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Scaling of the mean and variance of population dynamics under fluctuating regimes

Overview of attention for article published in Theory in Biosciences, March 2014
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Title
Scaling of the mean and variance of population dynamics under fluctuating regimes
Published in
Theory in Biosciences, March 2014
DOI 10.1007/s12064-014-0201-3
Pubmed ID
Authors

Cino Pertoldi, S. Faurby, D. H. Reed, J. Knape, M. Björklund, P. Lundberg, V. Kaitala, V. Loeschcke, L. A. Bach

Abstract

Theoretical ecologists have long sought to understand how the persistence of populations depends on the interactions between exogenous (biotic and abiotic) and endogenous (e.g., demographic and genetic) drivers of population dynamics. Recent work focuses on the autocorrelation structure of environmental perturbations and its effects on the persistence of populations. Accurate estimation of extinction times and especially determination of the mechanisms affecting extinction times is important for biodiversity conservation. Here we examine the interaction between environmental fluctuations and the scaling effect of the mean population size with its variance. We investigate how interactions between environmental and demographic stochasticity can affect the mean time to extinction, change optimal patch size dynamics, and how it can alter the often-assumed linear relationship between the census size and the effective population size. The importance of the correlation between environmental and demographic variation depends on the relative importance of the two types of variation. We found the correlation to be important when the two types of variation were approximately equal; however, the importance of the correlation diminishes as one source of variation dominates. The implications of these findings are discussed from a conservation and eco-evolutionary point of view.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 32 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 6%
France 2 6%
Argentina 1 3%
Canada 1 3%
Unknown 26 81%

Demographic breakdown

Readers by professional status Count As %
Researcher 10 31%
Student > Ph. D. Student 7 22%
Professor 4 13%
Professor > Associate Professor 3 9%
Student > Doctoral Student 2 6%
Other 3 9%
Unknown 3 9%
Readers by discipline Count As %
Agricultural and Biological Sciences 13 41%
Environmental Science 5 16%
Mathematics 2 6%
Earth and Planetary Sciences 2 6%
Physics and Astronomy 1 3%
Other 3 9%
Unknown 6 19%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 05 November 2014.
All research outputs
#18,382,900
of 22,769,322 outputs
Outputs from Theory in Biosciences
#153
of 194 outputs
Outputs of similar age
#162,590
of 224,600 outputs
Outputs of similar age from Theory in Biosciences
#3
of 3 outputs
Altmetric has tracked 22,769,322 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 194 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.5. This one is in the 12th percentile – i.e., 12% of its peers scored the same or lower than it.
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