TerraSSD

This web tool is based on the works below:

Camargo, L.S.; Natal-da-Luz, T.; Niemeyer, J.C.; Alexandre, D.; Oliveira Filho, L.C.I.D.; Pieper, S.; Ramos, F.; Leston, S.; Klauberg-Filho, O.; Sousa, J.P. Filling Data Gaps in Soil Environmental Risk Assessment (ERA): Species Sensitivity Distribution (SSD) and Regulatory Challenges for in-Soil Invertebrates Exposed to Chlorothalonil and Chlorpyrifos. Environmental Research 2026, 300, 124391. [ link ]
Lavado, G.J.; Baderna, D.; Carnesecchi, E.; Toropova, A.P.; Toropov, A.A.; Dorne, J.L.C.M.; Benfenati, E. QSAR Models for Soil Ecotoxicity: Development and Validation of Models to Predict Reproductive Toxicity of Organic Chemicals in the Collembola Folsomia Candida. Journal of Hazardous Materials 2022, 423, 127236. [ link ]
Raimondo, S.; Barron, M.G. Application of Interspecies Correlation Estimation (ICE) Models and QSAR in Estimating Species Sensitivity to Pesticides. SAR and QSAR in Environmental Research 2020, 31, 1–18. [ link ]
Owsianiak, M.; Hauschild, M.Z.; Posthuma, L.; Saouter, E.; Vijver, M.G.; Backhaus, T.; Douziech, M.; Schlekat, T.; Fantke, P. Ecotoxicity Characterization of Chemicals: Global Recommendations and Implementation in USEtox. Chemosphere 2023, 310, 136807. [ link ]

To help EF practitioners assess the reliability of the data, a quality score (QS) is associated with each HC.

QS = ln(species) × ln(taxonomic groups) × 1 / (1 + extrapolations)^0.1

0 ≤ QS < 1.48 → LOW QUALITY
1.48 ≤ QS < 1.77 → INTERMEDIATE QUALITY
QS ≥ 1.77 → HIGH QUALITY

This work received funding from European Union's Horizon research and innovation programmes via the AlChemiSSts project under grant agreement number 101178074 and via the MELOMANES project under grant agreement number 101073025.