Outbreaks and interacting factors: Insect population explosions synthesized and dissected

Alison F. Hunter, Greg Dwyer
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引用次数: 16

Abstract

Insect outbreaks have attracted a great deal of attention from ecologists, but an understanding of outbreaks has been elusive. We argue that a major reason for this lack of understanding is that most ecologists focus on single factor explanations, while most outbreaks are probably determined by multiple factors. This focus on single factors is not just due to investigator bias, but seems to be inherent in the major approaches used to study outbreaking insects. Theoreticians have focused on fitting mathematical models to time series of densities; we show, however, that this method is not capable of distinguishing among mechanisms. Field biologists typically rely on experiments that test only one factor at a time, probably due to the difficulty of performing experiments on an appropriate scale. We suggest that a way out of this problem may be to closely integrate models and experiments so that moderately complex mathematical hypotheses may be tested in the field without too great expense.

暴发和相互作用因素:昆虫种群爆炸的合成和解剖
昆虫爆发引起了生态学家的极大关注,但对爆发的理解一直难以捉摸。我们认为,这种缺乏理解的一个主要原因是,大多数生态学家专注于单一因素的解释,而大多数疫情可能是由多种因素决定的。这种对单一因素的关注不仅仅是由于研究者的偏见,而且似乎是用于研究暴发昆虫的主要方法所固有的。理论家们专注于将数学模型拟合到密度的时间序列上;然而,我们表明,这种方法不能区分机制。野外生物学家通常依赖于一次只测试一个因素的实验,这可能是由于在适当规模上进行实验的困难。我们建议,解决这个问题的一种方法可能是将模型和实验紧密结合起来,这样就可以在不花费太多费用的情况下在现场测试中等复杂的数学假设。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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