Establishing the linkages among watershed threats, in-stream alterations and biological responses remains a challenge: Fayetteville Shale as a case study

2018 ◽  
Vol 3 ◽  
pp. 27-32 ◽  
Author(s):  
Sally A. Entrekin ◽  
Bradley J. Austin ◽  
Michelle A. Evans-White ◽  
Brian E. Haggard
1999 ◽  
Vol 34 (3) ◽  
pp. 391-422
Author(s):  
M.R. Servos ◽  
J.L. Parrott ◽  
J.P. Sherry ◽  
S.B. Brown

Abstract Defining virtual elimination has created considerable debate. A traditional approach has been to use chemically defined detection limits or levels of quantification that are determined using the best currently available methodologies. Ever increasing improvements in analytical techniques could lead to corresponding pressure to reduce the targets for virtual elimination. The current Toxic Substances Management Policy in Canada recognizes this and clearly states that it is not the intent of virtual elimination to have a moving target or to chase down the last molecule of the chemical of concern. Although it may be possible to reduce a chemical to less than some extremely sensitive detection limit, the chemical may or may not exert biological effects at that level. The chemically defined detection limits may be much lower than background levels in the environment, making it an unrealistic target. Conversely biological responses may result from trace levels of a compound that are not detectable in effluents or selected compartments of the environment (i.e., water) using current chemical techniques. Alternatively, an effect-based approach can establish biologically meaningful endpoints to defining virtual elimination. Polychlorinated dibenzo-p-dioxins (PCDDs) and dibenzofurans (PCDFs) are used in this study as an example to evaluate the advantages and limitations of several possible approaches of using biological endpoints to determine the presence of these compounds in the environment and ultimately define virtual elimination. A review of the biological responses to PCDD/PCDFs is included to demonstrate the importance of selecting appropriate biological endpoints. Mixed function oxygenase (MFO) induction, although not recommended at this point, is used as an example of a possible sensitive endpoint that could potentially be used to detect exposure of biota to these chemicals. Three different approaches are explored: (1) measuring MFO induction in a sentinel species in the environment; (2) testing environmental extracts for MFO induction in cell lines; and (3) using biological endpoints (MFO induction) to define chemical targets for virtual elimination. While the use of biological end-points is the most desirable approach to defining virtual elimination, there are significant knowledge gaps which limit our selection and application of this approach.


2003 ◽  
Vol 48 (7) ◽  
pp. 65-72 ◽  
Author(s):  
J.F. Costelloe ◽  
J.T. Puckridge ◽  
J.R.W. Reid ◽  
J. Pritchard ◽  
P. Hudson ◽  
...  

The ARIDFLO project takes a multi-disciplinary approach to the collection and analysis of data required to formulate appropriate environmental flow requirements for rivers in the Lake Eyre Basin. The key drivers of the ecological processes underpinning the health of these rivers are identified by modelling whole-of-ecosystem biological responses to hydrological events over a range of spatial and temporal scales. First, the hydrology of these poorly gauged (often ungauged) rivers needs to be modelled and validated to mimic real flow and inundation patterns at the catchment, reach and waterbody scale. Modelled and actual discharge data are then used to provide a suite of hydrological predictor variables which, in conjunction with other environmental variables, are used to model observed biotic responses. The key hydrologic and environmental drivers identified by the statistical models need to be taken into account when determining environmental flow requirements for these river systems. Further work is required to assess the predictive power of the models in the highly variable, complex systems of the Lake Eyre Basin rivers.


Ecotoxicology ◽  
2011 ◽  
Vol 21 (2) ◽  
pp. 315-324 ◽  
Author(s):  
Angélique San Miguel ◽  
Mathieu Faure ◽  
Patrick Ravanel ◽  
Muriel Raveton

2005 ◽  
Vol 46 (1-4) ◽  
pp. 235-253 ◽  
Author(s):  
George E.A. Swann ◽  
Anson W. Mackay ◽  
Melanie J. Leng ◽  
Francois Demory

Plants ◽  
2021 ◽  
Vol 10 (12) ◽  
pp. 2708
Author(s):  
Gana Gecheva ◽  
Karin Pall ◽  
Milcho Todorov ◽  
Ivan Traykov ◽  
Nikolina Gribacheva ◽  
...  

Upland rivers across Europe still exhibit undisturbed conditions and represent a treasure that we cannot afford to lose. We hypothesize that the combination of pristine and modified conditions could demonstrate biological responses along the stressor gradients. Thus, the response of aquatic macrophyte communities to anthropogenic stressors along upland rivers in Bulgaria was studied. Six stressors were selected out of 36 parameters grouped into hydromorphological, chemical variables and combined drivers (catchment land use). The stressors strongly affected species richness on the basis of biological type (bryophytes vs. vascular plants) and ecomorphological type (hydrophytes vs. helophytes). Hydrological alteration expressed by the change of the river’s base flow and altered riparian habitats has led to a suppression of bryophytes and a dominance of riverbank plant communities. Seventy-five percent of mountain sites were lacking bryophytes, and the vegetation at semi-mountainous sites was dominated by vascular plants. It can be concluded that hydropeaking, organic and inorganic pollution, and discontinuous urban structures caused important modifications in the aquatic macrophyte assemblages. Macrophyte abundance and the biological and ecomorphological type of aquatic macrophytes reflect multi-stressor effects in upland rivers.


2021 ◽  
Vol 8 (3) ◽  
Author(s):  
Ziao Shen ◽  
Si Wang ◽  
Zhenyu Shen ◽  
Yufei Tang ◽  
Junbin Xu ◽  
...  

Abstract With the rapid development of biomedical sciences, contradictory results on the relationships between biological responses and material properties emerge continuously, adding to the challenge of interpreting the incomprehensible interfacial process. In the present paper, we use cell proliferation on titanium dioxide nanotubes (TNTs) as a case study and apply machine learning methodologies to decipher contradictory results in the literature. The gradient boosting decision tree model demonstrates that cell density has a higher impact on cell proliferation than other obtainable experimental features in most publications. Together with the variation of other essential features, the controversy of cell proliferation trends on various TNTs is understandable. By traversing all combinational experimental features and the corresponding forecast using an exhausted grid search strategy, we find that adjusting cell density and sterilization methods can simultaneously induce opposite cell proliferation trends on various TNTs diameter, which is further validated by experiments. This case study reveals that machine learning is a burgeoning tool in deciphering controversial results in biomedical researches, opening up an avenue to explore the structure–property relationships of biomaterials.


2017 ◽  
Vol 36 (10) ◽  
pp. 39-47 ◽  
Author(s):  
Xiujuan Shan ◽  
Xiansen Li ◽  
Tao Yang ◽  
S M Sharifuzzaman ◽  
Guozheng Zhang ◽  
...  

2017 ◽  
Vol 17 (2) ◽  
pp. 04016053 ◽  
Author(s):  
John M. Lynk ◽  
Ruthie Papandrea ◽  
Adam Collamore ◽  
Terry Quinn ◽  
Eduardo Cazeneuve ◽  
...  

1984 ◽  
Vol 41 (4) ◽  
pp. 720-732 ◽  
Author(s):  
R. E. Hecky ◽  
R. W. Newbury ◽  
R. A. Bodaly ◽  
K. Patalas ◽  
D. M. Rosenberg

The impoundment of Southern Indian Lake (SIL) and diversion from the lake of the Churchill River in northern Manitoba, Canada, were the subjects of two independent environmental impact statements. Subsequently, a case study measured change in the limnological and biological characteristics of the lake after development. Comparison of pre- and post-impoundment observations allows an assessment of the predictive capability that was applied to the lake by the preimpact statements. Predictions related to the physical environment, e.g. increased shoreline erosion, littoral sedimentation, higher turbidity, and decreased light penetration and visibility, were qualitatively correct; however, an unpredicted decrease in water temperature also occurred. Increased phosphorus availability and light limitation of primary production were also correctly forecasted in a qualitative manner. These aspects will be quantitatively predictable in future reservoirs because of studies at SIL and elsewhere. Biological responses above the primary trophic level were mostly not predicted or predicted incorrectly. Unpredicted changes that were especially significant to the fishery were rapid declines in the quantity and quality of whitefish (Coregonus clupeaformis) catch, increases in mercury concentrations in fish, and the need for extensive compensation programs to keep the fishery economically viable. Testable hypotheses to explain all unpredicted events have been formulated but require experimental verification. The paradigm of reservoir ecosystem development that is present in the literature requires reformulation if future environmental impact analyses of reservoirs are to be improved.


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