Waterborne Environmental, Inc., 2001 South First Street, Suite 109, Champaign, IL 61820, United States.
Rhithron Associates, Inc., 33 Fort Missoula Rd., Missoula, MT 59804, United States; Algal Analysis, LLC, Missoula, MT, United States.
Sci Total Environ. 2015 Feb 1;505:65-89. doi: 10.1016/j.scitotenv.2014.09.033. Epub 2014 Oct 10.
Potential effects of pesticides on stream algae occur alongside complex environmental influences; in situ studies examining these effects together are few, and have not typically controlled for collinearity of variables. We monitored the dynamics of periphyton, phytoplankton, and environmental factors including atrazine, and other water chemistry variables at 6 agricultural streams in the Midwest US from spring to summer of 2011 and 2012, and used variation partitioning of community models to determine the community inertia that is explained uniquely and/or jointly by atrazine and other environmental factors or groups of factors. Periphyton and phytoplankton assemblages were significantly structured by year, day of year, and site, and exhibited dynamic synchrony both between site-years and between periphyton and phytoplankton in the same site-year. The majority of inertia in the models (55.4% for periphyton, 68.4% for phytoplankton) was unexplained. The explained inertia in the models was predominantly shared (confounded) between variables and variable groups (13.3, 30.9%); the magnitude of inertia that was explained uniquely by variable groups (15.1, 18.3%) was of the order hydroclimate>chemistry>geography>atrazine for periphyton, and chemistry>hydroclimate>geography>atrazine for phytoplankton. The variables most influential to the assemblage structure included flow and velocity variables, and time since pulses above certain thresholds of nitrate+nitrite, total phosphorus, total suspended solids, and atrazine. Time since a ≥30 μg/L atrazine pulse uniquely explained more inertia than time since pulses ≥ 10 μg/L or daily or historic atrazine concentrations; this result is consistent with studies concluding that the effects of atrazine on algae typically only occur at ≥30 μg/L and are recovered from.
潜在的农药对溪流藻类的影响与复杂的环境影响并存;目前研究很少同时检查这些影响,并且通常没有控制变量的共线性。我们在 2011 年和 2012 年春夏两季监测了美国中西部 6 个农业溪流的周丛藻类、浮游植物和包括莠去津在内的环境因素以及其他水质变量的动态变化,并用群落模型的变异划分来确定由莠去津和其他环境因素或因素组单独和/或共同解释的群落惰性。周丛藻类和浮游植物组合受年份、一年中的天数和地点的显著影响,并在不同地点和年份之间以及在同一地点和年份的周丛藻类和浮游植物之间表现出动态同步。模型中的大部分惰性(周丛藻类为 55.4%,浮游植物为 68.4%)无法解释。模型中解释的惰性主要是变量和变量组之间共享(混淆)(13.3%,30.9%);变量组唯一解释的惰性的大小(15.1%,18.3%)对于周丛藻类而言是水文气候>化学>地理>莠去津,对于浮游植物则是化学>水文气候>地理>莠去津。对组合结构影响最大的变量包括流量和速度变量,以及硝酸盐+亚硝酸盐、总磷、总悬浮物和莠去津超过一定阈值的脉冲后时间。大于 30μg/L 莠去津脉冲的时间比大于 10μg/L 或每日或历史莠去津浓度的脉冲后时间唯一解释了更多的惰性;这一结果与结论一致,即莠去津对藻类的影响通常仅在大于 30μg/L 时发生,并且可以从其中恢复。