摘要
野外调查及馆藏标本的整理和鉴定表明,昆明西山喀斯特地区共有野生种子植物114科451属799种,是云南植物多样性最丰富的区域之一.种子植物区系总体上为亚热带性质,其热带科占63.64%,热带属占41.62%,热带种占39.64%;温带科占36.36%,温带属占52.93%,温带种占20.84%;该区系属于中国-喜马拉雅森林植物区的云南高原地区,为古热带植物区系与泛北极植物区系和东亚区系的交汇.昆明西山喀斯特地区种子植物区系共有8个中国特有属,是滇中特有属分布中心的重要组成部分.该种子植物区系与雕翎山种子植物区系的相似系数最高,其亲缘关系较与狮山植物区系的亲缘关系更近.
Based on field survey, classification and identification of herbarium collections, 799 species of wild seed plants, which belongs to 451 genera and 114 families, were identified in the karst regions of Xishan Mountain, Kunming City, one of regions with the richest biodiversity in Yunan Province. The flora is featured by subtropical characteristics, with 63.64% of the families coming from tropical regions and the rest from temperate regions. At generic level, tropical elements make up 41.62% of the total flora and temperate elements constitute 52.93%. At species level, tropical elements account for 39.64% of the total while temperate elements make up 20.84%. The flora belongs to the Yunnan Plateau Region of Sino-Himalayan Subkingdom, the confluence of old tropical forest flora and holarctic forest flora. Eight Chinese endemic genera are found in the seed plant flora of Xishan Mountain, which plays an important part in the distribution center of the endemic genera in central Yunnan. This seed plant flora has the highest similarity coefficients with the seed plant flora of Diaoling Mountain, and its genetic relationship is closer than that of Shishan Mountain.
作者
段华超
李双智
茶晓飞
唐永
郑鑫华
董琼
DUAN Huachao;LI Shuangzhi;CHA Xiaofei;TANG Yong;ZHENG Xinhua;DONG Qiong(Key Laboratory for Resources Conservation and Utilization in the Southwest Mountainous Areas of China,Ministry of Education,Southwest Forestry University,Kunming,Yunnan 650224,China;Forestry Bureau of Luoping County,Luoping,Yunnan 655800,China)
出处
《福建农林大学学报（自然科学版）》
CSCD
北大核心
2020年第3期380-385,共6页
Journal of Fujian Agriculture and Forestry University:Natural Science Edition
基金
国家自然科学基金项目(31260191).
关键词
昆明
喀斯特
种子植物区系
特有属
相似系数
Kunming City
karst region
seed plant flora
endemic genera
similarity coefficients
