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Can I read Predicting streamflow response to fire-induced landcover change: Implications of parameter uncertainty in the MIKE SHE model on EtoBox?

Predicting streamflow response to fire-induced landcover change: Implications of parameter uncertainty in the MIKE SHE model by Christine E. McMichael; Allen S. Hope is a Environmental Science article available to read on EtoBox.

What is Predicting streamflow response to fire-induced landcover change: Implications of parameter uncertainty in the MIKE SHE model about?

Fire is a primary agent of landcover transformation in California semi-arid shrubland watersheds, however few studies have examined the impacts of fire and post-fire succession on streamflow dynamics in these basins. While it may seem intuitive that larger fires will have a greater impact on streamflow response than smaller fires in these watersheds, the nature of these relationships has not been determined. The effects of fire size on seasonal and annual streamflow responses were investigated for a medium-sized basin in central California using a modified version of the MIKE SHE model which had been previously calibrated and tested for this watershed using the Generalized Likelihood Uncertainty Estimation methodology. Model simulations were made for two contrasting periods, wet and dry, in order to assess whether fire size effects varied with weather regime. Results indicated that seasonal and annual streamflow response increased nearly linearly with fire size in a given year under both regimes. Annual flow response was generally higher in wetter years for both weather regimes, however a clear trend was confounded by the effect of stand age. These results expand our understanding

Who reads Predicting streamflow response to fire-induced landcover change: Implications of parameter uncertainty in the MIKE SHE model?

It is typically read by researchers, students, and practitioners in Environmental Science.

Author
Christine E. McMichael; Allen S. Hope
Publisher
Elsevier Science; Elsevier ; Elsevier Inc.; Elsevier BV (ISSN 0301-4797)
Published
2007
Language
EN
Field
Environmental Science (Physical Sciences)

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