摘要
种子雨是植被恢复的重要物质基础。本文研究了河南县和门源县3个试验点高寒草甸种子雨的特征,结果显示:3个试验点的物种组成、种子数量与优势科依次分别为18种,1 083.9粒·m^-2,豆科;17种,933.2粒·m^-2,禾本科;24种,954.1粒·m^-2,菊科;种子雨占优势的植物均为垂穗披碱草(Elymus nutans);种子雨的散布与物种丰富度的时间动态均呈单峰模式,最高值在9月;具有层次分化的垂穗披碱草草地上层种子雨散布具有显著优势。3个试验点的种子雨受植被类型与地域的影响,种子雨的物种多样性存在差异。种子雨中出现了地上植被中不存在的外来种可能是长距离扩散而来的。
Seed rain is an important physical base for vegetation restoration.This study examined the characteristics of seed rain at three experimental sites in alpine meadow located in Henan County and the Menyuan County.The results showed that the species richness,seed number and dominant families of three studied sites were 18 species,1083.9 No.·m^-2,legumes;17 species,933.2 No·m^-2,Gramineae;24 species,954.1 No.·m^-2,Compositae,respectively,and the dominant species in seed rain was Elymus nutans in all three sites.The temporal distribution of seed rain and its species richness showed an unimodal mode,and the peak was in September.In the E.nutans dominated grassland with significant hierarchical differentiation,the upper layer had significant advantages in the distribution of seed rain.The differences in species diversity of seed rain might be due to the influences of vegetation types and regional topography among the three studied sites.The species that existed in the seed rain but did not in the above-ground vegetation might spread over long distances.
作者
才文代吉
谈静
张隆秀
张静
李德凯
李海燕
谢永萍
旦周文毛
才仁卓尕
孙海群
CAI Wen-dai-ji;TAN Jing;ZHANG Long-xiu;ZHANG Jing;LI De-kai;LI Hai-yan;XIE Yong-ping;DAN Zhou-wen-mao;CAI Ren-zhuo-ga;SUN Hai-qun(College of Agriculture and Animal Husbandry,Qinghai University,Xining,Qinghai Province 810016,China;Huzhu County Landscaping Service Center,Haidong,Qinghai Province 810500,China;Yangtze Source River(Coco Xili)Park National Park Management Office,Zhiduo,Qinghai Province 815400,China)
出处
《草地学报》
CAS
CSCD
北大核心
2019年第4期1090-1095,共6页
Acta Agrestia Sinica
基金
国家自然科学基金项目(31560668)
青海省科技计划项目(2017-ZJ-728)资助
关键词
高寒草甸
种子雨特征
物种组成
时空特征
相似性
Alpine Meadow
Seed rain characteristics
Species composition
Spatiotemporal Characteristics
Similarity
