Key issues for the development and application of the species sensitivity distribution (SSD) model for ecological risk assessment

Ecological Indicators

Volumn 54, Issue , 2015, Pages 227-237

  Xu, Fu Liu ^a   Li, Yi Long ^a   Wang, Yin ^a   He, Wei ^a   Kong, Xiang Zhen ^a   Qin, Ning ^a   Liu, Wen Xiu ^a   Wu, Wen Jing ^a   Jorgensen, Sven Erik ^b  

^a PEKING UNIVERSITY   (China)

^b UNIVERSITY OF COPENHAGEN   (Denmark)

Author keywords

Best fit model; Data preprocessing; Ecological risk assessment; Species selection; Species sensitivity distribution model; Uncertainty analysis

Indexed keywords

AROMATIC COMPOUNDS; AROMATIC HYDROCARBONS; DATA HANDLING; ECOLOGY; HEAVY METALS; HYDROCARBONS; INTELLIGENT SYSTEMS; METADATA; MONTE CARLO METHODS; POLLUTION; POLYCYCLIC AROMATIC HYDROCARBONS; POPULATION DISTRIBUTION; TOXICITY; UNCERTAINTY ANALYSIS;

BEST-FIT MODELS; DATA PREPROCESSING; ECOLOGICAL RISK ASSESSMENT; SPECIES SELECTION; SPECIES SENSITIVITY DISTRIBUTIONS;

RISK ASSESSMENT;

CONCENTRATION (COMPOSITION); DATA PROCESSING; DATABASE; DDT; ECOTOXICOLOGY; HEAVY METAL; MONTE CARLO ANALYSIS; NUMERICAL MODEL; PAH; POLLUTANT PROPERTY; RISK ASSESSMENT; SPECIES OCCURRENCE; UNCERTAINTY ANALYSIS;

INVERTEBRATA;

EID: 84925385279     PISSN: 1470160X     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.ecolind.2015.02.001     Document Type: Article

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