Department of Environmental Biology Fisheries Science, National Taiwan Ocean University, Keelung 202, Taiwan; Center of Excellence for the Oceans, National Taiwan Ocean University, Keelung 202, Taiwan.
Department of Environmental Biology Fisheries Science, National Taiwan Ocean University, Keelung 202, Taiwan; Center of Excellence for the Oceans, National Taiwan Ocean University, Keelung 202, Taiwan; Doctoral degree program in Ocean Resource and Environmental Changes, National Taiwan Ocean University, Keelung 202, Taiwan.
Mar Pollut Bull. 2023 Dec;197:115733. doi: 10.1016/j.marpolbul.2023.115733. Epub 2023 Nov 3.
The decline in the stock of the narrow-barred Spanish mackerel in the Taiwan Strait has sparked interest in conservation efforts. To optimize conservation and restoration efforts, it is crucial to understand their habitat preference in response to changing environments. In this study, ensemble modeling was used to investigate the seasonal distribution patterns of Spanish mackerel. Winter was identified as the most productive season, followed by fall; productivity was the lowest in summer. Five single-algorithm models were developed, and on the basis of their performance, four were selected for inclusion in an ensemble species distribution model. The spatial distribution of Spanish mackerel was primarily along the latitudinal range 23°-25°N in spring and summer. However, in fall and winter, the geographical range increased toward the southern region. The findings of this study will contribute to the understanding of this specific species and the approach used in this study may be applicable to other fisheries stocks also.
台湾海峡窄带马鲛鱼数量的减少引起了人们对保护工作的关注。为了优化保护和恢复工作，了解它们对环境变化的栖息地偏好至关重要。在这项研究中，使用集成模型来研究马鲛鱼的季节分布模式。冬季被确定为最具生产力的季节，其次是秋季；夏季的生产力最低。开发了五个单一算法模型，并根据其性能选择了四个模型纳入集成物种分布模型。马鲛鱼的空间分布主要集中在北纬 23°-25°的春夏季。然而，在秋季和冬季，地理范围向南扩展。本研究的结果将有助于了解这一特定物种，本研究中使用的方法也可能适用于其他渔业种群。
