Functional Approach to Simulating Short-Rotation Woody Crops in Process-Based Models

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• 作者：Tian Guo ; Bernard A. Engel ; Gang Shao ; Jeffrey G. Arnold…
• 关键词：Bioenergy ; Short ; rotation woody crops ; Hybrid poplar ; Cottonwood ; Process ; based models ; Biofuel production modeling
• 刊名：BioEnergy Research
• 出版年：2015
• 出版时间：December 2015
• 年：2015
• 卷：8
• 期：4
• 页码：1598-1613
• 全文大小：1,552 KB
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• 作者单位：Tian Guo (1)
  Bernard A. Engel (1)
  Gang Shao (2)
  Jeffrey G. Arnold (3)
  Raghavan Srinivasan (4)
  James R. Kiniry (3)
  
  1. Department of Agricultural and Biological Engineering, Purdue University, 225 South University Street, West Lafayette, IN, 47907-2093, USA
  2. Department of Forest and Natural Resources, Purdue University, 715 West State Street, West Lafayette, IN, 47907-2061, USA
  3. Grassland Soil and Water Research Laboratory, USDA-ARS, 808 East Blackland Rd, Temple, TX, 76502, USA
  4. Spatial Sciences Laboratory, Texas A&M University, College Station, TX, 76502, USA
  
• 刊物类别：Chemistry and Materials Science
• 刊物主题：Chemistry
  Biomaterials
  Biochemical Engineering
  Bioorganic Chemistry
  
• 出版者：Springer New York
• ISSN：1939-1242

文摘

Short-rotation woody crops (SRWCs) such as Populus have great potential as biofuel feedstocks. Biomass yields and yield stability at potential sites are important considerations when SRWCs are widely planted. The process-based, daily time-step simulation model Agricultural Land Management Alternative with Numerical Assessment Criteria (ALMANAC) offers promise as a useful tool to evaluate tree growth over large ranges of conditions. The objective of this study was to develop algorithms and growth parameters of hybrid poplar ‘Tristis #1-(Populus balsamifera L. × Populus tristis Fisch) and eastern cottonwood (Populus deltoides Bartr.) in ALMANAC and to improve simulation of leaf area index (LAI) and plant biomass as well as biomass partitioning. ALMANAC with the improved algorithms for LAI and weight of falling leaves was applied to hybrid poplar plots in Wisconsin and cottonwood plots in Mississippi, and the modeled biomass yield and LAI were compared with measured data to modify and evaluate the location-specific ALMANAC models. Improved algorithms for LAI and biomass simulation and suggested values and potential parameter ranges for hybrid poplar and cottonwood were reasonable (Nash-Sutcliffe model efficiency (NSE) 0.81?~-.99 and R 2 0.76?~-.99). ALMANAC with modified algorithms and parameters for Populus growth realistically simulated LAI, aboveground woody biomass, and root biomass of Populus. Thus, this model can be used for biofeedstock production modeling for Populus. The improved algorithms of LAI and biomass simulation for tree growth should also be useful for other process-based models, such as Soil and Water Assessment Tool (SWAT), Environmental Policy Integrated Climate (EPIC), and Agricultural Policy/Environmental eXtender (APEX). Keywords Bioenergy Short-rotation woody crops Hybrid poplar Cottonwood Process-based models Biofuel production modeling