Your browser doesn't support javascript.
loading
Distribution Patterns of Odonate Assemblages in Relation to Environmental Variables in Streams of South Korea.
Lee, Da-Yeong; Lee, Dae-Seong; Bae, Mi-Jung; Hwang, Soon-Jin; Noh, Seong-Yu; Moon, Jeong-Suk; Park, Young-Seuk.
Afiliación
  • Lee DY; Department of Biology, Kyung Hee University, Seoul 02447, Korea. hg99228@hanmail.net.
  • Lee DS; Department of Biology, Kyung Hee University, Seoul 02447, Korea. dleotjd520@naver.com.
  • Bae MJ; Freshwater Biodiversity Research Bureau, Nakdonggang National Institute of Biological Resources, Sangju, Gyeongsangbuk-do 37242, Korea. mjbae@nnibr.re.kr.
  • Hwang SJ; Department of Environmental Health Science, Konkuk University, Seoul 05029, Korea. sjhwang@konkuk.ac.kr.
  • Noh SY; Water Environment Research Department, Watershed Ecology Research Team, National Institute of Environmental Research, Incheon 22689, Korea. nsy2809@korea.kr.
  • Moon JS; Water Environment Research Department, Watershed Ecology Research Team, National Institute of Environmental Research, Incheon 22689, Korea. waterfa@korea.kr.
  • Park YS; Department of Biology, Kyung Hee University, Seoul 02447, Korea. parkys@khu.ac.kr.
Insects ; 9(4)2018 Oct 29.
Article en En | MEDLINE | ID: mdl-30380629
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.
Palabras clave

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Prognostic_studies Idioma: En Revista: Insects Año: 2018 Tipo del documento: Article Pais de publicación: Suiza

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Prognostic_studies Idioma: En Revista: Insects Año: 2018 Tipo del documento: Article Pais de publicación: Suiza