Related Experiment Video
Updated: Jun 23, 2026

Bioindication Testing of Stream Environment Suitability for Young Freshwater Pearl Mussels Using In Situ Exposure Methods
Published on: September 5, 2018
Empirical estimation of biota exposure range for calculation of bioaccumulation parameters
Aroon R Melwani1, Ben K Greenfield, Earl R Byron
1San Francisco Estuary Institute, 7770 Pardee Lane, 2nd Floor, Oakland, California 94621, USA. aroon@sfei.org
Abstract:
Bioaccumulation factors (BAFs) and biota-sediment accumulation factors (BSAFs) are frequently used to predict contaminant bioaccumulation in risk assessments. Development of these parameters is often hindered by uncertainty regarding the spatial scale of contaminant transfer from sediments to biota. We present a simple statistical method for optimizing bioaccumulation parameters (BAF and BSAF) in aquatic species, such as fish, whose exposure history may occur over broad spatial scales. For 6 finfish species sampled in San Francisco Bay, San Diego Bay, or the Southern California Bight, California, USA, the spatial scale of correlation was optimized using regression analysis. The ranges identified for pairing biota and sediment observations generally corresponded to the known life histories of the species and with laboratory tests comparing relationships observed for 28-d Macoma spp. This procedure may be useful for identifying appropriate species and spatial scales to predict bioaccumulation and for developing data sets of corresponding sediment and tissue residues.
More Related Videos
Related Concept Videos
Measurement of Bioavailability: Pharmacokinetic Methods
Toxicity Testing in Animals
Dosage Regimens: Partial Pharmacokinetic Parameters
Testing a Claim about Mean: Known Population SD
Estimating a population mean requires the samples to be distributed normally. The data should be collected from the randomly selected samples having no sampling bias. The sample size needed to be higher than 30, and most importantly, the population standard deviation should be already known.
In most realistic situations, the population standard deviation is often unknown, but in rare circumstances, when it...
Bioequivalence Data: Statistical Interpretation
Bioavailability Study Design: Single Versus Multiple Dose Studies

