Barboza Carlos Alberto de Moura, Martins César C, Lana Paulo da Cunha
Universidade Federal do Paraná, Centro de Estudos do Mar, Av. Beira-mar, s/n, CEP, 83255-976 Paraná, Brazil; Universidade Federal do Estado do Rio de Janeiro, Instituto de Biociências, Av. Pasteur, 296, CEP: 22290-240 Rio de Janeiro, Brazil.
Universidade Federal do Paraná, Centro de Estudos do Mar, Av. Beira-mar, s/n, CEP, 83255-976 Paraná, Brazil.
Mar Pollut Bull. 2015 Nov 15;100(1):438-444. doi: 10.1016/j.marpolbul.2015.08.008. Epub 2015 Aug 29.
We have assessed variation in brittle star distribution patterns along a contamination gradient identified by fecal steroids and aliphatic hydrocarbons in Paranaguá Bay, southern Brazil. A hierarchical design using multiple spatial scales (centimeters-kilometers) was applied. Generalized linear mixed models (GLMMs) were used to investigate the spatial and temporal variability of brittle stars. Main principal components from the contamination and environmental matrices were used to investigate the best explanatory dataset. The abundance of brittle stars was significantly lower in sites with high concentrations of fecal steroids and aliphatic hydrocarbons. The best model fitting always included components from the contamination gradients, which precludes a purely environmental driving of brittle star abundance. Variability in spatial scales lower than kilometers was probably driven by sediment characteristics. We highlighted the importance of a robust multi-scale sampling design for a better biological indication of coastal contamination.
我们评估了巴西南部巴拉那瓜湾粪便类固醇和脂肪烃所确定的污染梯度上脆星分布模式的变化。采用了一种使用多个空间尺度(厘米 - 公里)的分层设计。广义线性混合模型(GLMMs)用于研究脆星的空间和时间变异性。污染和环境矩阵的主要主成分用于研究最佳解释数据集。在粪便类固醇和脂肪烃浓度高的地点,脆星的丰度显著较低。最佳模型拟合始终包括来自污染梯度的成分,这排除了脆星丰度纯粹由环境驱动的可能性。低于公里级的空间尺度变化可能是由沉积物特征驱动的。我们强调了稳健的多尺度采样设计对于更好地进行沿海污染生物指示的重要性。