Journal of Integrative Agriculture ›› 2017, Vol. 16 ›› Issue (06): 1197-1210.DOI: 10.1016/S2095-3119(16)61592-7

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  • 收稿日期:2016-12-09 出版日期:2017-06-20 发布日期:2017-06-08

Modeling the biomass of energy crops: Descriptions, strengths and prospective

JIANG Rui1, 2, WANG Tong-tong1, SHAO Jin3, GUO Sheng1, ZHU Wei1, YU Ya-jun4, CHEN Shao-lin2, HATANO Ryusuke5   

  1.  1 Key Laboratory of Plant Nutrition and the Agri-environment in Northwest China, Ministry of Agriculture/College of Natural Resources and Environment, Northwest A&F University, Yangling 712100, P.R.China

    2 Biomass Energy Center for Arid and Semi-arid Lands, Northwest A&F University, Yangling 712100, P.R.China

    3 College of Water Resources and Architectural Engineering, Northwest A&F University, Yangling 712100, P.R.China

    4 College of Geography Sciences, Shanxi Normal University, Linfen 041000, P.R.China 5 Graduate School of Agriculture, Hokkaido University, Sapporo 060-8589, Japan

  • Received:2016-12-09 Online:2017-06-20 Published:2017-06-08
  • Contact: WANG Tong-tong, Mobile: +86-18829841695, E-mail: tongtwang@163.com
  • About author:JIANG Rui, Mobile: +86-15191864899, E-mail: jiangrui@nwsuaf.edu.cn
  • Supported by:

    This study is supported by the National Natural Science Foundation of China (41201279 and 41301304) and the Shaanxi Science and Technology for Co-ordination and Innovation Project, China (2016KTZDNY03-06).

Abstract: The assessment of the biomass of energy crops has garnered widespread interest since renewable bioenergy may become a substantial proportion of the future energy supply, and modeling has been widely used for the simulation of energy crops yields.  A literature survey revealed that 23 models have been developed or adapted for simulating the biomass of energy crops, including Miscanthus, switchgrass, maize, poplar, willow, sugarcane, and Eucalyptus camaldulensis.  Three categories (radiation model, water-controlled crop model, and integrated model with biochemical and photosynthesis and respiration approaches) were addressed for the selected models according to different principles or approaches used to simulate biomass production processes.  EPIC, ALMANAC, APSIM, ISAM, MISCANMOD, MISCANFOR, SILVA, DAYCENT, APEX and SWAT are radiation models based on a radiation use efficiency approach (RUE) with few empirical and statistical parameters.  The AquaCrop model is a typical water-crop model that emphasizes crop water use, the expression of canopy cover, and the separation of evapotranspiration to soil evaporation and plant transpiration to drive crop growth.  CANEGRO, 3PG, CropSyst and DSSAT are integrated models that use photosynthesis and respiration approaches.  SECRETS, LPJmL, Agro-BGC, Agro-IBIS, and WIMOVAC/BioCro, DNDC, DRAINMOD-GRASS, and AgTEM are integrated models that use biochemical approaches.  Integrated models are mainly mechanistic models or combined with functional models, which are dynamic with spatial and temporal patterns but with complex parameters and large amounts of input data.  Energy crop models combined with process-based models, such as EPIC in SWAT and CANEGRO in DSSAT, provide good examples that consider the biophysical, socioeconomic, and environmental responses and address the sustainability and socioeconomic goals for energy crops.  The use of models for energy crop productivity is increasing rapidly and encouraging; however, relevant databases, such as climate, land use/land cover, soil, topography, and management databases, are scarce.  Model structure and design assumptions, as well as input parameters and observed data, remain a challenge for model development and validation.  Thus, a comprehensive framework, which includes a high-quality field database and an uncertainty evaluation system, needs to be established for modeling the biomass of energy crops.

Key words: biomass, energy crops, models, database, principles