Moyer Ryan P, Riegl Bernhard, Banks Kenneth, Dodge Richard E
Presently: University of Pennsylvania, Dept. of Earth and Environmental Science, 240 South 33rd Street, Philadelphia, PA 19104, USA.
Rev Biol Trop. 2005 May;53 Suppl 1:175-84.
The Atlantic coast of Broward County, Florida (USA) is paralleled by a series of progressively deeper, shore-parallel coral reef communities. Two of these reef systems are drowned early Holocene coral reefs of 5 ky and 7 ky uncorrected radiocarbon age. Despite the case of access to these reefs, and their major contribution to the local economy, accurate benthic habitat maps of the area are not available. Ecological studies have shown that different benthic communities (i.e. communities composed of different biological taxa) exist along several spatial gradients on all reefs. Since these studies are limited by time and spatial extent, acoustic surveys with the QTCView V bottom classification system based on a 50 kHz transducer were used as an alternative method of producing habitat maps. From the acoustic data of a 3.1 km(2) survey area, spatial prediction maps were created for the area. These were compared with habitat maps interpreted from in situ data and Laser Airborne Depth Sounder (LADS) bathymetry, in order to ground-truth the remotely sensed data. An error matrix was used to quantitatively determine the accuracy of the acoustically derived spatial prediction model against the maps derived from the in situ and LADS data sets. Confusion analysis of 100 random points showed that the system was able to distinguish areas of reef from areas of rubble and sand with an overall accuracy of 61%. When asked to detect more subtle spatial differences, for example, those between distinct reef communities, the classification was only about 40% accurate. We discuss to what degree a synthesis of acoustic and in situ techniques can provide accurate habitat maps in coral reef environments, and conclude that acoustic methods were able to reflect the spatial extent and composition of at least three different biological communities.
美国佛罗里达州布劳沃德县的大西洋海岸,与一系列逐渐加深、与海岸平行的珊瑚礁群落相邻。其中两个珊瑚礁系统是全新世早期被淹没的珊瑚礁,未经校正的放射性碳年龄分别为5千年和7千年。尽管这些珊瑚礁便于人们前往,且对当地经济有重大贡献,但该地区却没有精确的底栖生物栖息地地图。生态学研究表明,所有珊瑚礁上的不同底栖生物群落(即由不同生物分类群组成的群落)沿着几个空间梯度分布。由于这些研究受时间和空间范围的限制,因此使用基于50千赫换能器的QTCView V海底分类系统进行声学调查,作为绘制栖息地地图的替代方法。根据一个3.1平方千米调查区域的声学数据,为该区域创建了空间预测图。将这些图与根据实地数据和激光机载测深仪(LADS)测深数据解读的栖息地地图进行比较,以便对遥感数据进行实地验证。使用误差矩阵定量确定声学推导的空间预测模型相对于实地和LADS数据集得出的地图的准确性。对100个随机点的混淆分析表明,该系统能够以61%的总体准确率区分珊瑚礁区域与碎石和沙地。当要求检测更细微的空间差异时,例如不同珊瑚礁群落之间的差异,分类准确率仅约为40%。我们讨论了声学技术与实地技术的综合运用在多大程度上能够在珊瑚礁环境中提供准确的栖息地地图,并得出结论:声学方法能够反映至少三个不同生物群落的空间范围和组成。