Literature DB >> 23659798

River rehabilitation for the delivery of multiple ecosystem services at the river network scale.

David J Gilvear1, Chris J Spray, Roser Casas-Mulet.   

Abstract

This paper presents a conceptual framework and methodology to assist with optimising the outcomes of river rehabilitation in terms of delivery of multiple ecosystem services and the benefits they represent for humans at the river network scale. The approach is applicable globally, but was initially devised in the context of a project critically examining opportunities and constraints on delivery of river rehabilitation in Scotland. The spatial-temporal approach highlighted is river rehabilitation measure, rehabilitation scale, location on the stream network, ecosystem service and timescale specific and could be used as initial scoping in the process of planning rehabilitation at the river network scale. The levels of service delivered are based on an expert-derived scoring system based on understanding how the rehabilitation measure assists in reinstating important geomorphological, hydrological and ecological processes and hence intermediate or primary ecosystem function. The framework permits a "total long-term (>25 years) ecosystem service score" to be calculated which is the cumulative result of the combined effect of the number of and level of ecosystem services delivered over time. Trajectories over time for attaining the long-term ecosystem service score for each river rehabilitation measures are also given. Scores could also be weighted according to societal values and economic valuation. These scores could assist decision making in relation to river rehabilitation at the catchment scale in terms of directing resources towards alternative scenarios. A case study is presented of applying the methodology to the Eddleston Water in Scotland using proposed river rehabilitation options for the catchment to demonstrate the value of the approach. Our overall assertion is that unless sound conceptual frameworks are developed that permit the river network scale ecosystem services of river rehabilitation to be evaluated as part of the process of river basin planning and management, the total benefit of river rehabilitation may well be reduced. River rehabilitation together with a 'vision' and framework within which it can be developed, is fundamental to future success in river basin management.
Copyright © 2013 Elsevier Ltd. All rights reserved.

Entities:  

Mesh:

Year:  2013        PMID: 23659798     DOI: 10.1016/j.jenvman.2013.03.026

Source DB:  PubMed          Journal:  J Environ Manage        ISSN: 0301-4797            Impact factor:   6.789


  6 in total

1.  The changing hydrology of a dammed Amazon.

Authors:  Kelsie Timpe; David Kaplan
Journal:  Sci Adv       Date:  2017-11-01       Impact factor: 14.136

2.  Effect of Urbanization on the River Network Structure in Zhengzhou City, China.

Authors:  Hongxiang Wang; Lintong Huang; Jianwen Hu; Huan Yang; Wenxian Guo
Journal:  Int J Environ Res Public Health       Date:  2022-02-21       Impact factor: 3.390

3.  Water quality change and pollution source accounting of Licun River under long-term governance.

Authors:  Minghui Zhang; Lin Wang; Chunxia Mu; Xuda Huang
Journal:  Sci Rep       Date:  2022-02-17       Impact factor: 4.379

4.  Identifying corridors of river recovery in coastal NSW Australia, for use in river management decision support and prioritisation systems.

Authors:  Danelle Agnew; Kirstie Fryirs
Journal:  PLoS One       Date:  2022-06-23       Impact factor: 3.752

5.  A deconvolutional Bayesian mixing model approach for river basin sediment source apportionment.

Authors:  William H Blake; Pascal Boeckx; Brian C Stock; Hugh G Smith; Samuel Bodé; Hari R Upadhayay; Leticia Gaspar; Rupert Goddard; Amy T Lennard; Ivan Lizaga; David A Lobb; Philip N Owens; Ellen L Petticrew; Zou Zou A Kuzyk; Bayu D Gari; Linus Munishi; Kelvin Mtei; Amsalu Nebiyu; Lionel Mabit; Ana Navas; Brice X Semmens
Journal:  Sci Rep       Date:  2018-08-30       Impact factor: 4.379

6.  Public Attitudes, Preferences and Willingness to Pay for River Ecosystem Services.

Authors:  Imran Khan; Hongdou Lei; Gaffar Ali; Shahid Ali; Minjuan Zhao
Journal:  Int J Environ Res Public Health       Date:  2019-10-01       Impact factor: 3.390

  6 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.