Larissa Gonçalves SANTOS, Bruna Emilia ROMAN, Natan Guilherme dos SANTOS, Heytor Lemos MARTINS, Eduardo da Silva MARTINS, Rodrigo Ney MILLAN
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引用次数: 1
摘要
养猪业在巴西经济中发挥着重要作用,但也可能引发环境问题,尤其是水资源污染问题。在这项研究中,我们评估了一个养猪场的污水沉积对Divisa河不同地点的浮游植物组合组成和湖泊参数的影响- Fazenda s Luís,阿帕雷西达de Minas/MG /MG。在六个多月的时间里,我们分析了海岸带表面三个不同采样点的几个变量。共发现74个浮游植物属,其中绿藻科和蓝藻科数量最多,隐藻科和蓝藻科密度最大。PERMANOVA分析显示P1 x P3和P2 x P3采样点之间存在差异,SIMPER分析显示隐藻科和蓝藻科对观察到的差异有贡献。对应典型分析(CCA)允许将采样地点组织为三组,其中浮游植物组成根据营养梯度进行区分。我们得出结论,未经处理的养猪业废水排放到水体中,通过增加总磷和增加隐藻和蓝藻的丰度,对浮游植物群落及其组合动态产生影响(P3)。
EFFECT OF PIG FARMING EFFLUENTS ON LIMNOLOGICAL PARAMETERS AND PHYTOPLANKTON COMPOSITION
Pig farming plays an important role in the Brazilian economy, but it may trigger environmental issues, especially regarding the contamination of water resources. In this study, we evaluated the effects of the deposition of effluents from a pig farm on the phytoplankton assemblage composition and limnological parameters at different spots of the Divisa River - Fazenda São Luís, Aparecida de Minas/MG, Brazil. Over six months, we analyzed several variables at three different sampling sites on the surface of a coastal zone. We registered seventy-four phytoplankton genera, with Chlorophyceae and Cyanophyceae representing the most abundant classes, and Cryptophyceae and Cyanophyceae displaying the highest densities. The PERMANOVA analysis revealed dissimilarity between sampling sites P1 x P3 and P2 x P3, and the SIMPER analysis showed that Cryptophyceae and Cyanophyceae contributed to the observed dissimilarity. The correspondence canonical analysis (CCA) allowed the organization of sampled sites in three groups, in which the phytoplankton composition was distinguished according to trophic gradients. We concluded that pig farming effluents discharged without previous treatment into water bodies exert influences in both the phytoplankton community and the dynamics of its assemblage, by increasing total phosphorus and contributing for increased abundances of Cryptophyceae and Cyanophyceae in the last evaluated site (P3).