WORK PACKAGE 3
What we set out to do
Species Distribution Modelling (SDM) quantitatively assesses the relationship between species and environmental data using a range of modelling frameworks to understand and predict the distribution of species in both current and future geographic space. Statisticians and ecologists at Aberystwyth University working with a Geographic Information System (GIS) and spatial analysis specialists at University College Cork are carrying out SDM on a range of datasets (including national surveys, citizen science projects, and telemetry data collected as part of the ECHOES project) for Eurasian Curlew and Greenland White-fronted Goose.
SDM offers insights into how the distributions of the two bird species vary across a range of geospatial variables. In addition, field survey data is being collected for both species including spatial information on their diet, enabling scientists to build SDMs that will tell us about the habitat preferences of these species along the coast. Factoring climate prediction scenarios and land cover change into the SDMs will help to establish how the spatial and temporal distributions of the species may be changing over a time period of several decades.
Lead: Aberystwyth University
Process and results
See below for presentation by Dr Kim Kenobi, Aberystwyth University, and Dr Paul Holloway, University College Cork, from the ECHOES Project Closure Conference held on 9 March 2023.
Poster showcasing the statistical distribution modelling work carried out by Dr Kim Kenobi, Dr Warren Read et al. This poster was presented at the British Ecological Society AGM in Edinburgh, December 2022.
See Research Publications to view other posters showcasing ECHOES research.
English (UK) 
Cymraeg