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  Coupling land-use change and hydrologic models for quantification of catchment ecosystem services

Yalew, S. G., Pilz, T., Schweitzer, C., Liersch, S., Kwast, J. v. d., Griensven, A. v., Mul, M. L., Dickens, C., Zaag, P. v. d. (2018): Coupling land-use change and hydrologic models for quantification of catchment ecosystem services. - Environmental Modelling and Software, 109, 315-328.
https://doi.org/10.1016/j.envsoft.2018.08.029

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 Creators:
Yalew, S. G.1, Author
Pilz, T.1, Author
Schweitzer, C.1, Author
Liersch, Stefan2, Author              
Kwast, J. van der1, Author
Griensven, A. van1, Author
Mul, M. L.1, Author
Dickens, C.1, Author
Zaag, P. van der1, Author
Affiliations:
1External Organizations, ou_persistent22              
2Potsdam Institute for Climate Impact Research, ou_persistent13              

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 Abstract: Representation of land-use and hydrologic interactions in respective models has traditionally been problematic. The use of static land-use in most hydrologic models or that of the use of simple hydrologic proxies in land-use change models call for more integrated approaches. The objective of this study is to assess whether dynamic feedback between land-use change and hydrology can (1) improve model performances, and/or (2) produce a more realistic quantification of ecosystem services. To test this, we coupled a land-use change model and a hydrologic mode. First, the land-use change and the hydrologic models were separately developed and calibrated. Then, the two models were dynamically coupled to exchange data at yearly time-steps. The approach is applied to a catchment in South Africa. Performance of coupled models when compared to the uncoupled models were marginal, but the coupled models excelled at the quantification of catchment ecosystem services more robustly.

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 Dates: 2018
 Publication Status: Finally published
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: Peer
 Identifiers: DOI: 10.1016/j.envsoft.2018.08.029
PIKDOMAIN: Climate Impacts & Vulnerabilities - Research Domain II
eDoc: 8183
Research topic keyword: Ecosystems
Research topic keyword: Freshwater
Model / method: SWIM
Regional keyword: Africa
Organisational keyword: RD2 - Climate Resilience
Working Group: Hydroclimatic Risks
 Degree: -

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Title: Environmental Modelling and Software
Source Genre: Journal, SCI, Scopus, p3
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Pages: - Volume / Issue: 109 Sequence Number: - Start / End Page: 315 - 328 Identifier: CoNE: https://publications.pik-potsdam.de/cone/journals/resource/journals127