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Special Issue "Advances in Ecological Water System Modeling: Integration and Leanification as a Basis for Application in Environmental Management"

A special issue of Water (ISSN 2073-4441).

Deadline for manuscript submissions: closed (31 March 2017)

Special Issue Editors

Guest Editor
Prof. Dr. Peter L. M. Goethals

Aquatic Ecology Research Unit, Ghent University, J. Plateaustraat 22, B-9000 Ghent, Belgium
Website | E-Mail
Phone: 09 264 37 68
Interests: ecological monitoring and assessment; environmental modeling; sustainability assessment
Guest Editor
Dr. Marie Anne Eurie Forio

Biostatistics Research Unit, Ghent University, Coupure Links 653, B-9000 Ghent, Belgium
Website | E-Mail
Interests: biological monitoring; macroinvertebrate community assessment; tropical river basin studies; global ecology; ecostatistics; ecological modelling

Special Issue Information

Dear Colleagues,

Water system models and ecological models both have a long history. Nevertheless, the practical use of water ecosystem models for decision-making in water management remains very limited and confined to specific applications. The main reasons for this are a high model uncertainty, the focus on too-specific subparts (e.g., merely hydrological, chemical or biological), the high complexity of the (use of the) models, the irrelevance of the possible simulations, or a combination of these elements. Therefore, this Special Issue is seeking success stories in which models have been developed that integrate relevant key components, and/or simplified the models or the user-interface in such a way that these become more relevant and convenient to be used by water managers.

Contributions are most welcome that present ecological water system models that are based on the integration of various components of the water system, including its uses and impact sources (e.g., relation with land use, urban development and infrastructure implementation, as well as ecosystem services). Moreover, the integration of different methods (combining modeling techniques, integration of optimization tools, use of stakeholders and users during model development and validation) and sources of data and information (field data with expert knowledge for instance) can be main topics of contributions. In addition, tools that enhance the understanding by the users (transparency), or the user convenience of the interface and the ease for the execution and comparison of simulations are explicitly part of this call. Finally, more conceptual approaches and reviews that can contribute to the overall improvement of the analysis of uncertainty, model development and general applicability in water management are moreover highly relevant for this Special Issue.

Prof. Dr. Peter Goethals
Dr. Marie Anne Eurie Forio
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All papers will be peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Water is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 1400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • Ecological water system modeling
  • Integrated models
  • Modelling of ecosystem services
  • Water–Energy–Food–Ecosystem Nexus
  • Hybrid models
  • Integration of field data and expert knowledge
  • Integration of datadriven and process-based approaches
  • User-oriented model development
  • Lean model development
  • Model simplification
  • Model transparancy
  • Model relevance
  • Model uncertainty analysis and assessment
  • Model quality control and certification
  • User interface design
  • Model simulation
  • Model evaluation
  • Decision-support in water management

Published Papers (3 papers)

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Research

Open AccessArticle A Methodology to Model Environmental Preferences of EPT Taxa in the Machangara River Basin (Ecuador)
Water 2017, 9(3), 195; doi:10.3390/w9030195
Received: 28 December 2016 / Accepted: 3 March 2017 / Published: 8 March 2017
PDF Full-text (11071 KB) | HTML Full-text | XML Full-text
Abstract
Rivers have been frequently assessed based on the presence of the Ephemeroptera— Plecoptera—Trichoptera (EPT) taxa in order to determine the water quality status and develop conservation programs. This research evaluates the abiotic preferences of three families of the EPT taxa Baetidae, Leptoceridae and
[...] Read more.
Rivers have been frequently assessed based on the presence of the Ephemeroptera— Plecoptera—Trichoptera (EPT) taxa in order to determine the water quality status and develop conservation programs. This research evaluates the abiotic preferences of three families of the EPT taxa Baetidae, Leptoceridae and Perlidae in the Machangara River Basin located in the southern Andes of Ecuador. With this objective, using generalized linear models (GLMs), we analyzed the relation between the probability of occurrence of these pollution-sensitive macroinvertebrates families and physicochemical water quality conditions. The explanatory variables of the constructed GLMs differed substantially among the taxa, as did the preference range of the common predictors. In total, eight variables had a substantial influence on the outcomes of the three models. For choosing the best predictors of each studied taxa and for evaluation of the accuracy of its models, the Akaike information criterion (AIC) was used. The results indicated that the GLMs can be applied to predict either the presence or the absence of the invertebrate taxa and moreover, to clarify the relation to the environmental conditions of the stream. In this manner, these modeling tools can help to determine key variables for river restoration and protection management. Full article
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Figure 1

Open AccessArticle Putting Flow–Ecology Relationships into Practice: A Decision-Support System to Assess Fish Community Response to Water-Management Scenarios
Water 2017, 9(3), 196; doi:10.3390/w9030196
Received: 21 December 2016 / Revised: 21 February 2017 / Accepted: 6 March 2017 / Published: 8 March 2017
Cited by 1 | PDF Full-text (1851 KB) | HTML Full-text | XML Full-text | Supplementary Files
Abstract
This paper presents a conceptual framework to operationalize flow–ecology relationships into decision-support systems of practical use to water-resource managers, who are commonly tasked with balancing multiple competing socioeconomic and environmental priorities. We illustrate this framework with a case study, whereby fish community responses
[...] Read more.
This paper presents a conceptual framework to operationalize flow–ecology relationships into decision-support systems of practical use to water-resource managers, who are commonly tasked with balancing multiple competing socioeconomic and environmental priorities. We illustrate this framework with a case study, whereby fish community responses to various water-management scenarios were predicted in a partially regulated river system at a local watershed scale. This case study simulates management scenarios based on interactive effects of dam operation protocols, withdrawals for municipal water supply, effluent discharges from wastewater treatment, and inter-basin water transfers. Modeled streamflow was integrated with flow–ecology relationships relating hydrologic departure from reference conditions to fish species richness, stratified by trophic, reproductive, and habitat characteristics. Adding a hypothetical new water-withdrawal site was predicted to increase the frequency of low-flow conditions with adverse effects for several fish groups. Imposition of new reservoir release requirements was predicted to enhance flow and fish species richness immediately downstream of the reservoir, but these effects were dissipated further downstream. The framework presented here can be used to translate flow–ecology relationships into evidence-based management by developing decision-support systems for conservation of riverine biodiversity while optimizing water availability for human use. Full article
Figures

Open AccessArticle Establishment and Application of Wetlands Ecosystem Services and Sustainable Ecological Evaluation Indicators
Water 2017, 9(3), 197; doi:10.3390/w9030197
Received: 8 November 2016 / Accepted: 7 March 2017 / Published: 8 March 2017
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Abstract
Gaomei wetlands are national Taiwanese coastal wetlands. Over the past few years, they have grown into an important water bird habitat and popular bird-watching location. However, the rapid growth in tourism has begun to affect the environmental quality in the Gaomei wetlands. This
[...] Read more.
Gaomei wetlands are national Taiwanese coastal wetlands. Over the past few years, they have grown into an important water bird habitat and popular bird-watching location. However, the rapid growth in tourism has begun to affect the environmental quality in the Gaomei wetlands. This study combined ecosystem services (ES) and ecological footprint (EF) assessments to evaluate the sustainability status according to the features of each ecosystem service for the different Gaomei wetlands land uses. The results found that (a) the total Gaomei wetlands ecosystem service value increased from 59.24 million TWD in 2008 to 98.10 million TWD in 2015, and the ecosystem service function was continuously improving; (b) the EF increased by 56.12% over 8 years; and (c) there was a negative growth rate of 106.54% in the ecological deficit (ED) in the sustainable ecological evaluation indicators (SEEI). The ecological footprint index (EFI) in 2015 was at Level 4 at 1.02, and the environmental sustainability index (ESI) was at Level 3 at 0.49. Results show that Gaomei wetlands have a low sustainability; therefore, the local, regional, and national governments need to implement regulations to strictly control the Gaomei wetlands land use. This study demonstrated that ES and EF theory application can give an objective guidance to decision-makers to ensure that wetlands eco-security can be maintained at safe levels. Full article

Planned Papers

The below list represents only planned manuscripts. Some of these manuscripts have not been received by the Editorial Office yet. Papers submitted to MDPI journals are subject to peer-review.

Title: An integrated water-resources model for assessing fish community response to alternative management scenarios
Author: Jennifer Cartwright, Casey Caldwell, Rodney Knight and Steve Nebiker
Affiliation: U.S. Geological Survey Lower Mississippi-Gulf Water Science Center, Nashville, TN 37211, USA
Abstract: Integration of empirically derived ecological flow equations into a hydrologic accounting framework proved useful in evaluating predicted hydrologic and fish community responses to various water-management scenarios. This proof-of-concept study was conducted in a regulated river system at a local watershed scale to simulate effects on streamflow of management scenarios based on dam operation protocols, withdrawals for municipal water supply, effluent discharges from wastewater treatment, and inter-basin water transfer. Modeled streamflow was integrated with ecological limit functions relating hydrologic departure from reference conditions to fish species richness, stratified by trophic and habitat characteristics. This approach enables spatially explicit predictions of fish community responses to hydrologic departure from reference conditions, such that hydro-ecological effects of water-management scenarios can be compared. Because water-resource managers must balance multiple competing socioeconomic and environmental priorities, the framework presented here can serve as a decision-support system to enable the conservation of riverine fish biodiversity while optimizing water availability for human use. 

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