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首页> 外文期刊>Remote Sensing >Estimating the Exposure of Coral Reefs and Seagrass Meadows to Land-Sourced Contaminants in River Flood Plumes of the Great Barrier Reef: Validating a Simple Satellite Risk Framework with Environmental Data
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Estimating the Exposure of Coral Reefs and Seagrass Meadows to Land-Sourced Contaminants in River Flood Plumes of the Great Barrier Reef: Validating a Simple Satellite Risk Framework with Environmental Data

机译:估计大堡礁河流洪水中的珊瑚礁和海草草甸暴露于陆源污染物:用环境数据验证简单的卫星风险框架

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摘要

River runoff and associated flood plumes (hereafter river plumes) are a major source of land-sourced contaminants to the marine environment, and are a significant threat to coastal and marine ecosystems worldwide. Remote sensing monitoring products have been developed to map the spatial extent, composition and frequency of occurrence of river plumes in the Great Barrier Reef (GBR), Australia. There is, however, a need to incorporate these monitoring products into Risk Assessment Frameworks as management decision tools. A simple Satellite Risk Framework has been recently proposed to generate maps of potential risk to seagrass and coral reef ecosystems in the GBR focusing on the Austral tropical wet season. This framework was based on a “magnitude × likelihood” risk management approach and GBR plume water types mapped from satellite imagery. The GBR plume water types (so called “Primary” for the inshore plume waters, “Secondary” for the midshelf-plume waters and “Tertiary” for the offshore plume waters) represent distinct concentrations and combinations of land-sourced and marine contaminants. The current study aimed to test and refine the methods of the Satellite Risk Framework. It compared predicted pollutant concentrations in plume water types (multi-annual average from 2005–2014) to published ecological thresholds, and combined this information with similarly long-term measures of seagrass and coral ecosystem health. The Satellite Risk Framework and newly-introduced multi-annual risk scores were successful in demonstrating where water conditions were, on average, correlated to adverse biological responses. Seagrass meadow abundance (multi-annual change in % cover) was negatively correlated to the multi-annual risk score at the site level ( R 2 = 0.47, p < 0.05). Relationships between multi-annual risk scores and multi-annual changes in proportional macroalgae cover (as an index for coral reef health) were more complex ( R 2 = 0.04, p > 0.05), though reefs incurring higher risk scores showed relatively higher proportional macroalgae cover. Multi-annual risk score thresholds associated with loss of seagrass cover were defined, with lower risk scores (≤0.2) associated with a gain or little loss in seagrass cover (gain/?12%), medium risk scores (0.2–0.4) associated with moderate loss (?12/?30%) and higher risk scores (>0.4) with the greatest loss in cover (>?30%). These thresholds were used to generate an intermediate river plume risk map specifically for seagrass meadows of the GBR. An intermediate river plume risk map for coral reefs was also developed by considering a multi-annual risk score threshold of 0.2—above which a higher proportion of macroalgae within the algal communities can be expected. These findings contribute to a long-term and adaptive approach to set relevant risk framework and thresholds for adverse biological responses in the GBR. The ecological thresholds and risk scores used in this study will be refined and validated through ongoing monitoring and assessment. As uncertainties are reduced, these risk metrics will provide important information for the development of strategies to manage water quality and ecosystem health.
机译:河流径流和相关的洪水羽流(以下称河流羽流)是陆地污染物对海洋环境的主要来源,并且对全世界的沿海和海洋生态系统构成了重大威胁。已开发了遥感监测产品,以绘制澳大利亚大堡礁(GBR)中河羽的空间范围,组成和发生频率的地图。但是,需要将这些监视产品作为管理决策工具纳入“风险评估框架”中。最近提出了一个简单的卫星风险框架,以绘制GBR中对南方热带雨季的海草和珊瑚礁生态系统的潜在风险图。该框架基于“数量级×可能性”风险管理方法以及通过卫星图像绘制的GBR羽状水类型。 GBR羽状水类型(对于近岸羽状水来说是“主要”,对于中层软化水来说是“第二”,对于近岸羽状水来说是“第三”)代表着陆源和海洋污染物的不同浓度和组合。当前的研究旨在测试和完善“卫星风险框架”的方法。它将羽状水类型中预测的污染物浓度(2005-2014年的多年平均值)与已公布的生态阈值进行了比较,并将此信息与类似的海草和珊瑚生态系统健康长期措施相结合。卫星风险框架和新引入的多年期风险评分成功地证明了水的状况平均与不良生物反应相关。海草草甸的丰度(多年覆盖率的多年变化)与站点级别的多年风险评分呈负相关(R 2 = 0.47,p <0.05)。多年风险评分与比例大型藻类覆盖率的多年变化之间的关系(作为珊瑚礁健康的指标)之间的关系更为复杂(R 2 = 0.04,p> 0.05),尽管发生较高风险评分的珊瑚礁显示比例较高的藻类盖。定义了与海草覆盖度丧失相关的多年期风险评分阈值,其中较低的风险评分(≤0.2)与获得的海草覆盖度增加或几乎没有损失(增益/?12%),相关的中度风险评分(0.2-0.4)中度损失(?12 /?30%)和较高的风险评分(> 0.4),保险损失最大(>?30%)。这些阈值用于生成中间河羽风险图,专门针对GBR的海草草甸。通过考虑多年风险分数阈值0.2,还开发了中间的珊瑚礁河羽风险图,在此之上,可以预期藻类群落中更大比例的大型藻类。这些发现有助于建立一种长期的适应性方法,为GBR中的不良生物反应设定相关的风险框架和阈值。本研究中使用的生态阈值和风险评分将通过持续的监测和评估进行完善和验证。随着不确定性的降低,这些风险指标将为制定管理水质和生态系统健康的策略提供重要信息。

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