Final published version
Research output: Contribution to Journal/Magazine › Journal article › peer-review
Research output: Contribution to Journal/Magazine › Journal article › peer-review
}
TY - JOUR
T1 - Comparing predicted yield and yield stability of willow and Miscanthus across Denmark
AU - Larsen, S.
AU - Jaiswal, D.
AU - Bentsen, N.S.
AU - Wang, D.
AU - Long, S.P.
N1 - Cited By :9 Export Date: 22 July 2019 Correspondence Address: Larsen, S.; Department of Geosciences and Natural Resource Management, University of Copenhagen, Rolighedsvej 23, Denmark; email: slar@ign.ku.dk
PY - 2016/11/1
Y1 - 2016/11/1
N2 - To achieve the goals of energy security and climate change mitigation in Denmark and the EU, an expansion of national production of bioenergy crops is needed. Temporal and spatial variation of yields of willow and Miscanthus is not known for Denmark because of a limited number of field trial data. The semi-mechanistic crop model BioCro was used to simulate the production of both short-rotation coppice (SRC) willow and Miscanthus across Denmark. Predictions were made from high spatial resolution soil data and weather records across this area for 1990–2010. The potential average, rain-fed mean yield was 12.1 Mg DM ha −1 yr −1 for willow and 10.2 Mg DM ha −1 yr −1 for Miscanthus. Coefficient of variation as a measure for yield stability was poorest on the sandy soils of northern and western Jutland, and the year-to-year variation in yield was greatest on these soils. Willow was predicted to outyield Miscanthus on poor, sandy soils, whereas Miscanthus was higher yielding on clay-rich soils. The major driver of yield in both crops was variation in soil moisture, with radiation and precipitation exerting less influence. This is the first time these two major feedstocks for northern Europe have been compared within a single modeling framework and providing an important new tool for decision-making in selection of feedstocks for emerging bioenergy systems. © 2015 The Authors. Global Change Biology Bioenergy Published by John Wiley & Sons Ltd.
AB - To achieve the goals of energy security and climate change mitigation in Denmark and the EU, an expansion of national production of bioenergy crops is needed. Temporal and spatial variation of yields of willow and Miscanthus is not known for Denmark because of a limited number of field trial data. The semi-mechanistic crop model BioCro was used to simulate the production of both short-rotation coppice (SRC) willow and Miscanthus across Denmark. Predictions were made from high spatial resolution soil data and weather records across this area for 1990–2010. The potential average, rain-fed mean yield was 12.1 Mg DM ha −1 yr −1 for willow and 10.2 Mg DM ha −1 yr −1 for Miscanthus. Coefficient of variation as a measure for yield stability was poorest on the sandy soils of northern and western Jutland, and the year-to-year variation in yield was greatest on these soils. Willow was predicted to outyield Miscanthus on poor, sandy soils, whereas Miscanthus was higher yielding on clay-rich soils. The major driver of yield in both crops was variation in soil moisture, with radiation and precipitation exerting less influence. This is the first time these two major feedstocks for northern Europe have been compared within a single modeling framework and providing an important new tool for decision-making in selection of feedstocks for emerging bioenergy systems. © 2015 The Authors. Global Change Biology Bioenergy Published by John Wiley & Sons Ltd.
KW - BioCro
KW - bioenergy
KW - C4 photosynthesis
KW - crop model
KW - geospatial modeling
KW - mechanistic model
KW - Miscanthus
KW - perennial grasses
KW - short-rotation coppice
KW - Willow
KW - Wimovac
KW - Biofuels
KW - Crops
KW - Decision making
KW - Energy security
KW - Feedstocks
KW - Sand
KW - Soil moisture
KW - Bio-energy
KW - Crop model
KW - Geospatial model
KW - Mechanistic modeling
KW - Perennial grass
KW - Short rotation coppice
KW - Climate change
KW - crop yield
KW - deciduous tree
KW - grass
KW - photosynthesis
KW - prediction
KW - spatial resolution
KW - spatiotemporal analysis
KW - Denmark
KW - Jutland
U2 - 10.1111/gcbb.12318
DO - 10.1111/gcbb.12318
M3 - Journal article
VL - 8
SP - 1061
EP - 1070
JO - GCB Bioenergy
JF - GCB Bioenergy
SN - 1757-1693
IS - 6
ER -