...
首页> 外文期刊>ICES Journal of Marine Science >Application of a generalized additive model (GAM) to reveal relationships between environmental factors and distributions of pelagic fish and krill: a case study in Sendai Bay, Japan
【24h】

Application of a generalized additive model (GAM) to reveal relationships between environmental factors and distributions of pelagic fish and krill: a case study in Sendai Bay, Japan

机译:应用广义加性模型(GAM)揭示环境因素与中上层​​鱼类和磷虾分布之间的关系:以日本仙台湾为例

获取原文
获取原文并翻译 | 示例
           

摘要

A generalized additive model (GAM) was applied to fishery-survey data to reveal the influences of environmental factors on the distribution patterns of Japanese anchovy (Engraulis japonicus), sand lance (Ammodytes personatus), and krill (Euphausia pacifica). Echosounder and physical-oceanographic data were collected in Sendai Bay, Japan, in spring 2005. A hierarchical model was used with two spatial strata: (ⅰ) presence and absence of each species; and (ⅱ) biomass density of each species, given its presence; and six environmental covariates (surface water temperature, salinity, and chlorophyll, and near-seabed water temperature, salinity, and depth). The results indicate non-linear responses of the two indices to the environmental covariates. In addition, the biomasses estimated by the GAMs were comparable with estimates based on conventional, stratified-random sampling for each species. GAMs are very useful for (ⅰ) investigating the effects of environmental factors on the distributions of biological organisms, and (ⅱ) predicting the distributions of animal densities in unsurveyed areas.
机译:将广义加性模型(GAM)应用于渔业调查数据,以揭示环境因素对日本an鱼(Engraulis japonicus),沙矛(Ammodytes personatus)和磷虾(Euphausia pacifica)分布模式的影响。 2005年春季,在日本仙台湾收集了回声和物理海洋学数据。使用了具有两个空间层次的层次模型:(ⅰ)每个物种的存在与否; (ⅱ)每个物种的生物量密度(如果存在);和六个环境协变量(地表水温度,盐度和叶绿素,以及近海底水温,盐度和深度)。结果表明两个指标对环境协变量的非线性响应。此外,由GAM估算的生物量可与基于常规,分层随机抽样的每个物种的估算值进行比较。 GAM对于(ⅰ)调查环境因素对生物有机体分布的影响,以及(ⅱ)预测未调查地区动物密度的分布非常有用。

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