Earth Systems Do Not Evolve To Equilibrium Fichter, Lynn S., Pyle, E.J., Whitmeyer, S.J.

Slides:



Advertisements
Similar presentations
What is BIOLOGY? E? How do you compare and contrast living organisms?
Advertisements

BEHAVIOR WITHOUT LEARNING Evolution and Development Chaos Theory and Darwins Butterfly The Nature of Evolution Recipes and Blueprints Variation and Selection.
Creation Stories vs. The Scientific Theory It is important to remember that many of these creation stories were not intended for literal interpretation.
Lynn S. Fichter Dept Geology/Environmental Science James Madison University 1410h AN: ED23C-03.
Overarching Goal: Understand that computer models require the merging of mathematics and science. 1.Understand how computational reasoning can be infused.
Lesson Overview 1.3 Studying Life.
Human Evolution Session I Matter-Universe A multidisciplinary anthropic focus.
Central question for the sciences of complexity. How do large networks with.
Energy The ultimate source of all energy on Earth.
Lectures on Cellular Automata Continued Modified and upgraded slides of Martijn Schut Vrij Universiteit Amsterdam Lubomir Ivanov Department.
Biomimicry, Mathematics, and Physics for Control and Automation: Conflict or Harmony? Kevin M. Passino Dept. Electrical Engineering The Ohio State University.
Geologic Time Tutoring Session: Lesson 3. Lesson 3 Origin and Evolution of Life.
This work is supported by a National Science Foundation (NSF) collaboration between the Directorates for Education and Human Resources (EHR) and Geociences.
Crosscutting Concepts and Disciplinary Core Ideas February24, 2012 Heidi Schweingruber Deputy Director, Board on Science Education, NRC/NAS.
Economic Complexity and Econometric Simplicity Prof. Ping Chen Spring /20/2004.
Artificial Chemistries – A Review Peter Dittrich, Jens Ziegler, and Wolfgang Banzhaf Artificial Life 7: , 2001 Summarized by In-Hee Lee.
Energy! Big Idea #2: Energy is needed to do stuff.
LEZIONE UNDICI SELF-ORGANIZATION AND EMERGENCE IN DYNAMIC SYSTEMS.
Strategies and Rubrics for Teaching Chaos and Complex Systems Theories as Elaborating, Self-Organizing, and Fractionating Evolutionary Systems Fichter,
Section 3: Beyond Darwinian Theory
Intro to Biology Purpose: to introduce the recurring themes of this course and describe the mechanisms by which science is explored.
Section 2: Applying Darwin’s Ideas
CHAPTER ONE The Scientific Method. Section 1: What is Science?  Science:  a way of learning more about the natural world.  questions about art, politics,
Strategies and Rubrics for Teaching Chaos and Complex Systems Theories as Elaborating, Self-Organizing, and Fractionating Evolutionary Systems Fichter,
Cell Energetics Concept Review. Energy: Big Idea in Science Energy flows in one direction, energy never cycles back to its source.
Bell Work Write the answers on the left hand side of your IAN
What is Physics? Physics is the study of matter and energy Physics has many subcategories: Mechanics- the study of motion Dynamics- the study of causes.
Bell-Ringer Activity Danielle Donaldson 10 th Grade Biology.
The Science of Complexity J. C. Sprott Department of Physics University of Wisconsin - Madison Presented to the First National Conference on Complexity.
Studying Life Section 1.3.
Last Words DM 1. Mining Data Steams / Incremental Data Mining / Mining sensor data (e.g. modify a decision tree assuming that new examples arrive continuously,
Strategies and Rubrics for Teaching Chaos and Complex Systems Theories as Elaborating, Self-Organizing, and Fractionating Evolutionary Systems Fichter,
Intro to Biology Purpose: to introduce the recurring themes of this course and describe the mechanisms by which science is explored.
Janine Bolliger 1, Julien C. Sprott 2, David J. Mladenoff 1 1 Department of Forest Ecology & Management, University of Wisconsin-Madison 2 Department of.
Strategies and Rubrics for Teaching Chaos and Complex Systems Theories as Elaborating, Self-Organizing, and Fractionating Evolutionary Systems Fichter,
What is my weak points.. Physical Sciences Molecules Share electrons Bigger atoms pull electrons closer, polarize (+, -) Between Nonmetals Ions Give and.
16.2 Applying Darwin’s Ideas
“It’s the “It’s the SYSTEM !” SYSTEM !” Complex Earth Systems
Biology 1060 Chapter 8 Introduction to Metabolism.
Strategies and Rubrics for Teaching Chaos and Complex Systems Theories as Elaborating, Self-Organizing, and Fractionating Evolutionary Systems Fichter,
Introduction to Biological Concepts and Research Chapter 1.
What is Evolution? How do things Evolve?. Ok, we have created the Earth Earth about 4.0 Ga. We now want to follow its evolution from past to present But.
Strategies and Rubrics for Teaching Chaos and Complex Systems Theories as Elaborating, Self-Organizing, and Fractionating Evolutionary Systems Fichter,
Janine Bolliger Swiss Federal Research Institute WSL/FNP,
A Model Based Reasoning by Introductory Students When Analyzing Earth Systems and Societal Challenges Lauren Holder Bruce Herbert.
Nonlinear Dynamics and Non- equilibrium Thermodynamics in Mesoscopic Chemical Systems Zhonghuai Hou ( 侯中怀 ) Shanghai , TACC2008
Natural Selection. Evolution by Natural Selection.
Strategies and Rubrics for Teaching Chaos and Complex Systems Theories as Elaborating, Self-Organizing, and Fractionating Evolutionary Systems Fichter,
Strategies and Rubrics for Teaching Chaos and Complex Systems Theories as Elaborating, Self-Organizing, and Fractionating Evolutionary Systems Fichter,
Introducing Science. Victorian Curriculum F–10 Released in September 2015 as a central component of the Education State Provides a stable foundation for.
This work is supported by a National Science Foundation (NSF) collaboration between the Directorates for Education and Human Resources (EHR) and Geociences.
Pattern Formation in Tissues Walter de Back, Fabian Rost, Lutz Brusch ZIH,TU Dresden Kondo and Miura 2010, Science 329, 1616.
The Science of Biology Chapter 1. Group #1 The characteristcs that all living things have in common are: 1. Cellular organization- all organisms consist.
Grant Rios Clae Macke. WHAT IS EVOLUTION? Gradual process in which something changes into a different and usually more complex or better form. Change.
Self-organizing algorithms Márk Jelasity. Decide Object control measure control loop Centralized Mindset: Control Loop ● problem solving, knowledge (GOFAI)
Information processing is evolving
On Routine Evolution of Complex Cellular Automata
AP Biology AP BIOLOGY BIG IDEAS.
Definition of Ecology Ernst Haeckel developed the concept of ecology in the 19th century Ecology literally means “the study of one’s house”; it is the.
Artificial Life - An Overview
Section 3: Beyond Darwinian Theory
Chemical Kinetics Relationship between reaction rate and the variables that exert influence on them. Mechanism of chemical reaction.
Self-organized criticality of landscape patterning
Strategies and Rubrics for Teaching Chaos and Complex Systems Theories as Elaborating, Self-Organizing, and Fractionating Evolutionary Systems Fichter,
Introducing Science.
Strategies and Rubrics for Teaching Chaos and Complex Systems Theories as Elaborating, Self-Organizing, and Fractionating Evolutionary Systems Fichter,
Understanding Science
Understanding Abundance
Introduction.
Populations Change Over Time through Natural Selection
Presentation transcript:

Earth Systems Do Not Evolve To Equilibrium Fichter, Lynn S., Pyle, E.J., Whitmeyer, S.J.

 Ask the average person on the street, “What is the theory of evolution...”... and they are likely to answer... Natural selection ? Darwin’s theory of evolution? Survival of the fittest? But, biological things are not the only things that evolve.

We tacitly agree that earth systems evolve. For example, The National Science Education Standards

Even our text books take for granted that the Earth is an evolutionary system.

Potential energy Kinetic energy Equilibrium End of Story If we acknowledge that Earth systems evolve, then why do we not have a formal theory of their evolution comparable to biological evolutionary theory? Because we model them as equilibrium systems

A+B Chemical ReactantsChemical Products C+D End of Story Chemical Equilibrium (maximum entropy) Similarly for chemical systems

Stable Equilibrium State Unstable Equilibrium State We do acknowledge that systems are not always at equilibrium So, we may speak of an... Which evolves into a..

We do acknowledge that systems are not always at equilibrium Or, we may speak of a dynamic equilibrium But, this acknowledges that the system has not evolved to the lowest energy state, but is continuously dissipating energy. Stable Equilibrium State Unstable Equilibrium State Unstable equilibrium and dynamic equilibrium are oxymorons. Surely we can do better than this.

Lots of potential energy stored in the rocks Potential energy released during earth quake causing the Earth to move and the ground to shake Earthquake finished Of course not, but then what theory is there to explain the behavior of systems through which energy passes continuously? Take Earthquakes Does this mean that the system is now closed, dead, unable to change more?

Ilya Prigogine ( ) There is another way to think about this Theory of dissipative structures, or non-equilibrium thermodynamics “In the world that we are familiar with, equilibrium is a rare and precarious state." Non-equilibrium thermodynamics, chaos theory, complex systems theory.

  And we cannot make a direct one-for-one comparison of the units and processes between them... Then Darwinian evolutionary theory (the Modern Synthesis) is a special case of evolution, not a general case.

1. Differentiate 2. Select 3. Amplify The units of selection and the information carriers are different in each kind of system but the algorithm is the same... Repeat  Three Evolutionary Theories

Differentiate, select, and amplify do not really explain how... Rocks evolve They evolve by completely different mechanisms. The Earth has evolved The atmosphere has evolved 

  1. Elaborating evolution Begin with something simple and increase it abundance, diversity, and complexity with time. 2. Fractionating evolution Begin with something complex and subdivide it into fractions.

   1. Elaborating evolution Begin with something simple and increase it abundance, diversity, and complexity with time. 2. Fractionating evolution Begin with something complex and subdivide it into fractions. 3. Self-organizing evolution The ability of a system to develop structures and patterns in the absence of control or manipulation by an external agent.

   Challenges Benefits Opportunities Complex systems concepts are often unfamiliar Ideas widely dispersed, but not yet well developed in the geosciences Opportunity to put all Earth systems on an integrated evolutionary theoretical foundation Ideas are not yet well developed in the geosciences; need new ways of recasting and teaching Earth processes in evolutionary language

   We use a variety of models and computer based experimental programs in our classes to introduce and explore elaborating, fractionating, and self- organizing evolutionary processes.

X next – the Logistic System And Deterministic Chaos X next = rX (1- X) X =.02 and r = 2.7 X next = rX (1-X) X next = (2.7) (.02) (1-.02 =.98) X next =.0529 Iteration X Value X =.02 and r = 2.7 X next = rX (1-X) X next = (2.7) (.02) (1-.02 =.98) X next = Equilibrium state

r = 2.9

r = 3.1

r = 3.4

r = 3.6

r = 3.8

r = 4.0

r = 4.1

Self Organized Criticality Evolution Via Self Organization

Cellular Automata Evolution Via Self Organization

Boris P.Belousov ( ) Temporal Oscillations Spatial Oscillations. Oscillating Chemical Reactions Evolution Via Self Organization

Reaction – Diffusion Chemical Reactions Evolution Via Self Organization

Network Theory – Graph Theory Evolution Via Self Organization

Hysteresis – Bistable Behavior Evolution Via Self Organization

Word Evolv Elaborating Evolution

Avida Elaborating Evolution

? Fractionating Evolution

4. System Linkages