Modeling the productivity of energy crops in different agro-ecological environments

Q. Jing, J.G. Conijn, R.E.E. Jongschaap, P.S. Bindraban

Research output: Contribution to journalArticleAcademicpeer-review

18 Citations (Scopus)

Abstract

A relatively stable biomass productivity of perennial crop after plantation establishment makes it possible to calculate their total biomass yield through predicting the annual biomass yield. The generic model LINPAC (LINTUL model for Perennial and Annual Crops) is presented to predict annual biomass yield of energy crops on large spatial scales by adding new modules to LINTUL: (1) Leaf Area Index (LAI) is simulated independent of specific leaf area; (2) a species specific daily Light Use Efficiency (LUE, g MJ-1) is modified by temperature and light intensity; (3) crop base temperature is generated by local weather conditions within crop physiological ranges. LINPAC is driven either by site-specific input data or by globally gridded weather and soil data. LINPAC was calibrated on the basis of a model sensitivity analysis of the input parameters and validated against different agro-ecological experimental data sets for two grass species Miscanthus (Miscanthus spp.) and Reed canary grass (Phalaris arundinacea L.), and for two woody species Willow (Salix spp.) and Eucalyptus (Eucalyptus spp.). LINPAC reproduced the biomass yields with a normalized root mean square error (RMSE) of 17%, comparable to the coefficient of variation (CV = 12%) of the experimental data. In the model photosynthetic pathways were differentiated by assigning higher LUE values for the C4 crop (Miscanthus) compared with the C3 crops (others), leading to higher simulated biomass yield of Miscanthus (18.8 ± 1.5 t ha-1) over Reed canary grass (10.5 ± 1.6 t ha-1) in comparable environments. LINPAC is applicable for local, regional and global estimations of biomass yield of energy crops.
Original languageEnglish
Pages (from-to)618-633
JournalBiomass and Bioenergy
Volume46
DOIs
Publication statusPublished - 2012

Fingerprint

energy crop
energy crops
Crops
Productivity
productivity
crop
Miscanthus
crops
Biomass
modeling
biomass
Phalaris arundinacea
light use efficiency
grass
Eucalyptus
weather
Salix
leaf area index
light intensity
leaf area

Keywords

  • miscanthus-x-giganteus
  • light-use efficiency
  • short-rotation coppice
  • reed canary grass
  • woody biomass production
  • phalaris-arundinacea l.
  • morphologically diverse varieties
  • radiation use efficiency
  • net primary production
  • dry-matter production

Cite this

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title = "Modeling the productivity of energy crops in different agro-ecological environments",
abstract = "A relatively stable biomass productivity of perennial crop after plantation establishment makes it possible to calculate their total biomass yield through predicting the annual biomass yield. The generic model LINPAC (LINTUL model for Perennial and Annual Crops) is presented to predict annual biomass yield of energy crops on large spatial scales by adding new modules to LINTUL: (1) Leaf Area Index (LAI) is simulated independent of specific leaf area; (2) a species specific daily Light Use Efficiency (LUE, g MJ-1) is modified by temperature and light intensity; (3) crop base temperature is generated by local weather conditions within crop physiological ranges. LINPAC is driven either by site-specific input data or by globally gridded weather and soil data. LINPAC was calibrated on the basis of a model sensitivity analysis of the input parameters and validated against different agro-ecological experimental data sets for two grass species Miscanthus (Miscanthus spp.) and Reed canary grass (Phalaris arundinacea L.), and for two woody species Willow (Salix spp.) and Eucalyptus (Eucalyptus spp.). LINPAC reproduced the biomass yields with a normalized root mean square error (RMSE) of 17{\%}, comparable to the coefficient of variation (CV = 12{\%}) of the experimental data. In the model photosynthetic pathways were differentiated by assigning higher LUE values for the C4 crop (Miscanthus) compared with the C3 crops (others), leading to higher simulated biomass yield of Miscanthus (18.8 ± 1.5 t ha-1) over Reed canary grass (10.5 ± 1.6 t ha-1) in comparable environments. LINPAC is applicable for local, regional and global estimations of biomass yield of energy crops.",
keywords = "miscanthus-x-giganteus, light-use efficiency, short-rotation coppice, reed canary grass, woody biomass production, phalaris-arundinacea l., morphologically diverse varieties, radiation use efficiency, net primary production, dry-matter production",
author = "Q. Jing and J.G. Conijn and R.E.E. Jongschaap and P.S. Bindraban",
year = "2012",
doi = "10.1016/j.biombioe.2012.06.035",
language = "English",
volume = "46",
pages = "618--633",
journal = "Biomass and Bioenergy",
issn = "0961-9534",
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Modeling the productivity of energy crops in different agro-ecological environments. / Jing, Q.; Conijn, J.G.; Jongschaap, R.E.E.; Bindraban, P.S.

In: Biomass and Bioenergy, Vol. 46, 2012, p. 618-633.

Research output: Contribution to journalArticleAcademicpeer-review

TY - JOUR

T1 - Modeling the productivity of energy crops in different agro-ecological environments

AU - Jing, Q.

AU - Conijn, J.G.

AU - Jongschaap, R.E.E.

AU - Bindraban, P.S.

PY - 2012

Y1 - 2012

N2 - A relatively stable biomass productivity of perennial crop after plantation establishment makes it possible to calculate their total biomass yield through predicting the annual biomass yield. The generic model LINPAC (LINTUL model for Perennial and Annual Crops) is presented to predict annual biomass yield of energy crops on large spatial scales by adding new modules to LINTUL: (1) Leaf Area Index (LAI) is simulated independent of specific leaf area; (2) a species specific daily Light Use Efficiency (LUE, g MJ-1) is modified by temperature and light intensity; (3) crop base temperature is generated by local weather conditions within crop physiological ranges. LINPAC is driven either by site-specific input data or by globally gridded weather and soil data. LINPAC was calibrated on the basis of a model sensitivity analysis of the input parameters and validated against different agro-ecological experimental data sets for two grass species Miscanthus (Miscanthus spp.) and Reed canary grass (Phalaris arundinacea L.), and for two woody species Willow (Salix spp.) and Eucalyptus (Eucalyptus spp.). LINPAC reproduced the biomass yields with a normalized root mean square error (RMSE) of 17%, comparable to the coefficient of variation (CV = 12%) of the experimental data. In the model photosynthetic pathways were differentiated by assigning higher LUE values for the C4 crop (Miscanthus) compared with the C3 crops (others), leading to higher simulated biomass yield of Miscanthus (18.8 ± 1.5 t ha-1) over Reed canary grass (10.5 ± 1.6 t ha-1) in comparable environments. LINPAC is applicable for local, regional and global estimations of biomass yield of energy crops.

AB - A relatively stable biomass productivity of perennial crop after plantation establishment makes it possible to calculate their total biomass yield through predicting the annual biomass yield. The generic model LINPAC (LINTUL model for Perennial and Annual Crops) is presented to predict annual biomass yield of energy crops on large spatial scales by adding new modules to LINTUL: (1) Leaf Area Index (LAI) is simulated independent of specific leaf area; (2) a species specific daily Light Use Efficiency (LUE, g MJ-1) is modified by temperature and light intensity; (3) crop base temperature is generated by local weather conditions within crop physiological ranges. LINPAC is driven either by site-specific input data or by globally gridded weather and soil data. LINPAC was calibrated on the basis of a model sensitivity analysis of the input parameters and validated against different agro-ecological experimental data sets for two grass species Miscanthus (Miscanthus spp.) and Reed canary grass (Phalaris arundinacea L.), and for two woody species Willow (Salix spp.) and Eucalyptus (Eucalyptus spp.). LINPAC reproduced the biomass yields with a normalized root mean square error (RMSE) of 17%, comparable to the coefficient of variation (CV = 12%) of the experimental data. In the model photosynthetic pathways were differentiated by assigning higher LUE values for the C4 crop (Miscanthus) compared with the C3 crops (others), leading to higher simulated biomass yield of Miscanthus (18.8 ± 1.5 t ha-1) over Reed canary grass (10.5 ± 1.6 t ha-1) in comparable environments. LINPAC is applicable for local, regional and global estimations of biomass yield of energy crops.

KW - miscanthus-x-giganteus

KW - light-use efficiency

KW - short-rotation coppice

KW - reed canary grass

KW - woody biomass production

KW - phalaris-arundinacea l.

KW - morphologically diverse varieties

KW - radiation use efficiency

KW - net primary production

KW - dry-matter production

U2 - 10.1016/j.biombioe.2012.06.035

DO - 10.1016/j.biombioe.2012.06.035

M3 - Article

VL - 46

SP - 618

EP - 633

JO - Biomass and Bioenergy

JF - Biomass and Bioenergy

SN - 0961-9534

ER -