Department of Biological, Geological and Environmental Sciences, Laboratory of Marine Biology and Fisheries, University of Bologna, Fano, Italy.
Department of Integrative Marine Ecology (EMI), Stazione Zoologica Anton Dohrn, National Institute of Biology, Ecology and Marine Biotechnology, Sicily Marine Centre, Messina, Italy.
PLoS One. 2024 Mar 22;19(3):e0289999. doi: 10.1371/journal.pone.0289999. eCollection 2024.
Understanding how environmental factors affect species distribution is crucial for the conservation and management of marine organisms, especially in the face of global changes. Whiting (Merlangius merlangus) is a demersal cold-temperate fish, considered a 'relict species' in the Adriatic Sea. Despite its significance to commercial fisheries in the region, the specific drivers behind its spatial and temporal patterns have not been thoroughly examined. Here, we fitted a set of Generalized Linear Mixed Effects Models to data collected in the Northern and Central Adriatic from 1999 to 2019 during the Mediterranean International Trawl Survey to investigate the potential influence of depth, seafloor temperature and seafloor dissolved oxygen on the annual biomass density and spatial distribution of whiting in the spring-summer season. Our results showed that depth, and to a lesser degree temperature and oxygen, are important predictors of whiting distribution in this period, with preferences for depths of ~ 45 m, temperature of ~ 15.4°C and dissolved oxygen > 5.5 ml L-1. We predicted a persistent core area of distribution in front of the Po River Delta, in the Northern Adriatic Sea, while the density progressively declined towards the Central and Southern Adriatic Sea along the Italian coast. Additionally, the temporal trend exhibited high fluctuations over the years, occurring in cycles of 3 to 4 years. Finally, by comparing the biomass density estimates obtained under optimal conditions with those derived from the actual values for each variable, our analysis revealed that temperature had a pronounced and general impact on biomass density in the northern survey area (predictions revealed a density reduction of approximately two-thirds), while oxygen displayed a minor and more localized influence. This work deepens the current knowledge about the ecology of whiting in the Adriatic Sea and provides support for the conservation and management of this species.
了解环境因素如何影响物种分布对于保护和管理海洋生物至关重要,特别是在面对全球变化的情况下。鲱鱼(Merlangius merlangus)是一种底栖冷水性鱼类,被认为是亚得里亚海的“遗留物种”。尽管它对该地区的商业渔业具有重要意义,但尚未彻底研究其时空模式背后的具体驱动因素。在这里,我们使用一套广义线性混合效应模型来分析 1999 年至 2019 年在亚得里亚海北部和中部进行的地中海国际拖网调查期间收集的数据,以调查深度、海底温度和海底溶解氧对鲱鱼在春季-夏季的年度生物量密度和空间分布的潜在影响。我们的研究结果表明,深度以及在较小程度上的温度和氧气是该时期鲱鱼分布的重要预测因子,其偏好深度约为 45 米、温度约为 15.4°C 和溶解氧>5.5ml L-1。我们预测在亚得里亚海北部的波河三角洲前存在一个持久的核心分布区,而在意大利沿海的中部和南部亚得里亚海,密度逐渐下降。此外,该时期的时间趋势多年来波动较大,以 3 到 4 年为一个周期。最后,通过将在最佳条件下获得的生物量密度估计值与每个变量的实际值得出的估计值进行比较,我们的分析表明温度对北部调查区域的生物量密度有显著而普遍的影响(预测显示密度降低了约三分之二),而氧气的影响较小且更局部。这项工作加深了我们对亚得里亚海鲱鱼生态学的认识,并为保护和管理该物种提供了支持。