Literature DB >> 24990807

Long-term impacts on macroinvertebrates downstream of reclaimed mountaintop mining valley fills in Central Appalachia.

Gregory J Pond1, Margaret E Passmore, Nancy D Pointon, John K Felbinger, Craig A Walker, Kelly J G Krock, Jennifer B Fulton, Whitney L Nash.   

Abstract

Recent studies have documented adverse effects to biological communities downstream of mountaintop coal mining and valley fills (VF), but few data exist on the longevity of these impacts. We sampled 15 headwater streams with VFs reclaimed 11-33 years prior to 2011 and sampled seven local reference sites that had no VFs. We collected chemical, habitat, and benthic macroinvertebrate data in April 2011; additional chemical samples were collected in September 2011. To assess ecological condition, we compared VF and reference abiotic and biotic data using: (1) ordination to detect multivariate differences, (2) benthic indices (a multimetric index and an observed/expected predictive model) calibrated to state reference conditions to detect impairment, and (3) correlation and regression analysis to detect relationships between biotic and abiotic data. Although VF sites had good instream habitat, nearly 90 % of these streams exhibited biological impairment. VF sites with higher index scores were co-located near unaffected tributaries; we suggest that these tributaries were sources of sensitive taxa as drifting colonists. There were clear losses of expected taxa across most VF sites and two functional feeding groups (% scrapers and %shredders) were significantly altered. Percent VF and forested area were related to biological quality but varied more than individual ions and specific conductance. Within the subset of VF sites, other descriptors (e.g., VF age, site distance from VF, the presence of impoundments, % forest) had no detectable relationships with biological condition. Although these VFs were constructed pursuant to permits and regulatory programs that have as their stated goals that (1) mined land be reclaimed and restored to its original use or a use of higher value, and (2) mining does not cause or contribute to violations of water quality standards, we found sustained ecological damage in headwaters streams draining VFs long after reclamation was completed.

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Year:  2014        PMID: 24990807     DOI: 10.1007/s00267-014-0319-6

Source DB:  PubMed          Journal:  Environ Manage        ISSN: 0364-152X            Impact factor:   3.266


  18 in total

1.  Cumulative impacts of mountaintop mining on an Appalachian watershed.

Authors:  T Ty Lindberg; Emily S Bernhardt; Raven Bier; A M Helton; R Brittany Merola; Avner Vengosh; Richard T Di Giulio
Journal:  Proc Natl Acad Sci U S A       Date:  2011-12-12       Impact factor: 11.205

Review 2.  The effects of mountaintop mines and valley fills on the physicochemical quality of stream ecosystems in the central Appalachians: a review.

Authors:  Michael B Griffith; Susan B Norton; Laurie C Alexander; Amina I Pollard; Stephen D LeDuc
Journal:  Sci Total Environ       Date:  2012-01-20       Impact factor: 7.963

3.  How many mountains can we mine? Assessing the regional degradation of Central Appalachian rivers by surface coal mining.

Authors:  Emily S Bernhardt; Brian D Lutz; Ryan S King; John P Fay; Catherine E Carter; Ashley M Helton; David Campagna; John Amos
Journal:  Environ Sci Technol       Date:  2012-07-25       Impact factor: 9.028

4.  Application of a benthic observed/expected-type model for assessing Central Appalachian streams influenced by regional stressors in West Virginia and Kentucky.

Authors:  Gregory J Pond; Sheila H North
Journal:  Environ Monit Assess       Date:  2013-06-04       Impact factor: 2.513

5.  Use of reconstituted waters to evaluate effects of elevated major ions associated with mountaintop coal mining on freshwater invertebrates.

Authors:  James L Kunz; Justin M Conley; David B Buchwalter; Teresa J Norberg-King; Nile E Kemble; Ning Wang; Christopher G Ingersoll
Journal:  Environ Toxicol Chem       Date:  2013-10-29       Impact factor: 3.742

6.  Science and regulation. Mountaintop mining consequences.

Authors:  M A Palmer; E S Bernhardt; W H Schlesinger; K N Eshleman; E Foufoula-Georgiou; M S Hendryx; A D Lemly; G E Likens; O L Loucks; M E Power; P S White; P R Wilcock
Journal:  Science       Date:  2010-01-08       Impact factor: 47.728

Review 7.  The environmental costs of mountaintop mining valley fill operations for aquatic ecosystems of the Central Appalachians.

Authors:  Emily S Bernhardt; Margaret A Palmer
Journal:  Ann N Y Acad Sci       Date:  2011-03       Impact factor: 5.691

8.  A method for assessing the potential for confounding applied to ionic strength in central Appalachian streams.

Authors:  Glenn W Suter; Susan M Cormier
Journal:  Environ Toxicol Chem       Date:  2013-02       Impact factor: 3.742

9.  Assessing causation of the extirpation of stream macroinvertebrates by a mixture of ions.

Authors:  Susan M Cormier; Glenn W Suter; Lei Zheng; Gregory J Pond
Journal:  Environ Toxicol Chem       Date:  2012-12-27       Impact factor: 3.742

10.  Relationship of land use and elevated ionic strength in Appalachian watersheds.

Authors:  Susan M Cormier; Samuel P Wilkes; Lei Zheng
Journal:  Environ Toxicol Chem       Date:  2012-12-28       Impact factor: 3.742

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  12 in total

1.  Identifying Catchment-Scale Predictors of Coal Mining Impacts on New Zealand Stream Communities.

Authors:  Joanne E Clapcott; Eric O Goodwin; Jon S Harding
Journal:  Environ Manage       Date:  2015-10-14       Impact factor: 3.266

2.  Effects of coal mining, forestry, and road construction on southern Appalachian stream invertebrates and habitats.

Authors:  Michael M Gangloff; Michael Perkins; Peter W Blum; Craig Walker
Journal:  Environ Manage       Date:  2014-12-21       Impact factor: 3.266

Review 3.  Multiple riparian-stream connections are predicted to change in response to salinization.

Authors:  Sally A Entrekin; Natalie A Clay; Anastasia Mogilevski; Brooke Howard-Parker; Michelle A Evans-White
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2018-12-03       Impact factor: 6.237

Review 4.  Lost in translation: the German literature on freshwater salinization.

Authors:  Claus-Jürgen Schulz; Miguel Cañedo-Argüelles
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2018-12-03       Impact factor: 6.237

5.  Variation in stream network relationships and geospatial predictions of watershed conductivity.

Authors:  Michael G McManus; Ellen D'Amico; Elizabeth M Smith; Robyn Polinsky; Jerry Ackerman; Kip Tyler
Journal:  Freshw Sci       Date:  2020-12-01       Impact factor: 2.034

6.  Predicting mayfly recovery in acid mine-impaired streams using logistic regression models of in-stream habitat and water chemistry.

Authors:  Kelly S Johnson; Ed Rankin; Jen Bowman; Jessica Deeds; Natalie Kruse
Journal:  Environ Monit Assess       Date:  2018-03-07       Impact factor: 2.513

7.  A field-based characterization of conductivity in areas of minimal alteration: A case example in the Cascades of northwestern United States.

Authors:  Susan M Cormier; Lei Zheng; Gretchen Hayslip; Colleen M Flaherty
Journal:  Sci Total Environ       Date:  2018-02-19       Impact factor: 7.963

8.  Field-based method for evaluating the annual maximum specific conductivity tolerated by freshwater invertebrates.

Authors:  Susan M Cormier; Lei Zheng; Colleen M Flaherty
Journal:  Sci Total Environ       Date:  2018-02-07       Impact factor: 7.963

9.  A field-based model of the relationship between extirpation of salt-intolerant benthic invertebrates and background conductivity.

Authors:  Susan M Cormier; Lei Zheng; Colleen M Flaherty
Journal:  Sci Total Environ       Date:  2018-02-22       Impact factor: 7.963

10.  Mapping the yearly extent of surface coal mining in Central Appalachia using Landsat and Google Earth Engine.

Authors:  Andrew A Pericak; Christian J Thomas; David A Kroodsma; Matthew F Wasson; Matthew R V Ross; Nicholas E Clinton; David J Campagna; Yolandita Franklin; Emily S Bernhardt; John F Amos
Journal:  PLoS One       Date:  2018-07-25       Impact factor: 3.240

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