Jennifer Phelan
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Publication
Featured researches published by Jennifer Phelan.
Journal of The American Water Resources Association | 2017
Jennifer Phelan; Thomas F. Cuffney; Lauren A. Patterson; Michele Eddy; Robert Dykes; Sam Pearsall; Chris Goudreau; Jim Mead; Fred Tarver
A method was developed to characterize fish and invertebrate responses to flow alteration in the state of North Carolina. This method involved using 80th percentile linear quantile regressions to relate six flow metrics to the diversity of riffle-run fish and benthic Ephemeroptera, Plecoptera, and Trichoptera (EPT) richness. All twelve flow-biology relationships were found to be significant, with both benthos and fish showing negative responses to ecodeficits and reductions in flow. The responses of benthic richness to reduced flows were consistent and generally greater than that of fish diversity. However, the riffle-run fish guild showed the greatest reductions in diversity in response to summer ecodeficits. The directional consistency and differential seasonal sensitivities of fish and invertebrates to reductions in flow highlight the need to consider seasonality when managing flows. In addition, all relationships were linear, and therefore do not provide clear thresholds to support ecological flow determinations and flow prescriptions to prevent the degradation of fish and invertebrate communities in North Carolina rivers and streams. A method of setting ecological flows based on the magnitude of change in biological condition that is acceptable to society is explored.
Journal of The American Water Resources Association | 2017
Michele Eddy; Jennifer Phelan; Lauren A. Patterson; Jessie Allen; Sam Pearsall
Hydroecological classification systems are typically based on an assemblage of streamflow metrics and seek to divide streams into ecologically relevant classes. Assignment of streams to classes is suggested as an initial step in the process of establishing ecological flow standards. We used two distinct hydroecological river classification systems available within North Carolina to evaluate the ability of a hydrologic model to assign the same classes as those determined by observed streamflows and to assess the transferability of such systems to ungaged streams. Class assignments were examined by rate of overall matches, rate of class matches, spatial variability in matches, and time period used in class assignment. The findings of this study indicate assignments of stream class: (1) are inconsistent among different classification systems; (2) differ between observed and modeled data; and (3) are sensitive to the period of record within observed data. One clear source of inconsistency/sensitivity in class assignments lies with the use of threshold values for metrics that distinguish stream classes, such that even small changes in metric values can result in different class assignments. Because these two hydroecological classification systems are representative of other classification systems that rely on quantitative decision thresholds, it can be surmised that the use of such systems based on stream flow metrics is not a reliable approach for guiding ecological flow determinations.
PLOS ONE | 2018
Kevin J. Horn; R. Quinn Thomas; Christopher M. Clark; Linda H. Pardo; Mark E. Fenn; Gregory B. Lawrence; Steven S. Perakis; Erica A. H. Smithwick; Douglas C. Baldwin; Sabine Braun; Annika Nordin; Charles H. Perry; Jennifer Phelan; Paul G. Schaberg; Samuel B. St. Clair; Richard Warby; Shaun A. Watmough
Atmospheric deposition of nitrogen (N) influences forest demographics and carbon (C) uptake through multiple mechanisms that vary among tree species. Prior studies have estimated the effects of atmospheric N deposition on temperate forests by leveraging forest inventory measurements across regional gradients in deposition. However, in the United States (U.S.), these previous studies were limited in the number of species and the spatial scale of analysis, and did not include sulfur (S) deposition as a potential covariate. Here, we present a comprehensive analysis of how tree growth and survival for 71 species vary with N and S deposition across the conterminous U.S. Our analysis of 1,423,455 trees from forest plots inventoried between 2000 and 2016 reveals that the growth and/or survival of the vast majority of species in the analysis (n = 66, or 93%) were significantly affected by atmospheric deposition. Species co-occurred across the conterminous U.S. that had decreasing and increasing relationships between growth (or survival) and N deposition, with just over half of species responding negatively in either growth or survival to increased N deposition somewhere in their range (42 out of 71). Averaged across species and conterminous U.S., however, we found that an increase in deposition above current rates of N deposition would coincide with a small net increase in tree growth (1.7% per Δ kg N ha-1 yr-1), and a small net decrease in tree survival (-0.22% per Δ kg N ha-1 yr-1), with substantial regional and among-species variation. Adding S as a predictor improved the overall model performance for 70% of the species in the analysis. Our findings have potential to help inform ecosystem management and air pollution policy across the conterminous U.S., and suggest that N and S deposition have likely altered forest demographics in the U.S.
Ecosphere | 2017
Michael D. Bell; Jennifer Phelan; Tamara Blett; Dixon H. Landers; Amanda M. Nahlik; George Van Houtven; Christine Davis; Christopher M. Clark; Julie Hewitt
Ecosphere | 2017
Irina C. Irvine; Tara L. Greaver; Jennifer Phelan; Robert D. Sabo; George Van Houtven
Ocean & Coastal Management | 2013
Mark M. Brinson; Richard D. Rheinhardt; Ron Ferrell; Bonnie Duncan; Larry Hobbs; David McNaught; Jennifer Phelan; Doug Rader
Journal of The American Water Resources Association | 2017
Lauren A. Patterson; Jennifer Phelan; Chris Goudreau; Robert Dykes
Ecological Applications | 2018
Christopher M. Clark; Jennifer Phelan; Prakash Doraiswamy; John Buckley; James Cajka; Robin L. Dennis; Jason A. Lynch; Christopher G. Nolte; Tanya L. Spero
Journal of The American Water Resources Association | 2017
Sam Pearsall; Michele Eddy; Jennifer Phelan
Archive | 2016
Tamara Blett; Michael D. Bell; Christopher J. Clark; Drew Bingham; Jennifer Phelan; Amanda M. Nahlik; Dixon H. Landers; Christine Davis; Irina C. Irvine; Andi Heard