Responses of Lyngbya magnifica Gardner to an algaecide exposure in the laboratory and field
Responses of Lyngbya magnifica Gardner to an algaecide exposure in the laboratory and field
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DOI：
10.1016/j.ecoenv.2011.06.007
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发表时间：
2011-10-01
影响因子：
6.8
通讯作者：
Rodgers, John H.
中科院分区：
文献类型：
--
作者：
Bishop, West M.;Rodgers, John H.
根据实验室研究结果预测接触有毒物质的生物体在野外的反应并确认这些预测一直是水生毒理学自成立以来的一个中心问题。对蓝藻的实地处理和对除藻剂暴露的反应的实验室测量为解决这一问题提供了机会。这项研究涉及预测Lyngbya magnifica在实验室中对杀藻剂暴露（藻霉素（R）SCP）的反应，并在现场进行可比暴露评估该预测。根据最初的实验室实验结果，选择了一种有效的杀藻剂和浓度（即92 mg藻霉素（R）SCP/g藻类），用于农场池塘的田间应用。L magnifica叶绿素a和生物量进行了测量，最初和1，4，7，10，和21天后处理（DAT）的实验室和现场曝光。在处理后第7、10和21天，在田间处理中测量的叶绿素a降低显著大于在类似的藻霉素（R）SCP实验室暴露中获得的响应。生物量显着减少，在现场21 DAT相比，实验室测量。这种方法可以有效地进行特定地点的预测，并可以为水资源管理方面的知情决策提供有价值的信息，应将其纳入管理计划，以提高产品效率和生态安全。(C)2011 Elsevier Inc. All rights reserved.
Predicting responses of organisms exposed to toxic materials in the field from results produced in laboratory studies and confirming those predictions has been a central question in aquatic toxicology since its inception. A field treatment of a cyanobacterium and laboratory measurements of responses to algaecide exposures provided an opportunity to address that question. This research involved predicting the response of Lyngbya magnifica to an algaecide exposure (Phycomycin (R) SCP) in the laboratory and evaluating that prediction with a comparable exposure in the field. Based on the results from initial laboratory experiments, an effective algaecide and concentration (i.e. 92 mg Phycomycin (R) SCP/g algae) were selected for field application in a farm pond. L magnifica chlorophyll a and biomass were measured initially and 1, 4, 7, 10, and 21 days after treatment (DAT) for both laboratory and field exposures. Measurements of chlorophyll a decreases in the field treatment at 7, 10, and 21 days after treatment were significantly greater than responses obtained in similar laboratory exposures of Phycomycin (R) SCP. Biomass was significantly decreased in the field at 21 DAT compared to laboratory measurements. This approach can be effective for site specific predictions and can provide valuable information for informed decisions regarding water resource management and should be included in a management plan for increased product efficiency and ecological safety. (C) 2011 Elsevier Inc. All rights reserved.