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作 者:黄磊[1] 张秀华[1] 黄茜 HUANG Lei;ZHANG Xiu-hua;HUANG Xi(Minxi Vocational&Tecnical College,Longyan,Fujian 364021)
出 处:《陕西林业科技》2024年第5期61-65,70,共6页Shaanxi Forest Science and Technology
基 金:2021年度福建省中青年教师教育科研项目(JAT210913);闽西职业技术学院校级课题(KJMY2304);闽西职业技术学院园林植物应用科研创新团队项目(2022kycxtd03)资助。
摘 要:为深入了解汀江国家湿地公园草本植物区系的物种组成和地理分布特征,采取线路调查和重点调查的方法,对长汀汀江国家湿地公园草本植物的种类组成和植物区系进行分析。结果表明:汀江国家湿地公园草本植物有301种,隶属于79科212属,其中蕨类植物15科24属32种,单子叶植物15科64属96种,双子叶植物49科124属173种。禾本科(31属/44种)、菊科(22属/33种)和莎草科(11属/22种)是湿地公园优势种。科的分布以世界分布(44科)和泛热带分布(24科)占绝对优势,占总科数的86.07%,热带科是温带科(R/T)的3.37倍;属的分布以泛热带分布(74属)和世界分布(48属)为主,占总科数的57.54%,热带属(118属)是温带属(46属)(R/T)2.57倍,热带分布占显著优势,呈现由热带向温带过渡的特质。To gain a better understanding of the species composition and geographical distribution characteristics of the herbaceous flora in the Tingjiang National Wetland Park,both line transect and targeted survey methods,an analysis was conducted on the species composition and flora of herbaceous plants in the Changting Tingjiang National Wetland Park.The results indicated that the park hosts 301 species of herbaceous plants,belonging to 212 genera within 79 families.Among these,there are 32 species of ferns belonging to 24 genera in 16 families,96 species of monocotyledons belonging to 64 genera in 16 families,and 173 species of dicotyledons belonging to 124 genera in 49 families.Gramineae(44 species in 31 genera),Compositae(33 species in 22 genera),and Cyperaceae(22 species in 11 genera)are the dominant families in the wetland park.In terms of family distribution,cosmopolitan(44 families)and pantropical(24 families)distributions dominate,accounting for 86.07%of the total families,with tropical families being 3.38 times more than temperate families(R/T).Regarding genus distribution,pantropical(74 genera)and cosmopolitan(48 genera)distributions are predominant,accounting for 57.54%of the total genera,with tropical genera(118 genera)being 2.57 times more than temperate genera(46 genera)(R/T),indicating a significant tropical dominance and a transitional characteristic from tropical to temperate regions.
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