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中西太平洋鲣鱼(Katsuwonus pelamis)渔获量的潜在可预测性。

Potential predictability of skipjack tuna (Katsuwonus pelamis) catches in the Western Central Pacific.

机构信息

School of Earth and Environmental Sciences, Seoul National University, Seoul, Republic of Korea.

Research Institute of Oceanography, Seoul National University, Seoul, Republic of Korea.

出版信息

Sci Rep. 2020 Feb 21;10(1):3193. doi: 10.1038/s41598-020-59947-8.

Abstract

The Pacific Island countries have a substantial socio-economic dependency on fisheries. Skipjack tuna is one of the most important species in the Western Central Pacific (WCP) and its catches in this region exhibit a spatio-temporal variability influenced by ocean conditions, mainly the El Niño-Southern Oscillation (ENSO). This study investigates the relationship between skipjack tuna catch amounts and environmental variables in the equatorial Pacific during 1990-2014, and evaluates the potential predictability of the catches based on their statistical relationship. A series of regressed and reconstructed spatial patterns of upper-ocean temperature, salinity, currents and precipitation represent ENSO-like variability, and their principal component time series are used to estimate the predictability of skipjack tuna catches in the Federated States of Micronesia (FSM). ENSO-like variability depicted from 100 m temperature and 5 m salinity in the equatorial Pacific exhibit a significant predictability for the annual catch amount in the FSM for several years with a training period of > 20 years. This suggests that the subsurface temperature or near surface salinity can be a better predictor of ecosystem variability than widely used sea surface temperature. Applications of this result to other species could have broad implications for the fishery industry in the WCP.

摘要

太平洋岛屿国家在社会经济上高度依赖渔业。金枪鱼是中西太平洋(WCP)最重要的物种之一,该地区金枪鱼的捕捞量存在时空变化,主要受海洋条件影响,特别是厄尔尼诺-南方涛动(ENSO)。本研究调查了 1990-2014 年期间赤道太平洋金枪鱼捕捞量与环境变量之间的关系,并根据它们的统计关系评估了捕捞量的潜在可预测性。一系列回归和重建的上层海洋温度、盐度、海流和降水空间模式代表了 ENSO 样变异性,其主要成分时间序列用于估计密克罗尼西亚联邦(FSM)金枪鱼捕捞量的可预测性。从赤道太平洋 100 米温度和 5 米盐度得出的 ENSO 样变异性,对 FSM 的年捕捞量具有显著的可预测性,其训练期超过 20 年。这表明,与广泛使用的海面温度相比,次表层温度或近表层盐度可能是更好的生态系统变异性预测指标。这一结果在其他物种中的应用可能对 WCP 的渔业产生广泛影响。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/45cf/7035267/e6cc81741669/41598_2020_59947_Fig1_HTML.jpg

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