新疆农业科学 ›› 2023, Vol. 60 ›› Issue (8): 2055-2065.DOI: 10.6048/j.issn.1001-4330.2023.08.028

• 草业·畜牧兽医 • 上一篇    下一篇

新疆北疆荒漠群落组成及种间联结与相关性分析

费诚1,2(), 董乙强1, 安沙舟1()   

  1. 1.新疆农业大学草业学院,乌鲁木齐 830052
    2.贺州学院经济与管理学院,广西贺州 542800
  • 收稿日期:2022-12-20 出版日期:2023-08-20 发布日期:2023-08-14
  • 通信作者: 安沙舟(1956-),男,陕西富平人,教授,博士,博士生导师,研究方向为草地资源与生态,(E-mail)xjas@126.com
  • 作者简介:费诚(1981-),男,湖南株洲人,讲师,博士,研究方向为草地资源与生态经济,(E-mail)605600220@qq.com
  • 基金资助:
    国家重点研发计划项目“科技基础资源调查”专项课题“塔里木-准噶尔盆地荒漠主要植物群落调查”(2017FY100201)

Study on desert community composition, interspecific association and correlation in northern Xinjiang

FEI Cheng1,2(), DONG Yiqiang1, AN Shazhou1()   

  1. 1. College of Grassland Science, Xinjiang Agricultural University, Urumqi 830052,China
    2. College of Economics and Management, Hezhou University, Hezhou 542800, China
  • Received:2022-12-20 Online:2023-08-20 Published:2023-08-14
  • Correspondence author: AN Shazhou(1956-),male,professor,Doctor,Research direction:Grassland resources and ecology,(E-mail)xjas@126.com
  • Supported by:
    Science and Technology Basic Resources Survey "Investigation of Major Plant Communities in the Desert of the Tarim-Junggar Basin(2017FY100201)

摘要:

【目的】研究新疆北疆荒漠物种的种间联结特征及其对群落演替的影响,为北疆生态系统荒漠植被恢复与生态重建提供理论依据。【方法】使用二元数据关联矩阵模型,利用该模型矩阵计算方差模型(VR),计算北疆荒漠物种总体关联性,计算χ2值检验其显著性。结合Ochiai、Dice和Jaccard三种指数计算方法,降低指数计算误差,分析荒漠群落物种间的联系与区别。【结果】新疆北疆荒漠草本层和灌木层总体关联性VR>1,66个草本层和22个灌木层物种间呈现正关联。正负联结总数2 145个种对,其中正联结率21.63%,不显著联结率66.8%,北疆荒漠区草本层中以不显著联结种对为主。灌木层中,正负联结总数231个种对,其中,正联结种对数60个,占总种数的26%,不显著联结种对占总种数的70.13%。在北疆荒漠区灌木层中以不显著联结种对为主。【结论】新疆北疆荒漠群落种间呈较独立分布的不显著正联结,是物种共同生存的机制之一。呈不显著正关联是北疆荒漠植物群落草本层、灌木以及草本和灌木层总体种间关系的表达。北疆荒漠群落中有较稳定和完善的种组成和群落结构。

关键词: 荒漠群落; 种间联结; 群落演替

Abstract:

【Objective】 This study aims to clarify the characteristics of the interspecific association of the desert plants in northern Xinjiang and the role of interspecific association in community succession in the hope of providing theoretical support for vegetation restoration and ecosystem reconstruction in the desert of northern Xinjiang. 【Methods】 An association matrix model of binary data was constructed and used to compute the variance model to obtain the overall association between the desert species in northern Xinjiang, and the significance of their associations with each other was analyzed using χ2 tests. The Ochiai index, Dice index, and Jaccard index were used in the calculation of indices to reduce errors and precisely reflect the interspecific association and species diversity in desert communities. 【Results】 The overall association between the species in the desert of northern Xinjiang, including 66 species in the herb layer and 22 species in the shrub layer, had a VR > 1, indicating that there was a positive association between the species. In the herb layer, a total of 2,145 species pairs had positive or negative associations. The proportion of positive associations was 21.63%. χ2 tests showed that 66.8% of the pairs had non-significant associations, so the herb layer was dominated by non-significant association pairs. In the shrub layer, a total of 231 species pairs had positive or negative associations, of which 60 pairs had positive associations, accounting for 26% of the pairs. χ2 tests indicated that 70.13% of the pairs had non-significant associations, so the shrub layer was also dominated by pairs with non-significant associations.【Conclusion】 The desert species in the community in northern Xinjiang have a relatively independent distribution, as indicated by the non-significant positive associations. This distribution is one of the mechanisms facilitating the co-existence of species. In the northern Xinjiang community, the herb layer, the shrub layer, and the two layers together all showed non-significant positive interspecific associations. In this region, the assembly of species and community structure are relatively stable and ideal.

Key words: plant community in desert; interspecific association; community succession

中图分类号: 


ISSN 1001-4330 CN 65-1097/S
邮发代号:58-18
国外代号:BM3342
主管:新疆农业科学院
主办:新疆农业科学院 新疆农业大学 新疆农学会

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