Literature DB >> 11815830

Determining ecological equivalence in service-to-service scaling of salt marsh restoration.

Elizabeth Strange1, Hector Galbraith, Sarah Bickel, Dave Mills, Douglas Beltman, Joshua Lipton.   

Abstract

The amount of ecological restoration required to mitigate or compensate for environmental injury or habitat loss is often based on the goal of achieving ecological equivalence. However, few tools are available for estimating the extent of restoration required to achieve habitat services equivalent to those that were lost. This paper describes habitat equivalency analysis (HEA), a habitat-based "service-to-service" approach for determining the amount of restoration needed to compensate for natural resource losses, and examines issues in its application in the case of salt marsh restoration. The scientific literature indicates that although structural attributes such as vegetation may recover within a few years, there is often a significant lag in the development of ecological processes such as nutrient cycling that are necessary for a fully functioning salt marsh. Moreover, natural variation can make recovery trajectories difficult to define and predict for many habitat services. HEA is an excellent tool for scaling restoration actions because it reflects this ecological variability and complexity. At the same time, practitioners must recognize that conclusions about the amount of restoration needed to provide ecological services equivalent to those that are lost will depend critically on the ecological data and assumptions that are used in the HEA calculation.

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Year:  2002        PMID: 11815830     DOI: 10.1007/s00267-001-0019-x

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


  9 in total

1.  Using Habitat Equivalency Analysis to Assess the Cost Effectiveness of Restoration Outcomes in Four Institutional Contexts.

Authors:  Pierre Scemama; Harold Levrel
Journal:  Environ Manage       Date:  2015-08-26       Impact factor: 3.266

2.  A framework for net environmental benefit analysis for remediation or restoration of contaminated sites.

Authors:  Rebecca A Efroymson; Joseph P Nicolette; Glenn W Suter
Journal:  Environ Manage       Date:  2004-08-24       Impact factor: 3.266

3.  Landscape equivalency analysis: methodology for estimating spatially explicit biodiversity credits.

Authors:  Douglas J Bruggeman; Michael L Jones; Frank Lupi; Kim T Scribner
Journal:  Environ Manage       Date:  2005-10       Impact factor: 3.266

4.  Associating ecosystem service losses with indicators of toxicity in habitat equivalency analysis.

Authors:  Dave Cacela; Joshua Lipton; Douglas Beltman; James Hansen; Robert Wolotira
Journal:  Environ Manage       Date:  2005-03       Impact factor: 3.266

5.  Refining the use of habitat equivalency analysis.

Authors:  Steven M Thur
Journal:  Environ Manage       Date:  2007-04-26       Impact factor: 3.266

6.  A rapid method to score stream reaches based on the overall performance of their main ecological functions.

Authors:  David K Rowe; Stephanie Parkyn; John Quinn; Kevin Collier; Chris Hatton; Michael K Joy; John Maxted; Stephen Moore
Journal:  Environ Manage       Date:  2009-05-12       Impact factor: 3.266

7.  Accounting for Uncertainty and Time Lags in Equivalency Calculations for Offsetting in Aquatic Resources Management Programs.

Authors:  Michael J Bradford
Journal:  Environ Manage       Date:  2017-05-18       Impact factor: 3.266

8.  Ecosystems, ecological restoration, and economics: does habitat or resource equivalency analysis mean other economic valuation methods are not needed?

Authors:  W Douglass Shaw; Marta Wlodarz
Journal:  Ambio       Date:  2012-09-28       Impact factor: 5.129

9.  Restoration Scaling Approaches to Addressing Ecological Injury: The Habitat-Based Resource Equivalency Method.

Authors:  Mary Baker; Adam Domanski; Terill Hollweg; Jason Murray; Diana Lane; Kristin Skrabis; Robert Taylor; Tom Moore; Lisa DiPinto
Journal:  Environ Manage       Date:  2020-01-08       Impact factor: 3.266

  9 in total

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