Intraspecific diversity is critical to population-level risk assessments

Environmental risk assessment (ERA) is a critical tool for protecting life and its effectiveness is predicated on predicting how natural populations respond to contaminants. Yet, routine toxicity testing typically examines only one genotype from surrogate species, which may render risk assessments inaccurate as populations are most often composed of genetically distinct individuals. To determine the importance of intraspecific variation in the translation of toxicity testing to populations, we quantified the magnitude of phenotypic variation within 20 Daphnia magna clones derived from one lake. We repeated these assays across two exposure levels of microcystins, a cosmopolitan and lethal aquatic contaminant produced by harmful algal blooms. We found considerable intraspecific genetic variation in survival, growth, and reproduction, which was amplified by microcystins exposure. Using simulations, we demonstrate that the common practice of employing a single genotype to calculate toxicity..., , , # Data from: Intraspecific diversity is critical to population-level risk assessments

This dataset is associated with the manuscript: **Intraspecific diversity is critical to population-level risk assessments**
DOI: [https://doi.org/10.5061/dryad.5tb2rbpck](https://doi.org/10.5061/dryad.5tb2rbpck)

## General Description

This dataset contains the raw and processed data, as well as the R scripts necessary to reproduce the statistical analyses and figures presented in the manuscript. The data pertain to phenotypic and genomic variation in *Daphnia*, analyzed under different experimental treatments.

## File Structure

The dataset includes:

* **Eight CSV files** containing phenotypic and genomic data
* **Two R script files** used for statistical analyses and figure generation
* **This README file** describing the dataset and its contents

## Data Files and Descriptions

Each CSV file is structured in a tabular format with proper headings, including relevant variables such as clone ID, t...