A novel growth model evaluating age–size effect on long‐term trends in tree growth

Matsushita, Michinari; Takata, Kanenori; Hitsuma, Gaku; Yagihashi, Tsutomu; Noguchi, Mahoko; Shibata, Mitsue; Masaki, Takashi

doi:10.1111/1365-2435.12416

Cited by 44 publications

(22 citation statements)

References 42 publications

(147 reference statements)

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“…This result is promising for the selection of P. koraiensis clones. Similar findings were reported on many tree species, indicating that selection based on phenotypic variation results is feasible [60][61][62][63]. Considering the extent of phenotypic variation, the clone variability in PCV values (%) seems to be slightly lower compared to prior P. koraiensis variation studies [9,10]; this is likely due to the age difference in Korean pine materials used in each study [61], the genetic properties (clone against families), planting design and different environmental conditions.…”

Section: Clone Variability Based On Phenotypic Characteristicssupporting

confidence: 70%

Phenotypic Variability and Genetic Diversity in a Pinus koraiensis Clonal Trial in Northeastern China

Kaviriri

Zhang

et al. 2020

Genes

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Combining phenotypic and genetic characteristics in a genetic variation study is of paramount importance to effectively orient the selection of producers’ elite trees in a seed orchard. In total, 28 phenotypic characteristics and 16 microsatellite loci were used to analyze the clonal genetic variation, to characterize the genetic diversity, and to refine the genetic classifications of 110 Pinus koraiensis clones grown in the Naozhi orchard in northeastern China. All clones were significantly different in most traits. Most of the phenotypic characteristics showed great genetic variation among clones, while the genotypic differentiation was weak between the selection sites of clones. The SSR markers showed a relatively high level of genetic diversity (Na = 4.67 ± 0.43, Ne = 2.916 ± 0.18, I = 1.15 ± 0.07, Ho = 0.69 ± 0.04, He = 0.62 ± 0.02, and mean polymorphic information content (PIC) of 0.574), with higher heterozygosity as an indication of a lower probability of inbreeding events in the orchard. Despite weak correlation coefficients between dissimilarity matrices (r(A/B), range equal to 0.022, p-value < 0.001), the genetic and phenotypic classifications congruently subdivided all the clones into three major groups. The patterns of phenotypic trait variations and genetic diversity are valuable to effectively select materials in breeding programs of P. koraiensis.

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Section: Clone Variability Based On Phenotypic Characteristicssupporting

confidence: 70%

Phenotypic Variability and Genetic Diversity in a Pinus koraiensis Clonal Trial in Northeastern China

Kaviriri

Zhang

et al. 2020

Genes

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“…The copyright holder for this preprint (which this version posted June 2, 2020. ; https://doi.org/10.1101/2020.06.01.128256 doi: bioRxiv preprint parameter value combinations would lead to similarly good or better results. Inverse modeling techniques such as Bayesian approaches (e.g., Martínez et al 2011;Matsushita et al 2015) could help to explore the entire parameter space more systematically and to quantifying local/global minima, parameter uncertainties, and collinearities among parameters. However, due to the considerable computation time of our model and the lack of plot data spanning the entire set of variables evaluated here, such systematic model calibration is currently unfeasible.…”

Section: Limitationsmentioning

confidence: 99%

Modeling the long-term dynamics of tropical forests: from leaf traits to whole-tree growth patterns

Petter

Kreft

Ong

et al. 2020

Preprint

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21Tropical forests are the most diverse terrestrial ecosystems and home to numerous tree species 22 with diverse ecological strategies competing for resources in space and time. Functional traits 23 influence the ecophysiological performance of tree species, yet the relationship between traits 24 and emergent long-term growth pattern is poorly understood. Here, we present a novel 3D forest 25 stand model in which growth patterns of individual trees and forest stands are emergent 26 properties of leaf traits. Individual trees are simulated as 3D functional-structural tree models 27 (FSTMs), considering branches up to the second order and leaf dynamics at a resolution of one 28 m 3 . Each species is characterized by a set of leaf traits that corresponds to a specific position on 29 the leaf economic spectrum and determines light-driven carbon assimilation, respiration and 30 mortality rates. Applying principles of the pipe model theory, these leaf scale-processes are 31 coupled with within-tree carbon allocation, i.e., 3D tree growth emerges from low-level 32 processes. By integrating these FSTMs into a dynamic forest stand model, we go beyond modern 33 stand models to integrate structurally-detailed internal physiological processes with interspecific 34 competition, and interactions with the environment in diverse tree communities. For model 35 calibration and validation, we simultaneously compared a large number of emergent patterns at 36 both the tree and forest levels in a pattern-oriented modeling framework. At the tree level, 37 varying specific leaf area and correlated leaf traits determined the maximum height and age of a 38 tree, as well as its size-dependent growth rate and shade tolerance. Trait variations along the leaf 39 economic spectrum led to a continuous transition from fast-growing, short-lived and shade-40 intolerant to slow-growing, long-lived and shade-tolerant trees. These emerging patterns 41 resembled well-known functional tree types, indicating a fundamental impact of leaf traits on 42 long-term growth patterns. At the forest level, a large number of patterns taken from lowland Neotropical forests were reproduced, indicating that our forest model simulates structurally 44 realistic forests over long time spans. Our ecophysiological approach improves the understanding 45 of how leaf level processes scale up to the tree and the stand level, and facilitates the 46 development of next-generation forest models for species-rich forests in which tree performance 47 emerges directly from functional traits. 48 49 Key words: 3D forest stand model, functional-structural tree model, agent-based model, 50 individual-based model, leaf economic spectrum, leaf traits, canopy structure, canopy dynamics, 51 tropical forest, physiological processes, pipe model theory, tree architecture 52 53 54 Tropical forests provide multiple social, ecological and economical services, represent the most 55 diverse terrestrial ecosystem, and play an important role in the global carbon cycle (Heywood 56 an...

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“…The mentioned studies analyzed trees from different geographical origins, including some from sites near the treeline where trees often grow in open space. Such growth situations may have an effect on age trends, i.e., under open space growth there is no neighbourhood competition and therefore no limitation of growth by adjacent trees (Matsushita et al, 2015). 50…”

Section: Introductionmentioning

confidence: 99%

“…Understanding the absolute growth rate change is rather complex as discussed for instance in Matsushita et al (2015). 230…”

mentioning

confidence: 99%

Alpine Holocene Tree-Ring Dataset: Age-related trends in the stable isotopes of cellulose show species-specific patterns

Arosio¹,

Ziehmer²,

Nicolussi³

et al. 2020

Preprint

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Abstract. Stable isotopes in tree-ring cellulose are important tools for climatic reconstructions even though their interpretation could be challenging due to non-climate signals, primarily those related to tree ageing. Previous studies on the presence of tree-age related trends during juvenile as well as adult growth phases in δD, δ18O and δ13C time series yielded variable results that are not coherent among different plant species. We analysed possible trends in the extracted cellulose of tree-rings of 85 larch trees and 119 cembran pine trees, i.e. in samples of one deciduous and one evergreen conifer species collected at the treeline in the Alps covering nearly the whole Holocene. The age trend analyses of all tree-ring variables were conducted on the basis of mean curves established by averaging the cambial-age aligned tree series. For cambial ages over 100 years, our results prove the absence of any age-related effect in the δD, δ18O and δ13C time series for both the evergreen as well the deciduous conifer species, with the only exception of larch δD. However, for lower cambial ages, we found trends that differ for each isotope and species. I.e., mean δ13C values in larch do not vary with ageing and can be used without detrending, whereas those in cembran pine show a juvenile effect and the data should be detrended. Mean δ18O values present two distinct ageing phases for both species complicating detrending. Similarly, mean δD values in larch change in the first 50 yr whereas cembran pine between 50–100 yr. Values for these two periods of cambial age for δD and δ18O should be used with caution for climatic reconstructions, ideally complemented by additional information regarding mechanisms for these trends.

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A novel growth model evaluating age–size effect on long‐term trends in tree growth

Cited by 44 publications

References 42 publications

Phenotypic Variability and Genetic Diversity in a Pinus koraiensis Clonal Trial in Northeastern China

Phenotypic Variability and Genetic Diversity in a Pinus koraiensis Clonal Trial in Northeastern China

Modeling the long-term dynamics of tropical forests: from leaf traits to whole-tree growth patterns

Alpine Holocene Tree-Ring Dataset: Age-related trends in the stable isotopes of cellulose show species-specific patterns

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