A Database and Meta-Analysis of Ecological Responses to Stream Flow in the South Atlantic Region

McManamay, Ryan A.; Orth, Donald J.; Kauffman, J. Boone; Davis, Mary M.

doi:10.1656/058.012.m501

Cited by 8 publications

(9 citation statements)

References 103 publications

(84 reference statements)

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“…No statistically significant ecological response to extreme event severity class (low, medium, or high) was identified, but this might be caused by the very small sample size available for the analysis, except the effects of floods on invertebrates. Lack of robust quantitative relationships between flow and ecosystems had been reported in the past (Poff & Zimmerman, 2010;Jones & Petreman, 2013;McManamay et al, 2013;Nislow et al, 2002). Poff & Zimmerman (2010) found that the size of flow alteration was not correlated with subsequent ecological responses, which varied among the different taxonomic groups, and Jones and Petreman (2013) and salmonid densities after the flood.…”

Section: Discussionmentioning

confidence: 95%

“…Positive values of RR indicate that values of a given metric increased between t 0 and t 1 , and negative values indicate that they decreased. The use of response ratios facilitates comparisons and output data presentation and has been also used in other systematic reviews in ecology (Newman et al, 2015;McManamay et al, 2013).…”

Section: Response Ratios For Ecological Metricsmentioning

confidence: 99%

“…Even though there have been some previous explorative studies to develop flow-ecosystem relationships, their primary focus was either on the effects of flow alterations (Lloyd et al, 2003;Poff & Zimmerman, 2010;Webb et al 2013) or of a whole array of natural and anthropogenic changes in different flow regime components, notably including droughts, floods, and high flows (McManamay, Orth, Kauffman, & Davis, 2013). Only Jones and Petreman (2013) focused clearly on the effects of extreme flows on fish populations, but in contrast to other studies (including ours), their methodology did not contain systematic evidence collection and had much more narrow geographical scope (Lake Ontario region).…”

Section: Introductionmentioning

confidence: 99%

“…Only Jones and Petreman (2013) focused clearly on the effects of extreme flows on fish populations, but in contrast to other studies (including ours), their methodology did not contain systematic evidence collection and had much more narrow geographical scope (Lake Ontario region). McManamay et al (2013) reported predominantly negative responses of fish and invertebrates due to droughts and more variable, although predominantly positive, responses due to floods in the South Atlantic Region of the United States. Because their study was aimed to help local managers in developing environmental flow standards in the South Atlantic Region, it focused to a large extent on region-specific anthropogenic flow alterations, which makes a clear difference from our study aiming to better understand the ecological responses to floods and droughts in Europe.…”

Section: Introductionmentioning

confidence: 99%

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Responses of fish and invertebrates to floods and droughts in Europe

et al. 2016

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Floods and droughts, two opposite natural components of streamflow regimes, are known to regulate population size and species diversity. Quantifiable measures of these disturbances and their subsequent ecological responses are needed to synthesize the knowledge on flow-ecosystem relationships. This study for the first time combines the systematic review approach used to collect evidence on the ecological responses to floods and droughts in Europe with the statistical methods used to quantify the extreme events severity. Out of 854 publications identified in literature search, 54 papers were retained after screening and eligibility checks, providing in total 82 case studies with unique extreme event-ecological response associations for which data were extracted. In this way, a database with metadata of case studies that can be explored with respect to various factors was constructed. This study pinpointed the research gaps where little evidence could be synthesized, for example, drought event studies and fish studies. It was demonstrated that in many cases the studied metrics (abundance, density, richness, and diversity) showed statistically significant decreases after or during the event occurrence. The responses in invertebrate density and richness were in general more negative than the corresponding responses in fish.Biota resistance to floods was found to be lower than the resistance to droughts. The severity of extreme events was not found to be an important factor influencing ecological metrics, although this analysis was often hampered by insufficient number of case studies. Conceivably, other factors could mask any existing relationships between disturbance severity and biotic response.

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Section: Discussionmentioning

confidence: 95%

Section: Response Ratios For Ecological Metricsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Responses of fish and invertebrates to floods and droughts in Europe

et al. 2016

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“…The four-and five-parameter results are adjacent, left and right respectively, for the Tarland Burn and River Trent. (Melsen et al, 2018;Mackay et al, 2019;Worthington et al, 2019) where timing and duration indicators are among the indicators with the highest prediction accuracy. Difficulties were observed in replicating frequency and rate of change indices.…”

Section: Performance and Consistencymentioning

confidence: 99%

Replication of ecologically relevant hydrological indicators following a modified covariance approach to hydrological model parameterization

Visser-Quinn

Beevers

Patidar

2019

Hydrol. Earth Syst. Sci.

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Abstract. Hydrological models can be used to assess the impact of hydrologic alteration on the river ecosystem. However, there are considerable limitations and uncertainties associated with the replication of ecologically relevant hydrological indicators. Vogel and Sankarasubramanian's 2003 (Water Resources Research) covariance approach to model evaluation and parameterization represents a shift away from algorithmic model calibration with traditional performance measures (objective functions). Using the covariance structures of the observed input and simulated output time series, it is possible to assess whether the selected hydrological model is able to capture the relevant underlying processes. From this plausible parameter space, the region of parameter space which best captures (replicates) the characteristics of a hydrological indicator may be identified. In this study, a modified covariance approach is applied to five hydrologically diverse case study catchments with a view to replicating a suite of ecologically relevant hydrological indicators identified through catchment-specific hydroecological models. The identification of the plausible parameter space (here n≈20) is based on the statistical importance of these indicators. Evaluation is with respect to performance and consistency across each catchment, parameter set, and the 40 ecologically relevant hydrological indicators considered. Timing and rate of change indicators are the best and worst replicated respectively. Relative to previous studies, an overall improvement in consistency is observed. This study represents an important advancement towards the robust application of hydrological models for ecological flow studies.

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