Water quantity and quality changes from forested riparian buffer in Beijing

Xu, Ke; Mo, Lichun; Zhang, Zhenming; Zhang, Mingxiang

doi:10.1007/s11356-019-05991-5

Cited by 8 publications

(3 citation statements)

References 23 publications

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“…However, this result differs from those of several studies at the national scale, which found that cropland is the critical source in the N flow [40,53,54]. Therefore, given the premise of not adversely affecting economic development, the terminal system of N emissions can be controlled by ameliorating urban residents' food and energy consumption habits in the future [55][56][57].…”

Section: Spatial Gradient Characteristics Of Source-sink Landscapes A...contrasting

confidence: 66%

“…To trap N pollution with sink landscapes, broadening the forest land and greenbelt can be most effective. In addition, forest land also can improve water quality [55,58]. For this reason, the results of this study suggest that the area of sink landscapes (e.g., greenbelts and parks) closest to the urban core should be appropriately increased to effectively reduce N loss in the environment.…”

Section: Spatial Gradient Characteristics Of Source-sink Landscapes A...mentioning

confidence: 94%

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Dynamic Changes of Nitrogen Loads in Source–Sink Landscapes under Urbanization

Tang

Cui

2022

Land

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The dynamic changes of nitrogen (N) loads have been significantly impacted by the rapid expansion of many cities, potentially escalating the risk of N pollution in cities. However, the spatiotemporal changes of N loads in source and sink landscapes remain unclear in urbanization. In this research, we used source–sink landscape theory to identify the source–sink landscape in the process of N flow at the city scale and investigated the spatiotemporal changes of N loads in the source–sink landscape from 2005 to 2015 in Xiamen, a rapidly urbanizing city in southern China. The total N loads of source landscapes increased by 2 times between 2005 and 2015, with an average annual growth of 26%, while the total N loads of sink landscapes climbed gradually, with an average annual increase of 8%, according to our findings. Moreover, in terms of the spatial gradient, the N loads of the source landscape fluctuated downward and reached their peak in the urban center, whereas the N loads of the sink landscape tended to rise and reached their peak outside of the city. Our findings offered a fresh viewpoint on the source–sink landscape in N flows at the city scale and offered useful guidance for N spatial management to support sustainable city development.

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Section: Spatial Gradient Characteristics Of Source-sink Landscapes A...contrasting

confidence: 66%

Section: Spatial Gradient Characteristics Of Source-sink Landscapes A...mentioning

confidence: 94%

Dynamic Changes of Nitrogen Loads in Source–Sink Landscapes under Urbanization

Tang

Cui

2022

Land

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“…Nonpoint source pollution (NSP), such as agricultural pesticides, phosphorus, and nitrogen, flow into waterbodies, thereby leading to water quality deterioration. In recent decades, over 40% to 60% of watershed NSP is estimated to come mainly from agricultural areas in China, and a similar dynamic has been observed in the U.S. [3,4] Moreover, several studies indicated that NSP pollution had caused over 60% of water quality deterioration [5][6][7].…”

Section: Introductionmentioning

confidence: 71%

Role of Landscape and Land-Use Transformation on Nonpoint Source Pollution and Runoff Distribution in the Dongsheng Basin, China

Matomela,

Li,

Zhang

et al. 2023

Sustainability

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Non-point source pollution (NSP) and runoff intensities and distribution are primarily affected by landscape structure and composition. Multiple causalities hinder our ability to determine significant variables that influence NSP. Therefore, we developed an approach that integrates the Soil and Water Assessment Tool (SWAT), random forest regression model, redundancy analysis, and correlation coefficient to assess the role of landscape structure on runoff and NSP in the Dongsheng basin. We used R to calculate landscape metrics and the SWAT to simulate NSP loads from 1990 to 2019. redundancy analysis (RDA), random forest, and Pearson correlation were used to analyze the relationships among landscape metrics and NSP variables. The largest patch index (LPI) shows a significant negative correlation with NSP, with an R2 of −0.58 for TP and TN and −0.62 for sediment load. The findings indicate that landscapes with larger patch sizes, a high number of patches, and aggregation of patches largely influence pollution distribution. Overall, the results suggest that the role of landscape patterns on NSP outweighs that of runoff. Moreover, the findings infer that the aggregation and connectivity of forest patches contribute to the decline in NSP load and vice versa for cropland cover. Thus, for sustainable watershed management, it is crucial to encourage unfragmented landscapes, especially pollutant-intercepting landcovers such as forests.

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Discussing on “source-sink” landscape theory and phytoremediation for non-point source pollution control in China

Wang

Sun

et al. 2020

Environ Sci Pollut Res

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Water quantity and quality changes from forested riparian buffer in Beijing

Cited by 8 publications

References 23 publications

Dynamic Changes of Nitrogen Loads in Source–Sink Landscapes under Urbanization

Dynamic Changes of Nitrogen Loads in Source–Sink Landscapes under Urbanization

Role of Landscape and Land-Use Transformation on Nonpoint Source Pollution and Runoff Distribution in the Dongsheng Basin, China

Discussing on “source-sink” landscape theory and phytoremediation for non-point source pollution control in China

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