Lüke, Anna ; Hack, Jochen (2018):
Comparing applicability of commonly used Hydrological Ecosystem Services Models for an integrated decision-support.
In: Sustainability, 10 (2), pp. 1-22. MDPI, ISSN 2071-1050,
DOI: 10.3390/su10020346,
[Article]
Abstract
Different simulation models are used in science and practice in order to incorporate hydrological ecosystem services in decision-making processes. This contribution compares three simulation models, the Soil and Water Assessment Tool, a traditional hydrological model, and two ecosystem services models, the Integrated Valuation of Ecosystem Services and Trade-offs model and the Resource Investment Optimization System model. The three models are compared on a theoretical and conceptual basis as well in a comparative case study application. The application of the models to a study area in Nicaragua reveals that a practical benefit to apply these models for different questions in decision-making generally exists. However, modelling of hydrological ecosystem services is associated with a high application effort and requires input data that may not always be available. The degree of detail in temporal and spatial variability in ecosystem service provision is higher when using the Soil and Water Assessment Tool compared to the two ecosystem service models. In contrast, the ecosystem service models have lower requirements on input data and process knowledge. A relationship between service provision and beneficiaries is readily produced and can be visualized as a model output. The latter is especially useful for a practical decision-making context.
Item Type: | Article |
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Erschienen: | 2018 |
Creators: | Lüke, Anna ; Hack, Jochen |
Title: | Comparing applicability of commonly used Hydrological Ecosystem Services Models for an integrated decision-support |
Language: | English |
Abstract: | Different simulation models are used in science and practice in order to incorporate hydrological ecosystem services in decision-making processes. This contribution compares three simulation models, the Soil and Water Assessment Tool, a traditional hydrological model, and two ecosystem services models, the Integrated Valuation of Ecosystem Services and Trade-offs model and the Resource Investment Optimization System model. The three models are compared on a theoretical and conceptual basis as well in a comparative case study application. The application of the models to a study area in Nicaragua reveals that a practical benefit to apply these models for different questions in decision-making generally exists. However, modelling of hydrological ecosystem services is associated with a high application effort and requires input data that may not always be available. The degree of detail in temporal and spatial variability in ecosystem service provision is higher when using the Soil and Water Assessment Tool compared to the two ecosystem service models. In contrast, the ecosystem service models have lower requirements on input data and process knowledge. A relationship between service provision and beneficiaries is readily produced and can be visualized as a model output. The latter is especially useful for a practical decision-making context. |
Journal or Publication Title: | Sustainability |
Journal Volume: | 10 |
Issue Number: | 2 |
Publisher: | MDPI |
Uncontrolled Keywords: | hydrological ecosystem services; hydrological modelling; decision support; model comparison; Nicaragua; ecosystem service quantification; river basin management |
Divisions: | 11 Department of Materials and Earth Sciences 11 Department of Materials and Earth Sciences > Earth Science 11 Department of Materials and Earth Sciences > Earth Science > Ecological Engineering 13 Department of Civil and Environmental Engineering Sciences 13 Department of Civil and Environmental Engineering Sciences > Institute of Hydraulic and Water Resources Engineering 13 Department of Civil and Environmental Engineering Sciences > Institute of Hydraulic and Water Resources Engineering > Engineering Hydrology and Water Management |
Date Deposited: | 29 Jan 2018 15:06 |
DOI: | 10.3390/su10020346 |
URL / URN: | http://www.mdpi.com/2071-1050/10/2/346 |
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