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

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.
- Helmholtz Association of German Research Centres Germany
- CGIAR Consortium France
- International Water Management Institute Sri Lanka
- International Water Management Institute Sri Lanka
- Leibniz Association Germany
550, Integrated modelling, models, Model coupling, catchment areas, Ecosystem services, stream flow, Land and water, environmental engineering, biomass, software, ddc:550, couplings, grasslands, land use, calibration, grazing lands, environmental assessment, Institut für Geowissenschaften, ecosystem services
550, Integrated modelling, models, Model coupling, catchment areas, Ecosystem services, stream flow, Land and water, environmental engineering, biomass, software, ddc:550, couplings, grasslands, land use, calibration, grazing lands, environmental assessment, Institut für Geowissenschaften, ecosystem services
citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).21 popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.Top 10% influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).Top 10% impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Top 10% visibility views 6 download downloads 16 - 6views16downloads
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