摘要
调查研究兰州4处滨河公园自生植物的物种组成和多样性特征,为低成本、低养护和野趣自然的园林景观规划提供参考.在黄河兰州主城区段自西向东选取银滩湿地公园、马滩湿地公园、马拉松主题公园、雁滩公园,通过网格系统取样法共设置344个样方,调查研究滨河公园自生植物物种组成和分布特征.结果表明,4处滨河公园共有44科118属163种;在物种来源中,乡土物种79种(48.46％)、国内外来物种53种(32.51％)、国外外来物种14种(8.58％)、入侵植物有17种(10.42％);4处滨河公园间a多样性存在显著差异(P＜0.05);银滩湿地公园、马滩湿地公园、马拉松主题公园、雁滩公园的多样性指数H'分别为 4.76、4.36、4.064、3.99;均匀度指数J'分别为 0.53、0.586、0.56、0.54;丰富度指数R'分别为 30.68、29.47、22.80、20.27;平均多度分别为55.43、44.82、50.16、39.40.兰州滨河公园自生植物资源较为丰富,在未来的城市园林绿地建设中可合理规划,提高自生植物的应用比例,并根据不同环境营造具有地域特色的自生植物景观.
Abstract
To investigate and study the species composition and diversity characteristics of autophytes in four river-side parks in Lanzhou,so as to provide a reference for low-cost,low-maintenance and wild natural landscape planning,a total of 344 quadrats were selected from west to east in the main urban section of Lanzhou of the Yellow River to investi-gate the species composition and distribution characteristics of authigenic plants in the riverside parks.The results showed that:there were 163 species in 118 genera and 44 families,79 native species(48.46％),67 alien species(41.10％)and 17 invasive species(10.42％)in the four riverside parks;there were significant differences in α diversity among the four riverside parks(P＜0.05);the Shannon-Wiener diversity indices of Yintan Wetland Park,Matan Wet-land Park,Marathon Theme Park and Yantan Park were 4.76,4.36,4.064 and 3.99,respectively;the Pielou even-ness indices were 0.53,0.586,0.56 and 0.54,the Patrick richness indices were 30.68,29.47,22.80 and 20.27,and the average abundances were 55.43,44.82,50.16 and 39.40,respectively.Lanzhou riverside parks are rich in auto-phytes,and the future construction of urban gardens and green spaces can be reasonably planned,the proportion of auto-phytes can be increased,and the landscape of autophytes with regional characteristics can be created according to differ-ent environments.
基金项目
甘肃农业大学科技创新基金——科学建设专项基金(GAU-XKJS-2018-114)
甘肃省高等学校能力提升项目(2019B-072)
甘肃省林业和草原局林草科技创新与合作项目(KJCX2021004)
国家自然科学基金项目(31360569)
2024年高校教师创新基金项目(2024B-081)
国家科技期刊平台
NSTL
万方数据