我国土壤受试植物筛选与毒性预测

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Abstract The lack of ecotoxicity data has always been a problem in the research of soil criteria and ecological risk assessment in China. The screening of native test plants can provide more ecotoxicity test materials, so as to obtain the ecotoxicity data of different species. In view of the sensitivity of plants to soil pollutants, potential test plants in China were screened from angiosperms according to the principles of distribution range, representativeness and accessibility. The results showed that 53 species of angiosperms in 13 families were widely distributed and easy to obtain, and could be used as native test plants. The result showed that ecotoxicity data of 12 plant species were relatively abundant. Therefore, the ecotoxicity prediction models were developed in this study. A total of 132 Interspecies Correlation Estimation (ICE) models were obtained for the 12 plant species, of which 88 were significant models (F-test P<0.05). Moreover, the selection and evaluation principle of the constructed ICE models were analyzed, and it was concluded that the ICE models with better prediction effects should meet the principle of cross-validation success rate≥80.00%, MSE≤0.62, R² ≥0.76 and taxonomic distance≤4. Finally, 25ICE models were screened meeting the above principle, involving the mutual prediction of Gramineae-Gramineae and Cruciferae-Cruciferae. Among which when Avena sativa, Brassica rapa, Triticum aestivum, Zea mays and Lolium perenne were used as the surrogate species, the estimated toxicity values of predicted species were close to the actual tested values. The screening of the test plants and the establishment of the ecotoxicity prediction model can help generate ecotoxicity data and provide a scientific basis for soil pollution management and ecological risk assessment.

Key words： soil ecological criteria screening of test organisms angiosperm species species sensitivity analysis ICE model prediction

Received: 28 December 2021

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	Articles by authors
	LUO Jing-jing
	WU Fan
	ZHANG Jia-wen
	LIU Zheng-tao
	ZHANG Cong
	WANG Xiao-nan

Cite this article:

LUO Jing-jing,WU Fan,ZHANG Jia-wen等. Screening of soil test plants and developing of their toxicity prediction models in China[J]. CHINA ENVIRONMENTAL SCIENCECE, 2022, 42(7): 3295-3305.

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http://www.zghjkx.com.cn/EN/ OR http://www.zghjkx.com.cn/EN/Y2022/V42/I7/3295

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