人类活动影响下异龙湖浮游植物碳氮稳定同位素变化特征

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Abstract From September 2020 to June 2022, a spatial investigation and seasonal analysis of water quality and carbon and nitrogen isotope signals of phytoplankton were carried out across 20 sites of Yilong Lake over 8seasons. The results showed that the distribution of δ¹³C signal of phytoplankton ranged from -28.98‰ to -22.32‰, showing lower values in wet year (-26.89‰±1.34‰) than in dry year (-25.30‰±0.97‰), and higher values in September than in other months. Meanwhile, the spatial distribution of δ¹³C signal showed higher values in western lake basin than those in central and eastern lake basins. The δ¹⁵N signal of phytoplankton varied from -0.28‰ to 10.25‰, and was significantly higher in wet year (6.28‰±1.07‰) than in dry year (2.78‰±1.55‰). Meanwhile, the values of phytoplankton δ¹⁵N were lower in fertilization season (June and December) compared to other seasons, and also higher in rainy season (September) and early dry season (December) than those in central and eastern lake basins. With increasing water volume in Yilong Lake, there was an increase in inorganic carbon input and a decrease in nutrient levels, resulting in a significant decline in phytoplankton δ¹³C signal. This may reflect the rapid response of phytoplankton δ¹³C signal linked to human activities such as water diversion and replenishment measures. Meanwhile, the lower δ¹⁵N values of phytoplankton are closely related to lake-water NH₄⁺-N concentration, reflecting the role of nitrogen pollution from agricultural non-point sources (mainly ammonia fertilizer) in affecting phytoplankton absorption. However, the δ¹⁵N value of phytoplankton increased significantly with expanding water volume along with a replacement of chemical fertilizers by organic fertilizers during agricultural fertilization, a measure taken for mitigating lake eutrophication. The results of MixSIAR model showed that nutrient loading derived from agricultural non-point sources decreased from 88.4% in the dry year to 79.0% in the wet year, with the contribution of point source pollution increasing from 11.6% to 21.0%. Specifically, the relative contribution of chemical fertilizers decreased from 41.2% to 14.0%, the proportion of organic fertilizers increased from 47.2% to 65.0%. Therefore, pollution control measures, such as water diversion, hydrological replenishment and use of organic fertilizers, have largely reduced the lake-water nutrient concentrations, and this is also evidenced in an increase of the δ¹³C signal of phytoplankton due to an increased basin input of both the δ¹³C-depleted carbon and δ¹⁵N-enriched nitrogen. In all, our study highlights that lake management and restoration measures can significantly affect the isotopic signal and cycling porcesses of nutrients in the primary producers of lakes.

Key words： Yilong Lake phytoplankton stable isotopes of carbon and nitrogen lake restoration isotopic mixing model

Received: 10 November 2022

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	WANG Xu
	GUO Wen
	WANG Ming-guo
	LI Ping
	WEN Wen-wen
	CHEN Li
	ZHENG Xin
	HUANG Lin-pei
	CHEN Guang-jie

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WANG Xu,GUO Wen,WANG Ming-guo等. Pattern in changes of carbon and nitrogen stable isotopes of phytoplankton in Yilong Lake under the influence of human activities[J]. CHINA ENVIRONMENTAL SCIENCECE, 2023, 43(6): 3087-3099.

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http://www.zghjkx.com.cn/EN/ OR http://www.zghjkx.com.cn/EN/Y2023/V43/I6/3087

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