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生态学杂志 ›› 2012, Vol. 31 ›› Issue (10): 2443-2448.

• 研究报告 • 上一篇    下一篇

物种组成、丰富度、播种密度和土壤养分对群落补偿效应的影响

李昂1**,张鸣1,杜国祯2   

  1. 1兰州城市学院, 兰州 730070; 2兰州大学干旱与草地生态教育部重点实验室, 兰州 730000)
  • 出版日期:2012-10-10 发布日期:2012-10-10

Impacts of species composition, richness, sowing density, and soil nutrients on the complementary effect of plant communities.

LI Ang1**, ZHANG Ming1, DU Guo-zhen2   

  1. (1Lanzhou City University, Lanzhou 730070, China; 2Key Laboratory of Arid and Grassland Ecology, Ministry of Education, Lanzhou University, Lanzhou 730000, China)
  • Online:2012-10-10 Published:2012-10-10

摘要: 为了明确物种组成、丰富度、播种密度和土壤养分对群落补偿效应的影响,以及群落补偿效应随时间的变化趋势,本文以青藏高原高寒草地常见物种垂穗披碱草(Elymus nutans)、中华羊茅(Festuca sinensis)和羊茅(F. ovina)为材料,通过建植不同物种组合的单、混播草地,连续5年对不同群落的生产力进行了测定,结果表明:物种组成显著影响群落的补偿效应;在施肥情况下,物种丰富群落有较高的补偿效应;实验初期,随着播种密度的增加,群落补偿效应有降低趋势,但随着生长年限的增加,密度对补偿效应的影响变得不显著;施肥显著提高了群落的补偿效应;随着生长年限的延长,群落补偿效应有升高趋势。

关键词: 营养盐结构, 主成分分析, 水质, 唐山湾

Abstract: Taking the common perennial grass species Elymus nutans, Festuca sinensis, and Festuca ovina widely distributed over the alpine grassland of QinghaiTibetan Plateau as test materials, and through establishing different mono and mixed cultured species combinations, a fiveyear continuous measurement of the plant community productivity was conducted, aimed to understand the effects of species composition, richness, sowing density, and soil nutrients on the  complementary effect of plant communities, and how the  complementary effect changed with time. The results indicated that species composition had significant effects on the  complementary effect of plant communities. When the soil nutrients were richer, the plant communities with higher species richness had higher  complementary effect. With increasing sowing density, the  complementary effect had a decreasing trend at the initial stage, but did not vary significantly in subsequent years. Fertilization increased the  complementary effect significantly, and this effect tended to be increased with the increasing years of plant growth.

Key words: nutrient structure, principal component analysis, water quality, Tangshan Bay.