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Letter
Nature 452, 344-347 (20 March 2008) | doi:10.1038/nature06605; Received 18 May 2007; Accepted 21 December 2007
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Professor of Experimental Transplantation Surgery (W2) - Limited to 6 Years
- Friedrich-Schiller-Universitat Jena
- Jena 07740 Germany
Instructor of Medicine
- University of Alabama at Birmingham
- Birmingham, AL
Survival variability and population density in fish populations
Coilín Minto1, Ransom A. Myers3 & Wade Blanchard2
- Department of Biology, Dalhousie University, Halifax, Nova Scotia, B3H 4J1, Canada
- Department of Mathematics and Statistics, Dalhousie University, Halifax, Nova Scotia, B3H 3J5, Canada
- Deceased
Correspondence to: Coilín Minto1 Correspondence and requests for materials should be addressed to C.M. (Email: mintoc@mathstat.dal.ca).
Abstract
To understand the processes that regulate the abundance and persistence of wild populations is a fundamental goal of ecology and a prerequisite for the management of living resources. Variable abundance data, however, make the demonstration of regulation processes challenging1, 2, 3. A previously overlooked aspect in understanding how populations are regulated4, 5, 6 is the possibility that the pattern of variability—its strength as a function of population size—may be more than 'noise', thus revealing much about the characteristics of population regulation. Here we show that patterns in survival variability do provide evidence of regulation through density. Using a large, global compilation of marine, anadromous and freshwater fisheries data, we examine the relationship between the variability of survival and population abundance. The interannual variability in progeny survival increases at low adult abundance in an inversely density-dependent fashion. This pattern is consistent with models in which density dependence enters after the larval stage. The findings are compatible with very simple forms of density dependence: even a linear increase of juvenile mortality with adult density adequately explains the results. The model predictions explain why populations with strong regulation may experience large increases in variability at low densities7. Furthermore, the inverse relationship between survival variability and the strength of density dependence has important consequences for fisheries management and recovery, and population persistence or extinction8, 9, 10.
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