Literature DB >> 12079523

The fractal nature of nature: power laws, ecological complexity and biodiversity.

James H Brown1, Vijay K Gupta, Bai-Lian Li, Bruce T Milne, Carla Restrepo, Geoffrey B West.   

Abstract

Underlying the diversity of life and the complexity of ecology is order that reflects the operation of fundamental physical and biological processes. Power laws describe empirical scaling relationships that are emergent quantitative features of biodiversity. These features are patterns of structure or dynamics that are self-similar or fractal-like over many orders of magnitude. Power laws allow extrapolation and prediction over a wide range of scales. Some appear to be universal, occurring in virtually all taxa of organisms and types of environments. They offer clues to underlying mechanisms that powerfully constrain biodiversity. We describe recent progress and future prospects for understanding the mechanisms that generate these power laws, and for explaining the diversity of species and complexity of ecosystems in terms of fundamental principles of physical and biological science.

Mesh:

Year:  2002        PMID: 12079523      PMCID: PMC1692973          DOI: 10.1098/rstb.2001.0993

Source DB:  PubMed          Journal:  Philos Trans R Soc Lond B Biol Sci        ISSN: 0962-8436            Impact factor:   6.237


  10 in total

1.  Spatial scaling laws yield a synthetic theory of biodiversity.

Authors:  M E Ritchie; H Olff
Journal:  Nature       Date:  1999-08-05       Impact factor: 49.962

2.  Invariant scaling relations across tree-dominated communities.

Authors:  B J Enquist; K J Niklas
Journal:  Nature       Date:  2001-04-05       Impact factor: 49.962

3.  Self-similarity in the distribution and abundance of species

Authors: 
Journal:  Science       Date:  1999-04-09       Impact factor: 47.728

4.  Criticality and scaling in evolutionary ecology.

Authors: 
Journal:  Trends Ecol Evol       Date:  1999-04       Impact factor: 17.712

5.  The role of area 17 in visual imagery: convergent evidence from PET and rTMS.

Authors:  S M Kosslyn; A Pascual-Leone; O Felician; S Camposano; J P Keenan; W L Thompson; G Ganis; K E Sukel; N M Alpert
Journal:  Science       Date:  1999-04-02       Impact factor: 47.728

6.  Ecosystem flow networks: loaded dice?

Authors:  R E Ulanowicz; W F Wolff
Journal:  Math Biosci       Date:  1991-02       Impact factor: 2.144

7.  Universality Classes of Optimal Channel Networks

Authors: 
Journal:  Science       Date:  1996-05-17       Impact factor: 47.728

8.  A general model for the origin of allometric scaling laws in biology.

Authors:  G B West; J H Brown; B J Enquist
Journal:  Science       Date:  1997-04-04       Impact factor: 47.728

9.  The fractal geometry of evolution.

Authors:  B Burlando
Journal:  J Theor Biol       Date:  1993-07-21       Impact factor: 2.691

10.  Fluid flow through hair-bearing appendages: feeding, smelling and swimming at low and intermediate Reynolds numbers.

Authors:  M A Koehl
Journal:  Symp Soc Exp Biol       Date:  1995
  10 in total
  35 in total

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Authors:  Donald McKenzie; Maureen C Kennedy
Journal:  Nat Commun       Date:  2012-03-06       Impact factor: 14.919

2.  Scaling law in free walking of mice in circular open fields of various diameters.

Authors:  Hiroto Shoji
Journal:  J Biol Phys       Date:  2016-01-18       Impact factor: 1.365

Review 3.  Evidence for complex system integration and dynamic neural regulation of skeletal muscle recruitment during exercise in humans.

Authors:  A St Clair Gibson; T D Noakes
Journal:  Br J Sports Med       Date:  2004-12       Impact factor: 13.800

Review 4.  Economy, speed and size matter: evolutionary forces driving nuclear genome miniaturization and expansion.

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Journal:  Ann Bot       Date:  2005-01       Impact factor: 4.357

5.  The application of statistical physics to evolutionary biology.

Authors:  Guy Sella; Aaron E Hirsh
Journal:  Proc Natl Acad Sci U S A       Date:  2005-06-24       Impact factor: 11.205

Review 6.  Biogeography: an emerging cornerstone for understanding prokaryotic diversity, ecology, and evolution.

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Journal:  Microb Ecol       Date:  2007-02       Impact factor: 4.552

7.  The complex structure of hunter-gatherer social networks.

Authors:  Marcus J Hamilton; Bruce T Milne; Robert S Walker; Oskar Burger; James H Brown
Journal:  Proc Biol Sci       Date:  2007-09-07       Impact factor: 5.349

8.  Predicting spatial similarity of freshwater fish biodiversity.

Authors:  Sandro Azaele; Rachata Muneepeerakul; Amos Maritan; Andrea Rinaldo; Ignacio Rodriguez-Iturbe
Journal:  Proc Natl Acad Sci U S A       Date:  2009-04-09       Impact factor: 11.205

9.  Rapid quantification of mitochondrial fractal dimension in individual cells.

Authors:  Isaac Vargas; Kinan Alhallak; Olivia I Kolenc; Samir V Jenkins; Robert J Griffin; Ruud P M Dings; Narasimhan Rajaram; Kyle P Quinn
Journal:  Biomed Opt Express       Date:  2018-10-09       Impact factor: 3.732

10.  Population divergence in fish elemental phenotypes associated with trophic phenotypes and lake trophic state.

Authors:  Quenton M Tuckett; Michael T Kinnison; Jasmine E Saros; Kevin S Simon
Journal:  Oecologia       Date:  2016-08-27       Impact factor: 3.225

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