School of BioSciences - Research Publications

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    Data Integration for Large-Scale Models of Species Distributions
    Isaac, NJB ; Jarzyna, MA ; Keil, P ; Dambly, LI ; Boersch-Supan, PH ; Browning, E ; Freeman, SN ; Golding, N ; Guillera-Arroita, G ; Henrys, PA ; Jarvis, S ; Lahoz-Monfort, J ; Pagel, J ; Pescott, OL ; Schmucki, R ; Simmonds, EG ; O'Hara, RB (ELSEVIER SCIENCE LONDON, 2020-01)
    With the expansion in the quantity and types of biodiversity data being collected, there is a need to find ways to combine these different sources to provide cohesive summaries of species' potential and realized distributions in space and time. Recently, model-based data integration has emerged as a means to achieve this by combining datasets in ways that retain the strengths of each. We describe a flexible approach to data integration using point process models, which provide a convenient way to translate across ecological currencies. We highlight recent examples of large-scale ecological models based on data integration and outline the conceptual and technical challenges and opportunities that arise.