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Titel |
Modelling the effects of climate on long-term patterns of dissolved organic carbon concentrations in the surface waters of a boreal catchment |
VerfasserIn |
M. N. Futter, M. Starr, M. Forsius, M. Holmberg |
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 ; 12, no. 2 ; Nr. 12, no. 2 (2008-03-05), S.437-447 |
Datensatznummer |
250010567
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Publikation (Nr.) |
copernicus.org/hess-12-437-2008.pdf |
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Zusammenfassung |
Dissolved organic carbon concentrations ([DOC]) in surface waters are
increasing in many regions of Europe and North America. These increases are
likely driven by a combination of changing climate, recovery from
acidification and change in severity of winter storms in coastal areas.
INCA-C, a process-based model of climate effects on surface water [DOC], was
used to explore the mechanisms by which changing climate controls seasonal
to inter-annual patterns of [DOC] in the lake and outflow stream of a small
Finnish catchment between 1990 and 2003. Both production in the catchment
and mineralization in the lake controlled [DOC] in the lake. Concentrations
in the catchment outflow were controlled by rates of DOC production in the
surrounding organic soils. The INCA-C simulation results were compared to
those obtained using artificial neural networks (ANN). In general, "black
box" ANN models provide better fits to observed data but process-based
models can identify the mechanism responsible for the observed pattern. A
statistically significant increase was observed in both INCA-C modelled and
measured annual average [DOC] in the lake. This suggests that some of the
observed increase in surface water [DOC] is caused by climate-related
processes operating in the lake and catchment. However, a full understanding
of surface water [DOC] dynamics can only come from catchment-scale
process-based models linking the effects of changing climate and deposition
on aquatic and terrestrial environments. |
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