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Featured researches published by Robin A. Brightbill.


Ecological Applications | 2009

Responses of benthic macroinvertebrates to environmental changes associated with urbanization in nine metropolitan areas

Thomas F. Cuffney; Robin A. Brightbill; Jason T. May; Ian R. Waite

Responses of benthic macroinvertebrates along gradients of urban intensity were investigated in nine metropolitan areas across the United States. Invertebrate assemblages in metropolitan areas where forests or shrublands were being converted to urban land were strongly related to urban intensity. In metropolitan areas where agriculture and grazing lands were being converted to urban land, invertebrate assemblages showed much weaker or nonsignificant relations with urban intensity because sites with low urban intensity were already degraded by agriculture. Ordination scores, the number of EPT taxa, and the mean pollution-tolerance value of organisms at a site were the best indicators of changes in assemblage condition. Diversity indices, functional groups, behavior, and dominance metrics were not good indicators of urbanization. Richness metrics were better indicators of urban effects than were abundance metrics, and qualitative samples collected from multiple habitats gave similar results to those of single habitat quantitative samples (riffles or woody snags) in all metropolitan areas. Changes in urban intensity were strongly correlated with a set of landscape variables that was consistent across all metropolitan areas. In contrast, the instream environmental variables that were strongly correlated with urbanization and invertebrate responses varied among metropolitan areas. The natural environmental setting determined the biological, chemical, and physical instream conditions upon which urbanization acts and dictated the differences in responses to urbanization among metropolitan areas. Threshold analysis showed little evidence for an initial period of resistance to urbanization. Instead, assemblages were degraded at very low levels of urbanization, and response rates were either similar across the gradient or higher at low levels of urbanization. Levels of impervious cover that have been suggested as protective of streams (5-10%) were associated with significant assemblage degradation and were not protective.


Landscape Ecology | 2010

Landscape characteristics affecting streams in urbanizing regions of the Delaware River Basin (New Jersey, New York, and Pennsylvania, U.S.)

Karen Riva-Murray; Rachel Riemann; Peter S. Murdoch; Jeffrey M. Fischer; Robin A. Brightbill

Widespread and increasing urbanization has resulted in the need to assess, monitor, and understand its effects on stream water quality. Identifying relations between stream ecological condition and urban intensity indicators such as impervious surface provides important, but insufficient information to effectively address planning and management needs in such areas. In this study we investigate those specific landscape metrics which are functionally linked to indicators of stream ecological condition, and in particular, identify those characteristics that exacerbate or mitigate changes in ecological condition over and above impervious surface. The approach used addresses challenges associated with redundancy of landscape metrics, and links landscape pattern and composition to an indicator of stream ecological condition across a broad area of the eastern United States. Macroinvertebrate samples were collected during 2000–2001 from forty-two sites in the Delaware River Basin, and landscape data of high spatial and thematic resolution were obtained from photointerpretation of 1999 imagery. An ordination-derived ‘biotic score’ was positively correlated with assemblage tolerance, and with urban-related chemical characteristics such as chloride concentration and an index of potential pesticide toxicity. Impervious surface explained 56% of the variation in biotic score, but the variation explained increased to as high as 83% with the incorporation of a second land use, cover, or configuration metric at catchment or riparian scales. These include land use class-specific cover metrics such as percent of urban land with tree cover, forest fragmentation metrics such as aggregation index, riparian metrics such as percent tree cover, and metrics related to urban aggregation. Study results indicate that these metrics will be important to monitor in urbanizing areas in addition to impervious surface.


Open-File Report | 2001

Fish-community composition in Canacadea Creek, in the vicinity of Almond Lake, Allegany and Steuben counties, New York, 2000

Robin A. Brightbill; Michael D. Bilger

The U.S. Army Corps of Engineers, Baltimore District, has been conducting biological surveys of the inflow and outflow streams of Almond Lake since the early 1980’s. These surveys are made to identify possible detrimental effects as well as benefits of the reservoir and to better understand the aquatic communities in the vicinity of the lake at the present and over time. The U.S. Army Corps of Engineers and the U.S. Geological Survey jointly conducted a survey of the fish communities upstream and downstream of the lake in Canacadea Creek in September 2000. The fish communities upstream and downstream were compared and any differences or similarities seen in the communities were noted. This study found the fish communities to be in fair condition upstream and good condition downstream of Almond Lake, with Index of Biotic Integrity (IBI) scores of 3.5 and 5.0, respectively. The habitat conditions of both reaches were of suboptimal quality, with a score of 14 upstream and 15 downstream as determined by use of the U.S. Environmental Protection Agency’s (USEPA) Rapid Bioassessment Protocols, and are capable of supporting fish communities. The Shannon Index indicates species richness and evenness and was 1.87 upstream and 3.22 downstream of the lake, indicating the upstream reach is severely impacted and the downstream reach appears to be not impacted. The Jaccards Coefficient and the Index of Similarity statistically show these communities are similar with scores of 0.55 and 0.71, respectively. Of the 12 species captured upstream, 11 of those also were captured downstream along with 8 other species for a total of 19 species downstream.


Mine Water and The Environment | 2010

Abandoned Mine Drainage in the Swatara Creek Basin, Southern Anthracite Coalfield, Pennsylvania, USA: 1. Stream Water Quality Trends Coinciding with the Return of Fish

Charles A. Cravotta; Robin A. Brightbill; Michael J. Langland


Circular | 1998

Water quality in the lower Susquehanna River basin, Pennsylvania and Maryland, 1992-95

Bruce D. Lindsey; Kevin J. Breen; Michael D. Bilger; Robin A. Brightbill


Ecological Applications | 2011

Response to King and Baker: limitations on threshold detection and characterization of community thresholds

Thomas F. Cuffney; Song S. Qian; Robin A. Brightbill; Jason T. May; Ian R. Waite


Water-Resources Investigations Report | 1999

Occurrence of Organochlorine Compounds in Whole Fish Tissue from Streams of the Lower Susquehanna River Basin, Pennsylvania and Maryland, 1992

Michael D. Bilger; Robin A. Brightbill; Harry L. Campbell


Circular | 2004

Water Quality in the Delaware River Basin, Pennsylvania, New Jersey, New York, and Delaware, 1998-2001

Jeffrey M. Fischer; Karen Riva-Murray; R. Edward Hickman; Douglas C. Chichester; Robin A. Brightbill; Kristin M. Romanok; Michael D. Bilger


Data Series | 2008

Methods for Processing and Summarizing Time-Series Temperature Data Collected as Part of the National Water-Quality Assessment Program Studies on the Effects of Urbanization on Stream Ecosystems

Thomas F. Cuffney; Robin A. Brightbill


Scientific Investigations Report | 2006

Effects of streambank fencing of pasture land on benthic macroinvertebrates and the quality of surface water and shallow ground water in the Big Spring Run basin of Mill Creek watershed, Lancaster County, Pennsylvania, 1993-2001

Daniel G. Galeone; Robin A. Brightbill; Dennis J. Low; David L. O'Brien

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Michael D. Bilger

United States Geological Survey

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Karen Riva-Murray

United States Geological Survey

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Thomas F. Cuffney

United States Geological Survey

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Dennis J. Low

United States Geological Survey

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Jeffrey M. Fischer

United States Geological Survey

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Ian R. Waite

United States Geological Survey

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Jason T. May

United States Geological Survey

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Michael J. Langland

United States Geological Survey

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Charles A. Cravotta

United States Geological Survey

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Edward H. Koerkle

United States Geological Survey

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