瓶子里的信息?近期生态瓶实验的效用与局限性

Elizabeth E. Crone, Jane Molofsky
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引用次数: 7

摘要

生态学理论的许多经典测试都涉及在严格控制的条件下在实验室中维持了许多代的种群和群落。尽管如此,这种“瓶子实验”现在在更大的生态学领域中只起着很小的作用,而且它们与自然种群和群落的相关性受到许多野外生态学家的怀疑。在这里,我们比较和批评了最近的几个瓶子实验,这些实验旨在测试生态理论中永远无法在自然群落中解决的开放性问题。从这组实验来看,我们怀疑很难将瓶子实验的定性结果与自然种群和社区联系起来。我们从这些实验中学到的东西在很大程度上取决于理论模型和实验设计之间的关系。如果生物的人口统计完全处于实验控制之下,那么瓶子实验可以告诉我们种群动态的可能范围,但不能告诉我们是什么调节了自然种群的动态。此外,如果实验结果与机械模型无关,我们可以支持或反驳广泛的概括,但没有直接的方法将瓶子实验与自然群落联系起来。因此,我们认为,最翔实的瓶子实验必须结合机械模型和未经操纵的人口统计;这样的瓶子实验可以为实证和理论研究提供新的思路和未来的方向。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Message in a bottle? Utility and limitations of recent ecological bottle experiments

Many classic tests of ecological theory have involved populations and communities maintained for many generations in the laboratory under tightly controlled conditions. In spite of this, such “bottle experiments” now play only a minor role within the larger field of ecology, and their relevance to natural populations and communities is regarded with suspicion by many field ecologists. Here, we compare and critique several recent bottle experiments, which were designed to test open questions in ecological theory that could never feasibly be addressed in natural communities. Judging from this set of experiments, we suspect that it will be difficult to relate the qualitative results of bottle experiments to natural populations and communities. What we learn from these experiments depends heavily on the relationship between theoretical models and experimental design. If the demography of organisms is completely under experimental control, bottle experiments can teach us about the possible range of population dynamics, but not about what regulates dynamics in natural populations. Furthermore, if experimental results are not linked to a mechanistic model, we can support or refute broad generalizations, but there is no direct way to relate bottle experiments to natural communities. Consequently, we argue that the most informative bottle experiments must incorporate both mechanistic models and unmanipulated demography; such bottle experiments can generate new ideas and future directions for both empirical and theoretical research.

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