4.7 Article

The Evaluation of Radiation Use Efficiency and Leaf Area Index Development for the Estimation of Biomass Accumulation in Short Rotation Poplar and Annual Field Crops

Journal

FORESTS
Volume 9, Issue 4, Pages -

Publisher

MDPI
DOI: 10.3390/f9040168

Keywords

aboveground biomass; bioenergy; leaf area index; Populus

Categories

Funding

  1. Ministry of Education, Youth and Sports (project CzeCOS) [LM2015061]
  2. Ministry of Education, Youth and Sports (CzeCOS ProCES) [CZ.02.1.01/0.0/0.0/16_013/0001609]
  3. Mendel University in Brno, Czech Republic [IGA 53/2014]

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We evaluated the long-term pattern of leaf area index (LAI) dynamics and radiation use efficiency (RUE) in short rotation poplar in uncoppice (single stem) and coppice (multi-stem) plantations, and compared them to annual field crops (AFCs) as an alternative for bioenergy production while being more sensitive to weather fluctuation and climate change. The aim of this study was to evaluate the potential of LAI and RUE as indicators for bioenergy production and indicators of response to changing environmental conditions. For this study, we selected poplar clone J-105 (Populus nigra L. x P. maximowiczii A. Henry) and AFCs such as barley (Hordeum vulgare L.), wheat (Triticum aestivum L.), maize (Zea mays L.), and oilseed rape (Brassica napus L.), and compared their aboveground dry mass (AGDM) production in relation to their LAI development and RUE. The results of the study showed the long-term maximum LAI (LAI(max)) to be 9.5 in coppice poplar when compared to AFCs, where LAI(max) did not exceed the value 6. The RUE varied between 1.02 and 1.48 g MJ(-1) in short rotation poplar and between 0.72 and 2.06 g MJ(-1) in AFCs. We found both LAI and RUE contributed to AGDM production in short rotation poplar and RUE only contributed in AFCs. The study confirms that RUE may be considered an AGDM predictor of short rotation poplar and AFCs. This may be utilized for empirical estimates of yields and also contribute to improve the models of short rotation poplar and AFCs for the precise prediction of biomass accumulation in different environmental conditions.

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