Summary 1.Wind power is a fast-growing industry with broad potential to impact volant wildlife. Flight altitude is a key determinant of the risk to wildlife from modern horizontal-axis wind turbines, which typically have a rotor-swept zone of 50-150 m above the ground. 2. We used altitudinal GPS data collected from golden eagles Aquila chrysaetos tracked using satellite telemetry to evaluate the potential impacts of wind turbines on eagles and other raptors along migratory routes. Eagle movements during migration were classified as local (1-5 km h À1 ) or migratory (>10 km h À1 ) and were characterized based on the type of terrain over which each bird was flying, and the bird's distance from wind resources preferred for energy development.3. Birds engaged in local movements turned more frequently and flew at lower altitude than during active migration. This flight behaviour potentially exposes them to greater risk of collision with turbines than when engaged in longer-distance movements. 4. Eagles flew at relatively lower altitude over steep slopes and cliffs (sites where orographic lift can develop) than over flats and gentle slopes (sites where thermal lift is more likely). 5. Eagles predominantly flew near to wind resources preferred by energy developers, and locally moving eagles flew closer to those wind resources with greater frequency than eagles in active migration. 6. Synthesis and applications. Our research outlines the general effects of topography on raptor flight altitude and demonstrates how topography can interact with raptor migration behaviour to drive a potential human-wildlife conflict resulting from wind energy development. Management of risk to migratory species from industrial-scale wind turbines should consider the behavioural differences between both locally moving and actively migrating individuals. Additionally, risk assessment for wind energy-wildlife interactions should incorporate the consequences of topography on the flight altitude of potentially impacted wildlife.

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ACKNOWLEDGMENTSThis report was prepared under 3 work assignments of EPA contract #68-C7-0014 to Tetra Tech, Inc. Authors of this report are Jeroen Gerritsen, June Burton, and Michael T. Barbour. We thank Maggie Passmore and Jim Green of EPA Region 3 for helpful guidance, discussions and review. The biological index was made possible by the intensive data collection efforts and discussion of West Virginia DEP; in particular, Janice Smithson, Jeffrey Bailey, Pat Campbell, and John Wirts. This report was prepared with the assistance of Jeffrey White, Erik Leppo, and Brenda Fowler. A Stream Condition Index for West Virginia Wadeable StreamsTetra Tech, Inc. iv March 28, 2000 (Revised July 21, 2000 THIS PAGE LEFT INTENTIONALLY BLANK A Stream Condition Index for West Virginia Wadeable StreamsTetra Tech, Inc. v March 28, 2000 (Revised July 21, 2000 Tetra Tech, Inc. vi March 28, 2000 (Revised July 21, 2000 THIS PAGE INTENTIONALLY LEFT BLANK A Stream Condition Index for West Virginia Wadeable StreamsTetra Tech, Inc. vii March 28, 2000 (Revised July 21, 2000 LIST OF FIGURES Tech, Inc. viii March 28, 2000 (Revised July 21, 2000 LIST OF TABLES EXECUTIVE SUMMARYOver the past century, land use activities such as mining, agriculture, urbanization, and industrialization have seriously threatened the quality of surface waters by contributing to nonpoint-source pollution. In West Virginia, the investigation of these nonpoint sources of water pollution has become a priority. indicator of ecosystem health and can identify impairment with respect to the reference (or natural) condition. The index includes six biological attributes, called metrics, that represent elements of the structure and function of the bottom-dwelling macroinvertebrate assemblage. Metrics are specific measures of diversity, composition, and tolerance to pollution, that include ecological information.The SCI is to be used as the basis for bioassessment in West Virginia and has been calibrated for a long-term biological index period extending from April through October. A data analysis application has been developed to ensure consistency in data management and analysis throughout the state as DEP biologists conduct biological monitoring.Benefits expected from the implementation of the WV SCI will apply to a broad spectrum of management programs, including:characterizing the existence and severity of point and nonpoint source impairment;targeting and prioritizing watersheds and ecosystem management areas for remedial or preventive programs; evaluating the effectiveness of nonpoint source best management programs; screening ecosystems for use attainability; and developing a basis for establishing biocriteria that relate to regional water quality goals, an EPA priority.The West Virginia SCI was tested with independent data collected in 1998 and was able to correctly identify the majority of the stream sites stressed in some way by human disturbance or pollution. Index scores were divided into 5 proposed rating categories for reporting on the condition...

ACKNOWLEDGMENTSThis report was prepared under 3 work assignments of EPA contract #68-C7-0014 to Tetra Tech, Inc. Authors of this report are Jeroen Gerritsen, June Burton, and Michael T. Barbour. We thank Maggie Passmore and Jim Green of EPA Region 3 for helpful guidance, discussions and review. The biological index was made possible by the intensive data collection efforts and discussion of West Virginia DEP; in particular, Janice Smithson, Jeffrey Bailey, Pat Campbell, and John Wirts. This report was prepared with the assistance of Jeffrey White, Erik Leppo, and Brenda Fowler. A Stream Condition Index for West Virginia Wadeable StreamsTetra Tech, Inc. iv March 28, 2000 (Revised July 21, 2000 THIS PAGE LEFT INTENTIONALLY BLANK A Stream Condition Index for West Virginia Wadeable StreamsTetra Tech, Inc. v March 28, 2000 (Revised July 21, 2000 Tetra Tech, Inc. vi March 28, 2000 (Revised July 21, 2000 THIS PAGE INTENTIONALLY LEFT BLANK A Stream Condition Index for West Virginia Wadeable StreamsTetra Tech, Inc. vii March 28, 2000 (Revised July 21, 2000 LIST OF FIGURES Tech, Inc. viii March 28, 2000 (Revised July 21, 2000 LIST OF TABLES EXECUTIVE SUMMARYOver the past century, land use activities such as mining, agriculture, urbanization, and industrialization have seriously threatened the quality of surface waters by contributing to nonpoint-source pollution. In West Virginia, the investigation of these nonpoint sources of water pollution has become a priority. indicator of ecosystem health and can identify impairment with respect to the reference (or natural) condition. The index includes six biological attributes, called metrics, that represent elements of the structure and function of the bottom-dwelling macroinvertebrate assemblage. Metrics are specific measures of diversity, composition, and tolerance to pollution, that include ecological information.The SCI is to be used as the basis for bioassessment in West Virginia and has been calibrated for a long-term biological index period extending from April through October. A data analysis application has been developed to ensure consistency in data management and analysis throughout the state as DEP biologists conduct biological monitoring.Benefits expected from the implementation of the WV SCI will apply to a broad spectrum of management programs, including:characterizing the existence and severity of point and nonpoint source impairment;targeting and prioritizing watersheds and ecosystem management areas for remedial or preventive programs; evaluating the effectiveness of nonpoint source best management programs; screening ecosystems for use attainability; and developing a basis for establishing biocriteria that relate to regional water quality goals, an EPA priority.The West Virginia SCI was tested with independent data collected in 1998 and was able to correctly identify the majority of the stream sites stressed in some way by human disturbance or pollution. Index scores were divided into 5 proposed rating categories for reporting on the condition...

We analyzed seasonal water samples from the Cheat and Tygart Valley river basins, West Virginia, USA, in an attempt to classify streams based on water chemistry in this coal-mining region. We also examined temporal variability among water samples. Principal component analysis identified two important dimensions of variation in water chemistry. This variation was determined largely by mining-related factors (elevated metals, sulfates, and conductivity) and an alkalinity-hardness gradient. Cluster analysis grouped water samples into six types that we described as reference, soft, hard, transitional, moderate acid mine drainage, and severe acid mine drainage. These types were statistically distinguishable in multidimensional space. Classification tree analysis confirmed that chemical constituents related to acid mine drainage and acid rain distinguished these six groups. Hard, soft, and severe acid mine drainage type streams were temporally constant compared to streams identified as reference, transitional, and moderate acid mine drainage type, which had a greater tendency to shift to a different water type between seasons. Our research is the first to establish a statistically supported stream classification system in mined watersheds. The results suggest that human-related stressors superimposed on geology are responsible for producing distinct water quality types in this region as opposed to more continuous variation in chemistry that would be expected in an unimpacted setting. These findings provide a basis for simplifying stream monitoring efforts, developing generalized remediation strategies, and identifying specific remediation priorities in mined Appalachian watersheds.