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The Influence of Different Forest Characteristics on Non-point Source Pollution: A Case Study at Chaohu Basin, China

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Listed:
  • Hao Cheng

    (Co-Innovation Center for Sustainable Forestry in Southern China, Nanjing Forestry University, Nanjing 210037, China
    Priority Academic Program Development of Jiangsu High Education Institutions (PAPD), Nanjing Forestry University, Nanjing 210037, China)

  • Chen Lin

    (Key Laboratory of Watershed Geographic Sciences, Institute of Geography and Limnology, Chinese Academy Sciences, Nanjing 210008, China)

  • Liangjie Wang

    (Co-Innovation Center for Sustainable Forestry in Southern China, Nanjing Forestry University, Nanjing 210037, China
    Priority Academic Program Development of Jiangsu High Education Institutions (PAPD), Nanjing Forestry University, Nanjing 210037, China)

  • Junfeng Xiong

    (Key Laboratory of Watershed Geographic Sciences, Institute of Geography and Limnology, Chinese Academy Sciences, Nanjing 210008, China)

  • Lingyun Peng

    (Co-Innovation Center for Sustainable Forestry in Southern China, Nanjing Forestry University, Nanjing 210037, China
    Priority Academic Program Development of Jiangsu High Education Institutions (PAPD), Nanjing Forestry University, Nanjing 210037, China)

  • Chenxi Zhu

    (Jiangsu Institute of Land Surveying and Planning, Nanjing 210017, China)

Abstract

Forestland is a key land use/land cover (LULC) type that affects nonpoint source (NPS) pollution, and has great impacts on the spatiotemporal features of watershed NPS pollution. In this study, the forestland characteristics of the Chaohu Basin, China, were quantitatively represented using forestland types (FLTs), watershed forest coverage (WFC) and forest distance from the river (DFR). To clarify the impact of forests on NPS pollution, the relationship between forestland characteristics and watershed nutrient outputs (TN and TP) was explored on a monthly scale using SWAT (Soil and Water Assessment Tool) and the period simulation was 2008–2016. The results showed that: (1) the TN and TP showed similar output characteristics and the rainy season was the peak period of nitrogen and phosphorus output. (2) Among the forestland characteristics of forestland types, watershed forest coverage and forest distance from the river, watershed forest coverage and forest distance from the river had greater effects than forestland types on the control of watershed nutrient outputs (TN and TP). (3) In different forestland types, the watershed nutrient outputs intensity remained at the lowest level when the FLTs was mixed forest, with a TN output of 1244.73kg/km 2 and TP output of 341.39 kg/km 2 . (4) The watershed nutrient outputs and watershed forest coverage were negatively correlated, with the highest watershed forest coverage (over 75%) reducing the TN outputs by 56.69% and the TP outputs by 53.46% compared to the lowest watershed forest coverage (below 25%), it showed that in areas with high forest land coverage, the non-point source pollution load in the watershed is smaller than in other areas. (5) forest distance from the river had an uncertain effect on the TN and TP output of the basin, the forestland itself is a source of pollution, but it also has the function of intercepting pollution movement; the forest distance from the river in the range of 500–1000 m had the lowest NPS pollution. Considering the different forest characteristics and topographical factors, an optimal allocation mode of differentiated forest land was proposed, these suggestions will provide a scheme for surface source pollution prevention and control in the basin. This research gap is the basis of real forestland optimization. We may optimize the forestland layout for NPS pollution prevention and control by clarifying the internal mechanism.

Suggested Citation

  • Hao Cheng & Chen Lin & Liangjie Wang & Junfeng Xiong & Lingyun Peng & Chenxi Zhu, 2020. "The Influence of Different Forest Characteristics on Non-point Source Pollution: A Case Study at Chaohu Basin, China," IJERPH, MDPI, vol. 17(5), pages 1-19, March.
    • Handle: RePEc:gam:jijerp:v:17:y:2020:i:5:p:1790-:d:330630
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    References listed on IDEAS

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    1. Liu, Ruimin & Zhang, Peipei & Wang, Xiujuan & Chen, Yaxin & Shen, Zhenyao, 2013. "Assessment of effects of best management practices on agricultural non-point source pollution in Xiangxi River watershed," Agricultural Water Management, Elsevier, vol. 117(C), pages 9-18.
    2. Liu, Y. & Tao, Y. & Wan, K.Y. & Zhang, G.S. & Liu, D.B. & Xiong, G.Y. & Chen, F., 2012. "Runoff and nutrient losses in citrus orchards on sloping land subjected to different surface mulching practices in the Danjiangkou Reservoir area of China," Agricultural Water Management, Elsevier, vol. 110(C), pages 34-40.
    3. Zhang, H. & Huang, G.H., 2011. "Assessment of non-point source pollution using a spatial multicriteria analysis approach," Ecological Modelling, Elsevier, vol. 222(2), pages 313-321.
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