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Factoring scales of spatial and temporal variation in fish abundance in a subtropical estuary

机译：亚热带河口鱼类丰度时空变化的尺度

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We employed a new approach linking multivariate and time series analyses to identify common versus unique spatiotemporal components of abundance variation of marine spawning fishes recruiting into a subtropical Western Atlantic estuary. Based on a 10 yr standardized monthly data set, we also investigated patterns of association for local and regional factors with annual and inter-annual variation in abundance of 5 dominant marine estuarine-dependent fishes. The total amount of variation in fish abundance explained by environmental variables was 22.4 %. After factoring out shared spatiotemporal variation (0.8 %), our analysis showed that temporal components had an almost 5-fold greater contribution (28.0%) than spatial components (6.4 %) in explaining the variation in abundance of the 5 species. Most of the variation across the temporal scale (58.5 %) was associated with annual (from 0.5 to 1.3 yr) rather than multi-year oscillations (>2 yr). Such annual patterns were probably associated with adaptations of marine estuarine-dependent fishes for exploiting predictable pulses in seasonal productivity typically found in subtropical estuaries. In contrast, inter-annual variation in abundance occurring at a scale of 3 to 7 yr could be attributed to rainfall anomalies associated with El Nino Southern Oscillation (ENSO) events, whereas those occurring at a scale of 2 yr could be influenced by the Southern Annular Mode (SAM). Our findings corroborate the hypothesis that prevalent annual patterns of variation in the abundance of marine estuarine-dependent fishes are associated with predictable productivity pulses linked to the annual temperature regime, whereas inter-annual variations in fish abundance are associated with the influence of large-scale climatic phenomena.
机译：我们采用了一种将多元分析与时间序列分析相结合的新方法，以确定招募到亚热带西大西洋河口的海洋产卵鱼类的丰度变化的常见时空分量。基于10年的标准化月度数据集，我们还调查了5种主要海洋河嘴类依赖鱼类的丰度年度和年度变化与本地和区域因素的关联模式。环境变量解释的鱼类丰度变化总量为22.4％。在排除了共享的时空变化（0.8％）之后，我们的分析表明，在解释5种物种的丰度变化时，时间成分的贡献（28.0％）比空间成分（6.4％）大将近5倍。时间尺度上的大多数变化（58.5％）与年度（0.5至1.3年）相关，而不是与多年振荡（> 2年）相关。这种年度模式可能与适应海洋河口鱼类有关，以利用通常在亚热带河口发现的季节性生产力的可预测脉动。相比之下，在3至7年尺度上发生的年际丰度变化可能归因于与厄尔尼诺南方涛动（ENSO）事件相关的降雨异常，而在2年尺度上发生的那些则可能受到南半球降水的影响。环形模式（SAM）。我们的发现证实了这样的假说，即依赖海洋河口的鱼类的丰富度的普遍年度变化与与年度温度制度有关的可预测的生产力脉动有关，而鱼类丰度的年际变化与大规模的影响有关。气候现象。

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