Data Integration for Large-Scale Models of Species Distributions

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

Year of Publication
2020
Journal
Trends in Ecology and Evolution
Volume
35
Issue
1
Number of Pages
56-67,
Date Published
01/2020
ISBN Number
0169-5347
URL
DOI
https://doi.org/10.1016/j.tree.2019.08.006
Research themes