UCL Division of Biosciences


Lea Irene Dambly


Modelling the drivers of population change in bats

Modelling the drivers of population change in bats

Current Research

Bats are great indicators of habitat quality and climate change because of their provision of ecosystem services. In Great Britain, bats have been systematically monitored since 1996 as part of the National Bat Monitoring Program (NBMP), which is a citizen science programme created by the Bat Conservation Trust (BCT). While the data has been successfully used to produce population trends for most of the native bat species, some methodical issues remain unsolved, specifically around the reliability of roost count data. My work has focused on investigating the biases that affect bat roost count data. I am also working on the integration of different types of data (such as occupancy and abundance) to predict spatial distributions of bat species in Great Britain.




Selected Publications 


Dambly, L. I., Jones, K.E., Boughey, K. & Isaac, N. J. B. (in press). Observer retention, site selection and population dynamics interact to bias abundance trends in bats. Journal of Applied Ecology.

Dambly, L. (2020). LeaDambly/bat_observer: Bat observer (Version v1.0). Zenodo. 

Isaac, N. J., Jarzyna, M. A., Keil, P., Dambly, L. I., Boersch-Supan, P. H., Browning, E., ... & Jarvis, S. (2020). Data integration for large-scale models of species distributions. Trends in ecology & evolution, 35(1), 56-67.

Dambly, L., O'Hara, B. & Golding, N. (2019). oharar/IM_warbler: Integrated analysis of black-throated blue warbler data from PA, USA (Version 1.0.1). Zenodo. 

Brief CV

YearsPositionInstitution name and location (country)
2017 – presentPhD candidate (NERC CASE studentship)UCL, the Centre for Ecology and Hydrology and the Bat Conservation Trust
2016-2017MRes Advanced Biological Sciences (Conservation Biology)University of Liverpool
2013-2016BSc (Hons) Animal BehaviourManchester Metropolitan University