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Use of quantitative habitat models for establishing performance metrics in river restoration planning

Use of quantitative habitat models for establishing performance metrics in river restoration planning
Use of quantitative habitat models for establishing performance metrics in river restoration planning
The ecological effectiveness and success of river restoration strongly depend on the resources invested in planning. Unfortunately, this trend of restoration engineering is frequently compromised by the application of qualitative assessment and resource intensive adaptive management processes. Habitat simulation models are effective tools for selecting ecologically effective restoration measures as part of the Environmental Benefits Analysis. Through the support from a mesohabitat simulation model, we identified three habitat metrics: (1) Habitat Quantity Deficiency; (2) Alteration of Habitat Structure; and (3) Habitat Stress Days Alteration to quantify and visualize differences between restoration options in Restoration Alternatives Assessment diagram. This concept of quantifying habitat models is supported by an example of application in the Wekepeke Brook in Massachusetts, in which the habitat metrics were used to define quantitative benchmarks, goals and targets to guide the restoration process from the design to the evaluation phase. The three habitat metrics are a cost effective alternative for evaluating the ecological benefits of a planned action. The methodology contributes to a high potential for designing and monitoring restoration projects.
1936-0584
668-678
Parasiewicz, P.
f41aeccd-a196-4719-99fe-8fa228b7cc0d
Ryan, K.
8053f72f-2abf-4a56-8e52-b58df1fdce91
Vezza, P.
b8f933f4-bd6e-468b-835c-ada608d08ecc
Comoglio, C.
49ce7e94-5fd9-4582-8968-c6062c4210d9
Ballestero, T.
e7b46938-5767-4096-ad17-d30be59a28e4
Rogers, J.N.
9194c653-4a9f-4b45-953b-27c605fd4418
Parasiewicz, P.
f41aeccd-a196-4719-99fe-8fa228b7cc0d
Ryan, K.
8053f72f-2abf-4a56-8e52-b58df1fdce91
Vezza, P.
b8f933f4-bd6e-468b-835c-ada608d08ecc
Comoglio, C.
49ce7e94-5fd9-4582-8968-c6062c4210d9
Ballestero, T.
e7b46938-5767-4096-ad17-d30be59a28e4
Rogers, J.N.
9194c653-4a9f-4b45-953b-27c605fd4418

Parasiewicz, P., Ryan, K., Vezza, P., Comoglio, C., Ballestero, T. and Rogers, J.N. (2013) Use of quantitative habitat models for establishing performance metrics in river restoration planning. Ecohydrology, 6 (4), 668-678. (doi:10.1002/eco.1350).

Record type: Article

Abstract

The ecological effectiveness and success of river restoration strongly depend on the resources invested in planning. Unfortunately, this trend of restoration engineering is frequently compromised by the application of qualitative assessment and resource intensive adaptive management processes. Habitat simulation models are effective tools for selecting ecologically effective restoration measures as part of the Environmental Benefits Analysis. Through the support from a mesohabitat simulation model, we identified three habitat metrics: (1) Habitat Quantity Deficiency; (2) Alteration of Habitat Structure; and (3) Habitat Stress Days Alteration to quantify and visualize differences between restoration options in Restoration Alternatives Assessment diagram. This concept of quantifying habitat models is supported by an example of application in the Wekepeke Brook in Massachusetts, in which the habitat metrics were used to define quantitative benchmarks, goals and targets to guide the restoration process from the design to the evaluation phase. The three habitat metrics are a cost effective alternative for evaluating the ecological benefits of a planned action. The methodology contributes to a high potential for designing and monitoring restoration projects.

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More information

e-pub ahead of print date: 29 November 2012
Published date: August 2013
Organisations: Water & Environmental Engineering Group

Identifiers

Local EPrints ID: 403166
URI: http://eprints.soton.ac.uk/id/eprint/403166
ISSN: 1936-0584
PURE UUID: 956c0641-f238-4687-aaaa-b5bc01b3afa9

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Date deposited: 30 Nov 2016 16:34
Last modified: 15 Mar 2024 03:36

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Contributors

Author: P. Parasiewicz
Author: K. Ryan
Author: P. Vezza
Author: C. Comoglio
Author: T. Ballestero
Author: J.N. Rogers

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