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journal article May 13, 2019

Inference of biogeographic history by formally integrating distinct lines of evidence: genetic, environmental niche and fossil

Sean Hoban ORCID Andria Dawson John D. Robinson Adam B Smith ORCID Allan E. Strand
Ecography Vol. 42 No. 12 pp. 1991-2011 · Wiley
View at Publisher Save 10.1111/ecog.04327
Abstract
A primary focus of historical biogeography is to understand changes in species ranges, abundance and genetic connectivity, and changes in community composition. Traditionally, biogeographic inference has relied on distinct lines of evidence, including DNA sequences, fossils and hindcasted ecological niche models. In this review we propose that the development of integrative modeling approaches that leverage multiple distinct data types from diverse disciplines has the potential to revolutionize the field of biogeography. Although each data type contains information on a distinct aspect of species’ biogeographic histories, few studies formally integrate multiple types in analysis. For example, post hoc congruence among analyses based on different data types (e.g. fossils and genetics) is commonly assumed to indicate likely biogeographic histories. Unfortunately, analyses of different data often reach discordant conclusions. Thus, fundamental and unresolved debates continue regarding speed and timing of postglacial migration, location and size of glacial refugia, and degree of long distance dispersal. Formal statistical integration can help address these issues. More specifically, formal integration can leverage all available evidence, account for inherent biases associated with different data types, and quantify data and process uncertainty. Novel, quantitative integration of data and models across fields is now possible due to recent advances in cyberinfrastructure, spatial modeling, online and aggregated ecological databases, data processing and quantitative methods. Our purpose is to make the case for and give examples of rigorous integration of genetic, fossil and environmental/occurrence data for inferring biogeographic history. In particular, we 1) review the need for such a framework; 2) explain common data types and approaches used to infer biogeographic history (and the challenges with each); 3) review state‐of‐the‐art examples of data integration in biogeography; 4) lay out a series of novel, suggested improvements on current methods; and 5) provide an outlook on technical feasibility and future opportunities.
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Showing 50 of 188 references

Metrics
25
Citations
188
References
Details
Published
May 13, 2019
Vol/Issue
42(12)
Pages
1991-2011
License
View
Authors
S
Sean Hoban

Center for Tree Science, The Morton Arboretum Lisle IL 60532 USA

A
Andria Dawson

Dept of General Education, Mount Royal Univ Calgary AB Canada

J
John D. Robinson

Dept of Fisheries and Wildlife, Michigan State Univ East Lansing MI USA

A
Adam B Smith

Center for Conservation and Sustainable Development, Missouri Botanical Garden Saint Louis MO USA

A
Allan E. Strand

Grice Marine Laboratory, Dept of Biology, College of Charleston Charleston SC USA

Cite This Article
Sean Hoban, Andria Dawson, John D. Robinson, et al. (2019). Inference of biogeographic history by formally integrating distinct lines of evidence: genetic, environmental niche and fossil. Ecography, 42(12), 1991-2011. https://doi.org/10.1111/ecog.04327
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