Evaluation of the ECOSSE model for simulating soil organic carbon under M iscanthus and short rotation coppice‐willow crops in B ritain
In this paper, we focus on the impact on soil organic carbon ( SOC ) of two dedicated energy crops: perennial grass M iscanthus x G iganteus ( M iscanthus ) and short rotation coppice ( SRC )‐willow. The amount of SOC sequestered in the soil is a function of site‐specific factors including soil tex...
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Veröffentlicht in: | Global change biology. Bioenergy 2016-07, Vol.8 (4), p.790-804 |
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Sprache: | eng |
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Zusammenfassung: | In this paper, we focus on the impact on soil organic carbon (
SOC
) of two dedicated energy crops: perennial grass
M
iscanthus x
G
iganteus
(
M
iscanthus
) and short rotation coppice (
SRC
)‐willow. The amount of
SOC
sequestered in the soil is a function of site‐specific factors including soil texture, management practices, initial
SOC
levels and climate; for these reasons, both losses and gains in
SOC
were observed in previous
M
iscanthus
and
SRC
‐willow studies. The
ECOSSE
model was developed to simulate soil C dynamics and greenhouse gas emissions in mineral and organic soils. The performance of
ECOSSE
has already been tested at site level to simulate the impacts of land‐use change to short rotation forestry (
SRF
) on
SOC
. However, it has not been extensively evaluated under other bioenergy plantations, such as
M
iscanthus
and
SRC
‐willow. Twenty‐nine locations in the
U
nited
K
ingdom, comprising 19 paired transitions to
SRC
‐willow and 20 paired transitions to
M
iscanthus
, were selected to evaluate the performance of
ECOSSE
in predicting
SOC
and
SOC
change from conventional systems (arable and grassland) to these selected bioenergy crops. The results of the present work revealed a strong correlation between modelled and measured
SOC
and
SOC
change after transition to
M
iscanthus
and
SRC
‐willow plantations, at two soil depths (0–30 and 0–100 cm), as well as the absence of significant bias in the model. Moreover, model error was within (i.e. not significantly larger than) the measurement error. The high degrees of association and coincidence with measured
SOC
under
M
iscanthus
and
SRC
‐willow plantations in the
U
nited
K
ingdom, provide confidence in using this process‐based model for quantitatively predicting the impacts of future land use on
SOC
, at site level as well as at national level. |
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ISSN: | 1757-1693 1757-1707 |
DOI: | 10.1111/gcbb.12286 |