Freshwater lake ecosystem health assessment and its response to pollution stresses based on planktonic index of biotic integrity
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Based on the planktonic data monitored in Lake Balihe, an ecosystem health assessment system referring to planktonic index of biotic integrity (P-IBI) was constructed to evaluate the lake health status and study the response mechanism of P-IBI to environmental factors. The results showed that a total of 7 phylum 59 species of phytoplankton and 3 phylum 28 species of zooplankton were identified in the lake, and both the plankton density and biomass varied significantly in time and space scales. The significant variation of Protozoa density should be responsible to the inconsistency between the distributions of zooplankton density and biomass, as well as the lowest value of P-IBI in summer. The P-IBI values and therefore the health levels can be seasonally ranked as winter > autumn > spring > summer and found spatially increased along the flow direction. Based on the relationships between P-IBI and the environmental factors, ammonia nitrogen = 0.46 mg/L and Secchi depth = 63 cm were found as the environmental protection thresholds of planktonic biotic integrity for this freshwater lake ecosystem. The findings of the research may provide some guidance to the ecological monitoring and protection of freshwater lake.
KeywordsFreshwater lake ecosystem Environmental factors P-IBI Ecosystem health assessment Biotic integrity Environmental protection thresholds
The authors would like to acknowledge with great appreciation for the support provided by the Chinese National Major Science and Technology Program for Water Pollution Control and Treatment (No. 2015ZX07204-007, No. 2017ZX07101-002, No. 2015ZX07203-011) and the Chinese Fundamental Research Funds for the Central Universities (No. 2017MS055).
- Chinese Ministry of Agriculture (2010) Specifications for freshwater plankton surveys (SC/T 9402-2010).Google Scholar
- Dalu T, Wasserman RJ, Tonkin JD (2017) Water or sediment? Partitioning the role of water column and sediment chemistry as drivers of macroinvertebrate communities in an austral South African stream. Sci Total Environ 607–608(31):317–325. https://doi.org/10.1016/j.scitotenv.2017.06.267 CrossRefGoogle Scholar
- Griffiths K, Thienpont J, Jeziorski A, Smol JP (2018) The impact of calcium-rich diamond mining effluent on downstream cladoceran communities in softwater lakes of the Northwest Territories, Canada. Can J Fish Aquat Sci 75(12):2221–2232. https://doi.org/10.1139/cjfas-2017-0469 CrossRefGoogle Scholar
- Lansac-Toha FA, Bonecker CC, Velho LFM, Simões NR, Dias JD, Alves GM, Takahashi EM (2009) Biodiversity of zooplankton communities in the Upper Parana River floodplain: interannual variation from long-term studies. Braz J Biol 69(2):539–549. https://doi.org/10.1590/S1519-69842009000300009 CrossRefGoogle Scholar
- Li J, Li Y, Qian B, Niu LH, Zhang WL, Cai W, Wu HN, Wang PF, Wang C (2017) Development and validation of a bacteria-based index of biotic integrity for assessing the ecological status of urban rivers: a case study of Qinhuai River basin in Nanjing, China. J Environ Manag 196(1):161–167. https://doi.org/10.1016/j.jenvman.2017.03.003 CrossRefGoogle Scholar
- Liang W, He J, Shen Y, Shen J, He Q, Zhang J, Jiang G, Wang Q, Liu L, Gao S, Liu D, Wang Z, Zhu Z, Ng CSH, Liu CC, Petersen RH, Rocco G, D’Amico T, Brunelli A, Chen H, Zhi X, Liu B, Yang Y, Chen W, Zhou Q, He J (2017) Impact of examined lymph node count on precise staging and long-term survival of resected non-small-cell lung cancer: a population study of the US SEER database and a Chinese multi-institutional registry. J Clin Oncol 35(11):1162–1170. https://doi.org/10.1200/JCO.2016.67.5140 CrossRefGoogle Scholar
- Liu Y, Zheng BH, Fu Q, Luo YP, Wang M (2013) Application of water pollution index in water quality assessment of rivers. Environ Monit China 29(3):49–55 (in Chinese. https://doi.org/10.19316/j.issn.1002-6002.2013.03.010 CrossRefGoogle Scholar
- Zhong MF, Zhang HY, Sun XW, Wang ZY, Tian W, Huang H (2018) Analyzing the significant environmental factors on the spatial and temporal distribution of water quality utilizing multivariate statistical techniques: a case study in the Balihe Lake, China. Environ Sci Pollut R 25(29):29418–29432. https://doi.org/10.1007/s11356-018-2943-9 CrossRefGoogle Scholar