4.7 Article

Impacts of land use metrics on urban stream health: Buffalo Creek, North Carolina, USA

期刊

APPLIED GEOGRAPHY
卷 139, 期 -, 页码 -

出版社

ELSEVIER SCI LTD
DOI: 10.1016/j.apgeog.2022.102637

关键词

Aquatic ecosystems; Hydrology; Land use; land cover; Physical habitat; Urban streams; Water quality

向作者/读者索取更多资源

Urban stream syndrome refers to the physical, chemical, and biological transformations of stream systems in an urban environment. Most studies focus on land cover as a predictor, rather than land use. This study found consistent relationships between different land use variables and water quality indicators.
Urban stream syndrome refers to a widely recognized set of physical, chemical, and biological transformations of stream systems in the urban environment. There are multiple ways to characterize both the predictor variables (degree of urbanization) and the response variables (hydrology, geomorphology, water quality, aquatic ecosystems) of urban stream syndrome. Most studies have focused on land cover as a predictor variable, rather than the ways in which urban land is used. Here, nine small catchments in the Buffalo Creek drainage of Greensboro, North Carolina, USA, were used as a study area with a wide range of different urban land uses within a highly urbanized environment. Relationships were examined between several different predictor variables (National Land Cover Database class, impervious surface area, tax parcels) and response variables (indicators of physical habitat and water quality). The most consistent relationships were between all land use/cover predictor variables and the response variables of conductivity (R2 ranging from 0.07 to 0.21, p <= 0.02), nitrate (R2 from 0.57 to 0.72, p < 0.001), and chloride (R2 from 0.45 to 0.52, p < 0.001). These results can help managers of urban stream systems by suggesting zoning patterns as an additional metric that can be used to quantify urbanization impacts on streams.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.7
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据