the vegetation-climate indexes for the delimitation of subtropical and warm temperate zones.The boundary between the subtropical coniferous forest(Pinus massoniana forest) and temperate coniferous forest(Pinus tabulaeformis forest) is located along the south slope of Funiu Mountain to the north edge of Hanzhong Basin(the south slope of Qinling Mountains) at an altitude of 1000–1200 m,where the climatic indictors are stable:the annual precipitation is about 750–1000 mm,the annual average temperature is about 12–14℃,the coldest monthly average temperature is 0–4℃,and the warmest monthly average temperature is about 22–26℃.(2) It can be more scientifically to delimitate the boundary of subtropical and warm temperate zones in China by comprehensively considering the vegetation-climate indicators.Additionally,the boundary between subtropical and warm temperate zones in Qinling-Daba Mountains should be a transitional zone consisting of the boundaries of coniferous forests,broad-leaved forests and shrubs between subtropical and warm temperate zones.The results provide a scientific basis for the selection of delimitation index of subtropical and warm temperate zones.
