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A Rapid Ecological Assessment (REA) Quantitative Survey Method for Benthic Algae Using Photoquadrats with Scuba

机译:利用水文光学技术进行底栖藻类快速生态评估(REa)定量测量方法

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摘要

The challenge of assessing seldom-visited, benthic substrates hascreated the need for a method to describe benthic communities quickly and efficiently.Macroscale rapid ecological assessments (REAs) of algal assemblagesprovide managers of coral reefs and other benthic ecosystems with the fundamentaldescriptive data necessary for continued yearly monitoring studies. Thehigh cost of monitoring marine communities, especially remote sites, coupledwith the time limitations imposed by scuba, require that statistically valid data becollected as quickly as possible. A photoquadrat method using a digital camera,computer software for photographic analysis, and minimal data collection inthe field was compared with the conventional method of point-intersect (grid)quadrats in estimating percentage cover in subtidal benthic communities. Intimed studies, photoquadrats yielded twice the number of quadrats (and an almostinfinite number of data points) as conventional methods, provided permanenthistorical records of each site, and minimized observer bias by having onlyone observer identifying algae in the field. However, photoquadrats requiredmore post-collection computer analyses of digital photographs than conventionalmethods. In the manual method, observer bias in algal identification can occurdepending on the degree of experience of individual divers. On the other hand,photoquadrats rely on one observer in the field and one observer in the laboratory,standardizing algal identification. Overall, photoquadrats do not yield thefiner resolution in diversity that was found using point-intersect quadrats but doprovide a more precise estimate of percentage cover of the abundant species, aswell as establishing a permanent visual record in the time allowed by work withother teams.
机译:评估很少参观的底栖生物的挑战提出了一种快速有效地描述底栖动物群落的方法的需要。藻类组合的大尺度快速生态评估(REAs)为珊瑚礁和其他底栖生物生态系统的管理者提供了每年持续进行所需的基本描述性数据监测研究。监视海洋社区,尤其是偏远地区的高昂成本,加上水肺潜水带来的时间限制,要求尽快收集统计上有效的数据。将使用数码相机,计算机软件进行照片分析和在现场进行最少数据收集的光四方法与常规点交(网格)四方法估算潮下底栖生物群落的覆盖率进行了比较。在及时的研究中,光敏四足动物产生的四倍体数量(和几乎无限数量的数据点)是传统方法的两倍,提供了每个站点的永久历史记录,并通过仅由一个观察者识别野外藻类而将观察者的偏见降到最低。但是,与传统方法相比,照片四方库需要对数码照片进行更多的收集后计算机分析。在手动方法中,观察者在藻类鉴定中可能会出现偏差,具体取决于各个潜水员的经验程度。另一方面,光敏四方依赖于现场的一名观察员和实验室的一名观察员,从而使藻类鉴定标准化。总体而言,光四方体不会产生使用点相交四方方体发现的更精细的分辨率,但可以更准确地估计丰富物种的覆盖率,并在与其他团队合作的时间内建立永久的视觉记录。

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