quantitative wood anatomy - practical guidelines
Clicks: 100
ID: 157445
2016
Article Quality & Performance Metrics
Overall Quality
Not rated
Combines reader engagement with the AI quality analysis. This
article has not been analysed, so there is no overall score —
reader engagement is measured and shown alongside.
Reader Engagement
Steady Performance
29.7
/100
100 views
27 readers
AI Quality Assessment
Not analyzed
Readership in this journal
SteadyRanked #696 of 790 articles by views in phytochemistry letters
Most read
Least read
Bar heights use a square-root scale. Only the 120 most-read articles are drawn; the journal has 790 in total.
Mint this article as an NFT
Not yet mintedCreate a permanent, verifiable on-chain record of this article on the Scimatic Network. The NFT is held in your Journament account, and you can withdraw it to your own wallet at any time.
5
SUSD
one-off · no wallet required
Abstract
Quantitative wood anatomy analyzes the variability of xylem anatomical features in trees, shrubs and herbaceous species to address research questions related to plant functioning, growth and environment. Among the more frequently considered anatomical features are lumen dimensions and wall thickness of conducting cells, fibers and several ray properties. The structural properties of each xylem anatomical feature are mostly fixed once they are formed, and define to a large extent its functionality, including transport and storage of water, nutrients, sugars and hormones, and providing mechanical support. The anatomical features can often be localized within an annual growth ring, which allows to establish intra-annual past and present structure-function relationships and its sensitivity to environmental variability. However, there are many methodological obstacles to overcome when aiming at producing (large) data sets of xylem anatomical data.Here we describe the different steps from wood sample collection to xylem anatomical data, provide guidance and identify pitfalls, and present different image-analysis tools for the quantification of anatomical features, in particular conducting cells. We show that each data production step from sample collection in the field, microslide preparation in the lab, image capturing through an optical microscope and image analysis with specific tools can readily introduce measurement errors between 5 to 30% and more, whereby the magnitude usually increases the smaller the anatomical features. Such measurement errors – if not avoided or corrected – may make it impossible to extract meaningful xylem anatomical data in light of the rather small range of variability in many anatomical features as observed, for example, within time series of individual plants. Following a rigid protocol and quality control as proposed in this paper is thus mandatory to use quantitative data of xylem anatomical features as a powerful source for many research topics.
| Reference Key |
arx2016frontiersquantitative
Use this key to autocite in the manuscript while using
SciMatic Manuscript Manager or Thesis Manager
|
|---|---|
| Authors | ;Georg evon Arx;Alan eCrivellaro;Angela Luisa Prendin;Katarina eCufar;Marco eCarrer |
| Journal | phytochemistry letters |
| Year | 2016 |
| DOI |
10.3389/fpls.2016.00781
|
| URL | |
| Keywords |
Citations
No citations found. To add a citation, contact the admin at info@scimatic.org
Comments
No comments yet. Be the first to comment on this article.