CSR strategy shifts under biotic resistance and grazing drive invasion success of <em>Solanum rostratum</em> in northern China

Biotic resistance and environmental filter are the primary ecological barriers to successful invasions. Although the role of functional strategies in overcoming these barriers has been extensively investigated, whether and how the plasticity of functional strategies facilitates successful invasions remains poorly understood. In this study, we explored the invasion mechanisms of a widespread invasive plant, Solanum rostratum, across a 3,000 km spatial extent in northern China using Grime’s competitor, stress tolerator, and ruderal (CSR) framework. Our results showed that S. rostratum consistently invested more in C-strategy compared to native species, but it exhibited plastic shifts between S- and R-strategies. These strategic shifts were primarily influenced by the CSR strategy and the taxonomic and functional diversity of native communities, which selected for greater strategic divergence between S. rostratum and native species. Grazing further modulated these shifts by reducing native..., , # CSR strategy shifts under biotic resistance and grazing drive invasion success of *Solanum rostratum* in northern China Dataset DOI: [10.5061/dryad.tqjq2bwcf](https://doi.org/10.5061/dryad.tqjq2bwcf) ## Description of the data and file structure We conducted large-scale field surveys and trait measurements across40 invaded and native plant communities spanning a 3,000 km transect in northern China to investigate how the functional strategies of *Solanum rostratum* vary with ecological contexts. We recorded species composition, environmental conditions, and plant functional traits to calculate CSR strategies for both invasive and native species. These data were collected to assess how functional strategy plasticity facilitates invasion success across environmental and biotic gradients. ### Files and variables ### 1. Best_model_result.csv **Description:** Model selection results for candidate linear mixed-effects models. **Variables:** * `model_id` — Model identifier (character)...,生物抵抗与环境过滤是物种成功入侵的两大核心生态屏障。尽管学界已针对功能策略突破上述屏障的作用开展了大量研究，但功能策略的可塑性是否以及如何促进物种成功入侵，目前仍不甚明晰。 本研究以广泛分布于中国北方的入侵植物刺萼龙葵（*Solanum rostratum*）为对象，基于格里姆（Grime）提出的竞争者-胁迫耐受者-杂草（CSR, Competitor-Stress tolerator-Ruderal）功能策略框架，在跨度3000公里的空间尺度上探讨其入侵机制。研究结果显示，相较于本地物种，刺萼龙葵始终投入更多资源到竞争策略（C-strategy）中，但其可在胁迫耐受策略（S-strategy）与杂草策略（R-strategy）间发生可塑性转变。此类策略转变主要受本地群落的CSR策略、分类多样性与功能多样性调控，进而加剧了刺萼龙葵与本地物种间的策略分化。放牧进一步通过降低本地[数据截断]调控此类策略转变。 # 《生物抵抗与放牧下的CSR策略转变驱动中国北方刺萼龙葵入侵成功》 数据集DOI: [10.5061/dryad.tqjq2bwcf](https://doi.org/10.5061/dryad.tqjq2bwcf) ## 数据与文件结构说明 本研究在中国北方3000公里的样带范围内，对40个入侵植物群落与本地植物群落开展了大规模野外调查与功能性状测定，以解析刺萼龙葵的功能策略如何随生态背景发生变化。研究记录了物种组成、环境条件与植物功能性状，用于计算入侵物种与本地物种的CSR策略。本数据集旨在评估功能策略可塑性如何沿环境与生物梯度促进入侵成功。 ### 文件与变量 #### 1. Best_model_result.csv **描述**：候选线性混合效应模型的模型选择结果。 **变量**： * `model_id` — 模型标识符（字符型）...