title: Assessing the severity of disturbance for intertidal and subtidal macrobenthos: the phylum-level meta-analysis approach in tropical estuarine sites of northeastern Brazil.
abstract: The phylum-level meta-analysis approach was applied to assess the status of disturbance of intertidal and subtidal macrobenthos in two estuaries in northeastern Brazil that are subject to different sources of pollution. Previously published estuarine data were included in the body of knowledge considered in the meta-analysis, to improve the reliability of the assessment of the Brazilian samples. Further multivariate and distributional techniques were applied to discriminate differences between estuaries and assess the pollution status of each. Phylum-level multivariate comparisons based on community attributes succeeded in discriminating the estuaries, and species distributions against abundance separated the estuaries in terms of pollution status. The meta-analysis indicated an almost indistinguishable moderate pollution status for both systems. Addition of new comparative data to the meta-analysis did not improve its sensitivity. Although the meta-analysis yielded satisfactory results in detecting disturbance in tropical estuaries, the method is not very sensitive to differences in sources of pollution.
authors.affiliation: Companhia Pernambucana de Saneamento (COMPESA), Gerência de Controle de Qualidade, Largo Dois Irmãos 1012, 52071-440 Recife-PE, Brazil. pvvcarvalho@yahoo.com.br <pvvcarvalho@yahoo.com.br>
authors.forename: Paulo V V C
authors.initials: PV
authors.lastname: Carvalho
authors.forename: Paulo J P
authors.initials: PJ
authors.lastname: Santos
authors.forename: Mônica L
authors.initials: ML
authors.lastname: Botter-Carvalho
mesh_terms: D000818:Animals; D044822:Biodiversity; D018533:Biomass; D001938:Brazil; D004784:Environmental Monitoring / Q000379:methods / Q000706:statistics & numerical data*; D007448:Invertebrates; D015999:Multivariate Analysis; D045483:Rivers; D012623:Seawater; D013045:Species Specificity; D014329:Tropical Climate; D014876:Water Pollution / Q000032:analysis*