Autor:	Tamre Cardoso, Hiu Wan Ko, Elizabeth A. Freeman, Mariabeth Silkey, Dean Billheimer, Peter Guttorp
Rok vydání:	1997
Předmět:	Statistics and Probability geography geography.geographical_feature_category Salinity Oceanography Benthic zone Environmental science Natural variability Statistics Probability and Uncertainty Spatial dependence Bay Organism Sound (geography) General Environmental Science Invertebrate
Zdroj:	Environmental and Ecological Statistics. 4:95-115
ISSN:	1352-8505
Popis:	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.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::3a8f21f0d451f61184ba3dfc91823aa5 https://doi.org/10.1023/a:1018514226420 Zobrazit plný text záznamu Full text from SpringerLink