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HARMFUL CYANOBACTERIAL BLOOMS: IDENTIFYING DATA GAPS AND THE NEED FOR A MANAGEMENT FRAMEWORK

机译:有害的蓝绿色细菌:识别数据缺口和管理框架的需求

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Harmful algal blooms (HABs) are frequently reported in many countries around the world. Even though this phenomenon has been known for a long time, the causes of HABs and toxicity releases are still not understood. Effective management of HABs of cyanobacteria requires an understanding of both the environmental factors associated with their formation and the effectiveness of available management alternatives for a given body of water. HABs can affect the quality of water bodies, thereby disrupting drinking water supplies, impacting recreational uses, and releasing toxins that can harm ecosystems and humans. HABs present a growing problem to water resource managers. HAB-related management decisions are complex and involve: 1. Selecting the appropriate management interventions. 2. Identifying important knowledge and technology gaps. 3. Allocating funding for appropriate research or management projects. 4. Communicating with stakeholders. This chapter discusses the uncertainties associated with environmental factors linked to HAB formation and toxin release and proposes a management decision framework using multi-criteria decision analysis (MCDA). MCDA links management strategies with decision criteria and weightings elicited from decision makers or the public, allowing visualization and quantification of the tradeoffs between many social and technical factors involved in the decision-making process.
机译:全世界许多国家经常报告有害藻华(HAB)。尽管这种现象已为人们所知,但仍不清楚HAB的起因和毒性释放。有效地管理蓝细菌的HAB需要既了解与它们形成有关的环境因素,又要了解给定水域可用的管理替代方法的有效性。 HAB会影响水体的质量,从而破坏饮用水供应,影响娱乐用途,并释放会损害生态系统和人类的毒素。 HAB给水资源管理者带来了一个日益严重的问题。与HAB相关的管理决策非常复杂,涉及以下方面:1.选择适当的管理干预措施。 2.确定重要的知识和技术差距。 3.为适当的研究或管理项目分配资金。 4.与利益相关者沟通。本章讨论与HAB形成和毒素释放相关的环境因素的不确定性,并使用多标准决策分析(MCDA)提出管理决策框架。 MCDA将管理策略与决策者或公众确定的决策标准和权重相联系,从而使可视化和量化决策过程中涉及的许多社会和技术因素之间的权衡。

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