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Type: Journal article
Title: Strength of density feedback in census data increases from slow to fast life histories
Author: Herrando-Perez, S.
Delean, J.
Brook, B.
Bradshaw, C.
Citation: Ecology and Evolution, 2012; 2(8):1922-1934
Publisher: John Wiley & Sons Ltd
Issue Date: 2012
ISSN: 2045-7758
Statement of
Salvador Herrando-Pérez, Steven Delean, Barry W. Brook & Corey J. A. Bradshaw
Abstract: Life-history theory predicts an increasing rate of population growth among species arranged along a continuum from slow to fast life histories. We examine the effects of this continuum on density-feedback strength estimated using long-term census data from >700 vertebrates, invertebrates, and plants. Four life-history traits (Age at first reproduction, Body size, Fertility, Longevity) were related statistically to Gompertz strength of density feedback using generalized linear mixed-effects models and multi-model inference. Life-history traits alone explained 10 to 30% of the variation in strength across species (after controlling for time-series length and phylogenetic nonindependence). Effect sizes were largest for body size in mammals and longevity in birds, and density feedback was consistently stronger for smaller-bodied and shorter-lived species. Overcompensatory density feedback (strength <−1) occurred in 20% of species, predominantly at the fast end of the life-history continuum, implying relatively high population variability. These results support the idea that life history leaves an evolutionary signal in long-term population trends as inferred from census data. Where there is a lack of detailed demographic data, broad life-history information can inform management and conservation decisions about rebound capacity from low numbers, and propensity to fluctuate, of arrays of species in areas planned for development, harvesting, protection, and population recovery.
Keywords: Age at first reproduction
body size
density dependence
population dynamics
Rights: © 2012 The Authors. Published by Blackwell Publishing Ltd. This is an open access article under the terms of the Creative Commons Attribution Non-Commercial License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited and is not used for commercial purposes.
DOI: 10.1002/ece3.298
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