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Assessing the ecological risk to deep-sea megafaunal assemblages from seafloor massive sulfide mining using a functional traits sensitivity approach

机译:使用功能性状敏感性方法评估海底硫化物挖掘的深海Megafaunal组装的生态风险

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The deep sea is subject to multiple anthropogenic disturbances, to which may soon be added mining of hydrothermally-formed seafloor massive sulfides (SMS). As a first step towards a full Ecological Risk Assessment (ERA) for SMS mining, ecological sensitivity to mining activities was assessed based on the functional traits of benthic megafaunal taxa. Faunal distribution and abundance data at two different spatial scales (within seamount and within site) were used from two video surveys conducted at un-fished SMS deposit-hosting seamounts on the Kermadec Volcanic Arc, New Zealand. For each of the 157 taxa identified in the seamount and site surveys, sensitivity was scored for six functional traits: adult size, environmental position, living habit, feeding habit, mobility, and structural fragility. Sensitivity (very low, low, intermediate, high, very high) was scored separately for three mining disturbances: passage of mining vehicles along the seafloor, sediment plumes generated by mining activity, and mineral extraction. The effects of different abundance and diversity weightings on the results were explored and transformations chosen based on ecological rationale. Sensitivity to mining impacts was summed within samples and mapped to show the spatial distribution of sensitivity. Samples (assemblages) consisted of 173 individual 200 m transects for seamount survey data and 153 individual 15 m transects for site survey data. For both spatial scales, the sensitivity of taxa and the sensitivity summed within each sample (assemblage) was greatest to mineral extraction, followed by plume impacts, and least sensitive to vehicle impacts. The location of most very highly sensitive assemblages coincided with the occurrence of hydrothermal vent taxa or previously mapped locations for hydrothermally active habitat. Highly sensitive assemblages occurred at hydrothermally inactive sulfide structures, such as chimneys, and other locations where assemblages were dominated by fragile, sessile, suspension-feeding taxa, such as scleractinian branching corals. The approach taken here illustrates spatial patterns in sensitivity within seamounts and sites and provides an important first step towards a more comprehensive ERA. This type of assessment has the potential to inform decisions on spatial management of SMS mining activities, and the suitable placement of area-based management measures, such as protected areas.
机译:深海受到多种人为紊乱的影响,可能很快地添加了水热形成的海底大量硫化物(SMS)的开采。作为全面生态风险评估(时代)的第一步是短期开采的,基于底栖百叶草分类群的功能性状评估了对采矿活动的生态敏感性。在肯德克·火山弧,新西兰Kermadec火山弧上的未捕获短信寄存海山上进行的两次视频调查,使用了两种不同空间尺度的小组分布和丰富数据。对于在海山和现场调查中确定的157个分类群中的每一个,敏感性得到六个功能性状:成人大小,环境位置,生活习惯,喂养习惯,流动性和结构脆弱性。灵敏度(非常低,低,中间,高,非常高)分别进行三次采矿障碍:采矿车辆沿着海底,由采矿活性产生的沉积物,和矿物萃取。探讨了不同丰富和多样性权重对结果的影响,并根据生态学理由选择的转型。在样品中概括了对采矿影响的敏感性,并映射以显示灵敏度的空间分布。样品(组件)由173个单独的200米横断面组成,为Seamount测量数据和153个单独的15米横断网站调查数据。对于空间尺度来说,分类群的敏感性和每个样品(组件)的敏感性最大于矿物萃取,其次是羽流影响,对车辆撞击最小敏感。最高度敏感的组件的位置与热热排气征纳米或先前映射的水热源栖息地的位置相吻合。在水热不活性的硫化物结构中发生高敏感的组合,例如烟囱,以及组件由脆弱,无梗塞,悬浮料征征的组件,如硬梭菌分支珊瑚占主导地位的其他位置。这里采取的方法说明了海山和地点内灵敏度的空间模式,并为更全面的时代提供了重要的第一步。这种类型的评估有可能为短信挖掘活动的空间管理方面的决定,以及基于面积的管理措施(如保护区)的合适安置。

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