We studied the feeding habits of the pink shrimps Penaeus brasiliensis and P. paulensis in two tropical estuaries (Guanabara and Sepetiba bays) and on the continental shelf of Rio de Janeiro State, Brazil, by analysing 317 stomach contents and comparing diet composition among species, seasons (rainy and dry) and areas. Few stomachs (< 2%) were empty, indicating frequent feeding activity and high food supply. We detected more than 20 dietary categories, primarily crustaceans, molluscs, polychaetes, foraminiferans, benthic diatoms and particulate organic matter (POM). Crustaceans were the most consumed prey, both among species and areas. Dietary overlap between species for each area was > 90%. P. brasiliensis and P. paulensis exhibit generalist, opportunistic and predominantly carnivorous behaviour. Nevertheless, diet differed between species, seasons and areas based on proportional differences in prey consumption, with Cumacea, Bivalvia, Gastropoda, Amphipoda Caprellidade, Paguroidea and POM contributing most to dietary divergence. Temporally, we uncovered greater individual dietary variability in the dry season (winter). Furthermore, adult shrimp typically ingested larger prey, such as hermit crab and squid, than juveniles, reflecting niche divergence between these groups. As Guanabara and Sepetiba bays represent important and productive fishing areas for pink shrimps, this study will provide essential information for an ecosystem model to be used in a management programme for these fisheries resources.

我们研究了两个热带河口（瓜纳巴拉和塞佩蒂巴湾）和巴西里约热内卢州大陆架上的粉红虾 Penaeus brasiliensis 和 P. paulensis 的摄食习性，通过分析 317 只胃内容物和比较物种间的饮食组成，季节（雨季和旱季）和地区。很少有胃 (< 2%) 是空的，表明进食活动频繁且食物供应量高。我们检测到 20 多种饮食类别，主要是甲壳类动物、软体动物、多毛类动物、有孔虫类、底栖硅藻和颗粒有机物 (POM)。甲壳类动物是物种和区域中消耗最多的猎物。每个地区物种之间的饮食重叠 > 90%。P. brasiliensis和P. paulensis表现出多面手、投机取巧和以食肉为主的行为。然而，根据猎物消耗的比例差异，物种、季节和地区之间的饮食有所不同，Cumacea、Bivalvia、Gastropoda、Amphipoda Caprellidade、Paguroidea 和 POM 对饮食差异贡献最大。从时间上讲，我们发现旱季（冬季）的个体饮食差异更大。此外，成年虾通常比幼虾摄取更大的猎物，如寄居蟹和鱿鱼，反映出这些群体之间的生态位差异。由于 Guanabara 和 Sepetiba 海湾是粉红虾重要的高产捕捞区，因此本研究将为生态系统模型提供必要信息，以用于这些渔业资源的管理计划。