Daren M Carlisle, Ph.D.
Dr. Daren Carlisle manages the Ecological Flows Program for the Water Resources Mission Area.
Science and Products
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Alteration of streamflow magnitudes and potential ecological consequences: A multiregional assessment
Human impacts on watershed hydrology are widespread in the US, but the prevalence and severity of stream‐flow alteration and its potential ecological consequences have not been quantified on a national scale. We assessed streamflow alteration at 2888 streamflow monitoring sites throughout the conterminous US. The magnitudes of mean annual (1980–2007) minimum and maximum streamflows were found to h
Authors
Daren Carlisle, David M. Wolock, Michael R. Meador
GAGES: A stream gage database for evaluating natural and alteredflow conditions in the conterminous United States
Stream flow is a controlling element in the ecology of rivers and streams. Knowledge of the natural flow regime facilitates the assessment of whether specific hydrologic attributes have been altered by humans in a particular stream and the establishment of specific goals for stream-flow restoration. Because most streams are ungaged or have been altered by human influences, characterizing the natur
Authors
James A. Falcone, Daren Carlisle, David M. Wolock, Michael R. Meador
Quantifying human disturbance in watersheds: Variable selection and performance of a GIS-based disturbance index for predicting the biological condition of perennial streams
Characterizing the relative severity of human disturbance in watersheds is often part of stream assessments and is frequently done with the aid of Geographic Information System (GIS)-derived data. However, the choice of variables and how they are used to quantify disturbance are often subjective. In this study, we developed a number of disturbance indices by testing sets of variables, scoring meth
Authors
James A. Falcone, Daren Carlisle, Lisa C. Weber
Using propensity scores to estimate the effects of insecticides on stream invertebrates from observational data
Analyses of observational data can provide insights into relationships between environmental conditions and biological responses across a broader range of natural conditions than experimental studies, potentially complementing insights gained from experiments. However, observational data must be analyzed carefully to minimize the likelihood that confounding variables bias observed relationships. P
Authors
Lester L. Yuan, Amina I. Pollard, Daren Carlisle
Predictive models for fish assemblages in eastern USA streams: implications for assessing biodiversity
Management and conservation of aquatic systems require the ability to assess biological conditions and identify changes in biodiversity. Predictive models for fish assemblages were constructed to assess biological condition and changes in biodiversity for streams sampled in the eastern United States as part of the U.S. Geological Survey's National Water Quality Assessment Program. Separate predict
Authors
Michael R. Meador, Daren Carlisle
A database of lotic invertebrate traits for North America
The assessment and study of stream communities may be enhanced if functional characteristics such as life-history, habitat preference, and reproductive strategy were more widely available for specific taxa. Species traits can be used to develop these functional indicators because many traits directly link functional roles of organisms with controlling environmental factors (for example, flow, subs
Authors
Nicole M. K. Vieira, N. LeRoy Poff, Daren Carlisle, Stephen R. Moulton, Marci L. Koski, Boris C. Kondratieff
Macroinvertebrate assemblages associated with patterns in land use and water quality
Most national parks were designated to preserve significant natural resources. Park borders often reflect political rather than ecological boundaries. Consequently, catchments of many streams are only partially within park boundaries, and are therefore subject to land use changes and potential contamination from non-point sources outside the park. The National Park Service has initiated a program
Authors
Daren Carlisle, Paul M. Stewart, Jason T. Butcher
Science and Products
Filter Total Items: 16
No Result Found
Filter Total Items: 55
Alteration of streamflow magnitudes and potential ecological consequences: A multiregional assessment
Human impacts on watershed hydrology are widespread in the US, but the prevalence and severity of stream‐flow alteration and its potential ecological consequences have not been quantified on a national scale. We assessed streamflow alteration at 2888 streamflow monitoring sites throughout the conterminous US. The magnitudes of mean annual (1980–2007) minimum and maximum streamflows were found to h
Authors
Daren Carlisle, David M. Wolock, Michael R. Meador
GAGES: A stream gage database for evaluating natural and alteredflow conditions in the conterminous United States
Stream flow is a controlling element in the ecology of rivers and streams. Knowledge of the natural flow regime facilitates the assessment of whether specific hydrologic attributes have been altered by humans in a particular stream and the establishment of specific goals for stream-flow restoration. Because most streams are ungaged or have been altered by human influences, characterizing the natur
Authors
James A. Falcone, Daren Carlisle, David M. Wolock, Michael R. Meador
Quantifying human disturbance in watersheds: Variable selection and performance of a GIS-based disturbance index for predicting the biological condition of perennial streams
Characterizing the relative severity of human disturbance in watersheds is often part of stream assessments and is frequently done with the aid of Geographic Information System (GIS)-derived data. However, the choice of variables and how they are used to quantify disturbance are often subjective. In this study, we developed a number of disturbance indices by testing sets of variables, scoring meth
Authors
James A. Falcone, Daren Carlisle, Lisa C. Weber
Using propensity scores to estimate the effects of insecticides on stream invertebrates from observational data
Analyses of observational data can provide insights into relationships between environmental conditions and biological responses across a broader range of natural conditions than experimental studies, potentially complementing insights gained from experiments. However, observational data must be analyzed carefully to minimize the likelihood that confounding variables bias observed relationships. P
Authors
Lester L. Yuan, Amina I. Pollard, Daren Carlisle
Predictive models for fish assemblages in eastern USA streams: implications for assessing biodiversity
Management and conservation of aquatic systems require the ability to assess biological conditions and identify changes in biodiversity. Predictive models for fish assemblages were constructed to assess biological condition and changes in biodiversity for streams sampled in the eastern United States as part of the U.S. Geological Survey's National Water Quality Assessment Program. Separate predict
Authors
Michael R. Meador, Daren Carlisle
A database of lotic invertebrate traits for North America
The assessment and study of stream communities may be enhanced if functional characteristics such as life-history, habitat preference, and reproductive strategy were more widely available for specific taxa. Species traits can be used to develop these functional indicators because many traits directly link functional roles of organisms with controlling environmental factors (for example, flow, subs
Authors
Nicole M. K. Vieira, N. LeRoy Poff, Daren Carlisle, Stephen R. Moulton, Marci L. Koski, Boris C. Kondratieff
Macroinvertebrate assemblages associated with patterns in land use and water quality
Most national parks were designated to preserve significant natural resources. Park borders often reflect political rather than ecological boundaries. Consequently, catchments of many streams are only partially within park boundaries, and are therefore subject to land use changes and potential contamination from non-point sources outside the park. The National Park Service has initiated a program
Authors
Daren Carlisle, Paul M. Stewart, Jason T. Butcher