期刊论文详细信息
Ecology and Evolution
Strength of density feedback in census data increases from slow to fast life histories
Salvador Herrando-Pérez1  Steven Delean1  Barry W. Brook1 
[1] The Environment Institute and School of Earth and Environmental Sciences, University of Adelaide, South Australia, Australia
关键词: Age at first reproduction;    body size;    density dependence;    fertility;    longevity;    population dynamics;   
DOI  :  10.1002/ece3.298
来源: Wiley
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【 摘 要 】

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.

【 授权许可】

CC BY-NC   
© 2012 The Authors. Ecology and Evolution published by Blackwell Publishing Ltd.

Creative Commons Attribution-NonCommercial License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited and is not used for commercial purposes.

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