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A 'quick And Clean' Photographic Method For The Description Of Coral Reef Habitats

机译:描述珊瑚礁栖息地的“快速而干净”的摄影方法

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The use of scuba-based photo/video methods for characterizing coral reef habitats has gained increased popularity within the last decade, but few work examined the potentiality of surface photography to provide accurate, reliable habitat profiles in contrasted habitats. Photo transects were thus conducted by snorkeling in contrasted reef biotopes (reef flat, reef crest, sandy bottom) from the south-west lagoon of New Caledonia, to develop and test a "quick and clean" approach suitable for addressing monitoring as well as research-oriented programs. Pictures were taken by a snorkeler from the surface over twelve (20×1 m) reef crest/reef flat/soft bottoms transects using a standard 8 Mpixel digital-camera with underwater housing. Habitats were characterized from percent covers for 15 categories of local habitat variables related to sediment type and substrate coverage. Exhaustive area analyses using computer-assisted manual digitalizing were used to provide reliable habitat profiles from the digital pictures. Results were subsequently compared with surface estimates derived from random stratified point count techniques, for numbers of points comprised between 1 and 99 per m~2. Sampling-based randomization techniques allowed us to provide robust, reliable statistical estimates of accuracy and precision over 1000 randomized bootstrap replicates per transect. Results emphasized high accuracy and precision at transect scale whatever the reef biotopes considered, with maximum deviations from reference values of ~ 1 percent cover in almost all cases and associated variances <0.001. From a practical point of view, using a 9 points/m~2 ratio clearly provided reliable, quantitative descriptions of our reef transects (maximal errors <1.5 percent cover with 95% confidence level). Cost-effectiveness is high, with 15-30 minutes/transect from field data collection (<10 min) to computation of final percent covers (10-20 min). The method outlined in this paper thus combines high statistical efficiency and logistical ease, and could be used to address more functional perspectives.
机译:在过去十年中,使用基于水肺的照片/视频方法来表征珊瑚礁栖息地的方法越来越受欢迎,但是很少有工作研究表面照相在对比的栖息地中提供准确,可靠的栖息地概况的潜力。因此,通过在新喀里多尼亚西南泻湖的对比礁生物群落(礁滩,礁顶,沙质底部)中浮潜来进行照片横断面,以开发和测试一种“快速,干净”的方法,适用于监测和研究面向程序。浮潜者使用带有水下外壳的标准8 Mpixel数码相机在十二个(20×1 m)礁顶/礁石平坦/软底横断面上从浮潜者处拍摄照片。根据与沉积物类型和底物覆盖率有关的15类局部生境变量的覆盖率来表征栖息地。使用计算机辅助手动数字化进行的穷举区域分析可用于从数字图片中提供可靠的栖息地概况。随后将结果与随机分层点计数技术得出的表面估计值进行比较,得出的点数介于1和99之间/ m〜2。基于采样的随机技术使我们能够为每个样例提供超过1000个随机引导程序重复的准确性和精密度的可靠,可靠的统计估计。结果强调,无论考虑到何种礁石生物群落,其断面尺度上的准确性和精确性都很高,在几乎所有情况下,与参考值的最大偏差约为1%,并且相关方差<0.001。从实用的角度来看,使用9点/ m〜2的比例显然可以可靠地,定量地描述我们的珊瑚礁样带(最大误差<1.5%覆盖,置信度为95%)。成本效益很高,从现场数据收集(<10分钟)到计算最终覆盖率(10-20分钟)需要15-30分钟/样板。因此,本文概述的方法结合了较高的统计效率和后勤便利性,可用于解决更多的功能性观点。

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