Resumé
Formalizing biological processes in terms of thermodynamic parameters reveals that the generation of natural
organization and complexity is an emergent property of entropy in systems maintained far from equilibrium.
Understanding the interplay between thermodynamics, ecology and evolution provides key insights into how underlying
stochastic dynamics such as mutation and drift yield highly structured populations and communities.
Here, a stochastic mathematical model of ecological evolution, the Tangled Nature Model, is utilized to explore
the ecological dynamics and the emergence of structure that are so crucial to biology. The results of the model's
simulations demonstrate that the punctuated equilibria successively generated by the model's dynamics have increasing
entropies, and that this leads to emergent order, organization, and complexity over time.
| Originalsprog | Engelsk |
|---|---|
| Tidsskrift | Ecological Modelling |
| Vol/bind | 401 |
| Udgave nummer | June |
| Sider (fra-til) | 129-133 |
| ISSN | 0304-3800 |
| DOI | |
| Status | Udgivet - 2019 |
Citer dette
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Emergent structure in a stochastic model of ecological evolution. / Roach, Ty N.F.; Nulton, James; Sibani, Paolo; Rohwer, Forest; Salamon, Peter.
I: Ecological Modelling, Bind 401, Nr. June, 2019, s. 129-133.Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › peer review
TY - JOUR
T1 - Emergent structure in a stochastic model of ecological evolution
AU - Roach, Ty N.F.
AU - Nulton, James
AU - Sibani, Paolo
AU - Rohwer, Forest
AU - Salamon, Peter
PY - 2019
Y1 - 2019
N2 - Nonequilibrium thermodynamic theory has much to offer in explaining ecological and evolutionary processes.Formalizing biological processes in terms of thermodynamic parameters reveals that the generation of naturalorganization and complexity is an emergent property of entropy in systems maintained far from equilibrium.Understanding the interplay between thermodynamics, ecology and evolution provides key insights into how underlyingstochastic dynamics such as mutation and drift yield highly structured populations and communities.Here, a stochastic mathematical model of ecological evolution, the Tangled Nature Model, is utilized to explorethe ecological dynamics and the emergence of structure that are so crucial to biology. The results of the model'ssimulations demonstrate that the punctuated equilibria successively generated by the model's dynamics have increasingentropies, and that this leads to emergent order, organization, and complexity over time.
AB - Nonequilibrium thermodynamic theory has much to offer in explaining ecological and evolutionary processes.Formalizing biological processes in terms of thermodynamic parameters reveals that the generation of naturalorganization and complexity is an emergent property of entropy in systems maintained far from equilibrium.Understanding the interplay between thermodynamics, ecology and evolution provides key insights into how underlyingstochastic dynamics such as mutation and drift yield highly structured populations and communities.Here, a stochastic mathematical model of ecological evolution, the Tangled Nature Model, is utilized to explorethe ecological dynamics and the emergence of structure that are so crucial to biology. The results of the model'ssimulations demonstrate that the punctuated equilibria successively generated by the model's dynamics have increasingentropies, and that this leads to emergent order, organization, and complexity over time.
KW - Complexity
KW - Ecological succession
KW - Entropy
KW - Evolution
KW - Oganization
KW - Order
U2 - 10.1016/j.ecolmodel.2019.03.004
DO - 10.1016/j.ecolmodel.2019.03.004
M3 - Journal article
VL - 401
SP - 129
EP - 133
JO - Ecological Modelling
JF - Ecological Modelling
SN - 0304-3800
IS - June
ER -