Dataset Information

Predicting avian diversity based on land use and cover on a national scale.

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.

SUBMITTER: Kim JH

PROVIDER: S-EPMC11322311 | biostudies-literature | 2024 Aug

REPOSITORIES: biostudies-literature

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Predicting avian diversity based on land use and cover on a national scale.

Kim Jae Hyun JH Park Shinyeong S Hepinstall-Cymerman Jeffrey J Lee Dong Kun DK

Scientific data 20240813 1

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 populat ...[more]

PMID: 39138225

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Dataset Information

Predicting avian diversity based on land use and cover on a national scale.

Publications

Predicting avian diversity based on land use and cover on a national scale.

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