Repository logo
  • Log In
    New user? Click here to register.Have you forgotten your password?
University College Dublin
    Colleges & Schools
    Statistics
    All of DSpace
  • Log In
    New user? Click here to register.Have you forgotten your password?
  1. Home
  2. Institutes and Centres
  3. Centre for Water Resources Research
  4. Centre for Water Resources Research Collection
  5. Challenges in using hydrology and water quality models for assessing freshwater ecosystem services: A review
 
  • Details
Options

Challenges in using hydrology and water quality models for assessing freshwater ecosystem services: A review

Author(s)
Hallouin, Thibault  
Bruen, Michael  
Christie, Mike  
Bullock, Craig  
Kelly-Quinn, Mary  
Uri
http://hdl.handle.net/10197/9475
Date Issued
2018-02
Date Available
2018-09-14T11:44:22Z
Abstract
Freshwater ecosystems contribute to many ecosystem services, many of which are being threatened by human activities such as land use change, river morphological changes, and climate change. Many disciplines have studied the processes underlying freshwater ecosystem functions, ranging from hydrology to ecology, including water quality, and a panoply of models are available to simulate their behaviour. This understanding is useful for the prediction of ecosystem services, but the model outputs must go beyond the production of time-series of biophysical variables, and must facilitate the beneficial use of the information it contains about the ecosystem services it describes. This article analyses the literature of ad hoc approaches that aim at quantifying one or more freshwater ecosystem services. It identifies the strategies adopted to use disciplinary-specific models for the prediction of the services. This review identifies that hydrological, water quality, and ecological models form a valuable knowledge base to predict changes in ecosystem conditions, but challenges remain to make proper and fruitful use of these models. In particular, considerations of temporal and spatial scales could be given more attention in order to provide better justifications for the choice of a particular model over another, including the uncertainty in their predictions.
Sponsorship
Environmental Protection Agency
Type of Material
Journal Article
Publisher
MDPI
Journal
Geosciences
Volume
8
Issue
2
Start Page
45
Copyright (Published Version)
2018 the Authors
Subjects

Freshwater resources

Ecosystem services

Hydrology

Water quality

Modelling

DOI
10.3390/geosciences8020045
Language
English
Status of Item
Peer reviewed
This item is made available under a Creative Commons License
https://creativecommons.org/licenses/by-nc-nd/3.0/ie/
File(s)
Loading...
Thumbnail Image
Name

manuscript_accepted_geosciences_2018.pdf

Description
last accepted draft
Size

996.01 KB

Format

Adobe PDF

Checksum (MD5)

f0c4ac4e6d678ddd732608d28fcb3ca7

Owning collection
Centre for Water Resources Research Collection
Mapped collections
Architecture, Planning and Environmental Policy Research Collection•
Biology & Environmental Science Research Collection•
Climate Change Collection

Item descriptive metadata is released under a CC-0 (public domain) license: https://creativecommons.org/public-domain/cc0/.
All other content is subject to copyright.

Built with DSpace-CRIS software - Extension maintained and optimized by 4Science

  • Cookie settings
  • Privacy policy
  • End User Agreement