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首页> 外文期刊>Ecological Modelling >Evaluating spatio-temporal dynamics of multiple fisheries-targeted populations simultaneously: A case study of the Bohai Sea ecosystem in China
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Evaluating spatio-temporal dynamics of multiple fisheries-targeted populations simultaneously: A case study of the Bohai Sea ecosystem in China

机译:同时评估多种渔业针对群体的时空动态:中国渤海生态系统的案例研究

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摘要

Development of joint species distribution models allows for improved and simultaneous estimates of various metrics for evaluating spatio-temporal patterns in multi-population dynamics, as essential tools for promoting ecosystem management and conservation. However, such tools are rarely used to simultaneously evaluate the spatio-temporal dynamics of multiple fisheries-targeted populations in an ecosystem. This study aims to fill this gap with a case study of the Bohai Sea in China. A joint dynamic species distribution model was developed to estimate the distributions of 13 major fish and invertebrate populations in the Bohai Sea, using data from bottom trawl surveys conducted in spring during 2014 to 2018. We calculated the spatial ranges (i.e., the distance within which correlation coefficients between locations are always larger than 10%) for spatial variation and spatio-temporal variation in species-specific densities of this fished community. The model-based density estimates for these populations were used to calculate the mean center of density, effective area occupied, and total abundance index for each population by year. Results showed that the spatial ranges were respectively 84 km and 94 km for spatial and spatio-temporal variation in the distributions of targeted populations, suggesting large variability in the community structure at a distance >100 km. Fish populations showed larger fluctuations in the mean center of density and effective area occupied than crustaceans and cephalopods, while most of the 13 populations tended to shift northeastward to deeper waters over the five years. Additionally, 12 of the 13 populations showed a sharp increase in total abundance in the spring of 2017 under the force of increasingly conservational fisheries management since 2017. In 2018, the total abundance indices remained high for most fish populations, but showed an abrupt decrease for all six of the invertebrate populations. These results indicate that major fish and invertebrate populations in a simplified ecosystem could differ in their responses to habitat changes, management or other human activities in a rapid manner, suggesting a demand for adaptive fisheries management at system scale for degraded/declining ecosystems worldwide.
机译:联合物种分布模型的开发允许改进和同时估计各种度量,用于评估多人物动态中的时空模式,作为促进生态系统管理和保护的基本工具。然而,这种工具很少用于同时评估生态系统中的多个渔业目标群体的时空动态。本研究旨在通过对中国渤海的案例研究来填补这一差距。开发了一个关节动态物种分布模型,以估算渤海的13个主要鱼类和无脊椎动物种群的分布,从2014年至2018年春天进行的底部拖网调查中的数据计算。我们计算了空间范围(即,其中的距离位置之间的相关系数始终大于10%),用于该捕捞社区的物种特异性密度的空间变化和时空变化。这些群体的基于模型的密度估计用于计算每年占据的平均密度,有效面积,以及每年的总丰富指数。结果表明,空间范围分别为84公里,为目标种群分布的空间和时空变化分别为84公里,建议在距离> 100公里处的社区结构中的大变异性。鱼群在比甲壳类动物和头部占据的密度和有效面积的平均中心较大波动,而大多数13个种群在五年内倾向于向东北移动到深处的深水。此外,13个种群中的12个人群在2017年以来的越来越保护的渔业管理的武力下,2017年春季的总量大幅增加。2018年,大多数鱼群的丰富指数仍然很高,但突然下降所有六个无脊椎动物种群。这些结果表明,简化生态系统中的主要鱼类和无脊椎动物群体可以在快速的方式对栖息地改变,管理或其他人类活动的反应方面有所不同,这表明在全世界的改变/下降生态系统的系统规模上提出了对自适应渔业管理的需求。

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