Rosenstiel School of Marine and Atmospheric Science, Division of Marine Biology and Fisheries, University of Miami, 4600 Rickenbacker Causeway, Miami, FL 33149, USA.
Environ Monit Assess. 2011 Dec;183(1-4):121-38. doi: 10.1007/s10661-011-1912-2. Epub 2011 Mar 11.
Principles of probability survey design were applied to guide large-scale sampling of populations of stony corals and associated benthic taxa in the Florida Keys coral reef ecosystem. The survey employed a two-stage stratified random sampling design that partitioned the 251-km(2) domain by reef habitat types, geographic regions, and management zones. Estimates of the coefficient of variation (ratio of standard error to the mean) for stony coral population density and abundance ranged from 7% to 12% for four of six principal species. These levels of survey precision are among the highest reported for comparable surveys of marine species. Relatively precise estimates were also obtained for octocoral density, sponge frequency of occurrence, and benthic cover of algae and invertebrates. Probabilistic survey design techniques provided a robust framework for estimating population-level metrics and optimizing sampling efficiency.
概率调查设计原则被应用于指导佛罗里达礁岛群生态系统中石珊瑚及其相关底栖生物类群的大规模抽样。该调查采用了两阶段分层随机抽样设计，通过珊瑚礁生境类型、地理区域和管理区域对 251 平方公里的区域进行分区。对于六种主要物种中的四种，石珊瑚种群密度和丰度的变异系数（标准误差与平均值的比值）估计值在 7%至 12%之间。这些调查精度水平是同类海洋物种调查中最高的之一。在八放珊瑚密度、海绵出现频率以及藻类和无脊椎动物的底栖覆盖方面，也获得了相对精确的估计。概率调查设计技术为估计种群水平指标和优化采样效率提供了一个强大的框架。
