Home > Research > Researchers > Alex Bush

Current Postgraduate Research Students

Alex Bush supervises 5 postgraduate research students. If these students have produced research profiles, these are listed below:

Student research profiles

Show all »

View graph of relations

Dr Alex Bush

Lectureship in Environmental Remote Sensing

LEC Building



Tel: +44 1524 594368


Alex is lecturer of environmental remote sensing at Lancaster University, specialising in ecological modelling for monitoring, managing and conserving biodiversity at macroecologcial scales. He holds degrees from the University of East Anglia and Macquarie University in Sydney, and he subsequently took research fellowships with the Australian and Canadian governments. Alex’s interests are in methods and models that will support up to date ecological monitoring at national scales, that will guide and improve the sustainability of ecosystems as a whole, and that reduce the rate of biodiversity loss from our landscapes.

Research Interests

Remote sensing imagery from drones, planes and satellites provide us with a rich picture of the landscape, but the majority of biodiversity is still invisible from above. To connect our maps to the invisible components of ecosystem condition, we need to calibrate that imagery to detailed ecological information on the ground. Alex is currently exploring the value of high-throughput DNA sequencing to describe the complexity of diverse ecosystems, and how those communities are related to successful management of functions and services at multiple landscape scales.

Another theme of Alex's research explores the resilience and adaptive capacity of ecological systems, in particular to climate change. How individuals, populations, species and whole communities will respond to climate change is still highly uncertain and we are developing methods to explore those possibilities.

  • Evaluating the spatial and temporal scaling of diverse communities and how changes impact ecosystem functions and services.
  • Assessing the power of DNA metabarcoding as a tool for monitoring sustainable agricultural management.
  • Development and applying new statistical models to understand the capacity of biodiversity to adapt to climate change.

View all (31) »