I. SYSTEMS ECOLOGY SYSTEMS ECOLOGY. SYSTEMS ECOLOGY- Theoretical. Systems ecology consists from three methodological parts (TEA): Background of:

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1 I. SYSTEMS ECOLOGY 1 SYSTEMS ECOLOGY Systems ecology consists from three methodological parts (TEA): - Theoretical: ecosystem theory - Analytical: conceptual and modeling theory - Experimental/application: modeling tools 2 SYSTEMS ECOLOGY- Theoretical Background of: - Systems - General system theory - Ecology and Ecosystem ecology 3 1

2 SYSTEMS ECOLOGY- Analytical Background of: - Ecological modeling - Modeling elements - Modeling procedure - Conceptual models 4 SYSTEMS ECOLOGY- Experimental Background of: - Induction of models from data - Induction of models from knowledge - Qualitative models for decision support 5 T-System "Any phenomenon, either structural or functional, having at least two separable components and some interaction between these components may be considered a system." Hall, Day "The whole is more than the sum of parts." Bertalanffy Common to the most definitions: A system is a combination of parts that interact and produce some new quality in their interaction 6 2

3 T-General systems theory - Science about abstract properties of systems. - It attempts to find commonality in things as diverse as atomic particles, ecosystems and political parties. - It was defined in 1940 and 50 by Ashby and Ross (1961- cybernetics) and Bertalanffy ( GST). 7 T-General systems theory - The idea: Whatever object interact, they must do so in certain well-defined ways. - They hoped that patterns of interaction would be fairly limited / they could be cataloged = > This has not come to pass. 8 T-General systems theory GST offers to systems ecology: - A structured world-view. - A structured approach to problem solving. - A theory of possible system behavior. - A set of power techniques for analyzing system behavior. 9 3

4 T-Ecology Since when we can speak about ecology? Greek scholar Theophrastus (300 bc): (associate of Aristotle) Johann Wolfgang von Goeth ( ) :dynamic point of view on living beings : study of morphology (forms and structures of organisms) Carl von Linne ( ): classification of living organisms based on their morphology Immanuel Kant ( ): distinguished between life and machine: parts of machine support functioning of the machine, parts of living organisms support growth, development and reproduction, selforganization is introduced Charles Robert Darwin ( ) Evolution theory based on natural selection principle Ernest Heinrich Haeckel ( ) Generelle Morphologie der Organismen (1866): ECOLOGY 10 T-Ecology Ernest Heinrich Haeckel (1866): Ecology : Oikos = household, home Logos = knowledge Ecology = Economics of nature The body of knowledge concerning the economy of nature the investigation of the total relationship of the animal both to its organic environment; including, above all, its friendly and inimical relations with those animals and plants with which it comes directly or indirectly into contact in a world ecology is the study of those complex interrelations referred to by Darwin as the conditions for struggle for existence. 11 T-Ecology living system : environment : science What is a living system? Open self-organizing thermodynamic system System consists of elements that exchange energy and mater through semipermeable membranes with its environment Function of living system is to perform matter-energy transformations Elements of living system are interrelated with flow of energy and matter cycles Out-puts from one component are inputs for another component: production-consumers structure Part of the energy and matter flows is used for control Physical structures that use energy and matter form their environment for growth and development and have hierarchical structure 12 4

5 T-Ecology living system : environment : science What is an environment? Set of elements that are not part of living system but are inseparable from it Set of conditions (biotic and abiotic) to which living system is exposed Abiotic elements: elements of non living environment => source and sink of energy and matter, they put physical constraints to living system (climate, soil conditions) => very unpredictable dynamic systems Biotic elements: living creatures in interactions with living system => different types of interactions: source of food, effects on elements of non living environment 13 T-Ecology living system : environment : science What is a science? Science (from the Latin scientia, meaning "knowledge" or "knowing") is the effort to discover, and increase human understanding of how the physical world works. It apples systematic approach to derive cognitions and knowledge about studied phenomena: Two approaches: Analytical parts elements classification structure quantity Holistic wholeness processes relations patterns quality 14 T-Ecology Permanent attempts toward deeper definition: The study of structure and function of the nature. (Odum 1971) The scientific study of the relationship between organisms and their environment. (McNaughton and Wolfe 1979) The study of organisms and their environment and the interrelationships between the two. (Putman and Wratten 1984) The study of the patterns of nature and how those patterns came to be, and how they change in space and time (Kingsland 1985) The study of the relationships between organisms and their physical and biological environment (Ehrlich abd Roughgarden 1987) 15 5

6 T-Ecology Functional definition - the most suitable and applicable: Ecology works at characterizing the patterns seen in nature, studying the complex interactions among organisms and their environment, and understanding the mechanisms involved in biological diversity. 16 T-Ecology Development of Ecology: According to the object of interest: Plant ecology Animal ecology Population ecology Community ecology Ecosystem ecology According to the object of application: Ecological Economics Ecological Informatics Ecological Engineering Ecosystem based management Nature protection Conservation biology Restoration ecology Landscape ecology Ecological Modelling 17 T-Ecosystem ecology Mailstones in ecosystem ecology H. A. Gleason (1916, 1939): - Plant community is composed from randomly selected species that have adopted to prevailing environmental conditions on particular site. - Community is not handicapped if some of the species are eliminated from it. It s properties are just the sum of its parts, F. E. Clements (1916, 1939): - Plant community is like living organism super-organism and its properties are defined by the interactions between the its components. 18 6

7 T-Ecosystem ecology Charles Elton (1927): - Trophic interactions between species are crucial for existence of plant or animal community - Pyramid of numbers is introduced as the indicator of the stability of community structure - Concepts of food chains and nutrient cycling are introduced in studies of communities 19 T-Ecosystem ecology John Phillipson (1934, 1935) upgraded Clement s ideas about community as functional unit / beginning with energetic studies of communities -Properties of the community are defined by interactions of its components and they are unpredictable Organisms that compose the community are under permanent influence of its environment and they make influence on the environment as well. Community and its physical environment are linked together. 20 T-Ecosystem ecology sir Arthur George Tansley (Ecology 1935): " We can not separate (the organisms ) from their special environment with which they form one physical system it is the system so formed which (provides) the basic units of nature on the face of the earth These ECOSYSTEMS, as we may call them, are of the most various kinds and sizes" Bitoic and abiotic components of ecosystem can not be studied separately. Biotop + biocenosis = ecosystem (bio-geo-cenozis) 21 7

8 T-Ecosystem ecology sir Arthur George Tansley (Ecology 1935): " We can not separate (the organisms ) from their special environment with which they form one physical system it is the system so formed which (provides) the basic units of nature on the face of the earth These ECOSYSTEMS, as we may call them, are of the most various kinds and sizes" Bitoic and abiotic components of ecosystem can not be studied separately. Biotop + biocenosis = ecosystem (bio-geo-cenozis) 22 T-Ecosystem ecology Biotic component = community - interacting organisms living in the area. Abiotic component = physical environment with which the organisms of community interact Three basic structural and functional components: 1. Autotrophs: energy capturing base of system: green plants and algae 2. Consumers: feed on living tissue 3. Decomposers: feed on dead matter or detritus that decompose it into inorganic substances 23 T-Ecosystem ecology 24 8

9 T-Ecosystem ecology 25 T-Ecosystem ecology 26 T-Ecosystem ecology Energy flow diagram of an agroecological system 27 9

10 T-Ecosystem ecology Development of ecosystem ecology F.E. Clements: plant community behaves as a complex organism that growths and develops through stages to a mature or climax stage. A.G. Tansley ( ): introduction of holistic combination of living organisms and their physical environment into a system called an ecosystem. Holistic concept of ecosystem has introduced nutrient cycling and feeding levels (producers and consumers) (A. Thienemann and F.A. Forel ), primary production and energy budgets (Edgar Transeau 1926) Description of succession in term of energy flow through the lake ecosystem (Lindman (1942), beginning of ecosystem ecology Application of general system theory and methods in ecology and introduction ecological modelling based on calculations performed with computer, SYSTEMS ECOLOGY was developed (Odum 1960 s). 28 SYSTEMS ECOLOGY- Analytical Background of: - Ecological modeling - Modeling elements - Modeling procedure - Conceptual models 29 SYSTEMS ECOLOGY- Experimental Background of: - Induction of models from data - Induction of models from knowledge - Qualitative models for decision support 30 10

11 SYSTEMS ECOLOGY Theoretical: ecosystem theory Analytical: conceptual and modeling theory Experimental/applicatio: modeling tools 31 SYSTEMS ECOLOGY Definitions: - The new ecology deals with the structure and function of levels of organization beyond that of the individual and species. E.P. Odum - Systems ecology is the application of general system theory and methods to ecology B. Patten - Systems ecology is the study of the development, dynamic and disruption of ecosystem. Van Dyne - Branch of ecosystem ecology (the study of energy budgets, biogeochemical cycles, and feeding and behavioral aspects of ecological communities) that attempts to clarify the structure and function of ecosystems by means of applied mathematics, mathematical models, and computer programs. : Encyclopedia Britannica 32 SYSTEMS ECOLOGY - Not a hypermathematical, abstract study. - It deals quite well with qualitative data as well. - SE aims to incorporate in logical structure as much of scientist s intuition and feelings for an ecosystem as possible. - SE is the study of the development, dynamic and disruption of ecosystem. Systems ecology = mathematical rigor + predictive power of general systems theory + tools from operational research and engineering + knowledge of natural history and ecology 33 11

12 Ecology - A little older the GST - Tansley introduced term ecosystem (1935) but the concept is much older: Mobius (1877) oyster reef as a biocenoses, Forbes (1887) lake as microcosm - Ecology is the science of interactions between the organisms and their environment. Odum (1971) 34 Systems ecology It involves: - Construction conceptual models of ecosystems - Statistical manipulation of data - Building dynamic models of ecosystems - Computer simulation - Applying systems analysis techniques to ecosystem models - Using of all above to formulate new hypothesis and tests for hypothesis in the field 35 Systems ecology different approaches Different approaches to address the goals of systems ecology. 1. Population evolution approach: Application Lotka-Voltera equations applied to communities Concepts of r- and K-selection, island biogeography, competition, predation as organising features of biological communities 36 12

13 Systems ecology different approaches 2. Theoretical/Biomathematical approach: Use of simple mathematical equations to get mathematical tractable results and intuitive insights. Optimization or optimal control is involved. 37 Systems ecology different approaches 3. Big biology Simulation approach Make big complicated differential equation models of big complicated systems. The model forms the focal point for interdisciplinary team of researchers. 38 Systems ecology different approaches 4. Statistical manipulation of data approach Take big data sets and apply ordination and classification statistics (factor analysis, principal component a., multivariate a.) and data mining techniques (decision trees, rules inductions, equation discovery)

14 Systems ecology different approaches 5. Systems dynamic approach Based on work of Forrester and Meadows from MIT: first world model, developed DYNAMO computer simulation language. Baseline studies in computer based ecological modelling 40 Systems ecology different approaches 6. Linear Modelling and Systems Analysis To use mathematical power of linear systems theory and systems analysis to model major processes in ecosystems 41 Systems ecology different approaches 7. Energy flow Analysis The energy is used as a common currency of all systems. By analyzing energy flows in natural and man-made systems the behavior of the systems is estimated

15 Systems ecology different approaches 8. Management modelling approach Results from various above mentioned approaches are used in decision support systems. Management of natural resources (agronomy, forestry, wild life, ) 43 Systems ecology CONNECTEDNESS RELATIONSHIPS CONTEXT Properties of the whole are not similar to any property of its parts Characteristics of the whole emerge from the interactions between its parts Characteristics of the system must be recognized in the context of its function for the system in which it is embedded Systems thinking is focused on the principles of organization of the system and not on its parts Systems thinking is just the opposite to analytical thinking. Systems thinking is process and nonlinear thinking. 44 Systems ecologist - Can not be expert with each analytic tools but he/she must be aware of their applications and limitations in the study of components and processes of ecosystem - He/she must be able to talk with the specialists in other disciplines 45 15

16 Systems ecologist - He/she will still require the tools of conventional ecology, but he can not relay on them alone - Problem should dictate the tool to be used and the opportunity to use a complex tool should not dictate the problem to be studied 46 Systems ecologist - The systems ecologist is a specialist in generalisation. - Applied ecologists (foresters) are closer to systems ecologist then conventional ecologist 47 Systems ecologist - He/she will require better education in mathematical, computer, chemical and physical subjects then conventional ecologist. - He/she must have abilities to coordinate interdisciplinary team of workers multidisciplinary nature of systems ecologist