大理大学学报 ›› 2021, Vol. 6 ›› Issue (6): 5-14.

• 数学与计算机科学 • 上一篇    下一篇

洱海湿地昆虫群落网络结构与自适应性研究

  

  1. 1.大理大学工程学院,云南大理671003;2.大理大学数学与计算机学院,云南大理671003
  • 收稿日期:2021-01-17 出版日期:2021-06-15 发布日期:2021-06-29
  • 通讯作者: 罗桂兰,副教授,博士,E-mail:yongxin_fly@163.com。
  • 作者简介:郝鸿俊,硕士研究生,主要从事智能生态与信息处理研究。
  • 基金资助:
    国家自然科学基金项目(61661001);云南省地方本科高校(部分)基础研究联合专项资金项目(2018FH001-057);
    云南省教育厅科学研究基金项目(2021Y396)

Study on Insect Community Network Structure and Self-Adaptation in Erhai Lake Wetland

  1. 1. College of Engineering, Dali University, Dali, Yunnan 671003, China; 2. College of Mathematics and Computer, Dali University,
    Dali, Yunnan 671003, China
  • Received:2021-01-17 Online:2021-06-15 Published:2021-06-29

摘要: 为了解洱海湿地昆虫群落对其生境的自适应性,对昆虫群落结构特征指数进行研究。借助复杂网络建立和优化了昆虫生态网络模型。分析了不同区域湿地昆虫群落的组成成分,发现人类活动对区域生态环境的改变直接影响昆虫优势类群的变化。探讨了昆虫群落结构时序演化规律,结果发现:洱海3个湿地昆虫群落结构具有相似性,原生湿地具有较强的稳定性,改造湿地具有一定的自我调节能力,且季节变化是影响昆虫群落多样性的关键因素。最后,通过昆虫群落结构特征参数的相关性分析,研究表明:物种丰富度和多样性指数是维持昆虫群落结构稳定性的重要指标。洱海湿地昆虫群落具有较强的自适应能力,表明了当前洱海湿地生态环境处于良性发展。

关键词: 湿地昆虫群落, 网络拓扑结构, 特征指数, 多样性, 相关性, 时序演化

Abstract: In order to research the self-adaptation of insect communities to their habitats in the Erhai Lake wetland, the character
index of the insect community structure was studied. With the help of complex networks, the insect ecological network model was
established and optimized, and the composition of insect communities in wetlands in different regions was analyzed. It was found that
changes in the regional ecological environment by human activities directly affect the changes of dominant insect groups. Besides, the
temporal evolution of insect community structure was analyzed. Results show that the structures of three insect communities in Erhai
Lake wetland are similar to each other, and a strong stability exists in the original wetland. Modified wetlands have certain selfregulation ability, and seasonal habitat changes are crucial factors influencing the variety of insect communities. Finally, the correlation analysis of the characteristic parameters of insect community structure shows that species richness and diversity index are important indicators for the maintenance of the stability of insect community structure. Insect communities in Erhai wetland have strong adaptive ability, which indicates that the current ecological environment of Erhai Lake wetland is in a benign development.

Key words: wetland insect community, network topology, characteristic index, diversity, correlation, time series evolution