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With a background in Ecology and Conservation, and growing experience in Meteorology, I’m an interdisciplinary scientist interested in ecological forecasting. I’ve developed mechanistic models relating elephant population dynamics to environmental change (PhD) and have modelled soil moisture across Africa to support agricultural and humanitarian activities. I'm currently a NERC Knowledge Exchange Fellow exploring the use of drought forecasts to mitigate human-elephant conflict in Kenya.
January 2019 - April 2021
- PostDoc Position
- I am a Research Scientist and Knowledge Exchange Lead within the TAMSAT research group (http://www.tamsat.org.uk/). My work focuses on the TAMSAT-ALERT drought forecasting tool, evaluating its suitability for humanitarian and agricultural decision-making, operationally producing forecasts for users across Africa, and delivering tailored training for those interested in drought forecast information.
March 2016 - March 2018
- Operation Wallacea facilitate research opportunities for students worldwide. I supervised student projects focused on the behavioural implications of vasectomies in male elephants and the impact of elephant foraging on vegetation . I was responsible for: preparing project proposals with students; training field data collection methods and analysis; logistical management of fieldwork; first aid; a lecture series on African biodiversity. I supervised 14 students over two field seasons.
September 2015 - December 2018
- Student Demonstrator
- As student demonstrator, I supported in the delivery of practical lab and field learning experiences for undergraduate students. I supported on Animal Behaviour, Ecology and Behaviour and Mathematics for Biologists modules. Further, I led Biology Practical Sessions for Foundation Biology students and GIS for Ecologists for MSc students. I was also an International Foundation Programme Tutor.
Commentary on "Environment and physiology shape Arctic ungulate population dynamics" Climate change, the conversion of natural landscapes, anthropogenic exploitation, pollution and invasive species have caused global declines in biodiversity (Díaz et al., 2019), with the impacts of climate change expected to intensify throughout the 21st century (...
Reliable information on the likelihood of drought is of crucial importance in agricultural planning and humanitarian decision-making. Acting based upon probabilistic forecasts of drought, rather than responding to prevailing drought conditions, has the potential to save lives, livelihoods and resources, but is accompanied by the risk of acting in v...
Open access link til Nov 13th: https://authors.elsevier.com/a/1XnGs15DJ~tY1P Strategies for the conservation and management of many wild species requires an improved understanding of how population dynamics respond to changes in environmental conditions, including key drivers such as food availability. The development of mechanistic predictive mod...
The lives and livelihoods of people around the world are increasingly threatened by climate-related risks as climate change increases the frequency and severity of high-impact weather. In turn, the risk of multiple hazards occurring simultaneously grows and compound impacts become more likely. The World Meteorological Organization (WMO) proposed th...
This paper identifies fundamental issues which prevent the effective uptake of climate information services in Nigeria. We propose solutions which involve the extension of short-range (1 to 5 days) forecasts beyond that of medium-range (7 to 15 days) timescales through the operational use of current forecast data as well as improve collaboration an...
Forecasts on sub-seasonal to seasonal (S2S) timescales have huge potential to aid preparedness and disaster risk reduction planning decisions in a variety of sectors. However, realising this potential depends on the provision of reliable information that can be appropriately applied in the decision-making context of users. This study describes the...
Animal populations will mediate the response of global biodiversity to environmental changes. Population models are thus important tools for both understanding and predicting animal responses to uncertain future conditions. Most approaches, however, are correlative and ignore the individual level mechanisms that give rise to population dynamics. He...
Global ecosystem change presents a major challenge to biodiversity conservation, which must identify and prioritize the most critical threats to species persistence given limited available funding. Mechanistic models enable robust predictions under future conditions and can consider multiple stressors in combination. Here we use an individual‐based...
The ability of animals to adapt to their changing environment will depend in part on shifts in their ranging patterns, but when and why individuals choose to move requires detailed understanding of their decision-making processes. We develop a simple decision-making model accounting for resource availability in habitually used ranges. We suggest th...
Elephant populations in South Africa are largely confined to fenced reserves and therefore require continued management to prevent high elephant densities that may cause habitat degradation. Growing human populations surrounding these reserves limit the possibility for wildlife range expansion, adding socio-economic considerations to the growing li...