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| Titel |
Comparative analysis of hydrologic signatures in two agricultural watersheds in east-central Illinois: legacies of the past to inform the future |
| VerfasserIn |
M. A. Yaeger, M. Sivapalan  , G. F. McIsaac, X. Cai |
| 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 ; 17, no. 11 ; Nr. 17, no. 11 (2013-11-21), S.4607-4623 |
| Datensatznummer |
250086001
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| Publikation (Nr.) |
 copernicus.org/hess-17-4607-2013.pdf |
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| Zusammenfassung |
| Historically, the central Midwestern US has undergone
drastic anthropogenic land use change, having been transformed, in part
through government policy, from a natural grassland system to an
artificially drained agricultural system devoted to row cropping corn and
soybeans. Current federal policies are again influencing land use in this
region with increased corn acreage and new biomass crops proposed as part of
an energy initiative emphasizing biofuels. To better address these present
and future challenges it is helpful to understand whether and how the
legacies of past changes have shaped the current response of the system. To
this end, a comparative analysis of the hydrologic signatures in both
spatial and time series data from two central Illinois watersheds was
undertaken. The past history of these catchments is reflected in their
current hydrologic responses, which are highly heterogeneous due to
differences in geologic history, artificial drainage patterns, and reservoir
operation, and manifest temporally, from annual to daily timescales, and
spatially, both within and between the watersheds. These differences are
also apparent from analysis of the summer low flows, where the more
tile-drained watershed shows greater variability overall than does the more
naturally drained one. In addition, precipitation in this region is also
spatially heterogeneous even at small scales, and this, interacting with and
filtering through the historical modifications to the system, increases the
complexity of the problem of predicting the catchment response to future
changes. |
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