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Nutrient loss is sensitive to land cover changes and slope gradients of agricultural hillsides: Evidence from four contrasting pond systems in a hilly catchment

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  • Zhang, Wangshou
  • Li, Hengpeng
  • Pueppke, Steven G
  • Diao, Yaqin
  • Nie, Xiaofei
  • Geng, Jianwei
  • Chen, Dongqiang
  • Pang, Jiaping

Abstract

Intensive agricultural cultivation in hilly catchments is subject to significant environmental risks, because the local terrain and exceptionally fragile ecosystem usually promote high levels of nutrient loss. In order to assess such negative effects, we compared long-term (2012–2018) water quality dynamics of four ponds that are fed by runoff from agricultural hillsides with contrasting slopes and land cover near Tianmu Lake in Eastern China. Averaged total nitrogen (TN) levels in ponds increased from 7.0 mg L−1 to 10.0 mg L−1 when the cultivated slopes above them doubled from 8° to 16°. In contrast, total phosphorus (TP) levels varied modestly from 0.05 to 0.07 mg L−1 among the four ponds. Values were lower when drained hillslopes had good vegetation coverage and/or buffer strips. Redundancy analysis (RDA) indicated that relatively high precipitation is the determining factor for N loss from gentle hillsides, but as slope gradients increase, the frequency of rainfall events becomes the major influential factor. TP loss was associated with strong rainfall events and can be greatly reduced if hillsides are well covered with vegetation. When vegetation cover is removed, nutrient loss, especially N, is heightened. Our results underscore the significance of agricultural cultivation of steep hillsides in exacerbating N and P pollution and highlight the value of forests and grasslands in reducing nutrient loss from these sensitive areas. An integrated strategy that includes controlling land exploitation, source control, delivery interception, and pond management should be considered to minimize nutrient loss in hilly areas prone to rapid agricultural expansion.

Suggested Citation

  • Zhang, Wangshou & Li, Hengpeng & Pueppke, Steven G & Diao, Yaqin & Nie, Xiaofei & Geng, Jianwei & Chen, Dongqiang & Pang, Jiaping, 2020. "Nutrient loss is sensitive to land cover changes and slope gradients of agricultural hillsides: Evidence from four contrasting pond systems in a hilly catchment," Agricultural Water Management, Elsevier, vol. 237(C).
  • Handle: RePEc:eee:agiwat:v:237:y:2020:i:c:s037837741931042x
    DOI: 10.1016/j.agwat.2020.106165
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    References listed on IDEAS

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    1. Arnold Wollenberg, 1977. "Redundancy analysis an alternative for canonical correlation analysis," Psychometrika, Springer;The Psychometric Society, vol. 42(2), pages 207-219, June.
    2. Romero, Estela & Le Gendre, Romain & Garnier, Josette & Billen, Gilles & Fisson, Cédric & Silvestre, Marie & Riou, Philippe, 2016. "Long-term water quality in the lower Seine: Lessons learned over 4 decades of monitoring," Environmental Science & Policy, Elsevier, vol. 58(C), pages 141-154.
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    1. Kai Yang & Zejun Tang & Jianzhang Feng, 2021. "Coal Fly Ash and Polyacrylamide Influence Transport and Redistribution of Soil Nitrogen in a Sandy Sloping Land," Agriculture, MDPI, vol. 11(1), pages 1-15, January.
    2. Roxana Lebuy & Diana Mancilla-Ruiz & Hermann Manríquez & Francisco De la Barrera, 2022. "Degraded Landscapes in Hillside Systems with Agricultural Use: An Integrated Analysis to Establish Restoration Opportunities in Central Chile," Land, MDPI, vol. 12(1), pages 1-16, December.
    3. Meng, Cen & Liu, Huanyao & Li, Yuyuan & Shen, Jianlin & Li, Xi & Wu, Jinshui, 2022. "Effects of environmental and agronomic factors on pond water quality within an intensive agricultural landscape in subtropical southern China," Agricultural Water Management, Elsevier, vol. 274(C).
    4. Wu, Lei & Liu, Xia & Ma, Xiaoyi, 2021. "How biochar, horizontal ridge, and grass affect runoff phosphorus fractions and possible tradeoffs under consecutive rainstorms in loessial sloping land?," Agricultural Water Management, Elsevier, vol. 256(C).

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