Integral projections models, their construction and use in posing hypotheses in ecology
Integral projections models, their construction and use in posing hypotheses in ecology
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DOI：
10.1111/j.1600-0706.2012.00035.x
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发表时间：
2012-09-01
期刊：
影响因子：
3.4
通讯作者：
Coulson, Tim
中科院分区：
文献类型：
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作者：
Coulson, Tim
在群体水平上重复实验对于田间系统来说往往是不可行的。尽管如此，种群水平的观察性研究在生物学中发挥着关键作用。例如，他们揭示了环境变化如何在自由生活的种群中产生生态和进化变化。当重复实验是不可能的时，构建模型并使用这些模型在电子实验中进行是第二好的事情。在构建和分析积分投影模型(IPMS)方面的最新进展意味着它们为研究生态和进化动力学提供了一个非常强大的工具。可以使用生态学家经常收集的数据对IPMS进行参数化，但构建和分析它们的简便性可能没有得到广泛的重视。在这篇与我在2012年接受Per Brinck Oikos奖时所做的演讲大致相关的文章中，我展示了IPMS的构建和分析是多么容易，我认为它们在提出和检验种群生物学中的假说方面发挥着重要作用。
Replicated experiments at the level of the population are often not feasible for field systems. Despite this, population-level observational studies play a critical role in biology. For example, they have revealed how environmental change generates ecological and evolutionary change in free-living populations. When replicated experiments are impossible, constructing models and using these to conduct in silico experiments is the next best thing. Recent advances in the construction and analysis of integral projection models (IPMs) mean they offer a remarkably powerful tool to study ecological and evolutionary dynamics. IPMs can be parameterised using data frequently collected by ecologists, but the ease with which they can be constructed and analysed is perhaps not as widely appreciated as it could be. In this paper, which is loosely related to the talk I gave when receiving the Per Brinck Oikos Award in 2012, I show how easily IPMs can be constructed and analysed, and I argue they play an important role in posing and testing hypotheses in population biology.