Literature DB >> 21210212

Development and validation of rapid assessment indices of condition for coastal tidal wetlands in southern New England, USA.

Cathleen Wigand1, Bruce Carlisle, Jan Smith, Mark Carullo, Debora Fillis, Michael Charpentier, Richard McKinney, Roxanne Johnson, James Heltshe.   

Abstract

Vegetation, soils, on-site disturbances, and watershed land use and land cover were assessed at 81 coastal tidal wetland sites using the New England Rapid Assessment Method. Condition indices (CIs) were derived from various combinations of the multi-dimensional data using principal component analyses and a ranking approach. Nested within the 81 wetlands was a set of ten reference sites which encompassed a range of watershed development and nitrogen loadings. The reference set of coastal tidal wetlands was previously examined with an intensive assessment, which included detailed measures of vegetation, soils, and infauna. Significant relationships were found between most of the rapid assessment CIs and the intensive assessment index. Significant relationships were also found between rapid assessment CIs and the developed lands in a 1-km buffer around the coastal wetlands. The regression results of the rapid assessment CIs with the intensive assessment index suggest that measures of vegetation communities, marsh landscape features, onsite marsh disturbances, and watershed natural lands can be used to develop valid CIs, and that it is unnecessary to make finer scale measurements of plant species and soils when evaluating ambient condition of coastal tidal wetlands in southern New England. However, increasing the survey points within coastal tidal wetland units when using a rapid assessment method in southern New England would allow for more observations of vegetation communities, marsh landscape features, and disturbances. Nevertheless, more detailed measures of hydrology, soils, plant species, and other biota may be necessary for tracking restoration or mitigation projects. A robust and standardized rapid assessment method will allow New England states to inventory the ambient condition of coastal tidal wetlands, assess long-term trends, and support management activities to restore and maintain healthy wetlands.

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Year:  2011        PMID: 21210212     DOI: 10.1007/s10661-010-1856-y

Source DB:  PubMed          Journal:  Environ Monit Assess        ISSN: 0167-6369            Impact factor:   2.513


  4 in total

1.  Assessing wetland condition on a watershed basis in the Mid-Atlantic region using synoptic land-cover maps.

Authors:  Robert P Brooks; Denice H Wardrop; Joseph A Bishop
Journal:  Environ Monit Assess       Date:  2004-06       Impact factor: 2.513

2.  Denitrification enzyme activity of fringe salt marshes in New England (USA).

Authors:  Cathleen Wigand; Richard A McKinney; Marnita M Chintala; Michael A Charpentier; Peter M Groffman
Journal:  J Environ Qual       Date:  2004 May-Jun       Impact factor: 2.751

3.  Development of a reference coastal wetland set in Southern New England (USA).

Authors:  Cathleen Wigand; Richard McKinney; Marnita Chintala; Suzanne Lussier; James Heltshe
Journal:  Environ Monit Assess       Date:  2009-02-18       Impact factor: 2.513

4.  Rapid shoreward encroachment of salt marsh cordgrass in response to accelerated sea-level rise.

Authors:  J P Donnelly; M D Bertness
Journal:  Proc Natl Acad Sci U S A       Date:  2001-11-27       Impact factor: 11.205

  4 in total
  2 in total

1.  Application of a three-tier framework to assess ecological condition of Gulf of Mexico coastal wetlands.

Authors:  Janet A Nestlerode; Virginia D Hansen; Aarin Teague; Matthew C Harwell
Journal:  Environ Monit Assess       Date:  2014-01-29       Impact factor: 2.513

2.  High nutrient loads amplify carbon cycling across California and New York coastal wetlands but with ambiguous effects on marsh integrity and sustainability.

Authors:  Elizabeth Burke Watson; Farzana I Rahman; Andrea Woolfolk; Robert Meyer; Nicole Maher; Cathleen Wigand; Andrew B Gray
Journal:  PLoS One       Date:  2022-09-09       Impact factor: 3.752

  2 in total

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