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Assessing the Relationship Between Landscape Patterns and Nonpoint-Source Pollution in the Danjiangkou Reservoir Basin in China

Authors

  • Fanghua Hao,

    1. Respectively, Professor (Hao), Doctoral Student (Zhang), and Associate Professor (Ouyang), School of Environment, Beijing Normal University, 19 Xinjiekouwai St., Beijing 100875, China
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  • Xuan Zhang,

    1. Respectively, Professor (Hao), Doctoral Student (Zhang), and Associate Professor (Ouyang), School of Environment, Beijing Normal University, 19 Xinjiekouwai St., Beijing 100875, China
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  • Xiao Wang,

    1. Postdoctoral Fellow (Wang), School of Public Policy and Management, Tsinghua University, Beijing 100084, China
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  • Wei Ouyang

    1. Respectively, Professor (Hao), Doctoral Student (Zhang), and Associate Professor (Ouyang), School of Environment, Beijing Normal University, 19 Xinjiekouwai St., Beijing 100875, China
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  • Paper No. JAWRA-12-0065-P of the Journal of the American Water Resources Association (JAWRA). Discussions are open until six months from print publication.

(E-Mail/Zhang: xuaner127@foxmail.com).

Abstract

Abstract:  The constrained ordination method from quantitative ecology was utilized to assess the relationship between landscape patterns and nonpoint-source (NPS) pollution for the purpose of identifying effective water-quality improvement practices in Danjiangkou Reservoir (DJKR) basin, China. The soil and water assessment tool (SWAT) was applied to simulate NPS pollution and the Fragstats model was applied to calculate the landscape metrics. The study concluded that organic nutrients formed the main NPS pollutant in the DJKR basin and that most of the NPS pollution occurred along with soil loss. Based on partial redundancy analysis, the conclusion that landscape metrics were significantly correlated to NPS pollution indices was obtained. Specifically, the composition of LULC (land use/land cover) was the most effective factor to estimate NPS pollution. Dry cultivated land was identified as the main source of NPS pollution, and paddy fields were characterized with the most intensive soluble nutrients loss. In addition, the reason that fragmented and complex landscape patterns exacerbate NPS pollution was that natural landscape composed most of this area. Moreover, the fragmented natural landscape indicated intensive agricultural activities that were the crucial trigger for NPS pollution. Combined with the economic condition in China, Conversion of Cropland to Forests Program (CCFP) should be conducted selectively and gradually in the DJKR basin.

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