Bull, James C. and Bonsall, Michael B. (2010) Predators reduce extinction risk in noisy metapopulations. PL o S One, Vol.5 (No.7). doi:10.1371/journal.pone.0011635

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Abstract

Background
Spatial structure across fragmented landscapes can enhance regional population persistence by promoting local “rescue effects.” In small, vulnerable populations, where chance or random events between individuals may have disproportionately large effects on species interactions, such local processes are particularly important. However, existing theory often only describes the dynamics of metapopulations at regional scales, neglecting the role of multispecies population dynamics within habitat patches.

Findings
By coupling analysis across spatial scales we quantified the interaction between local scale population regulation, regional dispersal and noise processes in the dynamics of experimental host-parasitoid metapopulations. We find that increasing community complexity increases negative correlation between local population dynamics. A potential mechanism underpinning this finding was explored using a simple population dynamic model.

Conclusions
Our results suggest a paradox: parasitism, whilst clearly damaging to hosts at the individual level, reduces extinction risk at the population level.

Item Type:	Journal Article
Subjects:	Q Science > QL Zoology
Divisions:	Faculty of Science > Life Sciences (2010- ) > Biological Sciences ( -2010)
Library of Congress Subject Headings (LCSH):	Population biology -- Statistical methods, Parasitoids -- Mathematical models, Bruchidae -- Mathematical models, Predation (Biology), Extinction (Biology)
Journal or Publication Title:	PL o S One
Publisher:	Public Library of Science
ISSN:	1932-6203
Official Date:	21 July 2010
Dates:	Date Event 21 July 2010 Published
Volume:	Vol.5
Number:	No.7
DOI:	10.1371/journal.pone.0011635
Status:	Peer Reviewed
Access rights to Published version:	Open Access
Funder:	Natural Environment Research Council (Great Britain) (NERC)
Grant number:	NER/A/S/2000/01288 (NERC)

Data sourced from Thomson Reuters' Web of Knowledge

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