Natural variability of benthic species composition in the Delaware Bay
Natural variability of benthic species composition in the Delaware Bay
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DOI：
10.1023/a:1018514226420
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发表时间：
1997-06-01
影响因子：
3.8
通讯作者：
Silkey, M
中科院分区：
文献类型：
--
作者：
Billheimer, D;Cardoso, T;Silkey, M
水生生物群的生物监测用于评估环境变化的影响。制定健全的生物监测方案的关键是明智地选择要监测的生物体和生物体特征。对变化的准确解释需要描述系统的自然变异性。我们引入了一种用于成分监测数据的状态空间模型，并说明了如何结合空间结构和协变量来评估自然变异性。这些方法以特拉华湾的海底调查数据为基础进行说明，并应用于属水平的比例组成。特拉华湾底栖大型无脊椎动物的分布很大程度上取决于盐度。考虑盐度效应后，数据中存在残余空间依赖性。
Biological monitoring of aquatic biota is used to assess the impact of changes in the environment. Critical to the development of a sound biological monitoring protocol is the judicious selection of organisms and organism characteristics to be monitored. Accurate interpretations of change necessitate description of the natural variability of the system. We introduce a state-space model for compositional monitoring data, and illustrate how one can incorporate spatial structure and covariates to assess natural variability. The methods are illustrated on benthic survey data from Delaware Bay, and applied to proportional composition at the genus level. The distribution of benthic macroinvertebrates in Delaware Bay depends significantly on salinity. There is residual spatial dependence in the data after accounting for the salinity effect.