Please use this identifier to cite or link to this item:
https://hdl.handle.net/2440/136375
Citations | ||
Scopus | Web of Science® | Altmetric |
---|---|---|
?
|
?
|
Type: | Journal article |
Title: | Process-explicit models reveal the structure and dynamics of biodiversity patterns |
Author: | Pilowsky, J.A. Colwell, R.K. Rahbek, C. Fordham, D.A. |
Citation: | Science Advances, 2022; 8(31):1-12 |
Publisher: | American Association for the Advancement of Science (AAAS) |
Issue Date: | 2022 |
ISSN: | 2375-2548 2375-2548 |
Statement of Responsibility: | Julia A. Pilowsky, Robert K. Colwell, Carsten Rahbek, Damien A. Fordham |
Abstract: | With 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. |
Keywords: | Ecosystem Biodiversity Models, Biological Biological Evolution |
Rights: | Copyright © 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). |
DOI: | 10.1126/sciadv.abj2271 |
Grant ID: | http://purl.org/au-research/grants/arc/FT140101192 http://purl.org/au-research/grants/arc/DP180102392 |
Published version: | http://dx.doi.org/10.1126/sciadv.abj2271 |
Appears in Collections: | Ecology, Evolution and Landscape Science publications |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
hdl_136375.pdf | Published version | 18.41 MB | Adobe PDF | View/Open |
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.