Distribution patterns of odonate assemblages in relation to environmental variables in streams of South Korea

Da Yeong Lee, Dae Seong Lee, Mi Jung Bae, Soon Jin Hwang, Seong Yu Noh, Jeong Suk Moon, Young Seuk Park

Research output: Contribution to journalArticlepeer-review

16 Citations (Scopus)

Abstract

Odonata species are sensitive to environmental changes, particularly those caused by humans, and provide valuable ecosystem services as intermediate predators in food webs. We aimed: (i) to investigate the distribution patterns of Odonata in streams on a nationwide scale across South Korea; (ii) to evaluate the relationships between the distribution patterns of odonates and their environmental conditions; and (iii) to identify indicator species and the most significant environmental factors affecting their distributions. Samples were collected from 965 sampling sites in streams across South Korea. We also measured 34 environmental variables grouped into six categories: geography, meteorology, land use, substrate composition, hydrology, and physicochemistry. A total of 83 taxa belonging to 10 families of Odonata were recorded in the dataset. Among them, eight species displayed high abundances and incidences. Self-organizing map (SOM) classified sampling sites into seven clusters (A–G) which could be divided into two distinct groups (A–C and D–G) according to the similarities of their odonate assemblages. Clusters A–C were characterized by members of the suborder Anisoptera, whereas clusters D–G were characterized by the suborder Zygoptera. Non-metric multidimensional scaling (NMDS) identified forest (%), altitude, and cobble (%) in substrata as the most influential environmental factors determining odonate assemblage compositions. Our results emphasize the importance of habitat heterogeneity by demonstrating its effect on odonate assemblages.

Original languageEnglish
Article number152
JournalInsects
Volume9
Issue number4
DOIs
Publication statusPublished - Dec 2018

Bibliographical note

Publisher Copyright:
© 2018 by the authors. Licensee MDPI, Basel, Switzerland.

Keywords

  • Community analysis
  • Freshwater ecology
  • Indicator species
  • Multivariate analysis
  • Non-metric multidimensional analysis (nmds)
  • Odonata
  • Self-organizing map (som)
  • Stream community

Fingerprint

Dive into the research topics of 'Distribution patterns of odonate assemblages in relation to environmental variables in streams of South Korea'. Together they form a unique fingerprint.

Cite this