Process-explicit models reveal the structure and dynamics of biodiversity patterns

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dc.contributor.authorPilowsky, J.A.
dc.contributor.authorColwell, R.K.
dc.contributor.authorRahbek, C.
dc.contributor.authorFordham, D.A.
dc.date.issued2022
dc.description.abstractWith ever-growing data availability and computational power at our disposal, we now have the capacity to use process-explicit models more widely to reveal the ecological and evolutionary mechanisms responsible for spa-tiotemporal patterns of biodiversity. Most research questions focused on the distribution of diversity cannot be answered experimentally, because many important environmental drivers and biological constraints operate at large spatiotemporal scales. However, we can encode proposed mechanisms into models, observe the patterns they produce in virtual environments, and validate these patterns against real-world data or theoretical expectations. This approach can advance understanding of generalizable mechanisms responsible for the distributions of organisms, communities, and ecosystems in space and time, advancing basic and applied science. We review recent developments in process-explicit models and how they have improved knowledge of the distribution and dynamics of life on Earth, enabling biodiversity to be better understood and managed through a deeper recognition of the processes that shape genetic, species, and ecosystem diversity.
dc.description.statementofresponsibilityJulia A. Pilowsky, Robert K. Colwell, Carsten Rahbek, Damien A. Fordham
dc.identifier.citationScience Advances, 2022; 8(31):1-12
dc.identifier.doi10.1126/sciadv.abj2271
dc.identifier.issn2375-2548
dc.identifier.issn2375-2548
dc.identifier.orcidPilowsky, J.A. [0000-0002-6376-2585]
dc.identifier.orcidFordham, D.A. [0000-0003-2137-5592]
dc.identifier.urihttps://hdl.handle.net/2440/136375
dc.language.isoen
dc.publisherAmerican Association for the Advancement of Science (AAAS)
dc.relation.granthttp://purl.org/au-research/grants/arc/FT140101192
dc.relation.granthttp://purl.org/au-research/grants/arc/DP180102392
dc.rightsCopyright © 2022 The Authors, some rights reserved; exclusive licensee American Association for the Advancement of Science. No claim to original U.S. Government Works. Distributed under a Creative Commons Attribution NonCommercial License 4.0 (CC BY-NC).
dc.source.urihttps://doi.org/10.1126/sciadv.abj2271
dc.subjectEcosystem
dc.subjectBiodiversity
dc.subjectModels, Biological
dc.subjectBiological Evolution
dc.subject.meshEcosystem
dc.subject.meshBiodiversity
dc.subject.meshModels, Biological
dc.subject.meshBiological Evolution
dc.titleProcess-explicit models reveal the structure and dynamics of biodiversity patterns
dc.typeJournal article
pubs.publication-statusPublished

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