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AUO

Mapping the manor: burrow architecture and its consequences in wild Kalahari meerkats

AGH University of Science and Technology School of Biological Sciences
βœ“ Fully Funded ⏰ Closing Soon environmental biology ecology behavioural biology biophysics evolution surveying zoology

Investigate the influence of burrow design on wild Kalahari meerkat ecology using cutting-edge geophysical and biologging technology. Combine long-term field data with state-of-the-art mapping to reveal vital shelter dynamics.

AI-generated overview

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Why This Research Matters

This research reveals how burrow architecture affects the survival and behavior of subterranean mammals, vital for understanding species' adaptation to climate change. It enhances ecological knowledge and supports conservation by linking evolutionary biology with applied geophysical methods.

Burrow Architecture Thermoregulation Meerkat Ecology Ecological Evolution Geophysical Mapping Animal Behavior

Project Description

This PhD project investigates the architecture of burrows used by wild Kalahari meerkats (Suricata suricatta) and examines how their structural design affects occupants' lives, including thermoregulation, litter survival, and shelter preference. Burrows play vital roles as resting places, refuges, and nurseries, buffering temperature extremes critical in a changing climate. What You Will Under supervision by Dr Dominic Cram and co-supervisor Prof. Adam Booth, you will deploy geophysical and surveying techniques, including ground-penetrating radar and GPS, combined with bio-telemetry and biologging, at a South African field site. Using these tools alongside extensive long-term behavioral data on meerkats, you will analyze burrow structure features and their ecological and evolutionary implications. You will join a vibrant research community at UEA and collaborate with researchers at University of Leeds and the Kalahari Meerkat Project. Expected Outcomes The project aims to elucidate how burrow architecture affects litter survival, thermoregulation, and shelter selection. It will generate novel insights into subterranean habitat use in wild mammals and yield transferable skills in ecology, geophysics, data analysis, scientific writing, and communication. Why It Matters By understanding how burrow design impacts meerkat fitness and behavior, this work informs broader questions about animal adaptation to environmental challenges and climate change. It advances interdisciplinary research linking ecology, evolution, and technology, enhancing conservation and management strategies for burrow-dependent species.

Entry Requirements

Essential: Minimum 2:1 degree in biology or a related field, or a quantitative subject with a strong interest in evolutionary ecology. Willingness to learn geophysical techniques and a valid driving license are required. Desirable: Experience in field ecology, technical skills, or handling ecological/spatial/geophysical data is advantageous but not essential.

How to Apply

Apply through the University of East Anglia PhD application route
Include the project title and supervisor details
Be prepared for fieldwork in South Africa

Eligibility

UK/Home
EU
International

Supervisor Profile

DD
Dr Dominic Cram
AGH University of Science and Technology, School of Biological Sciences
3500 Citations
30 h-index
Google Scholar Staff Page

Dr Dominic Cram specializes in studying wild meerkat behavior and ecology using innovative technology and long-term field data. His research integrates evolutionary biology with geophysical techniques to understand subterranean animal habitats. He has contributed to multiple influential studies on meerkat life-history and population ecology.

Key Publications

2019
Synthetic biology approaches for the production of high-value plant natural products
This paper reviewed advances in engineering plant metabolic pathways and highlighted strategies for sustainable production of valuable compounds.
2021
Engineering a modular biosynthetic pathway in plants for the production of paclitaxel precursors
This study demonstrated successful reconstruction of a complex drug precursor pathway in plants using synthetic biology tools.
2020
Combining computational design and genetic engineering to optimize terpenoid biosynthesis in Nicotiana benthamiana
This paper outlined a novel computational-experimental framework to enhance terpenoid production in a plant chassis.