Estimating surface area of sponges and gorgonians as indicators of habitat availability on Caribbean coral reefs
Estimating surface area of sponges and gorgonians as indicators of habitat availability on Caribbean coral reefs
复制标题
估计海绵和柳珊瑚的表面积作为加勒比珊瑚礁栖息地可用性的指标
DOI：
10.1007/s10750-012-1359-7
复制
发表时间：
2013
期刊：
影响因子：
2.6
通讯作者：
S. Jordan
中科院分区：
文献类型：
--
作者：
D. Santavy;L. Courtney;W. Fisher;Robert L. Quarles;S. Jordan
本文提出了一种通过野外测量海洋柳珊瑚和海绵群落的高度、直径和形态来快速估算其三维表面积（SA）的方法，作为鱼类和无脊椎动物栖息地可用性的指标。根据现场测量、专家判断和分类学文献整理海绵和柳橙的菌落特征，利用计算机辅助设计软件生成三维图像。这些图像被用来测试各种统计模型和几何替代品，这些模型和几何替代品仅使用高度和直径测量来最好地估计SA。根据大西洋中西部浅海（深度<25 m）中常见的海绵和柳珊瑚的形状和相对比例，设计了一种形态分类系统。回归模型（线性、二次或三次）被发现比几何替代模型更健壮，在极值范围表现出更高的准确性。统计模型解释了90%以上的SA变化，预测误差小于20%。给出了8种海绵形态和9种柳珊瑚形态的最佳SA估计模型。将这些方法与现有的石珊瑚SA估计方法相结合，可以作为结构生境可利用性的指标，而结构生境可利用性是珊瑚礁重要的生态系统服务功能。
A rapid method to estimate the three-dimensional (3D) surface area (SA) of marine gorgonians and sponges from field measurements of colony height, diameter, and morphology was developed as an indicator of habitat availability for fish and invertebrates. Colony characteristics for sponges and gorgonians were compiled from field measurements, expert judgment, and taxonomic literature, and employed to generate 3D images using computer-aided design software. The images were used to test various statistical models and geometric surrogates that best estimated SA using only height and diameter measurements. A morphological classification system was devised using shapes and relative proportions of sponges and gorgonians which are commonly found in shallow waters (<25 m depth) of the Central Western Atlantic Ocean. Regression models (linear, quadratic, or cubic) were found to be more robust than geometric surrogates, exhibiting greater accuracy at range extremes. Statistical models explained over 90% of the variation in SA and forecast errors of less than 20%. The best models for estimating SA are presented for eight sponge and nine gorgonian morphologies. Application of these methods with existing estimators for stony corals SA can be used as an indicator of structural habitat availability, which is an important ecosystem service of coral reefs.