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McRae, Gil; Camp, David K.; Lyons, W. G.; Dix, T.L.

doi:10.1023/a:1005943504335

Cited by 23 publications

(1 citation statement)

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“…To ensure an optimal NMS solution, PC-Ord's (McCune and Mefford 1999) "autopilot/slow and thorough" mode was used in which 40 iterations were performed on the Bray-Curtis matrix; 50 additional runs were performed with randomized data so that the final solution could be compared to solutions that might be obtained by chance alone. These methods are well represented in ecological literature comparing aquatic assemblages to one another and to environmental gradients (McRae et al 1998;Ford and Rose 2000;Hawkins and Vinson 2000;McCormick et al 2000;Heino et al 2003;Mykra et al 2004;Ilmonen and Paasivirta 2005). Clarke (1993) discussed in detail several advantages of the NMS methodology employed here.…”

Section: Statistical Analysesmentioning

confidence: 99%

Linking stream and landscape trajectories in the southern Appalachians

Gardiner

Sutherland

Bixby

et al. 2008

Environ Monit Assess

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A proactive sampling strategy was designed and implemented in 2000 to document changes in streams whose catchment land uses were predicted to change over the next two decades due to increased building density. Diatoms, macroinvertebrates, fishes, suspended sediment, dissolved solids, and bed composition were measured at two reference sites and six sites where a socioeconomic model suggested new building construction would influence stream ecosystems in the future; we label these "hazard sites." The six hazard sites were located in catchments with forested and agricultural land use histories. Diatoms were species-poor at reference sites, where riparian forest cover was significantly higher than all other sites. Cluster analysis, Wishart's distance function, non-metric multidimensional scaling, indicator species analysis, and t-tests show that macroinvertebrate assemblages, fish assemblages, in situ physical measures, and catchment land use and land cover were different between streams whose catchments were mostly forested, relative to those with agricultural land use histories and varying levels of current and predicted development. Comparing initial results with other regional studies, we predict homogenization of fauna with increased nutrient inputs and sediment associated with agricultural sites where more intense building activities are occurring. Based on statistical separability of sampled sites, catchment classes were identified and mapped throughout an 8,600 km(2) region in western North Carolina's Blue Ridge physiographic province. The classification is a generalized representation of two ongoing trajectories of land use change that we suggest will support streams with diverging biota and physical conditions over the next two decades.

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Section: Statistical Analysesmentioning

confidence: 99%

Linking stream and landscape trajectories in the southern Appalachians

Gardiner

Sutherland

Bixby

et al. 2008

Environ Monit Assess

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Foraminifera as Bioindicators in Coral Reef Assessment and Monitoring: The Foram Index

Hallock¹,

Lidz²,

Cockey-Burkhard³

et al. 2003

Coastal Monitoring Through Partnerships

200

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Linking chemical contamination to biological effects in coastal pollution monitoring

et al. 2011

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To establish the connection between pollutant levels and their harmful effects on living resources, coastal monitoring programmes have incorporated biological tools, such as the scope for growth (SFG) in marine mussels and benthic macrofauna community indices. Although the relation between oxygen-depleting anthropogenic inputs and the alteration of benthic communities is well described, the effects of chemical pollutants are unknown because they are not expected to favour any particular taxa. In this study, the combined efforts of five research teams involved in the investigative monitoring of marine pollution allowed the generation of a multiyear data set for Ría de Vigo (NW Iberian Peninsula). Multivariate analysis of these data allowed the identification of the chemical-matrix combinations responsible for most of the variability among sites and the construction of a chemical pollution index (CPI) that significantly (P < 0.01) correlated with biological effects at both the individual and the community levels. We report a consistent reduction in the physiological fitness of local populations of mussels as chemical pollution increases. The energy balance was more sensitive to pollution than individual physiological rates, but the reduction in the SFG was primarily due to significantly decreased clearance rates. We also found a decrease in benthic macrofauna diversity as chemical pollution increases. This diversity reduction resulted not from altered evenness, as the classic paradigm might suggest, but from a loss of species richness.

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Cited by 23 publications

References 0 publications

Linking stream and landscape trajectories in the southern Appalachians

Linking stream and landscape trajectories in the southern Appalachians

Foraminifera as Bioindicators in Coral Reef Assessment and Monitoring: The Foram Index

Linking chemical contamination to biological effects in coastal pollution monitoring

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