Weak population regulation in ecological time series

被引:53
|
作者
Ziebarth, Nicolas L. [1 ,2 ]
Abbott, Karen C. [1 ]
Ives, Anthony R. [1 ]
机构
[1] Univ Wisconsin, Dept Zool, Madison, WI 53706 USA
[2] Northwestern Univ, Dept Econ, Evanston, IL 60202 USA
基金
美国国家科学基金会;
关键词
Autoregressive-moving average; autoregressive model; Global Population Dynamics Database; linear model; non-stationarity; population regulation; return to equilibrium; time-series analysis; DELAYED DENSITY-DEPENDENCE; DETECTING CYCLES; ANIMAL NUMBERS; MODELS; STABILIZATION; COMPLEXITY; STABILITY; ABUNDANCE; DYNAMICS; MAMMALS;
D O I
10.1111/j.1461-0248.2009.01393.x
中图分类号
Q14 [生态学(生物生态学)];
学科分类号
071012 ; 0713 ;
摘要
How strongly natural populations are regulated has a long history of debate in ecology. Here, we discuss concepts of population regulation appropriate for stochastic population dynamics. We then analyse two large collections of data sets with autoregressive-moving average (ARMA) models, using model selection techniques to find best-fitting models. We estimated two metrics of population regulation: the characteristic return rate of populations to stationarity and the variability of the stationary distribution (the long-term distribution of population abundance). Empirically, longer time series were more likely to show weakly regulated population dynamics. For data sets of length >= 20, more than 35% had characteristic return times > 6 years, and more than 29% had stationary distributions whose coefficients of variation were more than two times greater than would be the case if they were maximally regulated. These results suggest that many natural populations are weakly regulated. Ecology Letters (2010) 13: 21-31.
引用
收藏
页码:21 / 31
页数:11
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