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Screening variability and change of soil moisture under wide-ranging climate conditions: Snow dynamics effects.

Verrot L, Destouni G - Ambio (2015)

Bottom Line: Soil moisture influences and is influenced by water, climate, and ecosystem conditions, affecting associated ecosystem services in the landscape.Spatially, average intra-annual variability of soil moisture differs considerably between the basins due to their temperature-related differences in snow dynamics.With regard to temporal change, the long-term average state and intra-annual variability of soil moisture have not changed much, while inter-annual variability has changed considerably in response to hydro-climatic changes experienced so far in each basin.

View Article: PubMed Central - PubMed

Affiliation: Department of Physical Geography and Quaternary Geology, Stockholm University, 106 91, Stockholm, Sweden, lucile.verrot@natgeo.su.se.

ABSTRACT
Soil moisture influences and is influenced by water, climate, and ecosystem conditions, affecting associated ecosystem services in the landscape. This paper couples snow storage-melting dynamics with an analytical modeling approach to screening basin-scale, long-term soil moisture variability and change in a changing climate. This coupling enables assessment of both spatial differences and temporal changes across a wide range of hydro-climatic conditions. Model application is exemplified for two major Swedish hydrological basins, Norrström and Piteälven. These are located along a steep temperature gradient and have experienced different hydro-climatic changes over the time period of study, 1950-2009. Spatially, average intra-annual variability of soil moisture differs considerably between the basins due to their temperature-related differences in snow dynamics. With regard to temporal change, the long-term average state and intra-annual variability of soil moisture have not changed much, while inter-annual variability has changed considerably in response to hydro-climatic changes experienced so far in each basin.

No MeSH data available.


Average intra-annual distribution of monthly average water content θuz (equation S2 in Supplementary Material—Methods section) and monthly average water content θz (Eq. 3) over the depth z = −2.5 m (panels a and b respectively), for an initial value of the groundwater table zgw−0 = −1 m, in clay loam. Results are shown for two different time-periods and for the two study basins. Dashed lines show one standard deviation from average values. c, d Boxplots of monthly values of θuz (c) and θz (d). The gray squares represent the 1st and 99th percentiles
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Fig5: Average intra-annual distribution of monthly average water content θuz (equation S2 in Supplementary Material—Methods section) and monthly average water content θz (Eq. 3) over the depth z = −2.5 m (panels a and b respectively), for an initial value of the groundwater table zgw−0 = −1 m, in clay loam. Results are shown for two different time-periods and for the two study basins. Dashed lines show one standard deviation from average values. c, d Boxplots of monthly values of θuz (c) and θz (d). The gray squares represent the 1st and 99th percentiles

Mentions: In terms of temporal changes to the water contents θuz and θz (Fig. 5), Piteälven has experienced a slight increase in mean unsaturated water content θuz, reflecting the increase in runoff R in this basin (Fig. 3). In Norrström, where average annual R has decreased even though average annual P has increased (Fig. 3), there is on average less soil water available in the unsaturated zone from April to November, due to this basin’s increase in ET (Fig. 3c; see also Destouni et al. 2013), which is greatest during spring and summer, while in winter (December–March) θuz has slightly increased (Fig. 5a).Fig. 5


Screening variability and change of soil moisture under wide-ranging climate conditions: Snow dynamics effects.

Verrot L, Destouni G - Ambio (2015)

Average intra-annual distribution of monthly average water content θuz (equation S2 in Supplementary Material—Methods section) and monthly average water content θz (Eq. 3) over the depth z = −2.5 m (panels a and b respectively), for an initial value of the groundwater table zgw−0 = −1 m, in clay loam. Results are shown for two different time-periods and for the two study basins. Dashed lines show one standard deviation from average values. c, d Boxplots of monthly values of θuz (c) and θz (d). The gray squares represent the 1st and 99th percentiles
© Copyright Policy - OpenAccess
Related In: Results  -  Collection

Show All Figures
getmorefigures.php?uid=PMC4289003&req=5

Fig5: Average intra-annual distribution of monthly average water content θuz (equation S2 in Supplementary Material—Methods section) and monthly average water content θz (Eq. 3) over the depth z = −2.5 m (panels a and b respectively), for an initial value of the groundwater table zgw−0 = −1 m, in clay loam. Results are shown for two different time-periods and for the two study basins. Dashed lines show one standard deviation from average values. c, d Boxplots of monthly values of θuz (c) and θz (d). The gray squares represent the 1st and 99th percentiles
Mentions: In terms of temporal changes to the water contents θuz and θz (Fig. 5), Piteälven has experienced a slight increase in mean unsaturated water content θuz, reflecting the increase in runoff R in this basin (Fig. 3). In Norrström, where average annual R has decreased even though average annual P has increased (Fig. 3), there is on average less soil water available in the unsaturated zone from April to November, due to this basin’s increase in ET (Fig. 3c; see also Destouni et al. 2013), which is greatest during spring and summer, while in winter (December–March) θuz has slightly increased (Fig. 5a).Fig. 5

Bottom Line: Soil moisture influences and is influenced by water, climate, and ecosystem conditions, affecting associated ecosystem services in the landscape.Spatially, average intra-annual variability of soil moisture differs considerably between the basins due to their temperature-related differences in snow dynamics.With regard to temporal change, the long-term average state and intra-annual variability of soil moisture have not changed much, while inter-annual variability has changed considerably in response to hydro-climatic changes experienced so far in each basin.

View Article: PubMed Central - PubMed

Affiliation: Department of Physical Geography and Quaternary Geology, Stockholm University, 106 91, Stockholm, Sweden, lucile.verrot@natgeo.su.se.

ABSTRACT
Soil moisture influences and is influenced by water, climate, and ecosystem conditions, affecting associated ecosystem services in the landscape. This paper couples snow storage-melting dynamics with an analytical modeling approach to screening basin-scale, long-term soil moisture variability and change in a changing climate. This coupling enables assessment of both spatial differences and temporal changes across a wide range of hydro-climatic conditions. Model application is exemplified for two major Swedish hydrological basins, Norrström and Piteälven. These are located along a steep temperature gradient and have experienced different hydro-climatic changes over the time period of study, 1950-2009. Spatially, average intra-annual variability of soil moisture differs considerably between the basins due to their temperature-related differences in snow dynamics. With regard to temporal change, the long-term average state and intra-annual variability of soil moisture have not changed much, while inter-annual variability has changed considerably in response to hydro-climatic changes experienced so far in each basin.

No MeSH data available.