...
  • 主题
高级搜索  >
历史搜索 清空历史
首页> 外文期刊>Estuarine Coastal and Shelf Science >Environmental influence on mussel (Mytilus edulis) growth - A quantile regression approach
【24h】

Environmental influence on mussel (Mytilus edulis) growth - A quantile regression approach

机译：环境对贻贝（Mytilus edulis）生长的影响-分位数回归方法

获取原文
获取原文并翻译 | 示例
           
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

The need for methods for sustainable management and use of coastal ecosystems has increased in the last century. A key aspect for obtaining ecologically and economically sustainable aquaculture in threatened coastal areas is the requirement of geographic information of growth and potential production capacity. Growth varies over time and space and depends on a complex pattern of interactions between the bivalve and a diverse range of environmental factors (e.g. temperature, salinity, food availability). Understanding these processes and modelling the environmental control of bivalve growth has been central in aquaculture. In contrast to the most conventional modelling techniques, quantile regression can handle cases where not all factors are measured and provide the possibility to estimate the effect at different levels of the response distribution and give therefore a more complete picture of the relationship between environmental factors and biological response. Observation of the relationships between environmental factors and growth of the bivalve Mytilus edulis revealed relationships that varied both among level of growth rate and within the range of environmental variables along the Swedish west coast. The strongest patterns were found for water oxygen concentration level which had a negative effect on growth for all oxygen levels and growth levels. However, these patterns coincided with differences in growth among periods and very little of the remaining variability within periods could be explained indicating that interactive processes masked the importance of the individual variables. By using quantile regression and local regression (LOESS) this study was able to provide valuable information on environmental factors influencing the growth of M. edulis and important insight for the development of ecosystem based management tools of aquaculture activities, its use in mitigation efforts and successful management of human use of coastal areas. (C) 2016 Elsevier Ltd. All rights reserved.
机译：在上个世纪，对可持续管理和利用沿海生态系统的方法的需求增加了。在受威胁的沿海地区获得生态和经济上可持续的水产养殖的一个关键方面是对增长和潜在生产能力的地理信息的需求。生长随时间和空间而变化，并且取决于双壳类动物与多种环境因素（例如温度，盐度，食物供应量）之间相互作用的复杂模式。了解这些过程并为双壳类动物生长的环境控制建模是水产养殖的中心。与最传统的建模技术相比，分位数回归可以处理并非所有因素都被测量的情况，并提供了估计不同响应分布水平上的影响的可能性，因此可以更完整地了解环境因素与生物学之间的关系。响应。观察环境因素与双壳贝类Mytilus edulis生长之间的关系后，发现在瑞典西海岸的增长率水平和环境变量范围内，二者之间的关系都不同。发现水氧浓度水平最强的模式对所有氧水平和生长水平都对生长有负面影响。但是，这些模式与期间之间的增长差异相吻合，并且可以解释期间内几乎没有的剩余可变性，表明交互过程掩盖了各个变量的重要性。通过使用分位数回归和局部回归（LOESS），本研究能够提供有关影响食用蓝藻分枝杆菌生长的环境因素的有价值信息，并为开发基于生态系统的水产养殖活动管理工具，将其用于减灾工作并取得成功提供重要见解。沿海地区人类使用管理。 （C）2016 Elsevier Ltd.保留所有权利。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱：kefu@zhangqiaokeyan.com

京公网安备：11010802029741号 ICP备案号：京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有

  • 客服微信

  • 服务号