United States Environmental Protection Agency. Guidelines for Deriving Numerical National Water Quality Criteria for the Protection of Aquatic Organisms and Their Uses[R]. Washington DC:Office of Research and Development, 1985:1-57
European Commission (EC). Technical Guidance Document on Risk Assessment[R]. Luxembourg:Office for Official Publications of the European Communities, 2003:149-150
Australian and New Zealand Environmentent and Conservation Council, and Agriculture and Resource Management Council of Australia and New Zealand (ANZECC & ARMCANZ). Australian and New Zealand Guidelines for Fresh and Marine Water Quality[R]. Canberra:ANZECC & ARMCANZ, 2000
Del Signore A, Hendriks A J, Lenders H J R, et al. Development and application of the SSD approach in scientific case studies for ecological risk assessment[J]. Environmental Toxicology and Chemistry, 2016, 35(9):2149-2161
中华人民共和国国家环境保护部. HJ 831-2017淡水水生生物水质基准制定技术指南[S]. 北京:中国环境科学出版社, 2017 Ministry of Environmental Protection of the People's Republic of China. HJ 831-2017 Technical Guideline for Deriving Water Quality Criteria for the Protection of Freshwater Aquatic Organisms[S]. Beijing:China Environmental Science Press, 2017 (in Chinese)
Fedorenkova A, Vonk J A, Lenders H J R, et al. Ecotoxicogenomics:Bridging the gap between genes and populations[J]. Environmental Science & Technology, 2010, 44(11):4328-4333
Caldwell D J, Mastrocco F, Hutchinson T H, et al. Derivation of an aquatic predicted no-effect concentration for the synthetic hormone, 17α-ethinyl estradiol[J]. Environmental Science & Technology, 2008, 42(19):7046-7054
Jin X W, Wang Y Y, Jin W, et al. Ecological risk of nonylphenol in China surface waters based on reproductive fitness[J]. Environmental Science & Technology, 2013, 48(2):1256-1262
高祥云, 李霁, 王晓南, 等. 基于生长发育毒性终点的国内外部分水体中全氟辛烷磺酸盐生态风险评价[J]. 环境化学, 2018, 37(8):1789-1795 Gao X Y, Li J, Wang X N, et al. Growth and development toxicity based ecological risk assessment of PFOS in freshwater of domestic and abroad[J]. Environmental Chemistry, 2018, 37(8):1789-1795(in Chinese)
Huang Q S, Bu Q W, Zhong W G, et al. Derivation of aquatic predicted no-effect concentration (PNEC) for ibuprofen and sulfamethoxazole based on various toxicity endpoints and the associated risks[J]. Chemosphere, 2018, 193:223-229
P é rez-Iglesias J M, Franco-Belussi L, Natale G S, et al. Biomarkers at different levels of organisation after atrazine formulation (SIPTRAN 500SC®) exposure in Rhinella schineideri (Anura:Bufonidae) Neotropical tadpoles[J]. Environmental Pollution, 2019, 244:733-746
Wo K T, Lam P K S, Wu R S S. A comparison of growth biomarkers for assessing sublethal effects of cadmium on a marine gastropod, Nassarius festivus[J]. Marine Pollution Bulletin, 1999, 39(1-12):165-173
Spurgeon D J, Ricketts H, Svendsen C, et al. Hierarchical responses of soil invertebrates (earthworms) to toxic metal stress[J]. Environmental Science & Technology, 2005, 39(14):5327-5334
刘娜, 金小伟, 王业耀, 等. 生态毒理数据筛查与评价准则研究[J]. 生态毒理学报, 2016, 11(3):1-10 Liu N, Jin X W, Wang Y Y, et al. Review of criteria for screening and evaluating ecotoxicity data[J]. Asian Journal of Ecotoxicology, 2016, 11(3):1-10(in Chinese)
Yan Z G, Yang N Y, Wang X N, et al. Preliminary analysis of species sensitivity distribution based on gene expression effect[J]. Science China:Earth Sciences, 2012, 55(6):907-913
Nichols J W, Breen M, Denver R J, et al. Predicting chemical impacts on vertebrate endocrine systems[J]. Environmental Toxicology and Chemistry, 2011, 30(1):39-51
Lin B L, Tokai A, Nakanishi J. Approaches for establishing predicted-no-effect concentrations for population-level ecological risk assessment in the context of chemical substances management[J]. Environmental Science & Technology, 2005, 39(13):4833-4840
Iwasaki Y, Hayashi T I, Kamo M. Estimating population-level HC5 for copper using a species sensitivity distribution approach[J]. Environmental Toxicology and Chemistry, 2013, 32(6):1396-1402
金小伟, 王子健, 王业耀, 等. 淡水水生态基准方法学研究:繁殖/生殖毒性类化合物水生态基准探讨[J]. 生态毒理学报, 2015, 10(1):31-39 Jin X W, Wang Z J, Wang Y Y, et al. Methodologies for deriving aquatic life criteria (ALC):Discussion of ALC for chemicals causing reproductive toxicity[J]. Asian Journal of Ecotoxicology, 2015, 10(1):31-39(in Chinese)
Guo L, Li Z Y, Gao P, et al. Ecological risk assessment of bisphenol A in surface waters of China based on both traditional and reproductive endpoints[J]. Chemosphere, 2015, 139:133-137
Liu N, Wang Y Y, Yang Q, et al. Probabilistic assessment of risks of diethylhexyl phthalate (DEHP) in surface waters of China on reproduction of fish[J]. Environmental Pollution, 2016, 213:482-488
Kamo M, Naito W. A novel approach to determining a population-level threshold in ecological risk assessment:A case study of zinc[J]. Human and Ecological Risk Assessment, 2008, 14(4):714-727
Rohr J R, Salice C J, Nisbet R M. The pros and cons of ecological risk assessment based on data from different levels of biological organization[J]. Critical Reviews in Toxicology, 2016, 46(9):756-784
Klimisch H J, Andreae M, Tillmann U. A systematic approach for evaluating the quality of experimental toxicological and ecotoxicological data[J]. Regulatory Toxicology and Pharmacology, 1997, 25(1):1-5
Duboudin C, Ciffroy P, Magaud H. Effects of data manipulation and statistical methods on species sensitivity distributions[J]. Environmental Toxicology and Chemistry, 2004, 23(2):489-499
Xu F L, Li Y L, Wang Y, et al. Key issues for the development and application of the species sensitivity distribution (SSD) model for ecological risk assessment[J]. Ecological Indicators, 2015, 54:227-237
Zhao J S, Chen B Y. Species sensitivity distribution for chlorpyrifos to aquatic organisms:Model choice and sample size[J]. Ecotoxicology and Environmental Safety, 2016, 125:161-169
Jin X W, Zha J M, Xu Y P, et al. Derivation of aquatic predicted no-effect concentration (PNEC) for 2,4-dichlorophenol:Comparing native species data with non-native species data[J]. Chemosphere, 2011, 84(10):1506-1511
Wang X N, Yan Z G, Liu Z T, et al. Comparison of species sensitivity distributions for species from China and the USA[J]. Environmental Science and Pollution Research, 2014, 21(1):168-176
Dyer S D, Versteeg D J, Belanger S E, et al. Interspecies correlation estimates predict protective environmental concentrations[J]. Environmental Science & Technology, 2006, 40(9):3102-3111
Wu F C, Mu Y S, Chang H, et al. Predicting water quality criteria for protecting aquatic life from physicochemical properties of metals or metalloids[J]. Environmental Science & Technology, 2012, 47(1):446-453
Jin X W, Wang Z J, Wang Y Y, et al. Do water quality criteria based on nonnative species provide appropriate protection for native species?[J]. Environmental Toxicology and Chemistry, 2015, 34(8):1793-1798
Wang B, Yu G, Huang J, et al. Tiered aquatic ecological risk assessment of organochlorine pesticides and their mixture in Jiangsu reach of Huaihe River, China[J]. Environmental Monitoring and Assessment, 2009, 157(1-4):29-42
Newman M C, Ownby D R, Mézin L C A, et al. Applying species-sensitivity distributions in ecological risk assessment:Assumptions of distribution type and sufficient numbers of species[J]. Environmental Toxicology and Chemistry, 2000, 19(2):508-515
Grist E P M, Leung K M Y, Wheeler J R, et al. Better Bootstrap estimation of hazardous concentration thresholds for aquatic assemblages[J]. Environmental Toxicology and Chemistry, 2002, 21(7):1515-1524
Killick R, Eckley I. Changepoint:An R package for changepoint analysis[J]. Journal of Statistical Software, 2014, 58(3):1-19
Wheeler J R, Grist E P M, Leung K M Y, et al. Species sensitivity distributions:Data and model choice[J]. Marine Pollution Bulletin, 2002, 45(1-12):192-202
United States Environmental Protection Agency. National Recommended Water Quality Criteria[R]. Washington DC:Office of Water, Office of Science and Technology, 2006
United States Environmental Protection Agency. National Recommended Water Quality Criteria[R]. Washington DC:Office of Water, Office of Science and Technology, 2009
Wong L C, Kwok K W H, Leung K M Y, et al. Relative sensitivity distribution of freshwater planktonic crustaceans to trace metals[J]. Human and Ecological Risk Assessment, 2009, 15(6):1335-1345
孔祥臻, 何伟, 秦宁, 等. 重金属对淡水生物生态风险的物种敏感度分布评估[J]. 中国环境科学, 2011, 31(9):1555-1562 Kong X Z, He W, Qin N, et al. Assessing acute ecological risks of heavy metals to freshwater organisms by species sensitivity distributions[J]. China Environmental Science, 2011, 31(9):1555-1562(in Chinese)
杜建国, 赵佳懿, 陈彬, 等. 应用物种敏感度分布评估重金属对海洋生物的生态风险[J]. 生态毒理学报, 2013, 8(4):561-570 Du J G, Zhao J Y, Chen B, et al. Assessing ecoloigical risks of heavy metals to marine organisms by species sensitivity distributions[J]. Asian Journal of Ecotoxicology, 2013, 8(4):561-570(in Chinese)
Levy J L, Stauber J L, Jolley D F. Sensitivity of marine microalgae to copper:The effect of biotic factors on copper adsorption and toxicity[J]. Science of the Total Environment, 2007, 387(1-3):141-154
Ankley G T, Bennett R S, Erickson R J, et al. Adverse outcome pathways:A conceptual framework to support ecotoxicology research and risk assessment[J]. Environmental Toxicology and Chemistry, 2010, 29(3):730-741
Wang Y, Na G S, Zong H M, et al. Applying adverse outcome pathways and species sensitivity-weighted distribution to predicted-no-effect concentration derivation and quantitative ecological risk assessment for bisphenol A and 4-nonylphenol in aquatic environments:A case study on Tianjin City, China[J]. Environmental Toxicology and Chemistry, 2018, 37(2):551-562
Maltby L, Blake N, Brock T C M, et al. Insecticide species sensitivity distributions:Importance of test species selection and relevance to aquatic ecosystems[J]. Environmental Toxicology and Chemistry, 2005, 24(2):379-388
Zhang L M, Wei C D, Zhang H, et al. Criteria for assessing the ecological risk of nonylphenol for aquatic life in Chinese surface fresh water[J]. Chemosphere, 2017, 184:569-574