| Literature DB >> 19325808 |
Donald L Rockwood1, Alan W Rudie2, Sally A Ralph2, J Y Zhu2, Jerrold E Winandy2.
Abstract
Eucalyptus species are native to Australia but grown extensively worldwide as short rotation hardwoods for a variety of products and as ornamentals. We describe their general importance with specific emphasis on existing and emerging markets as energy products and the potential to maximize their productivity as short rotation woody crops. Using experience in Florida USA and similar locations, we document their current energy applications and assess their productivity as short-term and likely long-term energy and related products.Entities:
Keywords: Corymbia torelliana; Eucalyptus; Eucalyptus amplifolia; Eucalyptus grandis; biofuels, silvichemicals; ethanol; short rotation woody crops
Year: 2008 PMID: 19325808 PMCID: PMC2635734 DOI: 10.3390/ijms9081361
Source DB: PubMed Journal: Int J Mol Sci ISSN: 1422-0067 Impact factor: 6.208
Area of productive eucalypt plantations and semi-natural forests (*) in 2005 by country, species, and age class [6].
| Area (1,000 ha) by Age Class (years) | |||||||
|---|---|---|---|---|---|---|---|
| Country | Species | 0–5 | 5–10 | 10–20 | 20–30 | 30–40 | >40 |
| RSA | nitens | 109.7 | 99.3 | 19.4 | 0.7 | 1.8 | |
| grandis | 144.1 | 140.7 | 44.9 | 3.7 | 1.7 | ||
| Sudan | spp | 118.2 | 189.1 | 165.5 | 8.0 | ||
| China | spp | 683.0 | 576.4 | 982.7 | 154.4 | ||
| India | spp | 43.0 | 64.4 | 103.2 | |||
| spp* | 656.1 | 984.2 | 1,576.0 | ||||
| Myanmar | camaldulensis | 1.1 | 2.1 | 2.2 | 1.1 | 0.5 | |
| Vietnam | spp | 222.4 | 286.5 | 67.1 | 7.0 | 3.0 | |
| Iran | spp | 24.6 | 6.2 | ||||
| Italy | spp | 7.0 | 8.2 | 8.2 | |||
| Australia | regnans | 5.2 | 0.2 | 2.8 | 3.7 | 4.7 | 1.1 |
| globulus | 131.2 | 260.1 | 48.7 | 1.1 | 0.4 | ||
| pilularis | 5.2 | 5.5 | 0.5 | 1.4 | 4.6 | 0.4 | |
| dunnii | 5.3 | 12.2 | 0.2 | ||||
| grandis | 5.2 | 5.5 | 0.5 | 1.4 | 4.6 | 0.4 | |
| Argentina | grandis | 15.8 | 32.6 | 34.5 | 11.8 | 3.9 | |
| Brazil | spp | 2118.1 | 756.5 | 121.0 | 30.3 | ||
| Chile | spp | 353.4 | 204.1 | 85.4 | 7.2 | 2.0 | |
| Subtotal | 4,648.6 | 3,633.8 | 3,262.8 | 231.8 | 27.2 | 1.9 | |
| Total | 11,806.1 | ||||||
EG, EA, and CT genotypes (their age in years, number of trees, and number of logs per genotype) and resulting numbers of stem disks and batch numbers in the FPL study.
| Species | Genotype (Age, No of trees, No of Logs) | Disks | Batches |
|---|---|---|---|
| 2805 (11.8,1,1), 2814(6.7,1,1), 2817(13.3,1,1) | 3 | EG1, EG2, EG3 | |
| 4836 (8.3,1,5), 4543 (8.3,1,1), 4853 (8.3,1,1), 4875 (8.3,1,1) | 6 | EA1, EA2, EA3, EA4, EA5, EA6 | |
| ? (∼15,1,1), ? (∼15,1,1), ? (∼15,1,1), ? (∼15,1,1) | 4 | CT1, CT2, CT3, CT4 |
Variation in log specific gravity (kg/m3) and moisture content (%) and batch fines (%), pH, and fiber length (mm) from Florida-grown EG, EA, and CT basal logs.
| Species | Genotype (Batch) | Age (yrs) | No of Trees | Specific Gravity | Moisture Content | Fines | pH | Fiber Length |
|---|---|---|---|---|---|---|---|---|
| 2805 (EG1) | 11.8 | 1 | 522 | 104 | 30.3 | 3.96 | - | |
| 2814 (EG2) | 6.7 | 1 | 470 | 129 | 32.1 | 4.30 | .673 | |
| 2817 (EG3) | 13.3 | 1 | 640 | 89 | 54.1 | 3.92 | - | |
| 4836 (EA5) | 8.3 | 1 | 527 | 107 | 53.1 | 3.89 | - | |
| 4843 (EA6) | 8.3 | 1 | 469 | 115 | 53.5 | 3.89 | - | |
| 4853 (EA1) | 8.3 | 1 | 506 | 109 | 70.7 | - | - | |
| 4875 (EA4) | 8.3 | 1 | 529 | 88 | 60.5 | 4.11 | .502 | |
| ? (CT1) | 15 | 1 | 526 | 80 | 48.6 | 4.17 | - | |
| ? (CT2) | 15 | 1 | 610 | 98 | 52.6 | 4.20 | - | |
| ? (CT3) | 15 | 1 | 555 | 94 | 37.1 | 4.23 | .472 | |
| ? (CT4) | 15 | 1 | 411 | 131 | 61.5 | 4.21 | - |
Figure 1.3C NMR spectra for condensates from two CT samples (top), two E. amplifolia samples (middle), and two EG samples (bottom).
Carbohydrate characterization for two Florida eucalypts.
| Species Batch | AI Ash | K. Lignin | ASL | Arabinan | Galactan | Rhamnan | Glucan | Xylan | Mannan |
|---|---|---|---|---|---|---|---|---|---|
| EG1 | −0.001 | 0.324 | 0.034 | 0.003 | 0.009 | 0.002 | 0.397 | 0.114 | 0.003 |
| EA4 | −0.002 | 0.345 | 0.034 | 0.004 | 0.013 | 0.002 | 0.374 | 0.111 | 0.005 |
Figure 2.Cellulose conversion efficiency by four methods for EG1.
Projected energy crop areas in 2025 by region and globally [2].
| Region | Energy crop area (ha × 103) under four IPCC scenarios | |||
|---|---|---|---|---|
| B1 | A1b | B2 | A2 | |
| North America | 14992 | 31004 | 41132 | 34985 |
| Central America | 3406 | 6489 | 10047 | 7550 |
| South America | 8521 | 8722 | 15687 | 8219 |
| Northern Africa | 182 | 0 | 0 | 0 |
| Western Africa | 182 | 257 | 142 | 102 |
| Eastern Africa | 101 | 137 | 80 | 53 |
| Southern Africa | 549 | 791 | 1376 | 706 |
| OECD Europe | 7266 | 19681 | 17886 | 15092 |
| Eastern Europe | 514 | 1826 | 2715 | 1647 |
| Former USSR | 3534 | 8916 | 7296 | 6092 |
| Middle East | 526 | 0 | 0 | 0 |
| South Asia | 5788 | 12469 | 12726 | 5171 |
| East Asia | 10068 | 18097 | 21609 | 12163 |
| Southest Asia | 1854 | 4501 | 7406 | 3521 |
| Oceania | 198 | 537 | 1594 | 1057 |
| Japan | 650 | 1150 | 1510 | 855 |
| World | 58332 | 114577 | 141206 | 97212 |