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UCL

Integrating Environmental DNA into National Biodiversity Datasets to Explain Drivers of Biodiversity Loss

University College London Department of Genetics, Evolution and Environment
✓ Fully Funded 🎓 Ecology 🎓 Environmental Science 🎓 Statistics bioinformatics data science ecology citizen science environmental dna biodiversity monitoring statistical modelling autonomous monitoring

Explore how environmental DNA can transform biodiversity monitoring by integrating it with traditional data sources. Investigate data coverage and ecological responses to improve ecosystem health assessment across spatial and temporal scales.

AI-generated overview

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Why This Research Matters

This research addresses critical gaps in biodiversity monitoring by incorporating environmental DNA data, thus providing a more comprehensive understanding of ecosystem function and resilience. This improved knowledge supports conservation strategies to combat global biodiversity loss driven by human activities.

Molecular Ecology

Project Description

Project Overview

Biodiversity monitoring is crucial for understanding ecological responses to disturbance and progress towards conservation targets. Existing biodiversity data focus primarily on charismatic species, limiting our view of ecosystem health. This project explores environmental DNA (eDNA) as a complementary tool to enhance biodiversity datasets, using joint modelling of observation and DNA-based data across spatial and temporal scales.

What You Will Do

You will investigate airborne eDNA data from air quality networks and combine this with autonomous monitoring systems, while also exploring open source eDNA datasets. Research focus areas include assessing data coverage and uncertainties, evaluating ecological perturbation responses, and using eDNA to assess progress towards biodiversity targets. You will develop skills in data handling, statistical modelling, and gain knowledge of diverse biodiversity data types.

Expected Outcomes

The project will improve understanding of broad-scale biodiversity trends by integrating multiple data sources. It will provide new insights into ecosystem health at underrepresented trophic levels and inform conservation efforts. The student will gain advanced quantitative ecological skills valuable for research, governmental, NGO, or industry roles.

Why This Matters

Biodiversity loss is a pressing global issue driven by human activities. Current monitoring is biased towards vertebrates, missing important ecosystem components. Using eDNA to fill these gaps provides a more comprehensive picture of biodiversity, aiding efforts to meet conservation targets and maintain ecosystem resilience.

Entry Requirements

Open to students from interdisciplinary backgrounds such as ecology, environmental science, quantitative/computational ecology, data science, AI, or mathematics. Candidates from ecology must have experience or interest in big datasets/statistical modelling. Candidates from data science or mathematics must have experience or interest in ecological questions.

How to Apply

Apply in two stages: 1) Complete the UCL GEE application process selecting admission in October 2026, and 2) Email your CV and motivation statement to Dr Joanne Littlefair at j.littlefair@ucl.ac.uk with the subject 'Environmental DNA for biodiversity data PhD studentship'. The motivation statement should include descriptions of up to two research projects, your pathway to this opportunity, and confirmation of UK home fee status eligibility.

Eligibility

UK/Home
EU
International

Supervisor Profile

DJ
Dr Joanne Littlefair
University College London, Department of Genetics, Evolution and Environment
1612 Citations
18 h-index
Google Scholar

Dr Joanne Littlefair is a molecular ecologist at University College London specializing in biodiversity monitoring using environmental DNA. Her research combines innovative molecular techniques with statistical modelling to study ecosystem health and function. She leads projects integrating airborne eDNA with autonomous monitoring systems, contributing to cutting-edge biodiversity data science.

Key Publications

2021 255 citations
Lake sedimentary DNA research on past terrestrial and aquatic biodiversity: Overview and recommendations
2022 202 citations
Measuring biodiversity from DNA in the air
2021 138 citations
eDNAir: proof of concept that animal DNA can be collected from air sampling
2021 134 citations
Thermal stratification and fish thermal preference explain vertical eDNA distributions in lakes
2021 113 citations
Assessment of current taxonomic assignment strategies for metabarcoding eukaryotes

Research Contributions

Development and validation of techniques to detect biodiversity using environmental DNA (eDNA) from multiple habitats including air and water.
Enables non-invasive biomonitoring of ecosystems and improves ecological data collection methods.
Analysis of spatial and temporal variation in eDNA distributions informed by species thermal preferences and environmental stratification.
Improves understanding of aquatic ecosystem structure and informs conservation strategies.
Assessment and optimization of taxonomic assignment methods for metabarcoding data.
Enhances accuracy of species identification in biodiversity studies, supporting ecological and evolutionary research.

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