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利用集合模型模拟北太平洋公海鲐鱼(Scomber japonicus)生境适宜性在中长期未来气候情景下的变化。

Simulating the changes of the habitats suitability of chub mackerel (Scomber japonicus) in the high seas of the North Pacific Ocean using ensemble models under medium to long-term future climate scenarios.

机构信息

Key Laboratory of Oceanic and Polar Fisheries, Ministry of Agriculture and Rural Affairs, China; East China Sea Fisheries Research Institute, Chinese Academy of Fishery Sciences, Shanghai 200090, China; Laoshan Laboratory of Qingdao Marine Science and Technology Center, Qingdao, China; College of Marine Living Resource Sciences and Management, Shanghai Ocean University, Shanghai, China.

Key Laboratory of Oceanic and Polar Fisheries, Ministry of Agriculture and Rural Affairs, China; East China Sea Fisheries Research Institute, Chinese Academy of Fishery Sciences, Shanghai 200090, China; Laoshan Laboratory of Qingdao Marine Science and Technology Center, Qingdao, China.

出版信息

Mar Pollut Bull. 2024 Oct;207:116873. doi: 10.1016/j.marpolbul.2024.116873. Epub 2024 Aug 24.

Abstract

Understanding and forecasting changes in marine habitats due to global climate warming is crucial for sustainable fisheries. Using future environmental data provided by Global Climate Models (GCMs) and occurrence records of Chub mackerel in the North Pacific Ocean (2014-2023), we built eight individual models and four ensemble models to simulate current habitat distribution and forecast changes under three future climate scenarios (SSP1-2.6, SSP2-4.5, SSP5-8.5) for the 2050s and 2100s. Ensemble models outperformed individual ones, with the weighted average algorithm model achieving the highest accuracy (AUC 0.994, TSS 0.929). Sea Surface Temperature (SST) and chlorophyll-a (Chla) significantly influenced habitat distribution. Predictions indicate current high suitability areas for Chub mackerel are concentrated beyond the 200-nautical-mile baseline. Under future climate scenarios, habitat suitability is expected to decline, with a shift towards higher latitudes and deeper waters. High suitability areas will be significantly reduced.

摘要

了解和预测全球气候变暖导致的海洋生境变化对于可持续渔业至关重要。本研究利用全球气候模式(GCMs)提供的未来环境数据和北太平洋鲐鱼的出现记录(2014-2023 年),构建了 8 个个体模型和 4 个集合模型,以模拟当前的生境分布,并预测在三个未来气候情景(SSP1-2.6、SSP2-4.5、SSP5-8.5)下,2050 年代和 2100 年代的变化。集合模型的表现优于个体模型,其中加权平均算法模型的准确性最高(AUC 为 0.994,TSS 为 0.929)。海表温度(SST)和叶绿素-a(Chla)对生境分布有显著影响。预测表明,当前鲐鱼高适宜度的区域集中在 200 海里基线以外。在未来的气候情景下,生境适宜度预计会下降,向更高的纬度和更深的水域转移。高适宜度区域将显著减少。

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