海洋鱼类产量与气候和海洋学因素的关系:来自孟加拉国孟加拉湾的证据

IF 1.1 Q3 FISHERIES
Shanur Jahedul Hasan, Mohammad Mahfujul Haque, Md. Aktaruzzaman, Md. Mizbahul Noor Anower Kabir, Md. Saifullah Bin Aziz
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引用次数: 0

摘要

渔业部门是孟加拉国经济的基石,对国民生产总值(GDP)和出口收入做出了重大贡献。然而,由于各种原因,如过度开发、栖息地破坏、污染、气候变化和贫穷渔民的压力日益增加,其他海鱼的产量达不到国家的预期。本研究考察了孟加拉湾(BoB)考克斯巴扎尔海岸的海洋鱼类产量与气候和海洋学变量之间的关系。利用鱼类登陆中心收集的海鱼产量数据和卫星遥感数据,评估了5个不同种群的海鱼登陆与气候和海洋变量的关系。多元线性回归(MLR)模型被用来评估这些关系流入关键的分析步骤。分析表明,月平均降水量(LnPrecep)、相对湿度(LnRhdt)、海表温度(LnSST)、叶绿素- a浓度(LnChl)、盐度(ln盐度)和溶解氧(LnDo)等气候和海洋变量对5类海鱼(hilsa、chanda、鲭鱼、chanda和chanda)月登陆变化的解释能力分别为30.7%、46.10%、30.7%、40.4%和24.0%。丽塔和混合)在孟加拉国渔业发展公司(BFDC)的考克斯巴扎尔鱼类着陆中心。此外,这些因素解释了这五种鱼类每月总登陆量的38.8%的变异。所有模型均具有统计学显著性(p <;0.05)。然而,相对较低的R2值表明其他未考虑的因素,如人类压力,特别是贫穷渔民施加的捕捞压力增加,导致海洋鱼类产量减少。这些结果突出了北极地区气候和海洋学变量之间的关系,以及鱼类上岸量或海洋鱼类产量之间的关系,强调需要进行进一步的研究,包括日益增长的捕捞压力,以支持可持续的海洋渔业管理。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Relationship Between Marine Fish Production and Climatic and Oceanographic Factors: Evidence From the Bay of Bengal, Bangladesh

Relationship Between Marine Fish Production and Climatic and Oceanographic Factors: Evidence From the Bay of Bengal, Bangladesh

The fisheries sector is a cornerstone of Bangladesh's economy, contributing significantly to national gross domestic product (GDP) and export earnings. However, the production of other marine fish falls short of national expectations due to various reasons, such as overexploitation, destruction of habitat, pollution, climate change and increasing pressure of poor fishers. This study examines the relationships between marine fish production, and climatic and oceanographic variables along the Cox's Bazar coast in the Bay of Bengal (BoB). Utilizing marine fish production data collected from fish landing centre, and satellite remote sensing data, the study evaluates the relationship between marine fish landing of five different groups and climatic and oceanographic variables. Multiple linear regression (MLR) models were employed to assess these relationships flowing into key analytical steps. The analysis revealed that certain climatic and oceanographic variables, including monthly average precipitation (LnPrecep), relative humidity (LnRhdt), sea surface temperature (LnSST), chlorophyll-A concentration (LnChl), salinity (LnSalinity) and dissolved oxygen (LnDo), have a combined explanatory power of 30.7, 46.10, 30.7, 40.4 and 24.0%, respectively, for the observed variability in monthly landing of five groups of marine fishes (hilsa, chanda, mackerel, rita and mixed) at Bangladesh Fisheries Development Corporation (BFDC)'s fish landing centre of Cox's Bazar. Additionally, these factors explain 38.8% of the variability in the total monthly landing of these five kinds of fishes combined. All the models were found to be statistically significant (p < 0.05). However, the relatively low R2 values indicate other unaccounted factors, such as human pressure, particularly the increasing fishing pressure exerted by poor fishers contributing to reduction of marine fish production. These results highlight the relationships of climatic and oceanographic variables, and the volume of fish landings, or marine fish production, in the BoB, emphasizing the need for further research that includes growing fishing pressure to support sustainable marine fisheries management.

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