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| Titel |
Land cover and water yield: inference problems when comparing catchments with mixed land cover |
| VerfasserIn |
A. I. J. M. Dijk, J. L. Peña-Arancibia, L. A. Bruijnzeel |
| Medientyp |
Artikel
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| Sprache |
Englisch
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| ISSN |
1027-5606
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| Digitales Dokument |
URL |
| Erschienen |
In: Hydrology and Earth System Sciences ; 16, no. 9 ; Nr. 16, no. 9 (2012-09-26), S.3461-3473 |
| Datensatznummer |
250013483
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| Publikation (Nr.) |
 copernicus.org/hess-16-3461-2012.pdf |
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| Zusammenfassung |
| Controlled experiments provide strong evidence that changing land cover
(e.g. deforestation or afforestation) can affect mean catchment streamflow
(Q). By contrast, a similarly strong influence has not been found in studies
that interpret Q from multiple catchments with mixed land cover. One possible
reason is that there are methodological issues with the way in which the
Budyko framework was used in the latter type studies. We examined this using
Q data observed in 278 Australian catchments and by making inferences from
synthetic Q data simulated by a hydrological process model (the Australian
Water Resources Assessment system Landscape model). The previous contrasting
findings could be reproduced. In the synthetic experiment, the land cover
influence was still present but not accurately detected with the Budyko-
framework. Likely sources of interpretation bias demonstrated include: (i) noise in
land cover, precipitation and Q data; (ii) additional catchment climate
characteristics more important than land cover; and (iii) covariance between
Q and catchment attributes. These methodological issues caution against the
use of a Budyko framework to quantify a land cover influence in Q data from
mixed land-cover catchments. Importantly, however, our findings do not rule
out that there may also be physical processes that modify the influence of
land cover in mixed land-cover catchments. Process model simulations
suggested that lateral water redistribution between vegetation types and
recirculation of intercepted rainfall may be important. |
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