Doctoral Program of Oceanography, Facultad de Ciencias Naturales y Oceanográficas, Universidad de Concepción, Concepción, Chile.
Instituto Milenio de Oceanografía (IMO), Universidad de Concepción, Concepción, Chile.
PLoS One. 2024 Jul 11;19(7):e0306440. doi: 10.1371/journal.pone.0306440. eCollection 2024.
Basin-scale patterns of biodiversity for zooplankton in the ocean may provide valuable insights for understanding the impact of climate change and global warming on the marine ecosystem. However, studies on this topic remain scarce or unavailable in vast regions of the world ocean, particularly in large regions where the amount and quality of available data are limited. In this study, we used a 27-year (1993-2019) database on species occurrence of planktonic copepods in the South Pacific, along with associated oceanographic variables, to examine their spatial patterns of biodiversity in the upper 200 m of the ocean. The aim of this study was to identify ecological regions and the environmental predictors explaining such patterns. It was found that hot and cold spots of diversity, and distinctive species assemblages were linked to major ocean currents and large regions over the basin, with increasing species richness over the subtropical areas on the East and West sides of the South Pacific. While applying the spatial models, we showed that the best environmental predictors for diversity and species composition were temperature, salinity, chlorophyll-a concentration, oxygen concentration, and the residual autocorrelation. Nonetheless, the observed spatial patterns and derived environmental effects were found to be strongly influenced by sampling coverage over space and time, revealing a highly under-sampled basin. Our findings provide an assessment of copepods diversity patterns and their potential drivers for the South Pacific Ocean, but they also stress the need for strengthening the data bases of planktonic organisms, as they can act as suitable indicators of ecosystem response to climate change at basin scale.
海洋浮游动物生物多样性的盆地尺度模式可为理解气候变化和全球变暖对海洋生态系统的影响提供有价值的见解。然而,在世界海洋的大部分地区,特别是在大量数据的数量和质量有限的大型地区,关于这个主题的研究仍然很少或没有。在这项研究中,我们使用了 27 年(1993-2019 年)的南太平洋浮游桡足类物种出现数据库以及相关的海洋学变量,来研究海洋上层 200 米范围内的生物多样性空间模式。本研究的目的是确定解释这些模式的生态区域和环境预测因子。结果发现,多样性的热点和冷点以及独特的物种组合与主要洋流和大的盆地区域有关,在南太平洋东西两侧的亚热带地区,物种丰富度增加。在应用空间模型时,我们表明,多样性和物种组成的最佳环境预测因子是温度、盐度、叶绿素-a 浓度、氧浓度和剩余自相关。尽管如此,观察到的空间模式和衍生的环境效应被发现强烈受到空间和时间上的采样覆盖的影响,揭示了一个高度采样不足的盆地。我们的研究结果提供了对南太平洋浮游动物多样性模式及其潜在驱动因素的评估,但也强调了加强浮游生物数据库的必要性,因为它们可以作为气候变化对生态系统响应的合适指标在盆地范围内。