Literature DB >> 23213227

Maximum entropy production, carbon assimilation, and the spatial organization of vegetation in river basins.

Manuel del Jesus1, Romano Foti, Andrea Rinaldo, Ignacio Rodriguez-Iturbe.   

Abstract

The spatial organization of functional vegetation types in river basins is a major determinant of their runoff production, biodiversity, and ecosystem services. The optimization of different objective functions has been suggested to control the adaptive behavior of plants and ecosystems, often without a compelling justification. Maximum entropy production (MEP), rooted in thermodynamics principles, provides a tool to justify the choice of the objective function controlling vegetation organization. The application of MEP at the ecosystem scale results in maximum productivity (i.e., maximum canopy photosynthesis) as the thermodynamic limit toward which the organization of vegetation appears to evolve. Maximum productivity, which incorporates complex hydrologic feedbacks, allows us to reproduce the spatial macroscopic organization of functional types of vegetation in a thoroughly monitored river basin, without the need for a reductionist description of the underlying microscopic dynamics. The methodology incorporates the stochastic characteristics of precipitation and the associated soil moisture on a spatially disaggregated framework. Our results suggest that the spatial organization of functional vegetation types in river basins naturally evolves toward configurations corresponding to dynamically accessible local maxima of the maximum productivity of the ecosystem.

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Year:  2012        PMID: 23213227      PMCID: PMC3529079          DOI: 10.1073/pnas.1218636109

Source DB:  PubMed          Journal:  Proc Natl Acad Sci U S A        ISSN: 0027-8424            Impact factor:   11.205


  11 in total

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Authors:  M B Davis; R G Shaw
Journal:  Science       Date:  2001-04-27       Impact factor: 47.728

2.  Size and form in efficient transportation networks.

Authors:  J R Banavar; A Maritan; A Rinaldo
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3.  Root : shoot ratios, optimization and nitrogen productivity.

Authors:  Göran I Agren; Oskar Franklin
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4.  Maximum entropy production allows a simple representation of heterogeneity in semiarid ecosystems.

Authors:  Stanislaus J Schymanski; Axel Kleidon; Marc Stieglitz; Jatin Narula
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2010-05-12       Impact factor: 6.237

5.  Maximum entropy production in environmental and ecological systems.

Authors:  Axel Kleidon; Yadvinder Malhi; Peter M Cox
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2010-05-12       Impact factor: 6.237

6.  Maximum entropy production and plant optimization theories.

Authors:  Roderick C Dewar
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2010-05-12       Impact factor: 6.237

Review 7.  A basic introduction to the thermodynamics of the Earth system far from equilibrium and maximum entropy production.

Authors:  A Kleidon
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2010-05-12       Impact factor: 6.237

Review 8.  Nonequilibrium thermodynamics and maximum entropy production in the Earth system: applications and implications.

Authors:  Axel Kleidon
Journal:  Naturwissenschaften       Date:  2009-02-26

9.  Optimization by simulated annealing.

Authors:  S Kirkpatrick; C D Gelatt; M P Vecchi
Journal:  Science       Date:  1983-05-13       Impact factor: 47.728

10.  Metabolic principles of river basin organization.

Authors:  Ignacio Rodriguez-Iturbe; Kelly K Caylor; Andrea Rinaldo
Journal:  Proc Natl Acad Sci U S A       Date:  2011-06-13       Impact factor: 11.205

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  2 in total

1.  Thermodynamic constraints on the assembly and diversity of microbial ecosystems are different near to and far from equilibrium.

Authors:  Jacob Cook; Samraat Pawar; Robert G Endres
Journal:  PLoS Comput Biol       Date:  2021-12-03       Impact factor: 4.475

2.  Entropy production selects nonequilibrium states in multistable systems.

Authors:  Robert G Endres
Journal:  Sci Rep       Date:  2017-10-31       Impact factor: 4.379

  2 in total

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