Data Integration for Large-Scale Models of Species Distributions

Nick J B Isaac; Marta A Jarzyna; Petr Keil; Lea I Dambly; Philipp H Boersch-Supan; Ella Browning; Stephen N Freeman; Nick Golding; Gurutzeta Guillera-Arroita; Peter A Henrys; Susan Jarvis; José Lahoz-Monfort; Jörn Pagel; Oliver L Pescott; Reto Schmucki; Emily G Simmonds; Robert B O'Hara

doi:10.1016/j.tree.2019.08.006

Data Integration for Large-Scale Models of Species Distributions

Trends Ecol Evol. 2020 Jan;35(1):56-67. doi: 10.1016/j.tree.2019.08.006. Epub 2019 Oct 30.

Authors

Nick J B Isaac¹, Marta A Jarzyna², Petr Keil³, Lea I Dambly⁴, Philipp H Boersch-Supan⁵, Ella Browning⁶, Stephen N Freeman⁷, Nick Golding⁸, Gurutzeta Guillera-Arroita⁸, Peter A Henrys⁹, Susan Jarvis⁹, José Lahoz-Monfort⁸, Jörn Pagel¹⁰, Oliver L Pescott⁷, Reto Schmucki⁷, Emily G Simmonds¹¹, Robert B O'Hara¹¹

Affiliations

¹ Centre for Ecology and Hydrology, Benson Lane, Crowmarsh Gifford, Wallingford, OX10 8BB, UK; Centre for Biodiversity and Environment Research, Department of Genetics, Evolution and Environment, University College London, London, WC1E 6BT, UK. Electronic address: [email protected].
² Department of Evolution, Ecology, and Organismal Biology, The Ohio State University, Columbus, OH 43210, USA.
³ German Centre for Integrative Biodiversity Research (iDiv), Halle-Jena-Leipzig, 04103 Leipzig, Germany; Institute of Computer Science, Martin Luther University Halle-Wittenberg, 06120, Halle (Saale), Germany.
⁴ Centre for Ecology and Hydrology, Benson Lane, Crowmarsh Gifford, Wallingford, OX10 8BB, UK; Centre for Biodiversity and Environment Research, Department of Genetics, Evolution and Environment, University College London, London, WC1E 6BT, UK.
⁵ British Trust for Ornithology, Thetford, IP24 2PU, UK; Department of Geography, University of Florida, Gainesville, FL 32611, USA.
⁶ Centre for Biodiversity and Environment Research, Department of Genetics, Evolution and Environment, University College London, London, WC1E 6BT, UK; Institute of Zoology, Zoological Society of London, London, NW1 4RY, UK.
⁷ Centre for Ecology and Hydrology, Benson Lane, Crowmarsh Gifford, Wallingford, OX10 8BB, UK.
⁸ School of BioSciences, University of Melbourne, Parkville, VIC 3010, Australia.
⁹ Centre for Ecology and Hydrology, Bailrigg, Lancaster, LA1 4AP, UK.
¹⁰ Institute of Landscape and Plant Ecology, University of Hohenheim, 70599 Stuttgart, Germany.
¹¹ Department of Mathematical Sciences, Centre for Biodiversity Dynamics, Norwegian University of Science and Technology, N-7491 Trondheim, Norway.

PMID: 31676190
DOI: 10.1016/j.tree.2019.08.006

Abstract

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.

Keywords: citizen science; integrated distribution model; occupancy model; point process; species distribution model; state-space model.

Publication types

Research Support, Non-U.S. Gov't
Review

MeSH terms

Biodiversity*
Ecology*
Models, Theoretical