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首页> 外文期刊>Marine Biodiversity >Video transects are the most appropriate underwater visual census method for surveying high-latitude coral reef fishes in the southwestern Indian Ocean
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Video transects are the most appropriate underwater visual census method for surveying high-latitude coral reef fishes in the southwestern Indian Ocean

机译:视频样条线是调查西南印度洋高纬度珊瑚礁鱼类的最合适的水下视觉普查方法

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摘要

Pilot studies are used to assess different sampling and monitoring protocols when developing long-term monitoring programs (LTMPs). Considering that the ultimate goal of LTMPs is preservation-orientated, non-destructive sampling methods are favoured. For coral reef fishes, underwater visual censuses (UVCs) have become the method of choice for surveying shallow, highly-diverse reefs. This study assessed three different UVC transect types to monitor high-latitude western Indian Ocean coral reefs; these were slate, photo and video transects. Slate data were analysed with CountN (all fish observed), while footage from reviewable photo and video transects was analysed by both CountN and MaxN (a single frame with the most fish per species), resulting in an assessment of five transect-type analysis technique combinations; slate, photo-CountN, video-CountN, photo-MaxN and video-MaxN. Video-CountN transects had the highest estimates of richness and abundance, the lowest variability, and the most representative diversity. Video-CountN transects were also the most efficient in that the time taken to analyse footage was comparable to the other combinations considered, the proportion of unidentifiable individuals was low, and it required the lowest sample size to achieve an acceptable statistical power. Video-CountN transecting is therefore recommended as the most appropriate method for conducting UVCs of high-latitude coral reef fishes in the southwestern Indian Ocean.
机译:在制定长期监测计划(LTMP)时,先导研究用于评估不同的采样和监测方案。考虑到LTMP的最终目标是以保存为导向,因此倾向于使用无损采样方法。对于珊瑚鱼,水下视觉普查(UVC)已成为调查浅层,高度多样的礁石的首选方法。这项研究评估了三种不同的UVC横断面类型,以监测高纬度西印度洋的珊瑚礁。这些是石板,照片和视频样板。使用CountN(观察到所有鱼类)对板岩数据进行分析,同时使用CountN和MaxN(每个物种的鱼类最多的单个帧)对可审查的照片和视频横断面的镜头进行分析,从而评估了五种横断面类型分析技术组合;平板,photo-CountN,video-CountN,photo-MaxN和video-MaxN。 Video-CountN样条的丰富度和丰度估计值最高,变异性最低,多样性最具代表性。 Video-CountN样条也是最有效的,因为分析素材所需的时间与其他考虑的组合相当,无法识别的个体所占的比例很低,并且需要最低的样本量才能获得可接受的统计能力。因此,建议将Video-CountN横断作为在印度洋西南部对高纬度珊瑚礁鱼进行UVC的最合适方法。

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