Predicting suitable habitat for deep-water gorgonian corals on the Atlantic and Pacific Continental Margins of North America
Predicting suitable habitat for deep-water gorgonian corals on the Atlantic and Pacific Continental Margins of North America
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DOI：
10.3354/meps330113
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发表时间：
2007-01-01
影响因子：
2.5
通讯作者：
Metaxas, Anna
中科院分区：
文献类型：
--
作者：
Bryan, Tanya L.;Metaxas, Anna
绘制海洋生境和物种分布图对于养护和资源管理至关重要。然而，绘制这种地图对于采样率低的深海物种来说尤其具有挑战性。在这项研究中，我们探讨了空间适宜性的深水珊瑚（家庭Paragorgiidae和Primnoidae）栖息地的太平洋和大西洋大陆边缘的北美（PCM和ACM）使用Biomapper，建模程序，可以确定栖息地的适宜性使用存在的数据。PCM研究区域分为2个区域，以限制模拟区域的地理大小：PCM：AK，包括阿拉斯加; PCM：BC-CA，包括不列颠哥伦比亚省、华盛顿、俄勒冈州和加州。根据物理海景因子与生物数据之间的定量关系，确定适宜生境。对于PCM研究区，最准确的模式Paragorgiidae在PCM：AK结合温度，斜率，电流和叶绿素（chl）浓度（斯皮尔曼的rho = 0.79），而在PCM：BC-CA它结合深度和chl浓度（rho = 0.66）。对于Primnoidae，在PCM：AK中，最准确的组合包括深度、坡度、海流和叶绿素a浓度（rho = 0.90），而在PCM：BC-CA中，最准确的组合包括深度、温度、坡度和海流（rho = 0.85）。在ACM研究区，最准确的模型Paragorgiidae结合温度，斜率和叶绿素a浓度（rho = 0.71），而一个Primnoidae结合温度，斜率，电流和叶绿素a浓度（rho = 0.74）。在这两个研究区域，珊瑚预计将出现在地形复杂的地区，主要是沿着大陆架断裂处和海山。敏感性分析表明，预测的平均值的海景因素，在珊瑚栖息地以及生态位宽度，不同数量的珊瑚位置，但在较小的程度上与空间分辨率。据我们所知，这是第一项使用生物地图预测海洋物种适宜栖息地的研究。
Mapping marine habitats and species distributions is essential in conservation and resource management. The generation of such maps, however, is particularly challenging for the poorly sampled deep-sea species. In this study, we explored the spatial suitability of deep-water coral (Families Paragorgiidae and Primnoidae) habitat on both the Pacific and Atlantic Continental Margins of North America (PCM and ACM) using Biomapper, a modeling program which can determine habitat suitability using presence-only data. The PCM study area was divided into 2 regions to limit the geographic size of the modelled area: PCM:AK, which encompasses Alaska and PCM:BC-CA, which encompasses British Columbia, Washington, Oregon, and California. Suitable habitat was determined based on quantitative relationships between physical seascape factors and biological data. For the PCM study area, the most accurate model for Paragorgiidae in PCM:AK combined temperature, slope, current and chlorophyll (chl) a concentration (Spearman's rho = 0.79), whereas in the PCM:BC-CA it combined depth and chl a concentration (rho = 0.66). For Primnoidae, in the PCM:AK the most accurate combination included depth, slope, current and chl a concentration (rho = 0.90), and in the PCM:BC-CA, it included depth, temperature, slope and current (rho = 0.85). In the ACM study area, the most accurate model for Paragorgiidae combined temperature, slope and chl a concentration (rho = 0.71), whereas the one for Primnoidae combined temperature, slope, current and chl a concentration (rho = 0.74). In both study areas, corals were predicted to occur in areas of complex topography, mainly along the continental shelf break and on seamounts. Sensitivity analyses indicated that predicted mean values of seascape factors, in coral habitat as well as niche breadth, varied with number of coral locations, but to a much lesser extent with spatial resolution. To our knowledge, this is the first study to use Biomapper for the prediction of suitable habitat in marine species.