Literature DB >> 35357588

The coastal plain headwater stream restoration (CP-HStR) index: a macroinvertebrate index for assessing the biological effectiveness of stream restoration in the Georgia coastal plain, USA.

D Eric Somerville1, Gregory J Pond2.   

Abstract

Stream restoration projects undertaken as compensatory mitigation pursuant to Sect. 404 of the U.S. Clean Water Act must be evaluated using ecological performance standards that are objective and verifiable and based on the best available science that can be measured or assessed in a practicable manner. While performance standards for physical stream conditions are common, evaluating biological conditions following stream restoration activities has proven more problematic. We developed a macroinvertebrate multimetric index for headwater streams in three Southeastern Plains subecoregions (65 g, 65 h, and 65 l) of Georgia using 76 sites sampled in 2019. An abiotic disturbance gradient based on principal components analysis of instream habitat, physicochemical, and land use variables was employed to assign condition classes (good, fair, poor) among sites within each subecoregion. We identified genus-level macroinvertebrate richness and proportional richness of traits-based metrics (habit and functional feeding groups) that demonstrated high discriminatory power between good and poor abiotic conditions and response to individual stressors. Subecoregion-specific metrics were then standardized and aggregated to develop the final index and biological reference curves. These biological reference curves represent a continuum of relevant regional conditions against which a stream enhancement or restoration project may be assessed relative to other streams throughout the region and allow for the award of mitigation credit, if applicable, to be based directly on the relative improvement of biological conditions. These biological performance standards will supplement other performance standards (hydrologic and geomorphic measures) necessary to evaluate the effectiveness of stream restoration projects in the study area.
© 2022. This is a U.S. government work and not under copyright protection in the U.S.; foreign copyright protection may apply.

Entities:  

Keywords:  Coastal plain; Headwater streams; Macroinvertebrate index; Stream mitigation; Success criteria

Mesh:

Year:  2022        PMID: 35357588      PMCID: PMC9066382          DOI: 10.1007/s10661-022-09987-6

Source DB:  PubMed          Journal:  Environ Monit Assess        ISSN: 0167-6369            Impact factor:   3.307


  9 in total

1.  Bioassessment of streams using macroinvertebrates: are the chironomidae necessary?

Authors:  C F Rabeni; N Wang
Journal:  Environ Monit Assess       Date:  2001-10       Impact factor: 2.513

2.  Specific Conductance and pH as Indicators of Watershed Disturbance in Streams of the New Jersey Pinelands, USA.

Authors: 
Journal:  Environ Manage       Date:  2000-10       Impact factor: 3.266

3.  A performance comparison of metric scoring methods for a multimetric index for Mid-Atlantic highlands streams.

Authors:  Karen A Blocksom
Journal:  Environ Manage       Date:  2003-05       Impact factor: 3.266

4.  Benthic macroinvertebrate responses to increasing levels of cattle grazing in Blue Ridge Mountain streams, Virginia, USA.

Authors:  Amy Braccia; J Reese Voshell
Journal:  Environ Monit Assess       Date:  2006-12-14       Impact factor: 2.513

5.  Stream buffer effectiveness in an agriculturally influenced area, southwestern Georgia: responses of water quality, macroinvertebrates, and amphibians.

Authors:  Tara K Muenz; Stephen W Golladay; George Vellidis; Lora L Smith
Journal:  J Environ Qual       Date:  2006-09-13       Impact factor: 2.751

6.  Dispersal constraints for stream invertebrates: setting realistic timescales for biodiversity restoration.

Authors:  Stephanie M Parkyn; Brian J Smith
Journal:  Environ Manage       Date:  2011-06-05       Impact factor: 3.266

7.  River restoration success depends on the species pool of the immediate surroundings.

Authors:  Andrea Sundermann; Stefan Stoll; Peter Haase
Journal:  Ecol Appl       Date:  2011-09       Impact factor: 4.657

8.  Revising the index of watershed integrity national maps.

Authors:  Zachary C Johnson; Scott G Leibowitz; Ryan A Hill
Journal:  Sci Total Environ       Date:  2018-10-10       Impact factor: 7.963

9.  Identifying non-reference sites to guide stream restoration and long-term monitoring.

Authors:  Ryan A McManamay; John G Smith; Robert T Jett; Teresa J Mathews; Mark J Peterson
Journal:  Sci Total Environ       Date:  2017-11-01       Impact factor: 7.963

  9 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.