AimAddressing how woody plant species are distributed in space can reveal inconspicuous drivers that structure plant communities. The spatial structure of conspecifics varies not only at local scales across co‐existing plant species but also at larger biogeographical scales with climatic parameters and habitat properties. The possibility that biogeographical drivers shape the spatial structure of plants, however, has not received sufficient attention.LocationGlobal synthesis.Time Period1997–2022.Major Taxa StudiedWoody angiosperms and conifers.MethodsWe carried out a quantitative synthesis to capture the interplay between local scale and larger scale drivers. We modelled conspecific spatial aggregation as a binary response through logistic models and Ripley's L statistics and the distance at which the point process was least random with mixed effects linear models. Our predictors covered a range of plant traits, climatic predictors and descriptors of the habitat.ResultsWe hypothesized that plant traits, when summarized by local scale predictors, exceed in importance biogeographical drivers in determining the spatial structure of conspecifics across woody systems. This was only the case in relation to the frequency with which we observed aggregated distributions. The probability of observing spatial aggregation and the intensity of it was higher for plant species with large leaves but further depended on climatic parameters and mycorrhiza.Main ConclusionsCompared to climate variables, plant traits perform poorly in explaining the spatial structure of woody plant species, even though leaf area is a decisive plant trait that is related to whether we observe homogenous spatial aggregation and its intensity. Despite the limited variance explained by our models, we found that the spatial structure of woody plants is subject to consistent biogeographical constraints and that these exceed beyond descriptors of individual species, which we captured here through leaf area.

中文翻译：

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叶面积预测木本物种的同种空间聚集


目的解决木本植物物种在空间中的分布方式可以揭示构成植物群落的不明显的驱动因素。同种植物的空间结构不仅在共存植物物种的局部尺度上变化，而且在更大的生物地理尺度上随气候参数和栖息地特性而变化。然而，生物地理驱动因素塑造植物空间结构的可能性尚未受到足够的重视。位置全球综合。时间段1997-2022。主要分类群研究木本被子植物和针叶树。方法我们进行了定量综合，以捕获局部尺度和更大尺度之间的相互作用规模驱动因素。我们通过逻辑模型和 Ripley's L 统计量以及混合效应线性模型点过程随机性最小的距离将同种空间聚合建模为二元响应。我们的预测因子涵盖了一系列植物性状、气候预测因子和栖息地描述符。结果我们假设，当用局部尺度预测因子进行概括时，植物性状在确定木本系统同种植物的空间结构方面的重要性超过了生物地理驱动因素。这只是与我们观察聚合分布的频率有关的情况。大叶植物观测到空间聚集的概率及其强度较高，但进一步取决于气候参数和菌根。主要结论与气候变量相比，植物性状在解释木本植物物种的空间结构方面表现较差，尽管叶面积是决定性的植物性状，与我们是否观察到同质空间聚集及其强度有关。 尽管我们的模型解释的方差有限，但我们发现木本植物的空间结构受到一致的生物地理限制，并且这些限制超出了我们通过叶面积在这里捕获的单个物种的描述符。