- Shiyu Li11,12,
- Bin Liu11,12,
- Changliang Yang11,12,
- Guiming Chen12,
- Linna Yuan11,
- Yangyu Song12,13,
- Xiaomei Li12,13,
- Deshou Cun12,13 &
- …
- Shuang Hu12,13
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Abstract
It is crucial for assessing the eutrophication risk of lake by analyzing the phosphorus (P) balance of lake watershed quantitively. A mass balance method was used to calculate P balance of both Yangzonghai lake watershed and the lake itself in one year. The imported P load was 725.1 t in 2010, while the exported P load was 317.3 t, which indicated that 56.2 % (407.8 t yr−1) of P was retained in the lake watershed. Such a high retention load implied that the lake, which was mesotrophic, was under great pressure of further eutrophication. Among all the input pathways, the largest P input contributor was fertilizer, contributing 679.0 t P and accounting for 93.6 % of input P, followed by atmospheric deposition (44.7 t P, 6.2 %). Plant product (264.6 t, 83.4 %) was the largest P output contributor, followed by animal products (50.2 t, 15.8 %).
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Acknowledgments
This research was financially supported by the National Natural Science Council, P.R. China (Project numbers 51168047, 31300418). We gratefully acknowledge Prof. Jie Chang and Prof. Ying Ge of Zhejiang University for their valuable comments that improved our manuscript. We thank Luke Driskell for language improving.
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Engineering Technology Institute, Yunnan University, Kunming, 650091, China
Shiyu Li, Bin Liu, Changliang Yang & Linna Yuan
School of Ecology and Environmental Sciences, Yunnan University, Kunming, 650091, China
Shiyu Li, Bin Liu, Changliang Yang, Guiming Chen, Yangyu Song, Xiaomei Li, Deshou Cun & Shuang Hu
School of Urban Construction and Management, Yunnan University, Kunming, 650091, China
Yangyu Song, Xiaomei Li, Deshou Cun & Shuang Hu
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Fuling Bian
Eastern Michigan University, Ypsilanti, China
Yichun Xie
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Li, S.et al. (2016). Watershed-Scale Phosphorus Balance Evaluation Using a Mass Balance Method. In: Bian, F., Xie, Y. (eds) Geo-Informatics in Resource Management and Sustainable Ecosystem. GRMSE 2015. Communications in Computer and Information Science, vol 569. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-49155-3_72
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