Computational Science Lab, Informatics Institute, University of Amsterdam, Amsterdam, The Netherlands.
School of Biological Sciences, University of Canterbury, Christchurch, New Zealand.
Sci Rep. 2024 Sep 18;14(1):21747. doi: 10.1038/s41598-024-72405-z.
Understanding the factors driving the maintenance of long-term biodiversity in changing environments is essential for improving restoration and sustainability strategies in the face of global environmental change. Biodiversity is shaped by both niche and stochastic processes, however the strength of deterministic processes in unpredictable environmental regimes is highly debated. Since communities continuously change over time and space-species persist, disappear or (re)appear-understanding the drivers of species gains and losses from communities should inform us about whether niche or stochastic processes dominate community dynamics. Applying a nonparametric causal discovery approach to a 30-year time series containing annual abundances of benthic invertebrates across 66 locations in New Zealand rivers, we found a strong negative causal relationship between species gains and losses directly driven by predation indicating that niche processes dominate community dynamics. Despite the unpredictable nature of these system, environmental noise was only indirectly related to species gains and losses through altering life history trait distribution. Using a stochastic birth-death framework, we demonstrate that the negative relationship between species gains and losses can not emerge without strong niche processes. Our results showed that even in systems that are dominated by unpredictable environmental variability, species interactions drive continuous community assembly.
了解在不断变化的环境中维持长期生物多样性的因素,对于改善面对全球环境变化时的恢复和可持续性策略至关重要。生物多样性由生态位和随机过程共同塑造,但在不可预测的环境条件下,确定性过程的强度仍存在高度争议。由于群落随时间和空间不断变化——物种持续存在、消失或(重新)出现——了解群落中物种增益和损失的驱动因素,应该可以让我们了解生态位或随机过程是否主导群落动态。我们应用一种非参数因果发现方法,对新西兰河流 66 个地点的底栖无脊椎动物 30 年的年度丰度时间序列进行分析,发现物种增益和损失之间存在强烈的负向直接因果关系,这表明生态位过程主导着群落动态。尽管这些系统具有不可预测的性质,但环境噪声仅通过改变生活史特征分布,间接地与物种增益和损失相关。我们使用随机出生-死亡框架表明,如果没有强大的生态位过程,物种增益和损失之间的负相关关系就不会出现。我们的研究结果表明,即使在以不可预测的环境变异性为主导的系统中,物种相互作用也会驱动连续的群落组装。