Lauria V, Massi D, Fiorentino F, Milisenda G, Cillari T
IRBIM - Institute for Marine Biological Resources and Biotechnologies, National Research Council CNR (CNR), Mazara del Vallo, TP, Italy.
Zoological Station Anton Dohrn, Lungomare Cristoforo Colombo Complesso Roosevelt, 90149, Palermo, Italy.
Sci Rep. 2021 Aug 2;11(1):15661. doi: 10.1038/s41598-021-95256-4.
The black coral Leiopathes glaberrima is an important habitat forming species that supports benthic biodiversity. Due to its high sensitivity to fishing activities, it has been classified as indicator of Vulnerable Marine Ecosystems (VMEs). However, the information on its habitat selection and large-scale spatial distribution in the Mediterranean Sea is poor. In this study a thorough literature review on the occurrence of L. glaberrima across the Mediterranean Sea was undertaken. Predictive modelling was carried out to produce the first continuous map of L. glaberrima suitable habitat in the central sector of the Mediterranean Sea. MaxEnt modeling was used to predict L. glaberrima probability of presence as a function of seven environmental predictors (bathymetry, slope, aspect North-South and East-West, kinetic energy due to currents at the seabed, seabed habitat types and sea bottom temperature). Our results show that bathymetry, slope and aspect are the most important factors driving L. glaberrima spatial distribution, while in less extent the other environmental variables. This study adds relevant information on the spatial distribution of vulnerable deep water corals in relation to the environmental factors in the Mediterranean Sea. It provides an important background for marine spatial planning especially for prioritizing areas for the conservation of VMEs.
黑珊瑚Leiopathes glaberrima是一种重要的栖息地形成物种,支撑着底栖生物多样性。由于其对捕捞活动高度敏感,它已被列为脆弱海洋生态系统(VMEs)的指标物种。然而,关于其在地中海的栖息地选择和大规模空间分布的信息却很匮乏。在本研究中,我们对地中海地区黑珊瑚Leiopathes glaberrima的出现情况进行了全面的文献综述。进行了预测建模,以绘制地中海中部地区黑珊瑚Leiopathes glaberrima适宜栖息地的首张连续地图。使用最大熵模型(MaxEnt)来预测黑珊瑚Leiopathes glaberrima出现的概率,该概率是七个环境预测因子(水深、坡度、南北和东西方向、海底洋流产生的动能、海底栖息地类型和海底温度)的函数。我们的结果表明,水深、坡度和方向是驱动黑珊瑚Leiopathes glaberrima空间分布的最重要因素,而其他环境变量的影响程度较小。本研究增加了关于地中海脆弱深水珊瑚空间分布与环境因素关系的相关信息。它为海洋空间规划提供了重要背景,特别是为确定VMEs保护区域的优先级提供了依据。