School of Biological Sciences, University of Queensland, Queensland 4072, Australia.
Ecol Lett. 2010 Sep;13(9):1182-97. doi: 10.1111/j.1461-0248.2010.01506.x. Epub 2010 Jun 15.
Explaining variation in population growth rates is fundamental to predicting population dynamics and population responses to environmental change. In this study, we used matrix population models, which link birth, growth and survival to population growth rate, to examine how and why population growth rates vary within and among 50 terrestrial plant species. Population growth rates were more similar within species than among species; with phylogeny having a minimal influence on among-species variation. Most population growth rates decreased over the observation period and were negatively autocorrelated between years; that is, higher than average population growth rates tended to be followed by lower than average population growth rates. Population growth rates varied more through time than space; this temporal variation was due mostly to variation in post-seedling survival and for a subset of species was partly explained by response to environmental factors, such as fire and herbivory. Stochastic population growth rates departed from mean matrix population growth rate for temporally autocorrelated environments. Our findings indicate that demographic data and models of closely related plant species cannot necessarily be used to make recommendations for conservation or control, and that post-seedling survival and the sequence of environmental conditions are critical for determining plant population growth rate.
解释种群增长率的变化对于预测种群动态和种群对环境变化的响应至关重要。在本研究中,我们使用矩阵种群模型(将出生、生长和存活与种群增长率联系起来)来研究种群增长率在 50 种陆地植物种内和种间是如何以及为何变化的。种群增长率在种内比种间更相似;系统发育对种间变化的影响最小。大多数种群增长率在观测期间下降,并且年份之间呈负自相关;也就是说,高于平均水平的种群增长率往往会被低于平均水平的种群增长率所跟随。种群增长率在时间上的变化比空间上的变化更大;这种时间变化主要是由于幼苗后生存的变化引起的,对于一部分物种,部分原因是对环境因素(如火灾和食草动物)的响应。随机种群增长率偏离了具有时间自相关环境的平均矩阵种群增长率。我们的研究结果表明,不能将与密切相关的植物物种相关的种群数据和模型用于提出保护或控制的建议,幼苗后生存和环境条件的顺序对于确定植物种群增长率至关重要。