Fiona Plenderleith
BSc, MSc, PhD
We use some essential cookies to make this website work.
We’d like to set additional cookies to understand how you use forestresearch.gov.uk, remember your settings and improve our services.
We also use cookies set by other sites to help us deliver content from their services.
BSc, MSc, PhD
Fiona is an ecologist with an interest in woodland connectivity. She is particularly interested in exploring how species disperse through different features of the landscape (e.g. dispersal through newly created woodlands). Her research uses data on species movement (obtained through tracking or landscape genetics) and spatial modelling tools to assess functional connectivity.
Prior to joining the LUES team she completed her PhD at the James Hutton Institute and University of Aberdeen (2023) which investigated the impacts of ash dieback for the connectivity of ash-associated insects and used spatial modelling to explore options for increasing connectivity between existing woodlands.
ResearchGate: Fiona Plenderleith
Plenderleith, F.A., Palmer, S.C., Travis, J.M., Lancaster, L.T., Stockan, J.A. and Mitchell, R.J., 2022. The consequences of tree disease and pre-emptive felling on functional and genetic connectivity for woodland invertebrates. Ecological Informatics, 72, p.101820.
Plenderleith, F.A., Irrazabal, V.A., Burslem, D.F., Travis, J.M. and Powell, P.A., 2022. Predicting spatially heterogeneous invasive spread: Pyracantha angustifolia invading a dry Andean valley in northern Argentina. Biological Invasions, 24(7), pp.2201-2216.
Hearn, J., Plenderleith, F. and Little, T.J., 2021. DNA methylation differs extensively between strains of the same geographical origin and changes with age in Daphnia magna. Epigenetics & Chromatin, 14, pp.1-14.
Cookies are files saved on your phone, tablet or computer when you visit a website.
We use cookies to store information about how you use the dwi.gov.uk website, such as the pages you visit.
Find out more about cookies on forestresearch.gov.uk
We use 3 types of cookie. You can choose which cookies you're happy for us to use.
These essential cookies do things like remember your progress through a form. They always need to be on.
We use Google Analytics to measure how you use the website so we can improve it based on user needs. Google Analytics sets cookies that store anonymised information about: how you got to the site the pages you visit on forestresearch.gov.uk and how long you spend on each page what you click on while you're visiting the site
Some forestresearch.gov.uk pages may contain content from other sites, like YouTube or Flickr, which may set their own cookies. These sites are sometimes called ‘third party’ services. This tells us how many people are seeing the content and whether it’s useful.