Literature DB >> 29800102

A study of crown development mechanisms using a shoot-based tree model and segmented terrestrial laser scanning data.

Risto Sievänen1, Pasi Raumonen2, Jari Perttunen1, Eero Nikinmaa3, Pekka Kaitaniemi4.   

Abstract

Background and Aims: Functional-structural plant models (FSPMs) allow simulation of tree crown development as the sum of modular (e.g. shoot-level) responses triggered by the local environmental conditions. The actual process of space filling by the crowns can be studied. Although the FSPM simulations are at organ scale, the data for their validation have usually been at more aggregated levels (whole-crown or whole-tree). Measurements made by terrestrial laser scanning (TLS) that have been segmented into elementary units (internodes) offer a phenotyping tool to validate the FSPM predictions at levels comparable with their detail. We demonstrate the testing of different formulations of crown development of Scots pine trees in the LIGNUM model using segmented TLS data.
Methods: We made TLS measurements from four sample trees growing in a forest on a relatively poor soil from sapling size to mature stage. The TLS data were segmented into internodes. The segmentation also produced information on whether needles were present in the internode. We applied different formulations of crown development (flushing of buds and length of growth of new internodes) in LIGNUM. We optimized the parameter values of each formulation using genetic algorithms to observe the best fit of LIGNUM simulations to the measured trees. The fitness function in the estimation combined both tree-level characteristics (e.g. tree height and crown length) and measures of crown shape (e.g. spatial distribution of needle area). Key
Results: Comparison of different formulations against the data indicates that the Extended Borchert-Honda model for shoot elongation works best within LIGNUM. Control of growth by local density in the crown was important for all shoot elongation formulations. Modifying the number of lateral buds as a function of local density in the crown was the best way to accomplish density control. Conclusions: It was demonstrated how segmented TLS data can be used in the context of a shoot-based model to select model components.

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Year:  2018        PMID: 29800102      PMCID: PMC6110348          DOI: 10.1093/aob/mcy082

Source DB:  PubMed          Journal:  Ann Bot        ISSN: 0305-7364            Impact factor:   4.357


  8 in total

1.  Shoot growth and crown development: effect of crown position in three-dimensional simulations.

Authors:  Eero Nikinmaa; Christian Messier; Risto Sievänen; Jari Perttunen; Mika Lehtonen
Journal:  Tree Physiol       Date:  2003-02       Impact factor: 4.196

2.  Full waveform hyperspectral LiDAR for terrestrial laser scanning.

Authors:  Teemu Hakala; Juha Suomalainen; Sanna Kaasalainen; Yuwei Chen
Journal:  Opt Express       Date:  2012-03-26       Impact factor: 3.894

3.  Functional-structural plant modelling.

Authors:  Christophe Godin; Herve Sinoquet
Journal:  New Phytol       Date:  2005-06       Impact factor: 10.151

4.  Computing competition for light in the GREENLAB model of plant growth: a contribution to the study of the effects of density on resource acquisition and architectural development.

Authors:  Paul-Henry Cournède; Amélie Mathieu; François Houllier; Daniel Barthélémy; Philippe de Reffye
Journal:  Ann Bot       Date:  2007-11-23       Impact factor: 4.357

5.  Measuring and modelling seasonal patterns of carbohydrate storage and mobilization in the trunks and root crowns of peach trees.

Authors:  David Da Silva; Liangchun Qin; Carolyn DeBuse; Theodore M DeJong
Journal:  Ann Bot       Date:  2014-09       Impact factor: 4.357

Review 6.  The shade-avoidance syndrome: multiple signals and ecological consequences.

Authors:  Carlos L Ballaré; Ronald Pierik
Journal:  Plant Cell Environ       Date:  2017-03-01       Impact factor: 7.228

7.  3D Tree Dimensionality Assessment Using Photogrammetry and Small Unmanned Aerial Vehicles.

Authors:  Demetrios Gatziolis; Jean F Lienard; Andre Vogs; Nikolay S Strigul
Journal:  PLoS One       Date:  2015-09-22       Impact factor: 3.240

8.  A functional and structural Mongolian Scots pine (Pinus sylvestris var. mongolica) model integrating architecture, biomass and effects of precipitation.

Authors:  Feng Wang; Véronique Letort; Qi Lu; Xuefeng Bai; Yan Guo; Philippe de Reffye; Baoguo Li
Journal:  PLoS One       Date:  2012-08-22       Impact factor: 3.240

  8 in total

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