Back to Search
Start Over
Relating benthic infaunal community structure to environmental variables in estuaries using nonmetric multidimensional scaling and similarity analysis
- Source :
- Environmental Monitoring & Assessment; Jun1998, Vol. 51 Issue 1/2, p233, 0p
- Publication Year :
- 1998
-
Abstract
- In 1994, 19 stations were sampled (2 replicates/station) with Young grabs in association with the EMAP- Estuaries Carolinian Province Base Monitoring in Florida. A total of 295 unique benthic infauna taxa and 9647 individuals were identified and enumerated. Environmental data (bottom-water quality, sediment grain size, sediment metals, and organics) and benthic community data were analyzed using hierarchical agglomerative cluster analysis and ordination via nonmetric multidimensional scaling. Bray-Curtis similarities and Euclidean distance were used as the distance measures for biotic and abiotic data, respectively. Multivariate analyses were complemented by examining incremental contributions of benthic taxa to similarity values using a percentagesimilarity technique. A low-salinity site in a tributary to the St. Johns River had benthic communities uniquely different from those of moderate- to high-salinity sites. A diverse assemblage of polychaetes, gastropods, bivalves, amphipods, sipunculans, and phoronids was consistently associated with relatively unimpacted sites in the Indian River Lagoon. Infaunal community structure in the northern portion of the study area was influenced by the nearby Atlantic Ocean. Communityshifts in association with latitudinal gradients and concentrations of sediment metals and organics were apparent. The nonparametric multivariate techniques used in this study were particularly effective atdelineating and defining fine-scale community differences. [ABSTRACT FROM AUTHOR]
- Subjects :
- BIOLOGICAL monitoring
ESTUARIES
SPECIES
STATISTICS
Subjects
Details
- Language :
- English
- ISSN :
- 01676369
- Volume :
- 51
- Issue :
- 1/2
- Database :
- Complementary Index
- Journal :
- Environmental Monitoring & Assessment
- Publication Type :
- Academic Journal
- Accession number :
- 8466855
- Full Text :
- https://doi.org/10.1023/a:1005943504335