Investigating the relationship between species and environmental conditions is key for the correct management of highly migratory large pelagic species like silky shark (Carcharhinus falciformis). This species is currently ranked as vulnerable by the International Union for Conservation of Nature and the population trend may be decreasing globally. Tuna fisheries annually catch around 5 million tons worldwide but may have effects on the ecosystem, including impacts on certain sensitive non-target species. We provide the first insights into the environmental preferences of silky shark in the Atlantic Ocean by modelling their presence from tropical tuna purse seine observer data (~ 7500 fishing sets between 2003 and 2015) with a set of biotic and abiotic oceanographic factors, spatial–temporal terms and fishing operation variables. Oceanographic data (sea surface temperature, sea surface temperature change, salinity, sea surface height, chlorophyll-a, chlorophyll-a change, oxygen, and current information such as speed, direction and eddy kinetic energy) were downloaded and processed from the EU Copernicus Marine Environment Monitoring Service. Results provide information on the hotspots dynamics of silky shark as well as its habitat preferences. Models detected a significant relationship between seasonal upwelling events, mesoscale features and silky shark presence and suggested strong interaction between productive systems and the spatial–temporal distribution of the species. The model also highlighted both persistent (i.e. Gabon) and temporary areas (i.e. Guinea and southern-central tropical Atlantic Ocean) for silky shark in the region. This information could be used to assist tuna regional fisheries management organizations in the conservation and management of this vulnerable non-target species.

调查物种与环境条件之间的关系是正确管理高度迁徙的大型远洋物种（如丝鲨（Carcharhinus falciformis）的关键）。国际自然保护联盟目前将该物种列为易感物种，全球范围内的种群趋势可能正在减少。金枪鱼渔业每年在世界范围内捕捞约500万吨，但可能对生态系统产生影响，包括对某些敏感的非目标物种的影响。通过根据热带金枪鱼围网观察者数据（2003年至2015年约7500个钓鱼场）和一组生物和非生物海洋学因素（时空分布）对它们的存在进行建模，我们提供了有关大西洋丝质鲨鱼的环境偏好的第一见。术语和捕鱼操作变量。海洋学数据（海面温度，海面温度变化，盐度，海面高度，叶绿素a，叶绿素a变化，氧气和当前信息，例如速度，方向和涡动能）已从欧盟哥白尼海洋环境监测服务中心下载并处理。结果提供了有关丝鲨的热点动态及其栖息地偏好的信息。模型检测到季节性上升事件，中尺度特征和丝鲨的存在之间存在显着关系，并表明生产系统与物种的时空分布之间存在强相互作用。该模型还强调了该地区柔滑鲨鱼的持久区域（即加蓬）和临时区域（即几内亚和中南部热带大西洋）。这些信息可用于协助金枪鱼区域渔业管理组织保护和管理这一脆弱的非目标物种。