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A Restoration Suitability Index Model for the Eastern Oyster (Crassostrea virginica) in the Mission-Aransas Estuary, TX, USA

机译:美国得克萨斯州阿兰萨斯河口东部牡蛎(Crassostrea virginica)的恢复适宜性指数模型

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摘要

Oyster reefs are one of the most threatened marine habitats on earth, with habitat loss resulting from water quality degradation, coastal development, destructive fishing practices, overfishing, and storm impacts. For successful and sustainable oyster reef restoration efforts, it is necessary to choose sites that support long-term growth and survival of oysters. Selection of suitable sites is critically important as it can greatly influence mortality factors and may largely determine the ultimate success of the restoration project. The application of Geographic Information Systems (GIS) provides an effective methodology for identifying suitable sites for oyster reef restoration and removes much of the uncertainty involved in the sometimes trial and error selection process. This approach also provides an objective and quantitative tool for planning future oyster reef restoration efforts. The aim of this study was to develop a restoration suitability index model and reef quality index model to characterize locations based on their potential for successful reef restoration within the Mission-Aransas Estuary, Texas, USA. The restoration suitability index model focuses on salinity, temperature, turbidity, dissolved oxygen, and depth, while the reef quality index model focuses on abundance of live oysters, dead shell, and spat. Size-specific Perkinsus marinus infection levels were mapped to illustrate general disease trends. This application was effective in identifying suitable sites for oyster reef restoration, is flexible in its use, and provides a mechanism for considering alternative approaches. The end product is a practical decision-support tool that can be used by coastal resource managers to improve oyster restoration efforts. As oyster reef restoration activities continue at small and large-scales, site selection criteria are critical for assisting stakeholders and managers and for maximizing long-term sustainability of oyster resources.
机译:牡蛎礁是地球上受威胁最大的海洋栖息地之一,其栖息地丧失是由于水质下降,沿海地区发展,破坏性的捕捞活动,过度捕捞和风暴影响而造成的。为了成功而可持续地进行牡蛎礁修复工作,有必要选择能够长期支持牡蛎生长和生存的场所。选择合适的地点至关重要,因为它会极大地影响死亡率因素,并可能在很大程度上决定恢复项目的最终成功。地理信息系统(GIS)的应用提供了一种有效的方法,可以确定合适的牡蛎礁恢复地点,并消除了有时反复试验和选择过程中涉及的许多不确定因素。这种方法还为计划未来的牡蛎礁恢复工作提供了客观和定量的工具。这项研究的目的是开发一种恢复适宜性指数模型和礁石质量指数模型,以根据其在美国德克萨斯州米申-阿兰萨斯河口内成功进行礁石复原的潜力来表征位置。恢复适宜性指标模型的重点是盐度,温度,浊度,溶解氧和深度,而礁石质量指标模型的重点是活牡蛎,死壳和吐司的丰度。绘制了大小特定的珀金斯海藻感染水平,以说明总体疾病趋势。该申请有效地确定了牡蛎礁恢复的合适地点,使用灵活,并提供了考虑替代方法的机制。最终产品是一种实用的决策支持工具,沿海资源管理者可以使用它来改善牡蛎的恢复工作。随着牡蛎礁恢复活动的规模不断扩大,选址标准对于协助利益相关者和管理者以及最大化牡蛎资源的长期可持续性至关重要。

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