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Frequency and intensity of facilitation reveal opposing patterns along a stress gradient

机译:促进的频率和强度沿着应力梯度揭示了相反的图案

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Disentangling the different processes structuring ecological communities is a long‐standing challenge. In species‐rich ecosystems, most emphasis has so far been given to environmental filtering and competition processes, while facilitative interactions between species remain insufficiently studied. Here, we propose an analysis framework that not only allows for identifying pairs of facilitating and facilitated species, but also estimates the strength of facilitation and its variation along environmental gradients. Our framework combines the analysis of both co‐occurrence and co‐abundance patterns using a moving window approach along environmental gradients to control for potentially confounding effects of environmental filtering in the co‐abundance analysis. We first validate our new approach against community assembly simulations, and exemplify its potential on a large 1,134 plant community plots dataset. Our results generally show that facilitation intensity was strongest under cold stress, whereas the proportion of facilitating and facilitated species was higher under drought stress. Moreover, the functional distance between individual facilitated species and their facilitating species significantly changed along the temperature–moisture gradient, and seemed to influence facilitation intensity, although no general positive or general negative trend was discernible among species. The main advantages of our robust framework are as follows: It enables detecting facilitating and facilitated species in species‐rich systems, and it allows identifying the directionality and intensity of facilitation in species pairs as well as its variation across long environmental gradients. It thus opens numerous opportunities for incorporating functional (and phylogenetic) information in the analysis of facilitation patterns. Our case study indicated high complexity in facilitative interactions across the stress gradient and revealed new evidence that facilitation, similarly to competition, can operate between functionally similar and dissimilar species. Extending the analyses to other taxa and ecosystems will foster our understanding how complex interspecific interactions promote biodiversity.
机译:解开构成生态社区的不同进程是一个长期存在的挑战。在物种丰富的生态系统中,到目前为止,大多数重点都被赋予环境过滤和竞争过程,而物种之间的促进相互作用仍然不足。在这里,我们提出了一种分析框架,不仅允许识别促进和促进的物种对,而且还估计了促进的强度及其沿环境梯度的变化。我们的框架结合了共同发生和共同丰富模式的分析,使用沿着环境梯度的移动窗口方法来控制环境过滤在共度分析中的潜在混杂效应。我们首先验证了我们对社区组装模拟的新方法,并举例说明其在大型1,134植物社区图数据集上的潜力。我们的结果普遍表明,在冷应力下,促进强度最强,而促进和促进物种的比例在干旱胁迫下较高。此外,各种促进物种之间的功能距离及其促进物种沿温度 - 水分梯度显着变化,似乎影响了促进强度,尽管物种中没有普遍的阳性或一般负趋势。我们稳健框架的主要优点如下:它能够检测丰富的物种系统中的促进和便利物种,允许识别物种对中的便利化方向性和强度以及长环境梯度的变化。因此,在分析促进模式中,它打开了掺入功能(和系统和系统和系统发育)信息的许多机会。我们的案例研究表明,对压力梯度的促进相互作用的高度复杂性,并揭示了促进的新证据,类似于竞争,可以在功能相似和不同的物种之间运行。将分析扩展到其他分类群和生态系统将促进我们了解复杂的间隙互动促进生物多样性。

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