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关键沿海景观结构,以增强黄海候鸟数量的弹性沿海绿色基础设施。

Key coastal landscape structures for resilient coastal green infrastructure to enhance the abundance of migratory birds on the Yellow Sea.

机构信息

Department of Environmental Science & Ecological Engineering, Korea University, 145 Anam-ro, Seongbuk-gu, Seoul, 02841, Republic of Korea.

Division of Environmental Science & Ecological Engineering, College of Life Sciences and Biotechnology, Korea University, 145 Anam-ro, Seongbuk-gu, Seoul, 02841, Republic of Korea.

出版信息

Environ Pollut. 2018 Dec;243(Pt B):1617-1628. doi: 10.1016/j.envpol.2018.08.081. Epub 2018 Aug 29.

DOI:10.1016/j.envpol.2018.08.081
PMID:30296758
Abstract

The aim of this study was to investigate the key landscape structures of migratory bird habitats that affect abundance of migratory birds to promote resilient coastal green infrastructure planning on the Yellow Sea coast. We classified coastal areas into four watersheds of South Korea and conducted multivariate regression analysis between migratory bird populations and landscape structures including total class area (CA), patch area distribution (MN), patch density (PD), and edge density (ED). At the national level, sandbank MN, sandbank CA, water ED, and grasslands were derived as key landscape structures affecting the abundance of migratory birds. At the watershed level, key landscape structures were determined as follows: Urban area_MN for the Han River watershed, rice paddy MN for the Asan watershed, rice paddy CA for Saemangeum, and grassland MN for the Youngsan River watershed. Considering the multifunctionality, redundancy, and connectivity of the resilience strategy, we provide specific coastal infrastructure planning recommendations at the national and watershed scales.

摘要

本研究旨在探讨影响候鸟数量的候鸟栖息地关键景观结构,以促进黄海海岸具有弹性的沿海绿色基础设施规划。我们将沿海地区分为韩国的四个流域,并在候鸟种群与包括总面积(CA)、斑块面积分布(MN)、斑块密度(PD)和边缘密度(ED)在内的景观结构之间进行多元回归分析。在国家层面上,沙滩 MN、沙滩 CA、水域 ED 和草地被确定为影响候鸟数量的关键景观结构。在流域层面上,关键景观结构如下:汉江流域的城区 MN、天安流域的稻田 MN、咸镜南道的围垦地 CA 和永川河流域的草地 MN。考虑到弹性策略的多功能性、冗余性和连通性,我们在国家和流域尺度上提供了具体的沿海基础设施规划建议。

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