HESS Opinions: Are soils overrated in hydrology?
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Published:2023-07-18
Issue:14
Volume:27
Page:2607-2620
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ISSN:1607-7938
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Container-title:Hydrology and Earth System Sciences
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language:en
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Short-container-title:Hydrol. Earth Syst. Sci.
Author:
Gao HongkaiORCID, Fenicia Fabrizio, Savenije Hubert H. G.ORCID
Abstract
Abstract. Traditional hydrological theories are based on the assumption that soil is
key in determining water's fate in the hydrological cycle. According to
these theories, soil hydraulic properties determine water movement in both
saturated and unsaturated zones, described by matrix flow formulas such as
the Darcy–Richards equations. They also determine plant-available moisture
and thereby control transpiration. Here we argue that these theories are
founded on a wrong assumption. Instead, we advocate the reverse: the
terrestrial ecosystem manipulates the soil to satisfy specific water
management strategies, which are primarily controlled by the ecosystem's reaction to
climatic drivers and by prescribed boundary conditions such as topography
and lithology. According to this assumption, soil hydraulic properties are
an effect rather than a cause of water movement. We further argue
that the integrated hydrological behaviour of an ecosystem can be inferred
from considerations about ecosystem survival and growth without relying on
internal-process descriptions. An important and favourable consequence of
this climate- and ecosystem-driven approach is that it provides a physical
justification for catchment models that do not rely on soil information and
on the complexity associated with the description of soil water dynamics.
Another consequence is that modelling water movement in the soil, if
required, can benefit from the constraints that are imposed by the embedding
ecosystem. Here we illustrate our ecosystem perspective of hydrological
processes and the arguments that support it. We suggest that advancing our
understanding of ecosystem water management strategies is key to building
more realistic hydrological theories and catchment models that are
predictive in the context of environmental change.
Funder
National Natural Science Foundation of China
Publisher
Copernicus GmbH
Subject
General Earth and Planetary Sciences,General Engineering,General Environmental Science
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