Towards a genetic theory of island biogeography: Inferring processes from multidimensional community‐scale data. Issue 1 (5th November 2022)

• Record Type: Journal Article
• Authors: Overcast, Isaac; Achaz, Guillaume; Aguilée, Robin; Andújar, Carmelo; Arribas, Paula; Creedy, Thomas J.; Economo, Evan P.; Etienne, Rampal S.; Gillespie, Rosemary; Jacquet, Claire; Jay, Flora; Kennedy, Susan; Krehenwinkel, Henrik; Lambert, Amaury; Meramveliotakis, Emmanouil; Noguerales, Víctor; Perez‐Lamarque, Benoit; Roderick, George; Rogers, Haldre; Ruffley, Megan; Sanmartin, Isabel; Vogler, Alfried P.; Papadopoulou, Anna; Emerson, Brent C.; Morlon, Hélène
• Is Part Of: Global ecology & biogeography. Volume 32:Issue 1(2023)
• Page Start: 4
• Page End: 23
• Publication Date: 2022-11-05
• Subjects: biodiversity dynamics -- community ecology -- community genetic diversity -- metabarcoding -- metagenomics -- population genetics -- stochastic biodiversity models; Ecology -- Periodicals; Biogeography -- Periodicals; Biodiversity -- Periodicals; Macroevolution -- Periodicals; 577
• DOI: 10.1111/geb.13604
• Languages: English
• ISSNs: 1466-822X

Abstract

Abstract: Background: MacArthur and Wilson's theory of island biogeography has been a foundation for obtaining testable predictions from models of community assembly and for developing models that integrate across scales and disciplines. Historically, however, these developments have focused on integration across ecological and macroevolutionary scales and on predicting patterns of species richness, abundance distributions, trait data and/or phylogenies. The distribution of genetic variation across species within a community is an emerging pattern that contains signatures of past population histories, which might provide an historical lens for the study of contemporary communities. As intraspecific genetic diversity data become increasingly available at the scale of entire communities, there is an opportunity to integrate microevolutionary processes into our models, moving towards development of a genetic theory of island biogeography. Motivation/goal: We aim to promote the development of process‐based biodiversity models that predict community genetic diversity patterns together with other community‐scale patterns. To this end, we review models of ecological, microevolutionary and macroevolutionary processes that are best suited to the creation of unified models, and the patterns that these predict. We then discuss ongoing and potential future efforts to unify models operating at different organizational levels, with the goal of predicting multidimensional community‐scale data including a genetic component. Main conclusions: Our review of the literature shows that despite recent efforts, further methodological developments are needed, not only to incorporate the genetic component into existing island biogeography models, but also to unify processes across scales of biological organization. To catalyse these developments, we outline two potential ways forward, adopting either a top‐down or a bottom‐up approach. Finally, we highlight key ecological and evolutionary questions that might be addressed by unified models including a genetic component and establish hypotheses about how processes across scales might impact patterns of community genetic diversity.