Literature DB >> 22093803

Scaling and structure of dicotyledonous leaf venation networks.

Charles A Price1, Scott Wing, Joshua S Weitz.   

Abstract

There have been numerous attempts to derive general models for the structure and function of resource delivery networks in biology. Such theories typically predict the quantitative structure of vascular networks across scales. For example, fractal branching models of plant structure predict that the network dimensions within plant stems or leaves should be scale-free. However, very few empirical examples of such networks are available with which to evaluate such hypotheses. Here, we apply recently developed leaf network extraction software to a global leaf dataset. We find that leaf networks are neither entirely scale-free nor governed entirely by a characteristic scale. Indeed, we find many network properties, such as vein length distributions, which are governed by characteristic scales, and other network properties, notably vein diameter distributions, which are typified by power-law behaviour. Our findings suggest that theories of network structure will remain incomplete until they address the multiple constraints on network architecture.
© 2011 Blackwell Publishing Ltd/CNRS.

Mesh:

Year:  2011        PMID: 22093803     DOI: 10.1111/j.1461-0248.2011.01712.x

Source DB:  PubMed          Journal:  Ecol Lett        ISSN: 1461-023X            Impact factor:   9.492


  20 in total

1.  Developmentally based scaling of leaf venation architecture explains global ecological patterns.

Authors:  Lawren Sack; Christine Scoffoni; Athena D McKown; Kristen Frole; Michael Rawls; J Christopher Havran; Huy Tran; Thusuong Tran
Journal:  Nat Commun       Date:  2012-05-15       Impact factor: 14.919

2.  Estimates of leaf vein density are scale dependent.

Authors:  Charles A Price; Peter R T Munro; Joshua S Weitz
Journal:  Plant Physiol       Date:  2013-11-20       Impact factor: 8.340

3.  Using Fractal Geometry and Universal Growth Curves as Diagnostics for Comparing Tumor Vasculature and Metabolic Rate With Healthy Tissue and for Predicting Responses to Drug Therapies.

Authors:  Van M Savage; Alexander B Herman; Geoffrey B West; Kevin Leu
Journal:  Discrete Continuous Dyn Syst Ser B       Date:  2013-06       Impact factor: 1.327

4.  Leaf vein length per unit area is not intrinsically dependent on image magnification: avoiding measurement artifacts for accuracy and precision.

Authors:  Lawren Sack; Marissa Caringella; Christine Scoffoni; Chase Mason; Michael Rawls; Lars Markesteijn; Lourens Poorter
Journal:  Plant Physiol       Date:  2014-08-05       Impact factor: 8.340

5.  Computer vision cracks the leaf code.

Authors:  Peter Wilf; Shengping Zhang; Sharat Chikkerur; Stefan A Little; Scott L Wing; Thomas Serre
Journal:  Proc Natl Acad Sci U S A       Date:  2016-03-07       Impact factor: 11.205

6.  phenoVein-A Tool for Leaf Vein Segmentation and Analysis.

Authors:  Jonas Bühler; Louai Rishmawi; Daniel Pflugfelder; Gregor Huber; Hanno Scharr; Martin Hülskamp; Maarten Koornneef; Ulrich Schurr; Siegfried Jahnke
Journal:  Plant Physiol       Date:  2015-10-14       Impact factor: 8.340

7.  A Statistical Description of Plant Shoot Architecture.

Authors:  Adam Conn; Ullas V Pedmale; Joanne Chory; Charles F Stevens; Saket Navlakha
Journal:  Curr Biol       Date:  2017-07-06       Impact factor: 10.834

8.  Testing Foundations of Biological Scaling Theory Using Automated Measurements of Vascular Networks.

Authors:  Mitchell G Newberry; Daniel B Ennis; Van M Savage
Journal:  PLoS Comput Biol       Date:  2015-08-28       Impact factor: 4.475

9.  Scaling relationships between leaf mass and total plant mass across Chinese forests.

Authors:  Shanshan Xu; Yan Li; Genxuan Wang
Journal:  PLoS One       Date:  2014-04-23       Impact factor: 3.240

10.  ClearedLeavesDB: an online database of cleared plant leaf images.

Authors:  Abhiram Das; Alexander Bucksch; Charles A Price; Joshua S Weitz
Journal:  Plant Methods       Date:  2014-03-28       Impact factor: 4.993

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