Two new species of Dicerapanorpa Zhong & Hua, 2013 are described from Sichuan, China.Dicerapanorpa yijunae sp. nov. is characterized by basal branches of paramere incurved basally and parallel distally, mesal and ...Two new species of Dicerapanorpa Zhong & Hua, 2013 are described from Sichuan, China.Dicerapanorpa yijunae sp. nov. is characterized by basal branches of paramere incurved basally and parallel distally, mesal and lateral branches greatly incurved distally, reaching the base of gonostylus in male, and main plate broadened mesally, nearly as long as posterior arm in female. Dicerapanorpa luojishana sp. nov. is distinguished by basal and mesal branches of paramere nearly reaching median tooth of gonostylus, lateral branch reaching basal tooth, and aedeagus exceeding apex of gonocoxite in male, and main plate of medigynium pear-shaped, twice as long as the posterior arm in female. The new discovery enriches the diversity of Dicerapanorpa and increases the species number to fifteen.展开更多
A new method,multivariate similarity clustering analysis(MSCA)method,was established for biogeographical distribution analyzing.General similarity formula(GSF),the core of MSCA method,can be used to calculate the simi...A new method,multivariate similarity clustering analysis(MSCA)method,was established for biogeographical distribution analyzing.General similarity formula(GSF),the core of MSCA method,can be used to calculate the similarity coefficients between 2 and among any≥3 geographical units.Taking the global insects as example,we introduced the steps to use of GSF and consequent clustering processes of this method in details.Firstly,geographical distributions of certain taxa(e.g.Insecta)were categorized into basic geographical units(BGUs);Secondly,similarity coefficients between 2 and among n BGUs were calculated using GSF.Thirdly,hierarchical clustering was conducted according to values of similarity coefficients(from high to low);then a clustering diagram was generated.Finally,a framework of biogeographical division map was established for the target taxa(e.g.Insecta).We concluded that the MSCA method was efficiently applied in analyzing the biogeographical distribution of given biological taxa;the geographical regions regarding global insects were categorized into 7 Realms with 20 sub-Realms based on the results of MSCA method.展开更多
基金supported by the National Natural Science Foundation of China(31672341)
文摘Two new species of Dicerapanorpa Zhong & Hua, 2013 are described from Sichuan, China.Dicerapanorpa yijunae sp. nov. is characterized by basal branches of paramere incurved basally and parallel distally, mesal and lateral branches greatly incurved distally, reaching the base of gonostylus in male, and main plate broadened mesally, nearly as long as posterior arm in female. Dicerapanorpa luojishana sp. nov. is distinguished by basal and mesal branches of paramere nearly reaching median tooth of gonostylus, lateral branch reaching basal tooth, and aedeagus exceeding apex of gonocoxite in male, and main plate of medigynium pear-shaped, twice as long as the posterior arm in female. The new discovery enriches the diversity of Dicerapanorpa and increases the species number to fifteen.
基金This study was financially supported by the Zhengzhou Science and Technology Leading Talent Project(131PLJRC654)。
文摘A new method,multivariate similarity clustering analysis(MSCA)method,was established for biogeographical distribution analyzing.General similarity formula(GSF),the core of MSCA method,can be used to calculate the similarity coefficients between 2 and among any≥3 geographical units.Taking the global insects as example,we introduced the steps to use of GSF and consequent clustering processes of this method in details.Firstly,geographical distributions of certain taxa(e.g.Insecta)were categorized into basic geographical units(BGUs);Secondly,similarity coefficients between 2 and among n BGUs were calculated using GSF.Thirdly,hierarchical clustering was conducted according to values of similarity coefficients(from high to low);then a clustering diagram was generated.Finally,a framework of biogeographical division map was established for the target taxa(e.g.Insecta).We concluded that the MSCA method was efficiently applied in analyzing the biogeographical distribution of given biological taxa;the geographical regions regarding global insects were categorized into 7 Realms with 20 sub-Realms based on the results of MSCA method.
