Data Integration for Large-Scale Models of Species Distributions
Peer reviewed, Journal article
Published version
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Åpne
Permanent lenke
https://hdl.handle.net/11250/2732344Utgivelsesdato
2019Metadata
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- Institutt for matematiske fag [2446]
- Publikasjoner fra CRIStin - NTNU [38062]
Originalversjon
10.1016/j.tree.2019.08.006Sammendrag
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.