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Predicting avian diversity based on land use and cover on a national scale.
Kim, Jae Hyun; Park, Shinyeong; Hepinstall-Cymerman, Jeffrey; Lee, Dong Kun.
Affiliation
  • Kim JH; Transboundary Ecological Research Institute, Goseong, Gangwon-do, 24758, Republic of Korea. hyun.kim36@gmail.com.
  • Park S; DMZ Ecology Research Institute, Paju, Gyeonggi-do, 10881, Republic of Korea. hyun.kim36@gmail.com.
  • Hepinstall-Cymerman J; Warnell School of Forestry and Natural Resources, University of Georgia, Athens, Georgia, 30602, USA. hyun.kim36@gmail.com.
  • Lee DK; Research Institute of Agriculture and Life Sciences, Seoul National University, Seoul, Republic of Korea. hyun.kim36@gmail.com.
Sci Data ; 11(1): 874, 2024 Aug 13.
Article in En | MEDLINE | ID: mdl-39138225
ABSTRACT
This study explores the relationship between landscape features and avian diversity in South Korea, examining both taxonomic and functional diversity. The Korean Peninsula serves as a pivotal habitat for resident bird species and a migratory pathway in the East Asia-Pacific flyway. Using a national dataset with block sizes ranging from 3.5 to 4.5 kilometers per side, we found that less urbanized open plains exhibit higher taxonomic diversity, while coastal regions with diverse water bird populations show higher functional diversity. These findings underscore the significance of conserving the existing land types and qualities in specific regions to substantially impact bird distribution and regional biodiversity. Remarkably, closed forests display diversity patterns akin to urban/built-up areas, despite their disparate land use characteristics. The stability of bird diversity indices across different land use types enables us to predict bird diversity indices based on the particular land use and land cover configurations. This study emphasizes the complementary nature of functional biodiversity indices in comprehending bird distribution patterns alongside taxonomic diversity indices.
Subject(s)

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Birds / Biodiversity Limits: Animals Country/Region as subject: Asia Language: En Journal: Sci Data Year: 2024 Document type: Article

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Birds / Biodiversity Limits: Animals Country/Region as subject: Asia Language: En Journal: Sci Data Year: 2024 Document type: Article