کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
677195 1459847 2012 16 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Modeling the productivity of energy crops in different agro-ecological environments
موضوعات مرتبط
مهندسی و علوم پایه مهندسی شیمی تکنولوژی و شیمی فرآیندی
پیش نمایش صفحه اول مقاله
Modeling the productivity of energy crops in different agro-ecological environments
چکیده انگلیسی

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.


► A model is developed to simulate energy crops across agro-ecological regions.
► New modules are integrated to make this model applicable on a global spatial scale.
► Both site specific and globally gridded data can be used as input data for LINPAC.
► LINPAC satisfactorily reproduced the biomass production of four energy crops.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Biomass and Bioenergy - Volume 46, November 2012, Pages 618–633
نویسندگان
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