Network isolation and local diversity in neutral metacommunities
dc.contributor.author | Economo, Evan P. | en_US |
dc.contributor.author | Keitt, Timothy H. | en_US |
dc.date.accessioned | 2011-01-13T19:37:48Z | |
dc.date.available | 2011-01-13T19:37:48Z | |
dc.date.issued | 2010-02 | en_US |
dc.identifier.citation | Economo, Evan P.; Keitt, Timothy H.; (2010). "Network isolation and local diversity in neutral metacommunities." Oikos 9999(9999): ???-???. <http://hdl.handle.net/2027.42/78599> | en_US |
dc.identifier.issn | 0030-1299 | en_US |
dc.identifier.issn | 1600-0706 | en_US |
dc.identifier.uri | https://hdl.handle.net/2027.42/78599 | |
dc.description.abstract | Biologists seek an understanding of the biological and environmental factors determining local community diversity. Recent advances in metacommunity ecology, and neutral theory in particular, highlight the importance of dispersal processes interacting with the spatial structure of a landscape for generating spatial patterns and maintaining biodiversity. The relative spatial isolation of a community is traditionally thought to have a large influence on local diversity. However, isolation remains an elusive concept to quantify, particularly in metacommunities with complex spatial structure. We represent the metacommunity as a network of local communities, and use network centrality measures to quantify the isolation of a local community. Using spatially explicit neutral theory, we examine how node position predicts variation in alpha diversity across a metacommunity. We find that diversity increases with node centrality in the network, but only when centrality is measured on a given scale in the network that widens with increasing dispersal rates and narrows with increasing evolutionary rates. More generally, complex biodiversity patterns form only when the underlying geography has structure on this critical scale. This provides a framework for understanding the influence of spatial geographic structure on global biodiversity patterns. | en_US |
dc.format.extent | 2265300 bytes | |
dc.format.extent | 3106 bytes | |
dc.format.mimetype | application/pdf | |
dc.format.mimetype | text/plain | |
dc.publisher | Blackwell Publishing Ltd | en_US |
dc.title | Network isolation and local diversity in neutral metacommunities | en_US |
dc.type | Article | en_US |
dc.rights.robots | IndexNoFollow | en_US |
dc.subject.hlbsecondlevel | Natural Resources and Environment | en_US |
dc.subject.hlbtoplevel | Science | en_US |
dc.description.peerreviewed | Peer Reviewed | en_US |
dc.contributor.affiliationother | Section of Integrative Biology, Univ. of Texas at Austin, 1 University Station A6700, Austin, TX 78712, USA | en_US |
dc.contributor.affiliationother | 2004 Kraus Nat. Sci. Bldg., 830 N. University St., Ann Arbor, MI 48109, USA | en_US |
dc.description.bitstreamurl | http://deepblue.lib.umich.edu/bitstream/2027.42/78599/1/j.1600-0707.2010.18272.x.pdf | |
dc.identifier.doi | 10.1111/j.1600-0707.2010.18272.x | en_US |
dc.identifier.source | Oikos | en_US |
dc.owningcollname | Interdisciplinary and Peer-Reviewed |
Files in this item
Remediation of Harmful Language
The University of Michigan Library aims to describe library materials in a way that respects the people and communities who create, use, and are represented in our collections. Report harmful or offensive language in catalog records, finding aids, or elsewhere in our collections anonymously through our metadata feedback form. More information at Remediation of Harmful Language.
Accessibility
If you are unable to use this file in its current format, please select the Contact Us link and we can modify it to make it more accessible to you.