首页> 外文期刊>PLoS Computational Biology >Interactions between all pairs of neighboring trees in 16 forests worldwide reveal details of unique ecological processes in each forest, and provide windows into their evolutionary histories
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Interactions between all pairs of neighboring trees in 16 forests worldwide reveal details of unique ecological processes in each forest, and provide windows into their evolutionary histories

机译:全世界16林界所有邻近树木之间的相互作用揭示了每个森林中独特生态过程的细节,并将窗户提供进入其进化历史

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When Darwin visited the Galapagos archipelago, he observed that, in spite of the islands’ physical similarity, members of species that had dispersed to them recently were beginning to diverge from each other. He postulated that these divergences must have resulted primarily from interactions with sets of other species that had also diverged across these otherwise similar islands. By extrapolation, if Darwin is correct, such complex interactions must be driving species divergences across all ecosystems. However, many current general ecological theories that predict observed distributions of species in ecosystems do not take the details of between-species interactions into account. Here we quantify, in sixteen forest diversity plots (FDPs) worldwide, highly significant negative density-dependent (NDD) components of both conspecific and heterospecific between-tree interactions that affect the trees’ distributions, growth, recruitment, and mortality. These interactions decline smoothly in significance with increasing physical distance between trees. They also tend to decline in significance with increasing phylogenetic distance between the trees, but each FDP exhibits its own unique pattern of exceptions to this overall decline. Unique patterns of between-species interactions in ecosystems, of the general type that Darwin postulated, are likely to have contributed to the exceptions. We test the power of our null-model method by using a deliberately modified data set, and show that the method easily identifies the modifications. We examine how some of the exceptions, at the Wind River (USA) FDP, reveal new details of a known allelopathic effect of one of the Wind River gymnosperm species. Finally, we explore how similar analyses can be used to investigate details of many types of interactions in these complex ecosystems, and can provide clues to the evolution of these interactions.
机译:当达尔文访问了加拉帕戈斯群岛时,他观察到,尽管岛屿的身体相似性,但最近已经分散给他们的物种成员开始彼此分歧。他假设这些分歧必须主要导致与其他物种集合的相互作用,这些物种在这些其他类似的岛屿上也分散。通过外推,如果达尔文是正确的,这种复杂的相互作用必须在所有生态系统中驾驶物种分歧。然而,预测生态系统中物种分布的许多当前的一般生态学理论不会考虑物种之间的互动细节。在这里,我们在全球十六个森林多样性地块(FDPS)中量化,非常重要的负密度依赖性(NDD)组分,两者的异常与异常的树木相互作用,影响树木的分布,增长,招聘和死亡率。随着树木之间的物理距离,这些相互作用的意义下滑。它们也倾向于随着树木之间的系统发育距离增加,但每个FDP都表现出其独特的例外模式,这整体下降。生态系统中的物种之间的独特模式,达尔文假设的一般类型的一般类型可能会导致例外。我们通过使用故意修改的数据集来测试NULL模型方法的功率,并显示该方法容易地识别修改。我们研究Wind River(美国)FDP的一些例外情况,揭示了一种风河裸子植物物种之一的已知化感受效果的新细节。最后,我们探讨如何使用与这些复杂生态系统中许多类型相互作用的细节如何,并且可以为这些相互作用的演变提供线索。

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