Large-scale multi-trophic co-response models and environmental control of pelagic food webs in Québec lakes

Environmental heterogeneity plays a fundamental role in driving species distributions by, for one, fostering niche dimensionality. Within lake ecosystems, species distributions and concordance patterns are driven by both local and regional heterogeneity, though their relative importance across trophic levels has rarely been explored. We developed a statistical framework to compare responses of taxa from different trophic levels to abiotic factors and determine how thisaffected multi-trophic network structures.In particular, we used multi-species concordance modelling (Concordance Analysis and RV coefficient) to determine species associations and correlations within and among three trophic levels (phytoplankton, zooplankton and fish communities sampled across 49 southern Québeclakes, covering eight hydrological regions). We then used Multiple Factor Analysis, Latent Variable Modelling and Local Contributions of sites to Beta Diversity to assess the relative importance of major environmen...环境异质性在调控物种分布格局中扮演着基础性核心角色，其中一条关键路径便是促进生态位维度的拓展。在湖泊生态系统中，物种分布与群落协同格局同时受局地与区域环境异质性的驱动，但目前学界鲜有探究不同营养级类群对这类异质性响应的相对重要性。本研究构建了一套统计分析框架，用于比较不同营养级类群对非生物因子（abiotic factors）的响应特征，并阐明此类响应如何影响多营养级群落网络结构。具体而言，本研究采用多物种种群协同建模方法（协同分析（Concordance Analysis）与RV系数（RV coefficient）），对覆盖8个水文区域的魁北克南部49个湖泊的采样数据开展分析，以明确三个营养级（浮游植物（phytoplankton）、浮游动物（zooplankton）与鱼类群落）内部及相互间的物种关联与相关性。随后，本研究借助多因子分析（Multiple Factor Analysis）、潜变量模型（Latent Variable Modelling）以及样点对β多样性（Beta Diversity）的局部贡献度分析方法，评估主要环境因子的相对重要性……