Changes in soil water balance following afforestation of former arable soils in Denmark as evaluated using the DAISY model
Author
dc.contributor.author
Salazar Guerrero, Osvaldo
Author
dc.contributor.author
Hansen, Søren
es_CL
Author
dc.contributor.author
Abrahamsen, Per
es_CL
Author
dc.contributor.author
Hansen, Karin
es_CL
Author
dc.contributor.author
Gundersen, Per
es_CL
Admission date
dc.date.accessioned
2014-02-06T15:35:48Z
Available date
dc.date.available
2014-02-06T15:35:48Z
Publication date
dc.date.issued
2013
Cita de ítem
dc.identifier.citation
Journal of Hydrology 484 (2013) 128–139
en_US
Identifier
dc.identifier.other
doi 10.1016/j.jhydrol.2013.01.036
Identifier
dc.identifier.uri
https://repositorio.uchile.cl/handle/2250/120236
General note
dc.description
Artículo de publicación ISI
en_US
Abstract
dc.description.abstract
Land use change alters water and element cycles, but the changes in these cycles after conversion, for
example, from cropland to forest are not fully described in hydrological and nutrient transport models,
which usually describe either cropland or forest stands. In the European Union future afforestation is
likely to occur on abandoned cropland, and evaluation of the future impacts of this land use change will
require projections with models that include combined cropland-forest modules. This study used the
agro-based DAISY model (Version 4.93) to investigate changes in the soil water balance over four decades
following afforestation of a homogeneous area of former arable land on a sandy loam in Denmark. Hydrological
data collected during nine hydrological years (April 2001–March 2010) were used to test the
DAISY model. Monthly data on soil water content at 0–90 cm used for calibration were available from
April 2001 to December 2002 for six monoculture stands of oak (age 8, 22 and 31 years) and Norway
spruce (age 4, 13 and 32 years). Model performance was evaluated by considering uncertainties in model
inputs using the Generalised Likelihood Uncertainty Estimation (GLUE) procedure. The GLUE estimates
obtained (uncertainty bands 5% and 95%) agreed satisfactorily with measured monthly soil water content
during the calibration period (April 2001–December 2002). Similarly, in the oldest oak stand, long-term
monitoring observations and predictions of monthly water content were in satisfactory agreement during
the period January 2003–March 2010). Sensitivity analysis showed that the DAISY model was most sensitive
to the potential evapotranspiration factor and soil hydraulic parameters included in the Campbell
model. Simulation results during nine hydrological years showed that 16–25% of incoming precipitation
led to water recharge in the spruce stands, while the corresponding range for oak stands was 25–27%. A
35-year DAISY simulation revealed that Norway spruce consumed more water than oak, with differences
in annual water recharge in the range 31–174 mm year 1 and with greater differences in rainy years (precipitation
>900 mm year 1).