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Department of Zoology

 

I am currently working on several projects:

1) Collaborating with the Department of Computer Science and Technology to develop Artificial Intelligence (AI) technologies to streamline the collation of evidence from published and grey literature to better inform conservation action. Additionally, I am focused on co-designing AI tools which will allow decision makers to interact with evidence in an intuitive way.

2) Following my recent publication in Trends in Ecology and Evolution, ‘The potential for AI to revolutionize conservation: a horizon scan’ I am aiming to further explore this space between cutting edge AI and conservation science/practice.

3) Co-designing a prototype of the first comprehensive and centralised repository for compiling and sharing evidence on invasive species management actions;

4) The application of a novel method of evidence synthesis termed ‘dynamic meta-analysis’ to better understand the effectiveness of invasive species management. Outcomes of this work were presented in Science magazine, for which I was interviewed - China battles alien marsh grass at unprecedented scale;

Publications

Key publications: 

Madahavapeddy, A., Reynolds, S. A. … Crowcroft, J. (2025) Steps towards an Ecology for the Internet. Aarhus Conference, Computing through Crisis. (Accepted)

Reynolds, S. A. et al., (2025) Conservation changed but not divided. Trends in Ecology and Evolution. https://doi.org/10.1016/j.tree.2025.04.002

Reynolds, S. A. et al., (2025) The potential for AI to revolutionise conservation: a horizon scan. Trends in Ecology and Evolution. https://doi.org/10.1016/j.tree.2024.11.013 

Iyer, R., Christie, A., Madhavapeddy, A., Reynolds, S. A., Sutherland, W. J., Jaffer, S. (2024) Can Large Language Models facilitate evidence-based decision support for conservation? doi.org/10.21203/rs.3.rs-5409185/v1 (Accepted at PlosOne)

V. Cutts, V., Berthinussen, A., S. A. Reynolds …Sutherland, W. J. (2024) Eel Conservation in Inland Habitats. Conservation Evidence Series Synopsis (https://www.conservationevidence.com/synopsis/pdf/39)

Reynolds, S. A. et al., (2023) Spartina invasive management – a review of evidence. OSF Preprint https://doi.org/10.17605/OSF.IO/3BWZX - Presented to Chinese Government and featured in Science magazine.

Reynolds, S. A. and Smith, K. (2022) Gambusia spp. Management Measures and Cost Note. Published by IUCN.

Brian, J.I., Reynolds, S.A. and Aldridge, D.C., (2022). Parasitism dramatically alters the ecosystem services provided by freshwater mussels. Functional Ecology. DOI 10.1111/1365-2435.14092

Reynolds, S.A. and Aldridge, D.C., (2021). Global impacts of invasive species on the tipping points of shallow lakes. Global Change Biology, 27(23), pp.6129-6138. DOI: 10.1111/gcb.15893

Reynolds, S.A. and Aldridge, D.C., (2021). Impacts of invasive quagga mussels (Dreissena rostriformis bugensis) on reservoir water quality, as revealed by progressive-change BACIPS analysis. Water Research, 197, p.117105. DOI: 10.1016/j.watres.2021.117105

Reynolds, S.A. and Aldridge, D.C., (2021). Embracing the Allelopathic Potential of Invasive Aquatic Plants to Manipulate Freshwater Ecosystems. Frontiers in Environmental Science, 8, p.551803. DOI: 10.3389/fenvs.2020.551803

Reynolds, S.A., Davey, M.P. and Aldridge, D.C., (2019). Harnessing Synthetic Ecology for commercial algae production. Scientific reports, 9(1), pp.1-9. DOI: 10.1038/s41598-019-46135-6

Supervisions

Research supervision: 

Conservation Science