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| Titel |
Towards understanding tree root profiles: simulating hydrologically optimal strategies for root distribution |
| VerfasserIn |
M. T. Wijk, W. Bouten |
| 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 ; 5, no. 4 ; Nr. 5, no. 4, S.629-644 |
| Datensatznummer |
250002713
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| Publikation (Nr.) |
 copernicus.org/hess-5-629-2001.pdf |
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| Zusammenfassung |
| In this modelling study
differences in vertical root distributions measured in four contrasting forest
locations in the Netherlands were investigated. Root
distributions are seen as a reflection of the plant’s optimisation strategy,
based on hydrological grounds. The "optimal" root
distribution is defined as the one that maximises the water uptake from the root
zone over a period of ten years. The optimal root distributions
of four forest locations with completely different soil physical characteristics
are calculated using the soil hydrological model SWIF. Two
different model configurations for root interactions were tested: the standard
model configuration in which one single root profile was
used (SWIF-NC), and a model configuration in which two root profiles compete for
the same available water (SWIF-C). The root profiles were
parameterised with genetic algorithms. The fitness of a certain root profile was
defined as the amount of water uptake over a simulation
period of ten years. The root profiles of SWIF-C were optimised using an
evolutionary game. The results showed clear differences in
optimal root distributions between the various sites and also between the two
model configurations. Optimisation with SWIF-C resulted in root
profiles that were easier to interpret in terms of feasible biological
strategies. Preferential water uptake in wetter soil regions was an important
factor for interpretation of the simulated root distributions. As the optimised
root profiles still showed differences with measured profiles,
this analysis is presented, not as the final solution for explaining differences
in root profiles of vegetation but as a first step using an optimisation
theory to increase understanding of the root profiles of trees.
Keywords: forest hydrology, optimisation, roots |
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