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Buttò V, Shishov V, Tychkov I, Popkova M, He M, Rossi S, Deslauriers A, Morin H. Comparing the Cell Dynamics of Tree-Ring Formation Observed in Microcores and as Predicted by the Vaganov-Shashkin Model. FRONTIERS IN PLANT SCIENCE 2020; 11:1268. [PMID: 32922430 PMCID: PMC7457011 DOI: 10.3389/fpls.2020.01268] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/23/2020] [Accepted: 08/03/2020] [Indexed: 05/17/2023]
Abstract
New insights into the intra-annual dynamics of tree-ring formation can improve our understanding of tree-growth response to environmental conditions at high-resolution time scales. Obtaining this information requires, however, a weekly monitoring of wood formation, sampling that is extremely time-intensive and scarcely feasible over vast areas. Estimating the timing of cambial and xylem differentiation by modeling thus represents an interesting alternative for obtaining this important information by other means. Temporal dynamics of cambial divisions can be extracted from the daily tree-ring growth rate computed by the Vaganov-Shashkin (VS) simulation model, assuming that cell production is tightly linked to tree-ring growth. Nonetheless, these predictions have yet to be compared with direct observations of wood development, i.e., via microcoring, over a long time span. We tested the performance of the VS model by comparing the observed and predicted timing of wood formation in black spruce [Picea mariana (Mill.)]. We obtained microcores over 15 years at 5 sites along a latitudinal gradient in Quebec (Canada). The measured variables included cell size and the timing of cell production and differentiation. We calibrated the VS model using daily temperature and precipitation recorded by weather stations located on each site. The predicted and observed timing of cambial and enlarging cells were highly correlated (R 2 = 0.8); nonetheless, we detected a systematic overestimation in the predicted timing of cambial cells, with predictions delayed by 1-20 days compared with observations. The growth rate of cell diameter was correlated with the predicted growth rate assigned to each cambial cell, confirming that cell diameter developmental dynamics have the potential to be inferred by the tree-ring growth curve of the VS model. Model performances decrease substantially in estimating the end of wood formation. The systematic errors suggest that the actual relationships implemented in the model are unable to explain the phenological events in autumn. The mismatch between the observed and predicted timing of wood formation in black spruce within our study area can be reduced by better adapting the VS model to wet sites, a context for which this model has been rarely used.
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Affiliation(s)
- Valentina Buttò
- Département des Sciences fondamentales, Université du Québec à Chicoutimi, Chicoutimi, QC, Canada
- *Correspondence: Valentina Buttò,
| | - Vladimir Shishov
- Laboratory for Integral Studies of Forest Dynamics of Eurasia, Siberian Federal University, Krasnoyarsk, Russia
- Environmental and Research Center, South China Botanical Garden, Chinese Academy of Sciences, Guangzhou, China
| | - Ivan Tychkov
- Laboratory for Integral Studies of Forest Dynamics of Eurasia, Siberian Federal University, Krasnoyarsk, Russia
| | - Margarita Popkova
- Laboratory for Integral Studies of Forest Dynamics of Eurasia, Siberian Federal University, Krasnoyarsk, Russia
| | - Minhui He
- College of Forestry, Northwest Agriculture and Forestry University, Yangling, China
| | - Sergio Rossi
- Département des Sciences fondamentales, Université du Québec à Chicoutimi, Chicoutimi, QC, Canada
- Key Laboratory of Vegetation Restoration and Management of Degraded Ecosystems, Guangdong Provincial Key Laboratory of Applied Botany, South China Botanical Garden, Chinese Academy of Sciences, Guangzhou, China
| | - Annie Deslauriers
- Département des Sciences fondamentales, Université du Québec à Chicoutimi, Chicoutimi, QC, Canada
| | - Hubert Morin
- Département des Sciences fondamentales, Université du Québec à Chicoutimi, Chicoutimi, QC, Canada
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Ehrlich Y, Regev L, Kerem Z, Boaretto E. Radiocarbon Dating of an Olive Tree Cross-Section: New Insights on Growth Patterns and Implications for Age Estimation of Olive Trees. FRONTIERS IN PLANT SCIENCE 2017; 8:1918. [PMID: 29176987 PMCID: PMC5686044 DOI: 10.3389/fpls.2017.01918] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 06/11/2017] [Accepted: 10/23/2017] [Indexed: 06/07/2023]
Abstract
The age of living massive olive trees is often assumed to be between hundreds and even thousands of years. These estimations are usually based on the girth of the trunk and an extrapolation based on a theoretical annual growth rate. It is difficult to objectively verify these claims, as a monumental tree may not be cut down for analysis of its cross-section. In addition, the inner and oldest part of the trunk in olive trees usually rots, precluding the possibility of carting out radiocarbon analysis of material from the first years of life of the tree. In this work we present a cross-section of an olive tree, previously estimated to be hundreds of years old, which was cut down post-mortem in 2013. The cross-section was radiocarbon dated at numerous points following the natural growth pattern, which was made possible to observe by viewing the entire cross-section. Annual growth rate values were calculated and compared between different radii. The cross-section also revealed a nearly independent segment of growth, which would clearly offset any estimations based solely on girth calculations. Multiple piths were identified, indicating the beginning of branching within the trunk. Different radii were found to have comparable growth rates, resulting in similar estimates dating the piths to the 19th century. The estimated age of the piths represent a terminus ante quem for the age of the tree, as these are piths of separate branches. However, the tree is likely not many years older than the dated piths, and certainly not centuries older. The oldest radiocarbon-datable material in this cross-section was less than 200 years old, which is in agreement with most other radiocarbon dates of internal wood from living olive trees, rarely older than 300 years.
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Affiliation(s)
- Yael Ehrlich
- D-REAMS Radiocarbon Laboratory, Kimmel Center for Archaeological Science, Scientific Archaeology Unit, Weizmann Institute of Science, Rehovot, Israel
| | - Lior Regev
- D-REAMS Radiocarbon Laboratory, Kimmel Center for Archaeological Science, Scientific Archaeology Unit, Weizmann Institute of Science, Rehovot, Israel
| | - Zohar Kerem
- The Institute of Biochemistry, Food Science and Nutrition, The Robert H. Smith Faculty of Agriculture, Food and Environment, The Hebrew University of Jerusalem, Rehovot, Israel
| | - Elisabetta Boaretto
- D-REAMS Radiocarbon Laboratory, Kimmel Center for Archaeological Science, Scientific Archaeology Unit, Weizmann Institute of Science, Rehovot, Israel
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Healey AL, Lee DJ, Furtado A, Simmons BA, Henry RJ. Efficient Eucalypt Cell Wall Deconstruction and Conversion for Sustainable Lignocellulosic Biofuels. Front Bioeng Biotechnol 2015; 3:190. [PMID: 26636077 PMCID: PMC4653827 DOI: 10.3389/fbioe.2015.00190] [Citation(s) in RCA: 16] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/15/2015] [Accepted: 11/04/2015] [Indexed: 11/13/2022] Open
Abstract
In order to meet the world's growing energy demand and reduce the impact of greenhouse gas emissions resulting from fossil fuel combustion, renewable plant-based feedstocks for biofuel production must be considered. The first-generation biofuels, derived from starches of edible feedstocks, such as corn, create competition between food and fuel resources, both for the crop itself and the land on which it is grown. As such, biofuel synthesized from non-edible plant biomass (lignocellulose) generated on marginal agricultural land will help to alleviate this competition. Eucalypts, the broadly defined taxa encompassing over 900 species of Eucalyptus, Corymbia, and Angophora are the most widely planted hardwood tree in the world, harvested mainly for timber, pulp and paper, and biomaterial products. More recently, due to their exceptional growth rate and amenability to grow under a wide range of environmental conditions, eucalypts are a leading option for the development of a sustainable lignocellulosic biofuels. However, efficient conversion of woody biomass into fermentable monomeric sugars is largely dependent on pretreatment of the cell wall, whose formation and complexity lend itself toward natural recalcitrance against its efficient deconstruction. A greater understanding of this complexity within the context of various pretreatments will allow the design of new and effective deconstruction processes for bioenergy production. In this review, we present the various pretreatment options for eucalypts, including research into understanding structure and formation of the eucalypt cell wall.
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Affiliation(s)
- Adam L. Healey
- Queensland Alliance for Agriculture and Food Innovation, University of Queensland, St. Lucia, QLD, Australia
| | - David J. Lee
- Forest Industries Research Centre, University of the Sunshine Coast, Maroochydore, QLD, Australia
- Department of Agriculture and Fisheries, Forestry and Biosciences, Agri-Science Queensland, Gympie, QLD, Australia
| | - Agnelo Furtado
- Queensland Alliance for Agriculture and Food Innovation, University of Queensland, St. Lucia, QLD, Australia
| | - Blake A. Simmons
- Queensland Alliance for Agriculture and Food Innovation, University of Queensland, St. Lucia, QLD, Australia
- Joint BioEnergy Institute, Lawrence Berkeley National Laboratory, Emeryville, CA, USA
- Biological and Engineering Sciences Center, Sandia National Laboratories, Livermore, CA, USA
| | - Robert J. Henry
- Queensland Alliance for Agriculture and Food Innovation, University of Queensland, St. Lucia, QLD, Australia
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